The European Commission President, Ursula von der Leyen, delivered her 2025 State of the Union address to the European Parliament in Strasbourg. The speech set out priorities for the coming year and was framed by growing geopolitical tensions and the push for a more self-reliant Europe.
Von der Leyen highlighted that global dynamics have shifted.
‘Battlelines for a new world order based on power are being drawn right now, ’ she said.
In this context, Europe must take a more assertive role in defending its own security and advancing the technologies that will underpin its economic future. The President characterised this moment as a turning point for European independence.
Digital policy appeared less prominently than expected in the address. Von der Leyen often referred to ‘technology sovereignty’ to encompass not only digital technologies, but also other types of technologies necessary for the green transition and to achieve energetic autonomy. In spite of that, some specific references to digital policy are worth highlighting.
Europe’s right to regulate. Von der Leyen defended Europe’s right to set its own standards and regulations. The assertion came right after her defence of the US-EU trade deal, making it a direct response to the mounting pressure and tariff threats from the US President Donald Trump’s administration.
Regulatory simplification. A specific regulatory package (omnibus) on digital was promised, under inspiration from the Draghi report on EU competitiveness.
Investment in digital technology. Startups in key areas, such as quantum and AI, could receive particular attention, in order to enhance the availability of European capital and strengthen European sovereignty in these areas. According to her, the Commission ‘will partner with private investors on a multi-billion euro Scaleup Europe Fund’. No concrete figures were provided, however.
Artificial intelligence as key to European independence. In order to support this sector, von der Leyen highlighted the importance of some initiatives, such as the Cloud and AI Development Act, and the European AI Gigafactories. She praised the commitment of CEOs from some leading European companies to invest in digital in the recently launched AI and Tech Declaration.
Mainstreaming information integrity. According to von der Leyen, Europe’s democracy is under attack, with the rise of information manipulation and disinformation. She proposed to create a new European Centre for Democratic Resilience, which will bring together all the expertise and capacity across member states and neighbouring countries. A new Media Resilience Programme aimed at supporting independent journalism and media literacy was also announced.
Limits to the use of social media by young people. The President of the Commission raised concerns about the impact of social media on children’s mental health and safety. She committed to convening a panel of experts to consider restrictions for social media access, referencing efforts that have been put in place in Australia.
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OpenAI is set to argue in an Ontario court that a copyright lawsuit by Canadian news publishers should be heard in the United States. The case, the first of its kind in Canada, alleges that OpenAI scraped Canadian news content to train ChatGPT without permission or payment.
The coalition of publishers, including CBC/Radio-Canada, The Globe and Mail, and Postmedia, says the material was created and hosted in Ontario, making the province the proper venue. They warn that accepting OpenAI’s stance would undermine Canadian sovereignty in the digital economy.
OpenAI, however, says the training of its models and web crawling occurred outside Canada and that the Copyright Act cannot apply extraterritorially. It argues the publishers are politicising the case by framing it as a matter of sovereignty rather than jurisdiction.
The dispute reflects a broader global clash over how generative AI systems use copyrighted works. US courts are already handling several similar cases, though no clear precedent has been established on whether such use qualifies as fair use.
Publishers argue Canadian courts must decide the matter domestically, while OpenAI insists it belongs in US courts. The outcome could shape how copyright laws apply to AI training and digital content across borders.
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Researchers at NYU’s Tandon School of Engineering have demonstrated how large language models can be utilised to execute ransomware campaigns autonomously. Their prototype, dubbed Ransomware 3.0, simulated every stage of an attack, from intrusion to the generation of a ransom note.
The system briefly raised an alarm after cybersecurity firm ESET discovered its files on VirusTotal, mistakenly identifying them as live malware. The proof-of-concept was designed only for controlled laboratory use and posed no risk outside testing environments.
Instead of pre-written code, the prototype embedded text instructions that triggered AI models to generate tailored attack scripts. Each execution created unique code, evading traditional detection methods and running across Windows, Linux, and Raspberry Pi systems.
The researchers found that the system identified up to 96% of sensitive files and could generate personalised extortion notes, raising psychological pressure on victims. With costs as low as $0.70 per attack using commercial AI services, such methods could lower barriers for criminals.
The team stressed that the work was conducted ethically and aims to help defenders prepare countermeasures. They recommend monitoring file access patterns, limiting outbound AI connections, and developing defences against AI-generated attack behaviours.
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Bloomberg’s Mark Gurman now reports that Apple plans to introduce its AI-powered web search tool in spring 2026. The move would position it against OpenAI and Perplexity, while renewing pressure on Google.
The speculation comes after news that Google may integrate its Gemini AI into Apple devices. During an antitrust trial in April, Google CEO Sundar Pichai confirmed plans to roll out updates later this year.
According to Gurman, Apple and Google finalised an agreement for Apple to test a Google-developed AI model to boost its voice assistant. The partnership reflects Apple’s mixed strategy of dependence and rivalry with Google.
With a strong record for accurate Apple forecasts, Gurman suggests the company hopes the move will narrow its competitive gap. Whether it can outpace Google, especially given Pixel’s strong AI features, remains an open question.
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President Trump has signed an Executive Order to promote American leadership in AI exports, marking a significant policy shift. The move creates new global opportunities for US businesses but also introduces stricter compliance responsibilities.
The order establishes the American AI Exports Program, overseen by the Department of Commerce, to develop and deploy ‘full-stack’ AI export packages.
These packages cover everything from chips and cloud infrastructure to AI models and cybersecurity safeguards. Industry consortia will be invited to submit proposals, outlining hardware origins, export targets, business models, and federal support requests.
A central element of the initiative is ensuring compliance with US export control regimes. Companies must align with the Export Control Reform Act and the Export Administration Regulations, with special attention to restrictions on advanced computing chips.
