The Study and Report

The analysis comes from the British Standards Institution’s new insight report, ‘Evolving Together: AI, Automation and Building the Skilled Workforce of the Future’. It surveyed more than 850 business leaders across eight countries, including the UK, and used AI tools to review 123 company annual reports to see how often themes such as automation, upskilling, and training appeared. The study set out to understand how employers are using AI, which roles are being affected, and what this means for workforce development and future talent pipelines.

What Employers Are Doing

The key finding of the report appears to be that employers are now actively testing AI before employing people. The report says that nearly a third of business leaders said their organisation explores an AI solution before considering a human hire. Two in five said AI is already helping them reduce their headcount, while a similar number reported that entry-level roles had already been reduced or cut as AI took on research and administrative work. Looking ahead, 43 per cent said they expect further reductions in junior roles over the next year. In the UK, 38 per cent of leaders expect to cut junior positions, and three quarters said AI is already helping reduce headcount.

The language appearing in company reports appears to tell a similar story. For example, the term “automation” appeared nearly seven times more often than “upskilling”, “training”, or “education”, suggesting that businesses are now prioritising cost reduction and efficiency over long-term workforce investment. Over half of those surveyed also said the benefits of implementing AI outweigh the disruption to jobs.

Why?

It seems that employers are framing AI as a route to productivity and competitiveness. For example, 61 per cent cited productivity and efficiency as a main reason for investing in AI, 49 per cent pointed to cost reduction, and 43 per cent said AI helps fill skills gaps. However, the BSI report notes that competitive pressure may be driving these decisions as much as actual evidence of success. Many businesses are keen not to appear behind their rivals, even if financial results are uncertain.

What It Means For Gen Z And Early Careers

For younger workers entering the job market, it looks as though the picture is becoming more challenging. Adzuna data shows that UK entry-level vacancies have fallen by about a third since late 2022, with such roles now representing a smaller share of all job postings. Also, Indeed has reported a one-third year-on-year fall in graduate listings, marking the toughest market since 2018. The BSI study captures the employer side of this trend, where a quarter of bosses believe all or most entry-level tasks could now be handled by AI.

BSI’s leaders warn about the long-term cost of this approach. “AI represents an enormous opportunity for businesses globally, but as they chase greater productivity and efficiency, we must not lose sight of the fact that it is ultimately people who power progress,” said Susan Taylor Martin, chief executive of BSI. She called for long-term workforce investment alongside AI spending. Kate Field, BSI’s global head of human and social sustainability, added that prioritising short-term productivity over early-career development risks weakening the skills pipeline and deepening generational inequality.

Signals From The Labour Market

The UK labour market itself has cooled through the summer. Official figures show unemployment at 4.7 per cent between May and July, a four-year high. Economists caution against linking this entirely to AI adoption, although the technology is clearly reshaping entry-level hiring.

International bodies are also monitoring exposure. For example, the International Monetary Fund estimates around 60 per cent of jobs in advanced economies could be affected by AI, with roughly half of these potentially seeing lower demand for human labour. The Organisation for Economic Co-operation and Development (OECD) has also found that about a third of vacancies are in occupations highly exposed to AI, with the UK near the top of that range. These findings support the idea that early-career, white-collar roles are among the most vulnerable to rapid automation.

Implications For Employers And Businesses

For companies, the short-term benefits are obvious. For example, AI can automate repetitive tasks, consolidate workflows, and reduce costs in areas such as administration, research, and reporting. However, the medium-term risk is quite significant. If firms eliminate entry-level positions faster than they develop new skills, they could face shortages of experienced managers and specialists later on. BSI’s analysis shows that larger companies are moving faster on headcount reduction than small and medium-sized enterprises (SMEs), but they are also more likely to have a formal AI learning and development programme. That leaves SMEs in a difficult position, potentially expected to train the next generation of workers while competing for scarce talent.

What About ROI?

Return on investment is another area of uncertainty. For example, IBM’s 2025 CEO Study reported that only a quarter of AI initiatives had actually delivered expected results in recent years, and an MIT-linked study this summer found that most enterprise generative AI projects produced no measurable effect on profit or efficiency. An EY survey of nearly a thousand large companies reached similar conclusions, finding that many experienced early financial losses due to compliance issues, inaccurate outputs, and operational disruption. These findings suggest that while firms are enthusiastic about AI, many are still learning how to achieve any real value from it.

Employees And The Economy

For workers, especially Gen Z, the decline in entry-level roles reduces opportunities to gain essential experience. That has implications for career progression, pay growth, and social mobility. The BSI findings also highlight sentiment among managers, more than half of whom said they feel lucky to have started their careers before AI became widespread. This fuels perceptions among younger people that they face a more precarious employment landscape. The Trades Union Congress has also reported that half of UK adults worry AI could alter or take their job, underlining growing anxiety around the technology’s impact on employment.

At the wider economic level, a balanced transition is crucial. For example, international studies suggest that AI can raise productivity if it’s paired with investment in human skills. The OECD links high AI exposure with rising demand for management, social, and digital capabilities, while the IMF stresses that policy and employer choices will determine whether AI adoption produces better jobs or simply less work. It should be noted that the direction is not inevitable, but depends on how businesses and governments respond.

Other Stakeholders

For AI providers, the BSI data signals strong short-term demand for automation tools, especially those aimed at streamlining office-based and knowledge roles. It also points to increasing scrutiny. Employers are demanding clearer evidence of ROI, and policymakers are watching workforce impacts closely. Some commentators, for example, are warning about inflated AI valuations, and the IMF has highlighted the risk of market concentration among a few large AI firms. For educators and training providers, the opportunity is equally clear. If businesses are automating junior roles, then building AI literacy and human-centred skills such as creativity, empathy, and collaboration into education and early careers becomes increasingly essential.

Challenges And Criticisms

Taking a step back, three key issues appear to stand out from all this:

1. An over-reliance on automation without parallel investment in upskilling risks hollowing out future leadership pipelines. The imbalance in corporate language, where automation dominates over training, suggests short-termism.

2. ROI from AI remains inconsistent. For example, surveys from IBM, MIT, and EY show that many organisations either struggle to capture financial gains or face early project losses, raising doubts about the business case for replacing human development with automation.

3. There is now a widening gap between large and small employers in their ability to offer AI-related training. That leaves SMEs carrying much of the responsibility for developing Gen Z talent while lacking the same resources as bigger corporations.

BSI’s leaders emphasise that an AI-enabled workforce still needs to be developed. The report concludes that “the future belongs to skills that machines can’t replicate—for example, creativity, empathy, and collaboration.” Businesses, it says, must evolve to nurture these human strengths alongside technical literacy if they want to remain competitive and sustainable.

Looking Ahead

Looking ahead, hiring trends at the entry level are likely to be the key measure. Job-board data through 2025 already shows fewer openings in several professional fields even as AI-related roles expand. Policy direction will also be crucial. The British Standards Institution and other regulators are expected to continue shaping frameworks for responsible AI adoption. Measuring productivity outcomes and workforce investment side by side will determine whether this phase of AI-driven restructuring delivers lasting value, or leaves a generation behind.

What Does This Mean For Your Business?

The findings in the report suggest that the next stage of AI adoption will test how well businesses balance efficiency with long-term workforce stability. Employers that continue cutting entry-level positions without replacing them with structured learning or graduate pathways could soon face internal skills gaps that limit growth. For UK businesses, this raises a strategic question about sustainability. For example, automation can reduce costs, but without a consistent flow of skilled recruits, firms may find themselves competing for an ever-smaller pool of experienced professionals, pushing up wages and weakening future competitiveness.

There are also wider economic implications to consider. A reduction in entry-level hiring may suppress social mobility and delay young workers’ transition into full employment, which in turn affects consumer spending and tax revenues. Economists have warned that productivity gains from AI will only materialise if human capital keeps pace with technology. For policymakers, the challenge will be encouraging responsible innovation while safeguarding the foundations of the labour market. The BSI’s call for long-term thinking reflects growing concern that the UK’s current AI strategy must be paired with investment in training and skills if the benefits are to be shared across society.

For AI companies, the trend creates both opportunity and risk. Demand for automation is strong, but expectations are rising. Businesses are beginning to scrutinise outcomes more closely and may demand clearer, measurable returns. Providers that can demonstrate reliability, data security, and real efficiency improvements will be best placed to maintain momentum once early enthusiasm fades. Education and training providers also stand to gain if they can help bridge the gap between technical capability and human development, ensuring that younger workers can work effectively with, rather than against, AI systems.

Beyond the headline story here, the more rounded message emerging from the BSI’s report, is that the path forward cannot rely solely on automation. Businesses, governments, and educators will need to work together to build a future workforce that complements AI rather than competes with it. Without that alignment, the short-term pursuit of productivity could come at the long-term expense of capability, resilience, and opportunity.

The post Featured Article : Employers Choose AI Over Gen Z appeared first on Mear Technology.

Share Sale

The transaction, finalised on 2 October, allows OpenAI workers and alumni to sell their equity stakes to a group of institutional investors including Thrive Capital, SoftBank, Dragoneer Investment Group, Abu Dhabi’s MGX, and T. Rowe Price. The valuation, based on the deal pricing, makes OpenAI the most valuable privately held company in the world, thereby even overtaking Elon Musk’s SpaceX.

What The Transaction Involved

Unlike a traditional fundraising round where capital is injected into the business, this was a secondary share sale, meaning the money went directly to eligible employees and former employees who had held equity for at least two years. The move provided liquidity without OpenAI going public, while still attracting long-term investors to increase their exposure.

Up To $10.3 Billion

OpenAI had reportedly authorised up to $10.3 billion worth of stock for sale, though around two-thirds of that was ultimately sold. According to various reports, e.g. by the likes of Bloomberg and CNBC, the lower participation rate is being viewed internally as a sign of confidence in the company’s future, with many employees choosing to hold onto their equity at the new, higher valuation.

Second Of Its Kind This Year

This is the second major employee-focused share sale OpenAI has conducted in under a year. For example, a previous deal in November 2024 saw SoftBank purchase around $1.5 billion of stock from OpenAI employees.

