Digital business models

Landmark tech deal secures record UK-US AI and energy investment

The UK and US have signed a landmark Tech Prosperity Deal, securing a £250 billion investment package across technology and energy sectors. The agreement includes major commitments from leading AI companies to expand data centres, supercomputing capacity, and create 15,000 jobs in Britain.

Energy security forms a core part of the deal, with plans for 12 advanced nuclear reactors in northeast England. These facilities are expected to generate power for millions of homes and businesses, lower bills, and strengthen bilateral energy resilience.

The package includes $30 billion from Microsoft and $6.8 billion from Google, alongside other AI investments aimed at boosting UK research. It also funds the country’s largest supercomputer project with Nscale, establishing a foundation for AI leadership in Europe.

American firms have pledged £150 billion for UK projects, while British companies will invest heavily in the US. Pharmaceutical giant GSK has committed nearly $30 billion to American operations, underlining the cross-Atlantic nature of the partnership.

The Tech Prosperity Deal follows a recent UK-US trade agreement that removes tariffs on steel and aluminium and opens markets for key exports. The new accord builds on that momentum, tying economic growth to innovation, deregulation, and frontier technologies.

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Lenovo unveils AI Super Agents for next-generation automation

Lenovo is pushing into the next phase of AI with the launch of its AI Super Agents, designed to move beyond reactive systems and perform complex, multi-step tasks autonomously.

The company describes the technology as a cognitive operating system capable of orchestrating multiple specialised agents to deliver results across devices and enterprise systems.

The AI Super Agent extends agentic AI to complete tasks like managing supply chains, booking services, and developing applications. Lenovo’s model combines perception, cognition, and autonomy, letting agents understand intent, make decisions, and adapt in real time.

According to Lenovo, the innovation will serve both individuals and businesses by streamlining workflows, scaling operations, and enhancing decision-making. The company stressed responsible AI, following international standards on ethics, transparency, and data protection.

AI Super Agents will be showcased at Lenovo’s Tech World event in Las Vegas in January 2026. They represent the next step in hybrid AI, combining on-device and enterprise-scale intelligence to enhance productivity and creativity.

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UK regulator seeks feedback on crypto rules

The Financial Conduct Authority (FCA) has launched a consultation on proposed minimum standards for crypto firms, reflecting rules already applied to traditional financial services. The proposals cover areas such as operational resilience and measures to combat financial crime.

Regulators intend the framework to be proportionate, supporting UK competitiveness in global markets. The FCA is also examining how its Consumer Duty should apply to crypto, ensuring firms act to deliver good outcomes for clients.

Views are being sought on complaint-handling, including whether cases should be referred to the Financial Ombudsman Service.

David Geale, executive director of payments and digital finance, said the FCA aims to build a sustainable and competitive crypto sector by balancing innovation with trust and market integrity. He noted the standards would not eliminate investment risks but would give consumers clearer expectations.

The consultation follows draft legislation published by HM Treasury in April 2025. Responses on the discussion paper are due by 15 October 2025, with feedback on the consultation paper closing on 12 November 2025. Final rules are expected in 2026.

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OpenAI explains approach to privacy, freedom, and teen safety

OpenAI has outlined how it balances privacy, freedom, and teen safety in its AI tools. The company said AI conversations often involve personal information and deserve protection like privileged talks with doctors or lawyers.

Security features are being developed to keep data private, though critical risks such as threats to life or societal-scale harm may trigger human review.

The company is also focused on user freedom. Adults are allowed greater flexibility in interacting with AI, within safety boundaries. For instance, the model can engage in creative or sensitive content requests, while avoiding guidance that could cause real-world harm.

OpenAI aims to treat adults as adults, providing broader freedoms as long as safety is maintained. Teen safety is prioritised over privacy and freedom. Users under 18 are identified via an age-prediction system or, in some cases, verified by ID.

The AI will avoid flirtatious talk or discussions of self-harm, and in cases of imminent risk, parents or authorities may be contacted. Parental controls and age-specific rules are being developed to protect minors while ensuring safe use of the platform.

OpenAI acknowledged that these principles sometimes conflict and not everyone will agree with the approach. The company stressed transparency in its decision-making and said it consulted experts to establish policies that balance safety, freedom, and privacy.

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Australian ASIC grants stablecoin relief to boost innovation

The Australian Securities and Investments Commission (ASIC) has introduced class relief for intermediaries involved in the secondary distribution of stablecoins issued by licensed providers. The measure aims to encourage responsible growth in the digital assets and payments sectors.

Under the relief, intermediaries do not need to hold separate Australian financial services (AFS), market, or clearing licences when offering services linked to stablecoins issued by an AFS licensee. However, they must provide clients with the product disclosure statement, if one is available.

ASIC has indicated that as more issuers of eligible stablecoins obtain an AFS licence, the exemption could extend further. The regulator stressed its support for innovation while safeguarding consumers by requiring stablecoins to remain under licensing rules.

The move follows ASIC’s consultation on updates to its guidance for digital assets, which included stablecoins and other token types. ASIC will soon release revised guidance and is working with Treasury on digital asset reforms, including a payment stablecoin framework.

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Intel to design custom CPUs as part of NVIDIA AI partnership

The two US tech firms, NVIDIA and Intel, have announced a major partnership to develop multiple generations of AI infrastructure and personal computing products.

They say that the collaboration will merge NVIDIA’s leadership in accelerated computing with Intel’s expertise in CPUs and advanced manufacturing.

For data centres, Intel will design custom x86 CPUs for NVIDIA, which will be integrated into the company’s AI platforms to power hyperscale and enterprise workloads.

In personal computing, Intel will create x86 system-on-chips that incorporate NVIDIA RTX GPU chiplets, aimed at delivering high-performance PCs for a wide range of consumers.