New guidance warns against potential violations linked to hardware and highlights red flags for illegal diversion of sensitive technology.
Commerce stresses that participation requires robust export compliance plans and rigorous end user screening.
Legal teams are urged to review policies on AI exports, as regulators focus on preventing misuse of advanced computing systems in military or weapons programmes abroad.
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The US tech giant Microsoft is expanding its AI strategy by integrating Anthropic’s Claude models into Office 365, adding them to apps like Word, Excel and Outlook instead of relying solely on OpenAI.
Internal tests reportedly showed Anthropic’s systems outperforming OpenAI in specific reasoning and data-processing tasks, prompting Microsoft to adopt a hybrid approach while maintaining OpenAI as a frontier partner.
The shift reflects growing strain between Microsoft and OpenAI, with disputes over intellectual property and cloud infrastructure as well as OpenAI’s plans for greater independence.
By diversifying suppliers, Microsoft reduces risks, lowers costs and positions itself to stay competitive while OpenAI prepares for a potential public offering and develops its own data centres.
Anthropic, backed by Amazon and Google, has built its reputation on safety-focused AI, appealing to Microsoft’s enterprise customers wary of regulatory pressures.
Analysts believe the move could accelerate innovation, spark a ‘multi-model era’ of AI integration, and pressure OpenAI to enhance its technology faster.
The decision comes amid Microsoft’s push to broaden its AI ecosystem, including its in-house MAI-1 model and partnerships with firms like DeepSeek.
Regulators are closely monitoring these developments, given Microsoft’s dominant role in AI investment and the potential antitrust implications of its expanding influence.
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Abu Dhabi hosted a Weather Summit that explored how AI could transform forecasting and support operations, such as cloud seeding. Experts emphasised that AI enhances analysis but must complement, rather than replace, human judgement.
Discussions focused on Earth-system forecasting using satellite datasets, IoT devices, and geospatial systems. Quality, interoperability, and equitable access to weather services were highlighted as pressing priorities.
Speakers raised questions about public and private sector incentives’ reliability, transparency, and influence on AI. Collaboration across sectors was crucial to strengthening trust and global cooperation in meteorology.
WMO President Dr Abdulla Al Mandous said forecasting has evolved from traditional observation to supercomputing and AI. He argued that integrating models with AI could deliver more precise local forecasts for agriculture, aviation, and disaster management.
The summit brought together leaders from UN bodies, research institutions, and tech firms, including Google, Microsoft, and NVIDIA. Attendees highlighted the need to bridge data gaps, particularly in developing regions, to confront rising climate challenges.
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Meta has plans to spend at least $600 billion on US data centres and AI infrastructure by 2028. The forecast, reported by The Information, was shared by CEO Mark Zuckerberg during a dinner with President Donald Trump and other technology leaders.
Capital expenditure is set to rise sharply over the next three years. Meta projects spending of $66–72 billion in 2025, nearly 70% higher than 2024, with another significant increase expected in 2026.
The company said the surge in investment will be driven primarily by the need to expand AI computing power.
Zuckerberg confirmed that Meta aims to deploy more than one million GPUs to train its next generation of AI models.
The company is also investing heavily in talent and infrastructure as it builds a dedicated team focused on developing artificial super intelligence, a concept referring to AI systems with capabilities beyond those of humans.
The spending commitment highlights how major US technology companies are racing to secure computing capacity for AI. Meta is pledging ‘hundreds of billions of dollars’ towards expanding its data centre footprint in the years ahead.
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Shares in Amsterdam-based Nebius surged more than 50% in US premarket trading after the company announced a $19.4 billion deal with Microsoft. The agreement will provide cloud computing power for AI workloads and is set to run until 2031.
Under the pact’s terms, Nebius will generate $17.4 billion in revenue over the next six years, with Microsoft also retaining the option to purchase additional computing capacity.
Investors responded strongly, with Nebius shares climbing 60% in extended trading on Monday and continuing their rise on Tuesday. Rival AI infrastructure company CoreWeave also benefited, gaining more than 6% premarket.
Nebius, spun out from Russian internet firm Yandex in 2023, specialises in supplying GPUs for training AI models. The deal underscores the high demand for computing power as companies race to develop increasingly advanced AI systems.
Industry leader Nvidia recently reported soaring earnings and forecast that AI infrastructure spending could reach $4 trillion by 2030.
The boom in AI infrastructure comes amid mounting questions over whether valuations are sustainable. OpenAI has reportedly reached a $500 billion valuation, while rival Anthropic recently raised $13 billion at a $183 billion valuation.
Some analysts, including OpenAI chief executive Sam Altman, have warned that the AI sector may already show signs of a bubble.
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Researchers combine human tissue models with explainable AI to analyse patient data and identify treatments that work best for specific patients. First applied to inflammatory bowel disease, the approach could improve clinical trial success rates and accelerate drug discovery.
REPROCELL, IBM, and the STFC Hartree Centre have developed Pharmacology-AI, a platform uniting tissue models with machine learning. Delivered through the Hartree National Centre for Digital Innovation, it reduces costs, enhances trial design, and enables more targeted therapies.
Unlike tools that seek to replace human expertise, the platform acts as a decision-support system. It helps scientists detect patterns in complex datasets while keeping outputs interpretable for clinical trial use. Developers emphasised usability, ensuring non-technical staff can work with the system.
Human fresh tissue models play a central role, preserving biological complexity and simulating drug effects before trials. However, this generates reliable data that can be paired with AI to identify optimal patient profiles and reduce the risk of costly trial failures.
The project’s success suggests broad applications beyond IBD. With explainable AI and high-quality patient data, Pharmacology-AI could improve outcomes across multiple disease areas, making drug development faster, more efficient, and more precise.
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