Why It Matters And Why Now

The $500 billion valuation represents quite a significant increase from OpenAI’s last primary funding round in early 2025, which raised $40 billion at a $300 billion valuation. Many of the same investors returned for the latest deal, thereby appearing to reinforce their commitment to the company’s long-term growth.

The timing appears to reflect multiple overlapping objectives for OpenAI. For example:

Keeping hold of top AI talent, as companies like Meta and Google DeepMind continue to offer extremely high salaries to attract researchers. Meta reportedly hired at least seven senior OpenAI engineers earlier this year, with offers reaching into nine figures.

Giving employees a way to cash out some of their shares without OpenAI having to go public. Other large tech firms like Stripe, Databricks, and SpaceX have used similar share sales to reward staff while staying private.

Showing that investors are still backing the company, even at a much higher valuation than earlier this year. The sale actually gives OpenAI a fresh benchmark and highlights continued demand from long-term backers as it pushes ahead with major infrastructure plans.

Growing Fast But Spending Aggressively

Even though OpenAI is currently growing fast, it is also spending aggressively. For example, the company reported $4.3 billion in revenue in the first half of 2025 alone, but is also understood to have burned through $2.5 billion in cash over the same period.

It’s worth noting that much of this is being invested in the systems and infrastructure needed to run and train its AI models at scale. OpenAI has reportedly committed to spending $300 billion over five years on Oracle cloud services, and recently signed a letter of intent with Nvidia for an even larger strategic deal. According to Nvidia CEO Jensen Huang, the partnership will involve building 10 gigawatts of AI infrastructure capacity and could be worth up to $100 billion.

These numbers are unmatched by any other AI company and significantly exceed OpenAI’s current revenues and reserves. However, the scale of the infrastructure plan is seen as necessary if the company is to maintain its lead in large language models, video AI (such as the recently launched Sora 2), and enterprise platform offerings.

Microsoft, Governance, And Control

The share sale comes shortly after OpenAI announced a non-binding memorandum of understanding with Microsoft, its largest strategic partner, to support the company’s proposed conversion into a Public Benefit Corporation (PBC). If approved, this would move OpenAI’s for-profit operations into a new corporate structure in which its original non-profit would hold a controlling stake and retain final say on its mission and direction.

Chairman Bret Taylor described the change as a way to preserve OpenAI’s founding principles while enabling long-term commercial success. As he wrote in a public statement, “OpenAI started as a nonprofit, remains one today, and will continue to be one”. It seems that the new structure is designed to align the business’s growth with public-interest goals, but the transition still needs to be ratified by regulators and stakeholders, and is not yet legally confirmed.

This uncertainty means the governance model remains a point of concern for some observers. In particular, it raises questions about investor rights, accountability, and how decisions are made when commercial and ethical priorities diverge.

Competitors

The valuation is bound to send a strong message to the broader AI sector. For example, at $500 billion, OpenAI is now worth more than SpaceX, and far ahead of rivals such as Anthropic, xAI, Cohere, and Mistral. While this provides a benchmark for others raising capital, it’s also likely to intensify pressure across the market.

Clearly, companies building competing foundation models now face an even more aggressive funding environment. Talent retention and access to compute resources are already competitive, and OpenAI’s ability to reward employees with liquidity and attract deep-pocketed investors could make those gaps wider.

At the same time, other AI players may benefit from investor interest spilling over. Several large funding rounds have taken place in 2025 already, and OpenAI’s valuation may increase attention on smaller but promising firms developing more specialised or safety-focused models.

Business Users And Partners

For enterprise users of OpenAI’s product, including ChatGPT Enterprise, the API platform, and integrations via Microsoft Azure, the sale is more than symbolic. For example, if infrastructure build-outs proceed as planned, customers could see faster development of new model capabilities, better service availability, and reduced latency. The ongoing partnerships with Microsoft and Oracle also suggest continued alignment between OpenAI’s roadmap and enterprise delivery platforms.

However, the sheer scale of OpenAI’s commitments and its growing dependence on just a few suppliers and investors looks likely to introduce complexity. Many of its largest deals now involve overlapping roles. For example, Nvidia is both a supplier of hardware and a major investor, while Microsoft is both a partner and a platform.

This has already attracted attention from regulators concerned about market concentration and fair access to compute. Antitrust scrutiny of vertical integration in AI is increasing, particularly in the US and Europe.

Benefits And Tensions

Of course, the share sale offers immediate financial benefits to those who helped build OpenAI in its early stages. For example, many current and former employees have now been able to realise part of their equity gains without waiting for an IPO.

For investors, the transaction provides greater access to a company widely seen as the frontrunner in general-purpose AI. SoftBank, Thrive Capital, and other returning backers have all increased their exposure despite the steep rise in valuation since earlier in the year.

Strategic partners also stand to gain from closer alignment. Microsoft, in particular, stands to benefit from continued integration of OpenAI’s models across its Azure cloud services, Office products, and developer tools.

That said, many challenges remain. For example, the company’s rapid growth, mounting costs, structural complexity, and competition for talent all present ongoing risks. With no confirmed path to IPO, and no public financial statements, some analysts are also questioning how sustainable a $500 billion valuation will prove if revenue growth slows or infrastructure plans are delayed.

Others have also highlighted the potential conflict between mission and commercial goals, especially as the company works to convert its structure while navigating regulatory and competitive headwinds.

What Does This Mean For Your Business?

OpenAI’s record-breaking share sale and resulting valuation are likely to send a clear message to investors, rivals, regulators, and customers alike. At $500 billion, the company is now operating at a scale where its decisions carry weight well beyond the AI sector. While the transaction did not raise new capital for OpenAI directly, it has strengthened relationships with major long-term investors, helped reward and retain key staff, and established a new private market benchmark that will likely influence how other companies in the space are valued and funded.

The scale of the valuation is also likely to shape expectations, particularly around delivery of OpenAI’s ambitious infrastructure commitments and the pace of future product development. The company is positioning itself as a central player in the next wave of general-purpose computing, but its ability to deliver depends heavily on partnerships that now blend commercial, financial, and strategic interests in complex ways. That convergence may enable faster execution, but it also increases the concentration of influence and raises questions about resilience and independence.

For UK businesses, the implications are already being felt. For example, many are now embedding OpenAI-powered tools into internal workflows, customer services, and development environments via Microsoft Azure, GitHub Copilot, or ChatGPT Enterprise. As OpenAI expands its model range and infrastructure footprint, UK firms could benefit from improved access, better availability, and deeper integrations with mainstream business software. However, they also face growing dependencies on a relatively narrow set of providers. With regulators in both the UK and Europe now examining the market power of foundation model developers, these relationships may soon come under greater scrutiny.

What comes next will depend not just on OpenAI’s growth but also on how it navigates governance reform, revenue pressure, regulatory demands, and increasing competition from well-funded challengers. The share sale has delivered liquidity, signalled strength, and reinforced investor appetite, but it also raises the stakes. As the company continues to scale, each strategic decision is likely to face greater scrutiny, both from those building with its tools and those watching what its influence means for the wider market.

The post Featured Article : OpenAI World’s Most Valuable Private Company appeared first on Mear Technology.

Surveillance Trial Rolling Out in London and Bath

The supermarket chain confirmed that an eight-week pilot programme is underway at a small number of stores in London and Bath. The facial recognition cameras are supplied by Facewatch, a UK-based security technology firm that already provides similar services to a range of retailers.

The system captures the biometric data of individuals who are already on a watchlist for suspected theft or abuse. If someone flagged on this list enters a participating store, an alert is sent to staff in real time. Sainsbury’s says the trial is being used only at locations with a high incidence of repeat offending.

The trial began in late August and is expected to run through to October. Depending on results, it could be expanded to more branches across the UK. Facewatch claims its technology can help retailers cut shoplifting and abuse by deterring known offenders and giving staff more time to intervene safely.

Why Sainsbury’s Is Doing This Now

Retail crime has surged in recent years, with the British Retail Consortium (BRC) estimating the total cost to the sector at £1.76 billion in 2023, including £1.04 billion in customer theft alone. Also, physical assaults and abuse of shop workers have also been rising sharply, prompting calls for tougher enforcement and more robust security measures.

Sainsbury’s said in a statement: “We’re constantly looking at new ways to keep our colleagues and customers safe. We’re currently trialling facial recognition in a small number of stores where there is a high level of crime.”

Signage About It

The company emphasised that the technology is not being used for general customer surveillance or profiling, and that signage is in place at affected locations to notify shoppers that facial recognition is in use.

Powered by Facewatch (Controversially)

The system being used by Sainsbury’s is provided by Facewatch, a private facial recognition firm founded in 2010. Facewatch says it operates within UK GDPR and the Protection of Freedoms Act 2012, and only stores data on those individuals who have been involved in past incidents, as reported by retailers.

Its technology compares live CCTV footage to images held in its centralised database of “subjects of interest.” If there is a match, an alert is sent to store staff with a still-image and time-stamped location data.

While Facewatch has been used by independent retailers, petrol stations and other supermarket chains including Southern Co-op and Budgens, it has not previously been adopted by any of the UK’s four major supermarket brands at this scale.

It seems that the company has drawn some criticism from privacy campaigners for operating a privately managed watchlist system that can share biometric alerts between businesses, with concerns raised about accuracy, accountability, and the lack of independent oversight.

The move by Sainsbury’s essentially takes facial recognition further into the retail mainstream and puts the technology under new levels of public and regulatory scrutiny. It also raises the stakes for how and where this kind of surveillance may be used next across the sector.

Privacy Groups Push Back

Civil liberties organisations were quick to voice concerns. For example, Big Brother Watch, a UK privacy campaign group, accused Sainsbury’s of introducing “unnecessary and Orwellian” surveillance under the guise of crime prevention.

“Facial recognition surveillance is extreme, and Sainsbury’s customers should not be subjected to identity checks to buy milk,” said Madeleine Stone, Senior Advocacy Officer at Big Brother Watch. “This sets a dangerous precedent not just for retail, but for everyday public life.”