As part of the deal, NVIDIA will invest $5 billion in Intel common stock at $23.28 per share, pending regulatory approvals.

NVIDIA’s CEO Jensen Huang described the collaboration as a ‘fusion of two world-class platforms’ that will accelerate computing innovation, while Intel CEO Lip-Bu Tan said the partnership builds on decades of x86 innovation and will unlock breakthroughs across industries.

The move underscores how AI is reshaping both infrastructure and personal computing. By combining architectures and ecosystems instead of pursuing separate paths, Intel and NVIDIA are positioning themselves to shape the next era of computing at a global scale.

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Russia pays first salary in digital rubles

Russia has made its first salary payment in digital rubles, marking a milestone in the country’s adoption of its central bank digital currency (CBDC). The Ministry of Finance confirmed the payment with the Central Bank of Russia will be available to government employees on request.

The first payment went to Anatoly Aksakov, State Duma finance committee chair and key figure in digital currency legislation. Aksakov spent the digital rubles on charity and daily purchases, including a restaurant, testing its practical use.

The digital ruble is scheduled for a phased public launch on 1 September 2026. Trials have already included government transfers, commercial transactions, and payments in transport and real estate, signalling a gradual integration into the wider economy.

Officials plan to allow transactions between digital ruble accounts starting 1 January 2026, while payments will remain optional for recipients.

Russia’s CBDC development began in 2021, with legislation adopted in 2023. The initiative aims to modernise financial operations, increase efficiency in federal payments, and provide an alternative to traditional cash.

The rollout is being monitored closely as a test case for wider adoption of state-backed digital currencies.

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Character.AI and Google face suits over child safety claims

Three lawsuits have been filed in US federal courts alleging that Character.AI and its founders, with Google’s backing, deployed predatory chatbots that harmed children. The cases involve the family of 13-year-old Juliana Peralta, who died by suicide in 2023, and two other minors.

The complaints say the chatbots were designed to mimic humans, build dependency, and expose children to sexual content. Using emojis, typos, and pop-culture personas, the bots allegedly gained trust and encouraged isolation from family and friends.

Juliana’s parents say she engaged in explicit chats, disclosed suicidal thoughts, and received no intervention before her death. Nina, 15, from New York, attempted suicide after her mother blocked the app, while a Colorado, US girl known as T.S. was also affected.

Character.AI and Google are accused of misrepresenting the app as child-safe and failing to act on warning signs. The cases follow earlier lawsuits from the Social Media Victims Law Center over similar claims that the platform encouraged harm.

SMVLC founder Matthew Bergman stated that the cases underscore the urgent need for accountability in AI design and stronger safeguards to protect children. The legal team is seeking damages and stricter safety standards for chatbot platforms marketed to minors.

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Researchers for OpenAI and Apollo find scheming behaviour in frontier AI models

OpenAI and Apollo Research developed evaluations to reveal hidden misalignment in advanced AI systems, often labelled scheming, and observed scheming-like behaviour in several frontier models, including OpenAI o3, o4-mini, Gemini 2.5 pro and Claude Opus-4.

Researchers treated covert actions, such as deliberately withholding or distorting task-relevant information, as a measurable proxy and stress-tested models across dozens of scenarios.

Scheming occurs when a model outwardly appears aligned while pursuing an alternate goal. The teams used a trader analogy to explain the risk: a rule-breaking broker who covers tracks can seem more compliant than an honest operator who accepts lower gains.

They trained models with deliberative alignment to counter the behaviour, asking them to read and reason about an anti-scheming specification before acting. Hence, models follow safety principles instead of merely avoiding detection.

That training produced about a thirtyfold reduction in covert actions on out-of-distribution tests, with o3 falling from 13 percent to 0.4 percent and o4-mini dropping from 8.7 percent to 0.3 percent.

Nevertheless, rare but serious failures remained, and measurement proved complex. Models often became more aware of being evaluated, and situational awareness can suppress observable scheming without altering underlying aims.

The study relied heavily on access to the models’ chain of thought to probe motivations, so preserving reasoning transparency is crucial for reliable oversight. The teams warned that training practices eroding transparency could make monitoring far harder and let misalignment hide rather than vanish.

OpenAI and Apollo called for broader cross-lab safety evaluations, stronger monitoring tools and continued research into anti-scheming techniques. They renewed their partnership, launched a $500,000 red-teaming challenge focused on scheming and proposed shared testing protocols.

The researchers emphasised there is no evidence that today’s deployed AI models would abruptly begin harmful scheming. Still, the risk will grow as systems take on more ambiguous, long-term, real-world responsibilities instead of short, narrow tasks.

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Google adds AI features to Chrome browser on Android and desktop

Alphabet’s Google has announced new AI-powered features for its Chrome browser that aim to make web browsing more proactive instead of reactive. The update centres on integrating Gemini, Google’s AI assistant, into Chrome to provide contextual support across tabs and tasks.

The AI assistant will help students and professionals manage large numbers of open tabs by summarising articles, answering questions, and recalling previously visited pages. It will also connect with Google services such as Docs and Calendar, offering smoother workflows on desktop and mobile devices.

Chrome’s address bar, the omnibox, is being upgraded with AI Mode. Users can ask multi-part questions and receive context-aware suggestions relevant to the page they are viewing. Initially available in the US, the feature will roll out to other regions and languages soon.

Beyond productivity, Google is also applying AI to security and convenience. Chrome now blocks billions of spam notifications daily, fills in login details, and warns users about malicious apps.

Future updates are expected to bring agentic capabilities, enabling Chrome to carry out complex tasks such as ordering groceries with minimal user input.

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