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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CARU found that some videos on the MrBeast YouTube channel included undisclosed advertising in descriptions and pinned comments, which could mislead young viewers.
It also raised concerns about a promotional taste test for Feastables chocolate bars, which appeared to children as a valid comparison despite lacking a scientific basis.
Investigators said Feastables sweepstakes failed to clearly disclose free entry options, minimum age requirements and the actual odds of winning. Promotions were also criticised for encouraging excessive purchases and applying sales pressure, such as countdown timers urging children to buy more chocolate.
Privacy issues were also identified, with Feastables collecting personal data from under-13s without parental consent. CARU noted the absence of an effective age gate and highlighted that information provided via popups was sent to third parties.
MrBeast and Feastables said many of the practices under review had already been revised or discontinued, but pledged to take CARU’s recommendations into account in future campaigns.
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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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Nissan has announced plans to launch its next-generation ProPILOT system in fiscal year 2027. The upgraded system will include Nissan Ground Truth Perception, next-generation Lidar, and Wayve AI Driver, enhancing collision avoidance and autonomous driving.
Wayve AI Driver software is built on an embodied AI foundation model that enables human-like decision-making in complex real-world driving conditions. By efficiently learning from large volumes of data, the system continuously enhances Nissan vehicles’ performance and safety.
Wayve, a global AI company, specialises in embodied AI for driving. Its foundation model leverages extensive real-world experience to deliver reliable point-to-point navigation across urban and highway environments, while adapting quickly to new scenarios and platforms.
The partnership positions Nissan at the forefront of autonomous vehicle technology, combining cutting-edge sensors, AI, and adaptive software to redefine safety and efficiency in future mobility.
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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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Fiji, renowned for its pristine beaches and coral reefs, may lose its appeal for cryptocurrency investors after authorities reaffirmed a ban on virtual asset service providers. The National Anti-Money Laundering Council cited financial stability and national security concerns in maintaining the restriction.
The Reserve Bank of Fiji has prohibited crypto exchanges, transfers, and custody services, while residents are barred from purchasing cryptocurrency using local funds. The move reinforces the country’s strict stance on digital assets and limits crypto activity within its borders.
Across Oceania, regulatory approaches vary widely. Vanuatu and Nauru now licence crypto companies, while the Marshall Islands launched its own digital currency in 2018. In contrast, Papua New Guinea and Samoa still lack formal crypto regulations.
Australia and New Zealand, the region’s largest economies, are steadily developing comprehensive frameworks to govern digital assets, signalling a more structured approach to cryptocurrency regulation in Oceania.
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The University of Oxford will become the first UK university to offer free ChatGPT Edu access to all staff and students. The rollout follows a year-long pilot with 750 academics, researchers, and professional services staff across the University and Colleges.
ChatGPT Edu, powered by OpenAI’s GPT-5 model, is designed for education with enterprise-grade security and data privacy. Oxford says it will support research, teaching, and operations while encouraging safe, responsible use through robust governance, training, and guidance.
Staff and students will receive access to in-person and online training, webinars, and specialised guidance on the use of generative AI. A dedicated AI Competency Centre and network of AI Ambassadors will support users, alongside mandatory security training.
The prestigious UK university has also established a Digital Governance Unit and an AI Governance Group to oversee the adoption of emerging technologies. Pilots are underway to digitise the Bodleian Libraries and explore how AI can improve access to historical collections worldwide.
A jointly funded research programme with the Oxford Martin School and OpenAI will study the societal impact of AI adoption. The project is part of OpenAI’s NextGenAI consortium, which brings together 15 global research institutions to accelerate breakthroughs in AI.
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Researchers have introduced a new AI-driven method that could help solve long-standing mathematical problems in fluid dynamics, physics, and engineering. The study examines unstable singularities, where equations fail and predict impossible results like infinite pressure or velocity.
Using Physics-Informed Neural Networks, the team discovered new unstable singularities across three fluid equations, including the Navier–Stokes system. Their findings reveal emerging patterns that could point to even more elusive solutions, advancing understanding of fluid motion.
The method combines deep mathematical knowledge with machine learning techniques, enabling precision at levels previously unattainable. For example, researchers reduced computational errors to a scale comparable with measuring the Earth’s diameter within just a few centimetres.
Such accuracy is essential for building reliable computer-assisted proofs in mathematics.
The study, carried out with mathematicians and geophysicists from leading universities, signals a shift in mathematical research. By embedding physics directly into neural networks, the approach transforms AI into a discovery tool that may reshape how complex equations are tackled in the years ahead.
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The US Treasury has issued an Advance Notice of Proposed Rulemaking (ANPRM) to gather public input on implementing the Guiding and Establishing National Innovation for US Stablecoins (GENIUS) Act. The consultation marks an early step in shaping rules around digital assets.
The GENIUS Act instructs the Treasury to draft rules that foster stablecoin innovation while protecting consumers, preserving stability, and reducing financial crime risks. The Treasury aims to balance technological progress with safeguards for the wider economic system by opening this process.
Through the ANPRM, the public is encouraged to submit comments, data, and perspectives that may guide the design of the regulatory framework. Although no new rules have been set yet, the consultation allows stakeholders to shape future stablecoin policies.
The initiative follows an earlier request for comment on methods to detect illicit activity involving digital assets, which remains open until 17 October 2025. Submissions in response to the ANPRM must be filed within 30 days of its publication in the Federal Register.
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Te Whatu Ora (the healthcare system of New Zealand) has appointed Sonny Taite as acting director of innovation and AI and launched a new programme called HealthX.
An initiative that aims to deliver one AI-driven healthcare project each month from September 2025 until February 2026, based on ideas from frontline staff instead of new concepts.
Speaking at the TUANZ and DHA Tech Users Summit in Auckland, New Zealand, Taite explained that HealthX will focus on three pressing challenges: workforce shortages, inequitable access to care, and clinical inefficiencies.
He emphasised the importance of validating ideas, securing funding, and ensuring successful pilots scale nationally.
The programme has already tested an AI-powered medical scribe in the Hawke’s Bay emergency department, with early results showing a significant reduction in administrative workload.
Taite is also exploring solutions for specialist shortages, particularly in dermatology, where some regions lack public services, forcing patients to travel or seek private care.
A core cross-functional team, a clinical expert group, and frontline champions such as chief medical officers will drive HealthX.
Taite underlined that building on existing cybersecurity and AI infrastructure at Te Whatu Ora, which already processes billions of security signals monthly, provides a strong foundation for scaling innovation across the health system.
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