The group also raised concerns about transparency and consent, arguing that biometric surveillance in shops blurs the line between policing and commerce. It warned that the use of facial recognition could result in misidentifications, discrimination, and the over-policing of vulnerable groups.

The Information Commissioner’s Office (ICO) has previously cautioned organisations using facial recognition to ensure legal compliance and necessity. It has not commented directly on the Sainsbury’s trial but is likely to monitor developments closely.

Facewatch’s Role in Expanding Everyday Surveillance

Sainsbury’s pilot sits within a broader shift where facial recognition is moving from niche deployments to visible use in everyday retail settings. Southern Co‑op has used Facewatch across dozens of branches since 2020, while independent convenience stores and some symbol groups have reported measurable reductions in repeat theft when using similar watchlist alerts. In one Morrisons Daily site, the store owner told trade press that incidents dropped by as much as ninety per cent after installation, though these results are self‑reported rather than independently audited.

Other Big Chains Are Already Testing the Waters

Other large grocers have been testing live facial recognition in recent months. For example, Asda ran a trial across five Greater Manchester stores, drawing thousands of complaints and sustained criticism from privacy groups, which shows how quickly public reaction can become a material factor in rollouts. Iceland has also been named by campaigners as exploring use, although details remain limited. These parallel efforts are relevant to Sainsbury’s because they indicate how public tolerance, operational benefits, and regulatory scrutiny interact in real retail environments.

Concerns About Accuracy and Misidentification

Concerns about accuracy and fairness remain central to the debate about the use of this kind of technology. For example, privacy group Big Brother Watch argues that commercial watchlists risk misidentifying innocent shoppers because entries are often created by retailers rather than police and can be shared between participating businesses. The group says this creates a risk of people being wrongly flagged and excluded. There have been reported misidentifications, including a case where a customer was barred after a Facewatch alert, which Facewatch later acknowledged was an error. These cases are shaping campaigners’ calls for stricter safeguards and clearer lines of accountability.

Legal Uncertainty Around Commercial Use

The policy landscape adds another layer. For example, the UK has no dedicated statute that comprehensively governs private sector facial recognition in public‑facing spaces, so retailers largely rely on data protection law, necessity and proportionality tests, and DPIAs to justify deployments. The ICO has previously investigated Facewatch and related deployments and, according to evidence submitted to Parliament, identified multiple areas where policies needed to better balance legitimate interests with people’s rights. This context frames what retailers must document and evidence when running pilots like Sainsbury’s.

How the Trial Is Being Measured

Operationally, Sainsbury’s says the Facewatch system is configured to alert staff only when a person on a pre‑defined watchlist is detected, focused on individuals linked to violence, aggression, or theft. Faces that do not match are deleted immediately, and signage at trial stores informs customers that facial recognition is in use. The supermarket has also stressed that the pilot is limited to locations with high levels of repeat offending, and that it is intended to support staff safety rather than to monitor ordinary shoppers.

Retail Crime Data Is Driving Urgency

Evaluation will centre on measurable changes in repeat theft and abuse, staff perceptions of safety, and any displacement effects, for example incidents shifting to nearby stores. The British Retail Consortium reports retail theft at crisis levels, with more than twenty million incidents in 2023 to 2024 and an estimated £2.2 billion lost to shoplifting, which explains why large chains are testing additional controls alongside guards, body‑worn cameras, and product protection. These sector‑wide figures provide the baseline against which any impact from facial recognition will be assessed.

Public Reaction Will Influence Industry Direction

It’s likely that public response will also form part of the assessment. Big Brother Watch has labelled the Sainsbury’s pilot “deeply disproportionate and chilling,” arguing that biometric scanning in supermarkets treats shoppers as suspects and risks normalising identity checks for everyday purchases. Trade unions have tended to frame the question through the lens of staff safety, calling for evidence‑led approaches that reduce violence and abuse at work. Therefore, how these competing views evolve during the pilot will influence whether other national chains follow Sainsbury’s lead.

Regulatory Input Could Shape What Comes Next

Also, any regulatory feedback could shape the design of future deployments. For example, if the ICO receives complaints during the trial, it may seek clarifications on data retention, watchlist criteria, redress routes for mistaken identity, and transparency notices. Previous facial recognition pilots in retail and other sectors have drawn attention to these governance questions, so documenting them clearly is likely to be as important as any headline reduction in theft.

What Does This Mean For Your Business?

The outcome of this trial will matter not only for Sainsbury’s but for any UK business operating in high-footfall environments where theft, abuse, or anti-social behaviour is on the rise. If facial recognition is shown to reduce repeat offending without undermining customer trust, other sectors may begin exploring similar systems, from retail and hospitality to logistics and healthcare. However, that will depend on clear governance, strong safeguards, and public confidence in how the technology is being used.

For technology providers, the stakes are also high. For example, Facewatch’s credibility as a supplier of compliant, proportionate, and accurate surveillance tools may hinge on how this pilot is received by regulators and rights groups. If the ICO intervenes or public backlash intensifies, it could limit how far these systems can expand. Businesses adopting facial recognition will need to be ready to justify every aspect of its deployment, from necessity and proportionality to data handling and redress.

For consumers and communities, the case raises fresh questions about what kind of monitoring is acceptable in everyday spaces, and where the boundaries lie between legitimate protection and excessive surveillance. The lack of specific legislation leaves a vacuum where privacy, ethics, and commercial interest are all pulling in different directions. Without clear national rules, it may fall to individual retailers, campaigners, and regulators to shape how far this goes.

As the pilot continues, attention will turn to how Sainsbury’s measures success and handles concerns. Whether this becomes a new layer of shopfloor security or a short-lived experiment will depend on what the results show, how they are interpreted, and whether wider industry and political appetite supports rolling it out further.

The post Featured Article : Sainsbury’s Facial Recognition Combats Shoplifting appeared first on Mear Technology.

A Trust Gap Is Emerging in the AI Race

The findings from cybersecurity firm Netskope point to a growing shift in how European businesses are evaluating generative AI tools. While platforms like ChatGPT and Gemini continue to gain traction, Grok’s higher rate of rejection suggests that organisations are becoming more selective and are prioritising transparency, reliability and alignment with company values over novelty or brand recognition.

What Is Grok?

Grok is a generative AI chatbot developed by Elon Musk’s company xAI and built into X, the social media platform formerly known as Twitter. Marketed as a bold, “truth-seeking” alternative to mainstream AI tools, Grok is designed to answer user prompts in real time with internet-connected responses. However, a series of controversial and misleading outputs (along with a lack of transparency about how it handles user data and trains its model) have made many organisations wary of its use.

Grok’s Risk Profile Raises Red Flags

While most generative AI tools are being rapidly adopted in European workplaces, Grok appears to be the exception. For example, Netskope’s latest threat report reveals that 25 per cent of European organisations have now blocked the app at network level. In contrast, only 9.8 per cent have blocked OpenAI’s ChatGPT, and just 9.2 per cent have done the same with Google Gemini.

Content Moderation Issue

Part of the issue appears to lie in Grok’s content moderation, or lack thereof. For example, the chatbot has made headlines for spreading inflammatory and false claims, including the promotion of a “white genocide” conspiracy theory in South Africa and casting doubt on key facts about the Holocaust. These incidents appear to have deeply shaken confidence in the platform’s ethical safeguards and prompted scrutiny around how the model handles prompts, training data and user inputs.

Companies More Selective About AI Tools

Gianpietro Cutolo, a cloud threat researcher at Netskope, said the bans on Grok highlight a growing awareness of the risks linked to generative AI. As he explained, organisations are starting to draw clearer lines between different platforms based on how they handle security and compliance. “They’re becoming more savvy that not all AI is equal when it comes to data security,” he said, noting that concerns around reputation, regulation and data protection are now shaping AI adoption decisions.

Privacy and Transparency

Neil Thacker, Netskope’s Global Privacy and Data Protection Officer, believes the trend is indicative of a broader shift in how European firms assess digital tools. “Businesses are becoming aware that not all apps are the same in the way they handle data privacy, ownership of data that is shared with the app, or in how much detail they reveal about the way they train the model with any data that is shared within prompts,” he said.

This appears to be particularly relevant in Europe, where GDPR sets strict requirements on how personal and sensitive data can be used. Grok’s relative lack of clarity over what it does with user input, especially in enterprise contexts, appears to have tipped the scales for many firms.

It also doesn’t help that Grok is closely tied to X, a platform currently under EU investigation for failing to tackle disinformation under the Digital Services Act. The crossover has raised uncomfortable questions about how data might be shared or leveraged across Musk’s various companies.

Not The Only One Blocked

Despite its controversial reputation, it seems that Grok is far from alone in being blocked. The most blacklisted generative AI app in Europe is Stable Diffusion, an image generator from UK-based Stability AI, which is blocked by 41 per cent of organisations due to privacy and licensing concerns.

However, Grok’s fall from grace stands out because of how stark the contrast is with its peers. ChatGPT, for instance, remains by far the most widely used generative AI chatbot in Europe. Netskope’s report found that 91 per cent of European firms now use some form of cloud-based GenAI tool in their operations, suggesting that the appetite for AI is strong, but users are choosing carefully.

The relative trust in OpenAI and Google reflects the degree to which those platforms have invested in transparency, compliance documentation, and enterprise safeguards. Features such as business-specific data privacy settings, clearer disclosures on training practices, and regulated API access have helped cement their position as ‘safe bets’ in regulated industries.

Musk’s Reputation

There’s also a reputational issue at play, i.e. Elon Musk has become a polarising figure in both tech and politics, particularly in Europe. For example, Tesla’s EU sales dropped by more than 50 per cent year-on-year last month, with some industry analysts attributing the decline to Musk’s increasingly vocal support of far-right politicians and his role in the Trump administration.

It seems that the backlash may now be spilling over into his other ventures. Grok’s public branding as an unfiltered “truth-seeking” AI has been praised by some users, but in a European context, it risks triggering compliance concerns around hate speech, misinformation, and AI safety.

‘DOGE’ Link

Also, a recent Reuters investigation found that Grok is being quietly promoted within the US federal government through Musk’s (somewhat unpopular) Department of Government Efficiency (DOGE), thereby raising concerns over potential conflicts of interest and handling of sensitive data.

