OpenAI and NVIDIA have announced a strategic partnership to build at least 10 gigawatts of AI data centres powered by millions of NVIDIA GPUs.
A deal, supported by the investment of up to $100 billion from NVIDIA, that aims to provide the infrastructure for OpenAI’s next generation of models, with the first phase scheduled for late 2026 on the NVIDIA Vera Rubin platform.
The companies said the collaboration will enable the development of AGI and accelerate AI adoption worldwide. OpenAI will treat NVIDIA as its preferred strategic compute and networking partner, coordinating both sides’ hardware and software roadmaps.
They will also continue working with Microsoft, Oracle, SoftBank and other partners to build advanced AI infrastructure.
OpenAI has grown to more than 700 million weekly users across businesses and developers globally. Executives at both firms described the new partnership as the next leap in AI computing power, one intended to fuel innovation at scale instead of incremental improvements.
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A new Pew Research Center survey shows Americans are more worried than excited about AI shaping daily life. Half of adults say AI’s rise will harm creative thinking and meaningful relationships, while only small shares see improvements.
Many want greater control over its use, even as most are willing to let it assist with routine tasks.
The survey of over 5,000 US adults found 57% consider AI’s societal risks to be high, with just a quarter rating the benefits as significant. Most respondents also doubt their ability to recognise AI-generated content, although three-quarters believe being able to tell human from machine output is essential.
Americans remain sceptical about AI in personal spheres such as religion and matchmaking, instead preferring its application in heavy data tasks like weather forecasting, fraud detection and medical research.
Younger adults are more aware of AI than older generations, yet they are also more likely to believe it will undermine creativity and human connections.
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Amazon is meeting world leaders at the 80th UN General Assembly to share its vision for responsible AI and global internet access. The company highlighted Project Kuiper’s satellite initiative to provide affordable internet to underserved communities and bridge the digital divide.
The initiative aims to deliver fast, affordable internet to communities without access, boosting education and economic opportunities. Connectivity is presented as essential for participation in the modern economy, as well as for cultural and knowledge exchange across the globe.
Amazon emphasised the development of AI tools that are responsible, inclusive, and designed to enhance human potential. The company aims to make technology accessible, helping small businesses, speeding research, and offering tools once reserved for large organisations.
Collaboration remains central to Amazon’s approach. The company plans to work with governments, the UN, civil society, and other private sector partners to ensure technological advancements benefit humanity while mitigating potential risks.
Discussions at UNGA80 are expected to shape future strategies for innovation, governance, and sustainable development.
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Jaguar Land Rover (JLR) has confirmed its factories will remain closed until at least 1 October, extending a shutdown triggered by a cyber-attack in late August.
Business Secretary Peter Kyle and Industry Minister Chris McDonald are meeting JLR and its suppliers, as fears mount that small firms in the supply chain could collapse without the support of the August cyberattack.
The disruption, estimated to cost JLR £50m per week, affects UK plants in Solihull, Halewood and Wolverhampton. About 30,000 people work directly for JLR, with a further 100,000 in its supply chain.
Unions say some supplier staff have been laid off with little or no pay, forcing them to seek Universal Credit. Unite has called for a furlough-style scheme, while MPs have pressed the government to consider emergency loans.
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The European Commission is collaborating with the EU capitals to narrow the list of proposals for large AI training hubs, known as AI Gigafactories. The €20 billion plan will be funded by the Commission (17%), the EU countries (17%), and industry (66%) to boost computing capacity for European developers.
The first call drew 76 proposals from 16 countries, far exceeding the initially planned four or five facilities. Most submissions must be merged or dropped, with Poland already seeking a joint bid with the Baltic states as talks continue.
Some EU members will inevitably lose out, with Ursula von der Leyen, the President of the European Commission, hinting that priority could be given to countries already hosting AI Factories. That could benefit Finland, whose Lumi supercomputer is part of a Nokia-led bid to scale up into a Gigafactory.
The plan has raised concerns that Europe’s efforts come too late, as US tech giants invest heavily in larger AI hubs. Still, Brussels hopes its initiative will allow EU developers to compete globally while maintaining control over critical AI infrastructure.
A formal call for proposals is expected by the end of the year, once the legal framework is finalised. Selection criteria and funding conditions will be set to launch construction as early as 2026.
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South Korea has secured a significant partnership with BlackRock to accelerate its ambition of becoming Asia’s leading AI hub. The agreement will see the global asset manager join the Ministry of Science and ICT in developing hyperscale AI data centres.