What Are Businesses Doing Instead?

With Grok now off-limits in one in four European organisations, it appears that most companies are leaning into AI platforms with clearer data control options and dedicated enterprise tools. For example, ChatGPT Enterprise and Microsoft’s Copilot (powered by OpenAI’s models) are increasingly popular among large firms for their security features, audit trails, and compatibility with existing workplace platforms like Microsoft 365.

Meanwhile, companies with highly sensitive data are now exploring private GenAI solutions, such as running open-source models like Llama or Mistral on internal infrastructure, or through secured cloud environments provided by AWS, Azure or Google Cloud.

Others are looking at AI governance platforms to sit between employees and GenAI tools, offering monitoring, usage tracking and guardrails. Tools like DataRobot, Writer, or even Salesforce’s Einstein Copilot are positioning themselves not just as generative AI providers, but as risk-managed AI partners.

At the same time, it shows how quickly sentiment can shift. Musk’s original pitch for Grok as an edgy, tell-it-like-it-is alternative to Silicon Valley’s AI offerings found some traction among individual users. But in a business setting, particularly in Europe, compliance, reliability, and reputational alignment seem to matter more than iconoclasm.

Regulation Reshaping the Playing Field

The surge in bans against Grok also reflects a change in how generative AI is being governed and evaluated at the institutional level. Across Europe, regulators are moving to tighten rules on artificial intelligence, with the EU’s landmark AI Act expected to set a global precedent. This new framework categorises AI systems by risk level and could impose strict obligations on tools used in high-stakes environments like recruitment, finance, and public services.

That means tools like Grok, which are perceived to lack sufficient transparency or safety mechanisms, could face even greater scrutiny in the future. European firms are clearly starting to anticipate these regulatory pressures, and adjusting their AI strategies accordingly.

Grok’s Market Position May Be Out of Step

At the same time, the pattern of bans has implications for the competitive dynamics of the GenAI sector. For example, while OpenAI, Google and Microsoft have invested heavily in enterprise-ready versions of their chatbots, with controls for data retention, content filtering and auditability, Grok appears less geared towards business use. Its integration into a consumer social media platform and emphasis on uncensored responses make it an outlier in an increasingly risk-aware market.

Security and Deployment Strategies Are Evolving

There’s also a growing role for cloud providers and IT security teams in shaping how AI tools are deployed across organisations. Many companies are now turning to secure gateways, policy enforcement tools, or in some cases, completely air-gapped deployments of open-source models to ensure data stays within strict compliance boundaries. These developments suggest the AI market is maturing quickly, with an emphasis not only on innovation, but on operational control.

What Does This Mean For Your Businesses?

For UK businesses, the growing rejection of Grok highlights the importance of due diligence when selecting generative AI tools. With data privacy laws such as the UK GDPR still closely aligned with EU regulations, similar concerns around transparency, content reliability and compliance are just as relevant domestically. Organisations operating across borders, particularly those in regulated sectors like finance, healthcare or legal services, are likely to favour tools that not only perform well but also come with clear safeguards, documentation and support for enterprise-grade governance.

More broadly, the story of Grok is a reminder that in today’s AI landscape, branding and ambition are no longer enough. The success of generative AI tools increasingly depends on trust, i.e. trust in how data is handled, how outputs are generated, and how tools behave under pressure. For developers and vendors, that means security, transparency and adaptability must be built into the product from day one. For businesses, it means asking tougher questions before deploying any new tool into day-to-day operations.

While Elon Musk’s approach may continue to resonate with individual users who value unfiltered output or alignment with particular ideologies, enterprise buyers are clearly playing by a different rulebook. They’re looking for stability, accountability and risk management, not provocation. As regulation tightens, that divide is likely to widen.

The post Featured Article : Grok Blocked! Quarter Of EU Firms Ban Access appeared first on Mear Technology.

What Is Google I/O 2025?

Every May, Google brings developers, media, and industry insiders together at its annual I/O conference (short for “Input/Output” and “Innovation in the Open”). The 2025 edition took place on 14 May at the Shoreline Amphitheatre in Mountain View, California, next door to Google HQ.

As expected, the event was streamed globally, but this year’s show took a decisive turn. It wasn’t just a developer preview, but was a bold, all-in statement from Google that AI now underpins everything from search and productivity tools to healthcare and hardware.

This Year’s Big Themes? All Roads Lead to Gemini

If there was one consistent message at Google I/O 2025, it was that Gemini AI is no longer an add-on – it’s the engine behind Google’s future.

Whether it’s Gmail, Search, Chrome, Android or even smart glasses, it seems that Google now really wants every user interaction to be shaped, streamlined and supercharged by Gemini. That ambition was reflected in a dozen headline announcements at this year’s event, each revealing a different facet of that broader AI-first strategy.

1. Gemini 2.5 Pro and Gemini Flash (Two New AI Models)

Top of the bill were Gemini 2.5 Pro and Gemini 2.5 Flash. The Pro version boasts advanced reasoning, a new “Deep Think” mode for complex tasks, and even native audio output for conversational use. Meanwhile, Flash is designed for real-time responsiveness, which should make it ideal for fast interactions in mobile apps and dynamic websites.

Both models are already being rolled out across Google services and APIs, with Gemini 2.5 Pro now powering Google Workspace features and Gemini Flash helping developers create faster, leaner applications.

2. AI Mode Comes to Google Search (But With Ads)

Possibly the most controversial change is the arrival of AI Mode in Search. Users can now engage in dynamic conversations rather than typing one-off queries, with Gemini summarising results and suggesting follow-ups. However, it seems that the twist is that Google is inserting ads into these AI-powered replies.

That decision has (understandably) caused a few eyebrows to be raised, particularly among publishers and advertisers. That said, it could reshape how billions interact with the web, and how businesses compete for visibility.

3. Imagen 4 (An AI Image Generation Model)

Google also lifted the lid on Imagen 4, its latest text-to-image model. This version produces higher-resolution, more photo-realistic results with better handling of textures, shadows, and complex details like glass and water.

Imagen 4 is now available via the Gemini app and Google Workspace, making it easier to insert AI-generated visuals directly into Docs, Slides, or marketing content.

4. ‘Flow’ AI Powered Video Creation

Following OpenAI’s moves in generative video, Google unveiled ‘Flow’, a new AI-powered video editing and generation tool. It combines elements from Google’s existing Imagen, Veo, and Gemini models to help users design scenes, animate characters, and apply edits, all just by using natural language.

Although aimed at creators and marketing teams, Google says Flow could also appeal to educators and internal communications professionals. A limited beta will roll out later in 2025.

5. ‘Beam’ – The New Name for Project Starline

It seems that what began as an R&D curiosity in 2021 is finally nearing market release. ‘Beam’ is Google’s rebranded 3D teleconferencing platform, designed to offer life-size, high-fidelity video calls using advanced AI rendering and custom hardware.

Expected to launch in late 2025, Beam will first be trialled with enterprise customers via Google Meet integrations. It’s pitched as a serious upgrade to remote working, though pricing and hardware requirements remain unclear.

6. Stitch – Designing Apps With AI

‘Stitch’ is a new AI assistant that helps developers and designers rapidly mock up app interfaces. It uses Gemini to recommend UI layouts, generate components, and even fill in dummy content. This could prove especially useful for prototyping, hackathons, or client pitches.

Stitch is now available in preview via Firebase Studio, with integration into Android Studio expected soon.

7. SynthID Detector For Spotting AI-Generated Content

To address growing concerns about AI-generated misinformation, Google introduced SynthID Detector. It’s a verification tool that checks whether images, audio, video (or even text) carry watermarks embedded by Google’s AI models.

This builds on Google DeepMind’s original SynthID system and reflects broader industry moves towards watermarking and provenance standards. The tool will be freely available to researchers and select enterprise partners later this year.

8. Google’s Multimodal AI Assistant ‘Project Astra’

Another show-stealer was Project Astra, a real-time AI assistant that combines video, voice, and text to interpret what you’re doing and respond accordingly.

It may be best to think of it as Gemini’s next evolution, capable of recognising a user’s environment through their phone’s camera, answering questions about what it sees, and even predicting the user’s next action. Still experimental, but expected to underpin future Android features and wearables.

9. MedGemma and AMIE (AI in Healthcare)

Google’s AI push now extends firmly into healthcare. With this in mind, it unveiled two tools:

– MedGemma, a model trained on both medical images and text, capable of assisting in diagnosis and triage.

– AMIE (AI Medical Interview Engine), which can conduct diagnostic conversations and interpret patient visuals.

While not ready for deployment just yet, both are being trialled with healthcare providers and researchers.

10. Gemini in Chrome For Context-Aware Web Assistance

Gemini is also coming to Google Chrome, where it can provide context-aware summaries, explanations and suggestions as the user browses. This turns the browser into an interactive assistant that understands what a user’s doing in real time (similar to Microsoft’s Copilot in Edge).

A developer preview is rolling out now, with broader availability expected by late summer.

11. Android XR and Smart Glasses

In partnership with Samsung and Qualcomm, Google announced Android XR, a new platform for extended reality experiences. As part of this push, the company confirmed it is developing new AI-powered smart glasses, with real-time translation and contextual information overlays.

This marks Google’s first serious return to the wearables / smart glasses market since the early Google Glass days, and could be pivotal as Apple, Meta, and others ramp up their own wearable platforms.

12. Android Auto Gets Smarter

Rounding off this list are several updates to Android Auto, including:

– Spotify Jam integration.

– Support for video apps and web browsers (while parked).

– A new Light Mode interface for better visibility.

This reinforces Google’s push into connected vehicles, an increasingly strategic domain as competition with Apple and Amazon heats up.

What Does This Say About Google in 2025?

This year’s I/O wasn’t just a showcase of new toys, but appeared to be a full declaration of intent. Google seems to be betting that AI will redefine every user interaction, and it’s restructuring its entire product ecosystem around Gemini to make that happen.

From an enterprise perspective, the implications are huge. For example, tools like Flow, Stitch, and Imagen 4 offer businesses faster ways to produce content, design interfaces, and automate creative work. Also, Beam and AI Mode signal new frontiers for remote working and customer engagement.

However, some questions remain. For example, the insertion of ads into AI-powered search has already sparked criticism from publishers who fear revenue losses. Privacy advocates are also watching closely, especially with the expansion of camera-based assistants like Astra and wearable tech.

That said, for most users (especially businesses) the message from Google appears to be ‘prepare for a more AI-shaped Google’. Also, if you’re not already using Gemini in some form, the chances are you soon will be.

What Does This Mean For Your Business?

Taken together, these dozen announcements from Google I/O 2025 seem to show Google repositioning itself as an AI-first company in both name and nature. If so, this isn’t just a cosmetic rebrand or a handful of feature upgrades. It’s a fundamental reimagining of the company’s product line, embedding AI deeply into every experience, every device, and every service it touches.

For UK businesses, tools like Imagen 4, Stitch, Flow, and Gemini for Chrome could help streamline marketing, design and customer engagement tasks, hopefully offering significant productivity gains for companies of all sizes. Early adopters may well find they can reduce content creation time, speed up product development, and respond more intelligently to customer needs. However, the introduction of ads into AI-powered search results could force marketers to rethink their SEO strategies and advertising budgets, particularly as Google’s search experience becomes more curated and conversational.

More broadly, the announcements reflect Google’s intent to compete hard on multiple fronts, i.e. not just with OpenAI in text and image generation, but with Apple and Meta in wearables, Microsoft in productivity AI, and Amazon in the smart car and assistant space. The development of smart glasses and extended reality platforms suggests Google is ready to push its ecosystem beyond screens and keyboards, potentially reshaping how users, consumers, and workers interact with digital content altogether.

That said, the road ahead may not be entirely smooth. There are already valid concerns about the transparency of AI-generated results, the risks of bias or hallucination, and the implications of AI-driven advertising. Tools like SynthID and Project Astra offer a glimpse of how Google might manage those risks, but for regulators, publishers, privacy groups and end users, trust will need to be earned, not just declared.

Still, the scale and coherence of Google’s announcements at I/O 2025 suggest a company that has moved past experimentation and into execution. For anyone building, marketing, communicating or working online, especially in fast-moving sectors, this year’s developments appear to be a clear sign that the tools, workflows and digital environments we all rely on may soon be fundamentally reshaped by AI, whether we’re ready or not.

The post Featured Article : Google I/O 2025 – The Best Bits appeared first on Mear Technology.

A Grounded Reality Check

A comprehensive study by economists Anders Humlum (University of Chicago) and Emilie Vestergaard (University of Copenhagen) has found that the economic impact of generative AI chatbots on workers has been negligible. Their paper, Large Language Models, Small Labor Market Effects, analysed data from over 25,000 workers across 7,000 Danish workplaces between 2023 and 2024, focused on 11 occupations considered highly susceptible to AI disruption, including software developers, journalists, legal professionals, and teachers.

No Significant Impact

According to findings published in the paper, despite widespread adoption, most firms encouraged chatbot use, 38 per cent deployed in-house models, and 30 per cent of employees received AI training. Crucially, the study found no significant changes in earnings or working hours across any occupation. The researchers, therefore, concluded that “AI chatbots have had no significant impact on earnings or recorded hours in any occupation.”

Just Modest Productivity Gains

It seems that while users reported modest productivity gains, averaging time savings of 2.8 per cent to 5.4 per cent of their weekly hours, these did not translate into reduced workloads. In fact, AI adoption led to new tasks for 8.4 per cent of workers, such as supervising AI outputs or adapting workflows to accommodate the technology.

Other Research Supporting The Findings

Other recent research has also reached similar conclusions. For example, a separate analysis by Barclays, led by economist Mark Cus Babic, examined AI exposure across various occupations and industries in the U.S. and Europe. The study found that less than 10 per cent of core job tasks could be better performed by AI. Interestingly, occupations most exposed to AI were not always at risk of being replaced. For example, while roles like proofreaders and typists are more susceptible to automation, professions requiring significant interpersonal skills, such as translators, are less replaceable.

Contrary to fears of widespread job losses, therefore, the Barclays analysis found that AI exposure correlated with employment growth, not reduction.

However, this study also noted that AI exposure was linked to slower wage growth, with rising AI exposure reducing annualised wage growth by up to 0.74 percentage points.

Contrasting Findings

While these studies suggest a limited immediate impact of generative AI on jobs and wages, other recent research presents a more nuanced picture. For example:

– A 2024 PwC report found that sectors with high AI penetration experienced nearly fivefold greater labour productivity growth compared to less exposed sectors. In the UK, job postings requiring AI skills were growing significantly faster, with employers offering a 14 per cent wage premium, particularly in legal and IT roles. The findings were based on global employment and productivity data tracked by PwC’s Economic Outlook research team.

– A 2023 study by researchers from the University of Oxford and the University of Copenhagen, analysing online labour market data from platforms like Upwork and Freelancer, observed a decline in demand for text-related and programming-related jobs following the introduction of ChatGPT. However, the remaining jobs in these submarkets became more complex, and competition among freelancers increased, suggesting a shift in the nature rather than the volume of work.

– Joint research published in 2023 by the International Labour Organisation and the World Bank indicated that generative AI could potentially automate between 2 per cent and 5 per cent of jobs across Latin America and the Caribbean. The study warned that women and younger workers in formal employment sectors were likely to be disproportionately affected, especially in roles involving routine cognitive tasks.

The Implications

In terms of the implications of the most recent University of Copenhagen research, the minimal immediate impact on jobs and wages may prompt AI developers to reassess their value propositions. It seems that while the technology holds promise for enhancing productivity, the anticipated economic benefits have yet to materialise at scale.

Also, based on these findings, companies investing in AI may want to temper expectations regarding short-term labour cost savings. Instead, the focus could shift towards leveraging AI for incremental efficiency gains and exploring new business models that integrate AI capabilities.

In terms of what this could mean for governments and policymakers, the findings appear to suggest that fears of an imminent AI-induced employment crisis may be overstated. However, the potential for AI to reshape job tasks and create new roles underscores the need for policies that support workforce adaptability, such as reskilling initiatives and education reforms.

As for workers, while it seems (according to this study) that AI has not yet led to significant job displacement, its integration into the workplace is undoubtedly altering job responsibilities. This could mean that workers may need to adapt by acquiring new skills and embracing lifelong learning to remain competitive in an evolving job market.

Perception vs Reality?

One of the more striking contrasts emerging from this research is the growing gulf between how AI is perceived and how it’s actually performing in economic terms. It seems that public debate has largely centred around the threat of mass job displacement, with headlines warning of “white-collar extinction events” and sweeping automation of knowledge work. Yet the data so far simply doesn’t back that up.

For example, a 2024 Ipsos MORI survey found that 61 per cent of UK workers believe AI will significantly reduce job availability within the next decade. However, this fear appears to be driven more by speculation and media narratives than current evidence. Researchers like Humlum and Vestergaard stress that even in sectors with widespread chatbot adoption, measurable labour impacts have been “remarkably muted”.

This mismatch between expectations and evidence could have real consequences, potentially fuelling anxiety, political pressure, or misaligned policy responses. It also raises a challenge for AI companies and advocates, i.e. how to communicate realistic use cases and limitations without losing investor interest or public trust.

What Does This Mean For Your Business?

What this research ultimately seems to reveal is a still-unfolding story, and one that is far less dramatic than the early hype may have suggested. While it’s true that generative AI is being widely adopted across white-collar industries, it looks as though the impact on wages and jobs appears, for now, to be largely neutral. That’s not to say AI isn’t changing the workplace (far from it). However, the kind of sweeping disruption that many predicted simply hasn’t (yet) arrived.

For UK businesses, this latest research provides a valuable window of clarity. It means that rather than expecting AI to deliver immediate cost savings through workforce reductions, firms may find more tangible returns in using chatbots to refine workflows, support staff with repetitive tasks, and free up time for more valuable work. In practical terms, that means revisiting where AI fits in the broader business model, not as a silver bullet for efficiency, but as a support tool, and one that still needs oversight, training, and adaptation to work effectively.

For governments, the findings highlight the importance of measured, evidence-based policymaking. While it’s right to prepare for potential shifts in the labour market, it seems there’s currently no need for panic. The real focus might be better placed on supporting agility within the workforce, e.g. through investment in digital skills, better access to lifelong learning, and guidance for employers on effective technology adoption.

Meanwhile, for AI developers, the study is a reminder that user adoption doesn’t always equal economic impact. The technology may be advancing rapidly, but converting that into broad-based value remains a work in progress. As such, the next wave of innovation may need to focus less on scaling up infrastructure, and more on proving real-world outcomes, especially for sectors still unsure how to integrate these tools meaningfully.

In short, this research invites recalibration and puts things a little more in perspective. Generative AI is here, it’s being used, and it’s shaping how work gets done, yet its impact (at least for now) appears to be evolutionary rather than revolutionary. The real question may no longer be whether AI will replace jobs, but whether we’re ready to redesign the way we work alongside it.

The post Featured Article : AI Isn’t Slashing Jobs or Wages (Yet) appeared first on Mear Technology.

OpenAI’s Interest Made Clear During Antitrust Testimony

Speaking during a landmark antitrust trial in Washington DC, OpenAI’s Head of Product for ChatGPT, Nick Turley, confirmed that the AI company would “absolutely” consider buying Chrome should it become available.

“Yes, we would, as would many other parties,” Turley testified. He added that integrating ChatGPT directly into Chrome could create “a really incredible experience,” giving users a glimpse into an “AI-first experience” for web browsing.

Turley’s comments came during a three-week remedies phase of the US Department of Justice (DOJ) lawsuit against Google, where the focus has shifted from proving wrongdoing to deciding what structural changes might be needed to restore competition.

The Google Antitrust Trial

Google’s troubles with US regulators are nothing new, but the current trial represents one of the most serious challenges to the company’s dominance. In 2023, a federal judge ruled that Google maintained an illegal monopoly over online search. For example, proposed remedies include:

– Forcing Google to divest its Chrome browser.