A deal that followed a meeting between President Lee Jae Myung and BlackRock chair Larry Fink, who pledged to attract large-scale international investment into the country’s AI infrastructure.
Although no figures were disclosed, the partnership is expected to focus on meeting rising demand from domestic users and the wider Asia-Pacific region, with renewable energy powering the facilities.
The move comes as Seoul increases national funding for AI, semiconductors and other strategic technologies to KRW150 trillion ($107.7 billion). South Korean companies are also stepping up efforts, with SK Telecom announcing plans to raise AI investment to a third of its revenue over five years.
BlackRock’s involvement signals international confidence in South Korea’s long-term vision to position itself as a regional AI powerhouse and secure a leadership role in next-generation digital infrastructure.
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Misconfigurations in cloud systems and enterprise networks remain one of the most persistent and damaging causes of data breaches worldwide.
Recent incidents have highlighted the scale of the issue, including a cloud breach at the US Department of Homeland Security, where sensitive intelligence data was inadvertently exposed to thousands of unauthorised users.
Experts say such lapses are often more about people and processes than technology. Complex workflows, rapid deployment cycles and poor oversight allow errors to spread across entire systems. Misconfigured servers, storage buckets or access permissions then become easy entry points for attackers.
Analysts argue that preventing these mistakes requires better governance, training and process discipline rather. Building strong safeguards and ensuring staff have the knowledge to configure systems securely are critical to closing one of the most exploited doors in cybersecurity.
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AI headlines often flip between hype and fear, but the truth is more nuanced. Much research is misrepresented, with task overlaps miscast as job losses. Leaders and workers need clear guidance on using AI effectively.
Microsoft Research mapped 200,000 Copilot conversations to work tasks, but headlines warned of job risks. The study showed overlap, not replacement. Context, judgment, and interpretation remain human strengths, meaning AI supports rather than replaces roles.
Other research is similarly skewed. METR found that AI slowed developers by 19%, but mostly due to the learning curves associated with first use. MIT’s ‘GenAI Divide’ measured adoption, not ability, showing workflow gaps rather than technology failure.
Better studies reveal the collaborative power of AI. Harvard’s ‘Cybernetic Teammate’ experiment demonstrated that individuals using AI performed as well as full teams without it. AI bridged technical and commercial silos, boosting engagement and improving the quality of solutions produced.
The future of AI at work will be shaped by thoughtful trials, not headlines. By treating AI as a teammate, organisations can refine workflows, strengthen collaboration, and turn AI’s potential into long-term competitive advantage.
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VodafoneThree has signed multibillion-pound investment deals with Ericsson and Nokia to accelerate the rollout of what it calls the UK’s best mobile network. The move marks the latest milestone in the newly merged operator’s £11 billion plan.
The partnerships will deliver one of Europe’s largest privately funded infrastructure builds, modernising existing 4G and 5G networks while preparing the country for nationwide 5G Standalone. Four British site-build companies will also support construction across the UK.
VodafoneThree estimates the investment could boost the UK economy by up to £102 billion between 2025 and 2035. Up to 13,000 jobs are expected to be created in engineering and construction, with most based outside London and the South East.
The company says nearly three-quarters of the population will have access to its fastest 5G speeds in the first year, rising to 90% by year three. By 2034, 99.95% of the population is forecast to be covered by 5G Standalone, creating what VodafoneThree describes as the UK’s first nationwide AI-ready network.
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Global AI spending is projected to reach $1.5 trillion in 2025 and exceed $2 trillion in 2026, yet a critical element is missing: human judgement. A growing number of organisations are turning to behavioural science to bridge this gap, coding it directly into AI systems to create what experts call behavioural AI.
Early adopters like Clarity AI utilise behavioural AI to flag ESG controversies before they impact earnings. Morgan Stanley uses machine learning and satellite data to monitor environmental risks, while Google Maps influences driver behaviour, preventing over one million tonnes of CO₂ annually.
Behavioural AI is being used to predict how leaders and societies act under uncertainty. These insights guide corporate strategy, PR campaigns, and decision-making. Mind Friend combines a network of 500 mental health experts with AI to build a ‘behavioural infrastructure’ that enhances judgement.
The behaviour analytics market was valued at $1.1 billion in 2024 and is projected to grow to $10.8 billion by 2032. Major players, such as IBM and Adobe, are entering the field, while Davos and other global forums debate how behavioural frameworks should shape investment and policy decisions.
As AI scrutiny grows, ethical safeguards are critical. Companies that embed governance, fairness, and privacy protections into their behavioural AI are earning trust. In a $2 trillion market, winners will be those who pair algorithms with a deep understanding of human behaviour.
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