– Preventing Google from paying companies (e.g. Apple, Samsung) to make Google their default search.

– Forcing Google to share its search index with rivals.

Chrome has become a central focus because of its overwhelming influence on how users access the internet. For example, according to Similarweb, Chrome commands around 64 per cent of the global browser market. Microsoft’s Edge trails far behind at 13.35 per cent, while Apple’s Safari holds 21 per cent of the market.

Therefore, if the court orders Google to spin off Chrome, it would clearly be one of the most significant regulatory interventions in tech history, and it now seems as though OpenAI is positioning itself as a major contender to scoop it up.

Why OpenAI Wants Chrome

At its core, OpenAI’s interest in Chrome is likely to be about reach. Despite the soaring popularity of ChatGPT, distributing AI services directly to users has been a major hurdle. As Brian Jackson, Principal Research Director at Info-Tech Research Group (quoted in Fortune) puts it: “Control of a browser is control of the primary access point to the web,” and that “Owning Chrome would instantly give OpenAI a massive footprint and new opportunities to harvest browser interaction data.”

Currently, ChatGPT Search exists as a Chrome extension, with around three million users according to the Chrome Web Store. However, deeper integration could significantly enhance both the functionality and the adoption rate of OpenAI’s tools.

Turley also highlighted that access to web browsing is crucial to OpenAI’s ambitions to build a “super assistant” , i.e. an AI capable of helping users with real-time, accurate information across daily tasks.

However, it seems that OpenAI has faced stiff barriers to wider distribution. Although it successfully partnered with Apple to integrate ChatGPT into iPhones, it has struggled on Android, where Google’s influence is stronger. For example, since January, Google has paid Samsung to make its own Gemini AI model the default on Samsung devices, leaving little room for rivals.

“Our powerful competitors control the access points,” Turley said, warning that without new avenues, OpenAI’s growth could be limited.

What Would It Mean If OpenAI Bought Chrome?

For OpenAI, the benefits of getting Chrome are clear, i.e. it’s an instant gateway to billions of users, deeper integration of AI into everyday browsing, and access to a treasure trove of real-time user interaction data.

For users, however, the picture may be more complicated. For example, OpenAI already holds vast amounts of data through ChatGPT interactions. If it owned a browser, it could potentially access even more detailed information about user behaviour, searches, and preferences. This raises new privacy concerns. As Professor Anjana Susarla, an expert in Information Systems at Michigan State University, says: “The idea of an AI company having access to your browsing history should make everyone think carefully about data protection.”

There would also be a significant shift in the competitive landscape. Today, Google dominates not just search but also browser-based advertising. OpenAI’s takeover of Chrome could fragment the market, creating new opportunities for Microsoft (with Bing and Edge), Apple (with Safari), and rising AI-powered search engines like Perplexity AI.

What Does Google Say?

Unsurprisingly, Google is not keen on the idea! In a statement, Lee-Anne Mulholland, Google’s Head of Regulatory Affairs, said that the government’s proposals would “hurt America’s consumers, economy, and technological leadership.”

Google has also made clear that it has no intention of selling Chrome voluntarily. The company plans to appeal the earlier rulings that declared it a search and advertising monopolist.

Challenges and Criticisms of an OpenAI Chrome Acquisition

While the prospect is tantalising for OpenAI, it would not be without major challenges. For example:

– Antitrust regulators would almost certainly scrutinise any deal that allowed OpenAI (itself heavily backed by Microsoft) to control a major internet gateway. Microsoft’s existing links to OpenAI through its Azure cloud deals and investments could raise concerns about a new type of market consolidation.

– The backlash over data privacy could be fierce. Businesses, particularly those reliant on sensitive web applications, would likely be cautious about trusting a browser tied to an AI company whose models constantly learn from user interactions.

– Maintaining a browser the size and complexity of Chrome is no small feat. Ensuring security updates, standards compliance, and feature innovation at the scale Chrome users expect would stretch OpenAI’s capabilities far beyond its current experience.

What Does This Mean For Your Business?

The possibility of OpenAI acquiring Chrome, while still hypothetical, marks a pivotal moment for the future of internet browsing, AI development, and competitive dynamics across the tech sector. Should Alphabet be forced to part with its prized browser, it could fundamentally alter how billions of users experience the web, and who holds influence over that journey.

For OpenAI, the opportunity to directly control such a vast user base would accelerate its ambitions to integrate AI into everyday life. Yet the potential for wider concerns around privacy, regulatory scrutiny, and concentration of power would be equally profound. An AI company, especially one with OpenAI’s scale and reach, controlling both a major browser and a large language model platform would invite fresh questions over how personal data is used, secured, and monetised.

From a business perspective (especially for UK firms) any shift in browser ownership could have far-reaching implications. Chrome remains the default environment for a significant proportion of business applications, marketing strategies, and customer engagement channels. A transition to an OpenAI-owned Chrome could introduce new integrations, potentially making AI-powered tools more accessible, but it could also mean greater complexity around data governance and compliance requirements, particularly under UK GDPR standards. Firms may need to review their digital strategies more closely if browser platforms start embedding AI deeper into the browsing experience.

Meanwhile, for Google, the threat of losing Chrome would weaken its dominance not only in search but also in digital advertising and browser-driven innovation. Rivals like Microsoft, Apple, and emerging AI-first players could find new openings to grow their own ecosystems, leading to a more fragmented, but potentially more dynamic marketplace. Other stakeholders, from consumers to regulators, would need to weigh up the benefits of greater competition against the risks of concentrating browsing and AI capabilities in fewer hands.

Whether OpenAI’s interest in Chrome becomes reality or not, the mere fact it is seriously being discussed shows how the battle lines in tech are rapidly redrawing. Search, browsing, and AI are no longer separate arenas but are becoming a single, contested frontier. How that frontier is shaped (and who wins control over it) will have lasting consequences for users, businesses, and the broader digital economy alike.

The post Featured Article : OpenAI Wants To Buy Chrome appeared first on Mear Technology.

Why Tariffs Are Turning Up the Heat

The Trump administration’s new trade measures from the US have targeted core European exports, e.g. cars, steel, aluminium and more, with talk of extending the approach to cover digital services and data regulations. While no direct levies on cloud usage have been announced (yet), the message appears to be that under President Trump, American dominance in critical digital sectors is no longer just a commercial issue but is also a geopolitical weapon.

This perceived risk now appears to be prompting businesses to rethink their infrastructure strategies. Concerns range from the financial (rising service costs from US firms) to the strategic (fear of service disruption or forced data access under US jurisdiction). At the heart of it all is a growing sense that depending on American hyperscalers (i.e. Amazon Web Services ‘AWS’, Microsoft Azure and Google Cloud) may no longer be a neutral or sustainable position.

A Market Still Dominated by the US

Currently, around 70 per cent of Europe’s cloud market is controlled by these three US-based companies. Although that dominance has long been cause for concern in Brussels, the shift in mood post-tariffs has been more dramatic than many expected.

As Benjamin Revcolevschi, CEO of OVHcloud, says: “We’re seeing a fundamental change,” and that “strategic autonomy is now firmly on the agenda for private companies and public institutions alike.”

OVHcloud, a French firm with 43 data centres across four continents, has reported a noticeable uptick in business since the tariffs hit the headlines. The trend is echoed across Europe, with other providers such as Germany’s IONOS, France’s Scaleway, Finland’s UpCloud, and Switzerland’s Exoscale all reporting increased interest from clients looking for alternatives to the American giants.

What European Cloud Providers Are Offering Instead

While European cloud firms can’t yet match the global scale or sprawling services of the US hyperscalers, it seems that they do offer something that’s become highly prized in today’s climate, i.e. control.

For example, European providers guarantee compliance with EU data protection laws like the GDPR, operate entirely under European jurisdiction, and are generally more transparent about data processing and localisation. For many businesses, that kind of reassurance looks like it’s starting to outweigh the convenience of sticking with US incumbents.

For instance, OVHcloud and Scaleway have both leaned into these advantages, offering not only infrastructure-as-a-service (IaaS) but also managed AI platforms, sovereign cloud certifications, and high-performance compute tailored for sensitive industries. As Alexander Samsig of Norwegian consultancy Funktive says, “In 2025, the choice of cloud provider isn’t just about technology or price,” adding that “it’s about values, sovereignty, and risk management.”

This shift in priorities now appears to have put Europe’s smaller providers in a strong position, especially as concerns grow around data access, espionage, and potential US-imposed restrictions on cloud operations.

Security, Compliance and Strategic Risk

Recent high-profile warnings from European governments, including the use of burner phones during US visits by EU officials, have stoked fears that American surveillance or legal overreach could place European corporate data at risk. The EU’s long-standing discomfort with the US CLOUD Act, which allows American authorities to access data stored abroad by US companies, has only added to the pressure.

It seems that these risks are no longer hypothetical. For example, several European IT consultancies and cloud migration firms report that client questions have evolved rapidly from technical performance to compliance guarantees and jurisdictional clarity.

“What we’re hearing from clients now is: where is our data held, who can access it, and what legal systems apply?” said Jonathan Bryce of the Open Infrastructure Foundation. “That’s a different kind of conversation—and a far more strategic one.”

Policy and Investment

Politicians are responding too. For example, France’s AI minister, Clara Chappaz, has called for stricter enforcement of European digital regulations and more ambitious public support for homegrown providers. She’s also taken aim at “sovereignty washing”, i.e. where US tech firms partner with EU companies in appearance only to skirt rules around ownership and control.

To tackle this, France has now introduced the SecNumCloud standard, which bars any cloud provider from certification if it is majority-owned by a non-European parent. The idea behind it is simply that digital sovereignty means local ownership, not just local servers.

That growing political support now appears to be translating into real investment. For example, French telecoms group Iliad recently pledged €3 billion for its AI and cloud infrastructure through subsidiary OpCore. The European Commission is also reviewing public procurement rules to ensure a “European preference” for cloud services in sensitive sectors like healthcare, defence, and AI.

Realistic Challenges Ahead

However, it’s likely that the road to this kind of sovereignty won’t be easy. Analysts estimate that building a fully autonomous European tech stack (encompassing cloud, AI, semiconductors, and connectivity) could cost up to €300 billion by 2035. In fact, some US-based think tanks even put the figure closer to €5 trillion, thereby highlighting the scale of the ambition.

There’s also the technical challenge of migration to consider, i.e. switching away from a US hyperscaler is rarely a quick job. Transitions of this kind can take months or years, particularly for large enterprises with legacy systems deeply integrated into AWS or Azure ecosystems.

That said, for some firms, urgency is forcing the issue, i.e. organisations that feel directly threatened by Trump’s policies may now be looking for immediate solutions, and with every new tariff or combative press conference from the Trump administration, the trickle of interest threatens to become more like a flood.

Knock-On Effects Across the Tech Sector

Cloud isn’t the only area affected. For example, the tariffs have brought fresh attention to Europe’s dependence on US-dominated sectors like fintech, AI, and semiconductors. EU central bankers and tech ministers have renewed calls for sovereign digital payment systems and European alternatives to platforms like Visa, Mastercard, and PayPal.

The regulatory environment is also shifting. Laws like the Digital Markets Act (DMA) and Digital Services Act (DSA) are pushing US Big Tech to play fairer in Europe and, in some cases, to rethink how they operate within the bloc entirely.

This matters for cloud too, as platforms that previously felt invincible are now facing scrutiny not just for competition concerns but for how they align (or fail to align) with Europe’s legal and ethical standards.

What This Means for Business Leaders

For UK and European business leaders, all of this seems to indicate that this is a decisive moment. Cloud services can no longer be treated as neutral utilities, they’re now seen as potential sources of risk or leverage in an increasingly divided world. The takeaway is that it may be time to diversify, not necessarily by abandoning US providers overnight, but by ensuring contingency plans are in place, reviewing data locality and control, and evaluating EU-based providers not just on cost, but on strategic value.

As Mark Boost of UK cloud provider Civo put it: “A sovereign European cloud could foster an ecosystem defined by fairness and transparency, where customers can choose freely—and safely.”

The tech world may not have changed overnight but it seems, thanks to Trump’s tariffs, Europe’s digital awakening just got a powerful new push.

What Does This Mean For Your Business?

For now, the big three US cloud providers still dominate Europe’s digital infrastructure but it feels like the balance of power may be starting to shift. What began as a trade dispute over steel and cars is now exposing deeper vulnerabilities in Europe’s technological foundations, and sparking long-overdue conversations about control, security, and resilience.

European cloud providers, while still dwarfed in size, are now gaining some traction by offering something their American rivals can’t, i.e. jurisdictional certainty, local accountability, and alignment with EU values. These things now appear to have more value than ever in an era where international politics can affect whether a company’s data stays accessible, or its digital operations stay online.

Although change now seems to be afoot, it won’t happen overnight. This is because moving away from hyperscalers is complex and costly. That said, the trajectory is becoming clearer. With rising public investment, tighter regulatory frameworks, and real business demand, Europe may now be starting to sketch out an alternative vision for its digital future, one less dependent on any single foreign power.

In the UK, firms operating in regulated sectors (or with sensitive client data) may now need to reassess their risk exposure and future-proof their cloud strategies. Diversifying providers, strengthening data governance, and exploring EU-based platforms could all become part of a more resilient digital toolkit. For IT leaders, procurement teams, and strategic planners, the question may no longer be if this matters, but how quickly they can adapt.

Also, for policymakers, investors, and the wider tech ecosystem, Trump’s tariffs may have done what years of white papers could not, which is to force Europe to confront its overreliance on foreign tech infrastructure and start building a competitive, sovereign alternative. If that momentum holds, it may not just reshape the cloud market but could also redefine the digital landscape across Europe.

The post Featured Article : Tariff Fears : Trump Tariffs Boost Demand for European Cloud Providers appeared first on Mear Technology.

Update

However, in a recent update (changing daily it seems!) the Trump administration has exempted smartphones and computers from the recently imposed tariffs, including the 10 per cent global tariff and the 125 per cent tariff on China. This exemption also extends to other electronics like memory cards, solar cells, and semiconductors.

iPhone Sales Surge as Tariff Panic Takes Hold

Just a short time after President Donald Trump announced sweeping new tariffs on Chinese imports, it seems Apple stores across the US have been reporting a noticeable spike in iPhone upgrades. The catalyst has been the concern that the cost of new devices could soon rise sharply if Apple’s supply chain takes a direct hit.

For example, retail staff in several major cities have reported that shoppers appear to be acting pre-emptively, prompted by growing speculation that this latest wave of tariffs could disrupt pricing sooner than expected.

Warning

Although Apple hasn’t announced any official price changes, analysts have warned that production costs for devices like the iPhone 16 Pro could jump by over $250 if Chinese-made components are hit with the full weight of Trump’s tariff package. For buyers, the risk isn’t just higher prices, but it’s also the possibility of deals and trade-in incentives vanishing overnight.

As Dan Ives, Managing Director at Wedbush Securities points out: “If Apple passes on the full tariff burden, we’re looking at iPhones retailing for over $2,000,” adding “That kind of pricing would be a major shock to the system—especially in the US market.”

What’s Actually Happening With The Tariffs?

At the time of writing this article (11.04.25), President Donald Trump announced a sweeping set of tariffs targeting Chinese-made goods as part of what he’s dubbed an economic “Liberation Day.” Under this new regime, levies on certain imports have reportedly surged to a cumulative 145 per cent, with electronics, including smartphones, firmly in the firing line.

For Apple, the timing couldn’t be worse. For example, around 90 per cent of iPhones are still assembled in China, and the prospect of such sharp increases in import costs has sent alarm bells ringing. Analysts now estimate that tariffs alone could push the production cost of a high-end iPhone 16 Pro Max from $1,199 to over $2,100 if passed on to consumers. Also, if Apple were ever forced to shift final assembly to the US, the price could skyrocket to as much as $3,500 per device, an outcome most observers still see as unrealistic but not entirely off the table.

While Trump has pointed to Apple’s $500 billion investment pledge as proof that iPhone manufacturing could be repatriated, the fine print appears to tell a different story. For example, most of that spending is expected to go toward R&D and AI infrastructure, not assembly lines. As things stand, it’s been reported that Apple’s short-term solution was to ramp up production in India and fly devices to the US by charter jet! That sounds like an expensive (and not very environmentally friendly) workaround, but one that avoids the full impact of the China tariffs for now.

Behind the scenes, Apple is also said to be lobbying for an exemption, similar to the one it secured during Trump’s first administration. However, with no guarantee of success and political rhetoric heating up, the company may have little choice but to start factoring the cost of tariffs into its consumer pricing, if not now, then very soon.

Why It’s Hitting Apple So Hard

Quite simply, no other tech company is as exposed to this tariff storm as Apple. The iPhone accounts for roughly half of the firm’s total revenue, and its China-based supply chain (centred around Foxconn’s vast factories) has long been central to its global dominance.

That exposure has seriously spooked investors. For example, Apple’s shares fell 19 per cent over just three days last week, marking the worst such dip for the company in nearly 25 years! The combination of supply chain vulnerability, investor nervousness and potential consumer backlash has sent shockwaves through both Silicon Valley and Wall Street.

What’s Apple Doing About It?

Apple hasn’t made any official comment on the situation at this point, but sources close to the company suggest it is already taking steps to reduce its reliance on Chinese manufacturing, most notably by perhaps ramping up production in India.

In fact, the Wall Street Journal recently reported that Apple plans to redirect a significant share of its India-assembled iPhones to the US market as a short-term fix. Although India faces a 26 per cent tariff under Trump’s new policy, that’s still roughly half that imposed on Chinese goods, thereby making it seem to be a more viable alternative.

Building In India

Thankfully for Apple, it has been building up its Indian manufacturing base since 2017, initially focusing on older models and gradually moving towards assembling newer ones like the iPhone 15 and 16. In fact, Bank of America estimates Apple could make around 25 million iPhones in India this year, enough to supply about 50 per cent of US demand if redirected accordingly!

That said, even the India solution looks like it may have its limits. For example, Vietnam, another key site for Apple products like AirPods and Apple Watches, was slapped with an eye-watering 46 per cent tariff under the new plan. Also, moving large-scale production out of China entirely remains logistically (and financially) daunting.

The situation has led some analysts to joke that if consumers want a $3,500 iPhone, they may as well be made in the US, e.g. New Jersey or Texas.

What This Means for Apple’s Business Model

The tariff crisis presents Apple with a tough choice, i.e. absorb the extra costs and watch its profit margins shrink, or pass them on to consumers and risk a backlash.

Analysts say even a 30 per cent increase in iPhone prices could dent demand significantly, especially in mature markets where upgrades are already slowing. For Apple, which prides itself on premium pricing and tight margins, the threat to its bottom line is very real.

Also, there’s the question of investor confidence. The recent stock slide may only be the beginning if fears grow that Apple can’t adapt its supply chain fast enough to avoid future trade tensions. While the company has pledged to invest $500 billion in US manufacturing over the next four years, analysts remain sceptical about how much of that will directly impact iPhone production.

As Neil Shah, Vice President of Research at Counterpoint says: “There’s no easy way out,” and “Even moving 10 per cent of Apple’s supply chain out of China could take years and cost tens of billions. This is going to test Apple’s entire global strategy.”

What About Business Customers and Competitors?

For Apple’s business clients, ranging from SMEs to global enterprises, rising device costs could become a major headache. Many companies operate under bulk hardware contracts, and an across-the-board rise in iPhone prices could hit IT budgets hard. Many business owners also fear losing some of the attractive offers and deals they’ve been used to in better times.

Meanwhile, Apple’s competitors are watching closely. For example, Samsung and Google, both of which produce more of their hardware outside of China, may find themselves in a stronger position if Apple is forced to hike prices. Devices that were once considered too costly or too niche may suddenly look more attractive to price-sensitive consumers and businesses alike.

Even if Apple manages to dodge the worst of the tariff fallout, the current frenzy may have already exposed a key vulnerability in its strategy, i.e. an over-reliance on a region now sitting at the centre of a deepening geopolitical divide. The next few months could redefine where and how Apple makes its most iconic product, and at what price.

What Does This Mean For Your Business?

Whether or not iPhone prices spike in the coming weeks, the sudden rush to upgrade tells us one thing i.e., consumer and investor confidence in global supply chains is far more fragile than it once seemed. For Apple, this tariff-driven panic has highlighted just how exposed it remains to international political swings, despite years of effort to diversify its manufacturing base.

For now, Apple’s (reported) strategy of flying in India-made iPhones to dodge China-focused tariffs might offer a temporary cushion. However, the scale and speed of Trump’s latest trade measures suggest that piecemeal solutions may no longer be enough. If production costs continue to rise, Apple may have little choice but to rethink both where it builds its devices and how it prices them, especially in core markets like the US, where consumer resistance to steep price hikes could quickly translate into lost sales.

For UK businesses, particularly those that issue iPhones through corporate mobile contracts or manage large device fleets, any upward shift in pricing could, of course, create budgetary pressure. Procurement cycles may, therefore, need to shorten, upgrade plans may be re-evaluated, and conversations around alternative suppliers could gain ground. With the whole tariff situation, supply chain disruption and global pricing volatility inevitably spill over, especially when the product in question is as globally embedded as the iPhone.

Meanwhile, rivals like Samsung and Google may be able to gain a little ground, though not without their own challenges. Samsung, for example, relies heavily on production in Vietnam, which has also been hit with a 46 per cent tariff under Trump’s new plan. Even so, with a more diversified supply chain and broader pricing range, these competitors may still appeal to businesses and consumers looking for more flexible or less exposed alternatives.

Apple, for all its brand loyalty, is facing a moment of reckoning, not just on pricing, but on the sustainability and resilience of its entire business model. What began as a tariff story may, therefore, trigger a much deeper shift in the balance of power across the global tech landscape.

The post Featured Article : Tariff Fears : Apple Upgrade Rush appeared first on Mear Technology.

The Future at Your Front Door?

The initiative, launched in partnership with US robotics firm Boston Dynamics, is testing the use of autonomous robotic dogs to support last-mile delivery operations in real residential environments.

Spot

The robot (named “Spot”) is already well-known in the tech world for its advanced mobility and has previously been used in industries ranging from construction to defence. However, it’s been reconfigured in this case to tackle the ever-growing demands of urban parcel delivery. With this unusual trial, Evri has become the first UK parcel company to experiment with robotic dog deliveries, thereby showing how the “last mile” of logistics might look in years to come, and getting some positive headlines and visibility for Evri in the process.

Why Now and Why Barnsley?

The trial is one of the ways, among ongoing pressures in the delivery industry, to find more sustainable, efficient and scalable solutions, especially for the all-important last-mile stretch that gets parcels from a depot to a customer’s door. This final leg is often the most complex and costly part of the delivery chain, with challenges including traffic congestion, failed deliveries, limited parking, and high labour demands.

The trial also follows Evri’s 50th anniversary celebrations last year, which included a retrospective look at how delivery and consumer habits have changed over the past five decades. As part of the campaign, Evri surveyed the public on what they thought the future of delivery might look like. Interestingly, only 16 per cent of respondents believed robots would eventually be delivering their parcels, yet for some customers in Barnsley, that prediction is already becoming a reality.

According to Evri, the move is part of a broader strategy to future-proof its operations through smart, scalable automation. Speaking about the initiative, Marcus Hunter, Chief Technology Officer at Evri, said: “We’re constantly looking for ways to innovate, and the trial with Spot is one of several projects focused on testing new technologies that could support our couriers and enhance service levels. It’s about being ready for the future—not replacing people, but giving them new tools.”

Barnsley was selected for the pilot due to its mixed urban and residential layout, making it an ideal testing ground for the robot’s capabilities. It also aligns with Barnsley Council’s ambitions to position the town as a testbed for innovation and emerging tech.

Councillor Robin Franklin, Cabinet Spokesperson for Regeneration and Culture, said: “This trial puts Barnsley on the map when it comes to cutting-edge innovation. We’re proud to support projects that explore how technology can improve everyday life for our residents while supporting green and inclusive growth.”

What the Robot Dog Can Do

Spot is the brainchild of Boston Dynamics, the Massachusetts-based robotics company renowned for its eerily lifelike machines. Weighing just under 30kg and powered by AI and a host of onboard sensors, Spot can:

– Navigate streets and pavements autonomously.

– Climb stairs and kerbs.

– Avoid obstacles and safely interact with its environment.

– Carry up to 14kg of payload, including parcel lockers.

– Operate in all weathers and uneven terrain.

Parcels Secure

For the Evri trial, Spot has been fitted with a secure, camera-enabled delivery compartment. Once it reaches a property, the robot identifies the correct address, sends a delivery notification to the recipient, and waits while the customer unlocks the compartment via a mobile app or pin code.

A Hybrid Approach – A Robot Plus A Human Driver

Crucially, Spot can also “walk back” to its mobile hub, i.e. the parked delivery van or designated base station, before heading off to complete the next delivery. The hope is that this hybrid approach, combining autonomous robots with human drivers, could significantly cut the time and cost associated with short-distance drop-offs.

Why Robot Dogs?

It may sound gimmicky, but there are serious logistics challenges that robots like Spot aim to address. These include helping to address issues like:

– Labour shortages. The parcel sector has long struggled with staff shortages, especially in peak seasons. Robots could ease the pressure by handling short-range, repetitive tasks.

– Urban congestion. Smaller, legged robots can reach places that vans can’t, especially in pedestrian zones, gated communities or narrow terraced streets.

– Sustainability goals. Electric-powered robots generate no direct emissions and could help reduce reliance on diesel vans, particularly for “final 500-metre” delivery loops.

Emissions Cut

Also, according to Evri’s internal modelling, robotic solutions like Spot could cut last-mile emissions by up to 30 per cent if scaled properly. While that’s still speculative, it does show the potential for meaningful change, especially as local councils and clients demand greener operations.

How Does The Robot Delivery Actually Work?

During the pilot phase, Spot is operating alongside human drivers in Barnsley on select delivery rounds. The deliveries are carried out in the following way:

– The driver drops off Spot in a target area : A courier in a van arrives at a designated spot and releases Spot to begin deliveries within a defined radius.

– Autonomous navigation begins : Spot identifies its route using GPS and LIDAR systems, with backup human monitoring from a mobile control centre.

– The parcel drop-off : The robot approaches each address, sends a notification to the recipient, and waits until the parcel compartment is unlocked and retrieved.

– Returns and charges : Once all deliveries are complete, Spot returns to the van for charging and reloading.

All movements are monitored remotely in real-time, with fail-safes in place if something goes wrong. For now, the robots are accompanied by human operators during public testing, mainly to collect data and respond to any incidents.

Public Reaction

Predictably, the robot has certainly turned heads. Locals have been snapping photos and posting videos of Spot trotting down pavements with packages on board, drawing everything from excitement to scepticism. Some residents have reportedly praised the trial for its innovation and eco-potential.

Others, however, have expressed concern about safety, privacy and job security. Social media threads have raised questions about how the robot avoids pets, children, or even potential theft attempts. Evri has responded by highlighting Spot’s multiple sensors, 360-degree vision and secure delivery process. They’ve also reiterated that robots are intended to assist and not to replace human workers.

Reality Check

It seems that not everyone is on board with the robot revolution just yet. For example, industry analysts point to several limitations that could slow rollout of this kind of delivery service. For example:

– The high cost. Spot reportedly costs around £60,000 per unit, making widespread adoption a pricey prospect for now.

– Public infrastructure challenges. UK streets are not always robot-friendly, with uneven pavements, steep kerbs and cluttered environments.

– Accessibility. Older residents or those without smartphones may struggle with app-based delivery systems.

– The UK weather and vandalism. While Spot is designed to handle rain and stairs, freezing temperatures and tampering could pose risks.

There’s also a broader question about whether this technology is solving a real problem, or creating one? For example, some critics argue that delivery robots are a distraction from improving pay, training and conditions for human couriers, especially when the technology is still in its infancy.

That said, Evri insists this is just a trial and not a full-scale rollout. As Marcus Hunter, Chief Technology Officer at Evri says: “We’re testing, learning and listening,” and that “Technology should be part of the solution, not the whole answer.”

What Does This Mean For Your Business?

While robot dog deliveries may still sound futuristic (plus the robot may look a bit intimidating to some), Evri’s trial may actually mark a more serious exploration of how UK logistics could evolve in the years ahead. With growing demand for faster, greener deliveries and ongoing pressure on urban infrastructure, innovations like Spot may no longer be just eye-catching experiments, but part of a broader rethink of how goods reach our doorsteps.

Crucially, as Evri is keen to point out, this is not about replacing drivers but is a hybrid approach, i.e. the robot is intended to work alongside human couriers, acting as a high-tech extension of the delivery network rather than a standalone solution. By handling short-distance or hard-to-access drop-offs, tools like Spot could help relieve pressure on drivers while improving efficiency at the most complex stage of the journey – the last mile.

Although it may seem like a novelty, many UK businesses are likely to be watching the trial closely. For example, more responsive, low-emission delivery methods could offer a competitive edge for retailers, particularly as customer expectations rise and sustainability commitments tighten. However, being realistic, practical hurdles, from system costs to infrastructure limitations and consumer adoption, will need to be tackled before robots like this can become part of everyday delivery operations.

The trial also reflects a growing appetite among local authorities to embrace emerging technologies. Towns like Barnsley are positioning themselves as testbeds for innovation, hoping to attract investment and future-proof their local economies. For communities, this opens the door to a more direct role in how technology is introduced and regulated on their streets.

In the end, Evri’s robot dog pilot may not be simply about PR or novelty, but a live test of what the future of parcel delivery could look like. Whether it leads to full-scale adoption or simply provides insights to shape future automation strategies, it’s a clear indication that the UK delivery sector is preparing for a more adaptable, tech-enabled future.

The post Featured Article : Robot Dog Parcel Delivery Trialled appeared first on Mear Technology.