Nvidia is reportedly investing up to $2bn in Elon Musk’s AI company, xAI, as part of a $20bn funding round aimed at scaling its Colossus 2 data centre in Memphis. The capital will be used to buy Nvidia GPUs, essential for powering xAI’s next generation of AI models.
The funding package combines about $7.5bn in equity and up to $12.5bn in debt, structured through a special purpose vehicle that will lease the hardware to xAI over five years. The debt is secured by the GPUs themselves, allowing investors to recover their costs through chip rentals.
xAI faces mounting financial pressure, with reports indicating a cash burn of around $1bn per month. The firm raised $10bn earlier in the year and continues to draw on capital from Musk’s other ventures, including SpaceX.
The move comes amid an intense funding surge across the AI sector, as OpenAI, Meta and Oracle also announce multi-billion-dollar investments in infrastructure. Nvidia’s latest deal with xAI further cements its position at the centre of the global AI hardware ecosystem.
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Researchers are using satellite imagery and AI modelling to map global mining activity and close critical data gaps. Transition minerals, such as lithium and copper, are vital for renewable technologies but often come from ecologically sensitive regions, raising concerns about both environmental and social impacts.
Project lead Victor Maus from the Vienna University of Economics and Business said many new projects overlap with areas of high biodiversity or Indigenous lands. Over half of transition mineral resources are on or near Indigenous or subsistence farming territories, according to earlier studies.
Previous mapping efforts have struggled to document small-scale and informal mining, which remains unregulated despite its impact. Maus’s team compared satellite images of 120,000 square kilometres of mine footprints with the S&P Capital IQ Pro database and found over half missing.
To close these gaps, the team is creating a mining database under the EU-funded Mine the Gap initiative. By combining multispectral, radar, and hyperspectral imagery with AI, they aim to monitor land use, waste generation, and environmental degradation.
Experts say the database could support policymakers and increase transparency. Maus emphasised that global reporting standards are crucial for enhancing accountability and informing decisions on managing the environmental and social impacts of mining.
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Discord has confirmed that official ID images belonging to around 70,000 users may have been exposed in a cyberattack targeting a third-party service provider. The platform itself was not breached, but hackers targeted a company involved in age verification processes.
The leaked data may include personal information, partial credit card details, and conversations with Discord’s customer service agents. No full credit card numbers, passwords, or activity beyond support interactions were affected. Impacted users have been contacted, and law enforcement is investigating.
The platform has revoked the support provider’s access to its systems and has not named the third party involved. Zendesk, a customer service software supplier to Discord, said its own systems were not compromised and denied being the source of the breach.
Discord has rejected claims circulating online that the breach was larger than reported, calling them part of an attempted extortion. The company stated it would not comply with demands from the attackers. Cybercriminals often sell personal information on illicit markets for use in scams.
ID numbers and official documents are especially valuable because, unlike credit card details, they rarely change. Discord previously tightened its age-verification measures following concerns over the misuse of some servers to distribute illegal material.
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Countries are racing to harness AI, and the European Commission has unveiled two strategies to maintain Europe’s competitiveness. Apply AI targets faster adoption across industries and the public sector, while AI in Science focuses on boosting Europe’s research leadership.
Commission President Ursula von der Leyen stated that Europe must shape AI’s future by balancing innovation and safety. The European Commission is mobilising €1 billion to boost adoption in healthcare, manufacturing, energy, defence, and culture, while supporting SMEs.
Measures include creating AI-powered screening centres for healthcare, backing frontier models, and upgrading testing infrastructure. An Apply AI Alliance will unite industry, academia, civil society, and public bodies to coordinate action, while an AI Observatory will monitor sector trends and impacts.
The AI in Science Strategy centres on RAISE, a new virtual institute to pool and coordinate resources for applying AI in research. Investments include €600 million in compute power through Horizon Europe and €58 million for talent networks, alongside plans to double annual AI research funding to over €3 billion.
The EU aims to position itself as a global hub for trustworthy and innovative AI by linking infrastructure, data, skills, and investment. Upcoming events, such as the AI in Science Summit in Copenhagen, will showcase new initiatives as Europe pushes to translate its AI ambitions into tangible outcomes.
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The European Commission has launched the AI in Science Strategy to position Europe at the forefront of AI-driven research and innovation. RAISE, a virtual European institute, pools AI resources to support scientific research and advance capabilities across Europe.
The strategy aims to attract global talent, provide €600 million from Horizon Europe for computational power, and double annual AI investments to over €3 billion. These measures aim to ensure researchers and startups have access to the infrastructure needed for AI breakthroughs.
It also supports scientists in identifying strategic data gaps, gathering, curating, and integrating datasets essential for AI in science. By doing so, Europe seeks to create a robust, data-driven environment that accelerates innovation across disciplines.
The Apply AI Strategy is also being implemented to encourage AI adoption in key industries and public services. Together with the AI Act Service Desk and AI Continent Action Plan, these initiatives strengthen Europe’s goal to lead in scientific research and industrial AI adoption.
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California has enacted SB 53, offering legal protection to employees reporting AI risks or safety concerns. The law covers companies using large-scale computing for AI model training, focusing on leading developers and exempting smaller firms.
It also mandates transparency, requiring risk mitigation plans, safety test results, and reporting of critical safety incidents to the California Office of Emergency Services (OES).
The legislation responds to calls from industry insiders, including former OpenAI and DeepMind employees, who highlighted restrictive offboarding agreements that silenced criticism and limited public discussion of AI risks.
The new law protects employees who have ‘reasonable cause’ to believe a catastrophic risk exists, defined as endangering 50 lives or causing $1 billion in damages. It allows them to report concerns to regulators, the Attorney General, or management without fear of retaliation.
While experts praise the law as a crucial step, they note its limitations. The protections focus on catastrophic risks, leaving smaller but significant harms unaddressed.
Harvard law professor Lawrence Lessig emphasises that a lower ‘good faith’ standard for reporting would simplify protections for employees, though it is currently limited to internal anonymous channels.
The law reflects growing recognition of the stakes in frontier AI, balancing the need for innovation with safeguards that encourage transparency. Advocates stress that protecting whistleblowers is essential for employees to raise AI concerns safely, even at personal or financial risk.
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The US tech giant, Google, has announced a €5 billion investment in Belgium to strengthen its AI and cloud infrastructure over the next two years.
A plan that includes major expansions of its Saint-Ghislain data centre campuses and the creation of 300 full-time jobs.
The company has also signed agreements with Eneco, Luminus and Renner to develop new onshore wind farms and supply the Belgian grid with clean energy.
Alongside the infrastructure push, Google will fund non-profits to deliver free AI training for low-skilled workers, ensuring broader access to digital skills.
By deepening its presence in Belgium, Google aims to bolster the country’s technological and economic future. The initiative marks one of Europe’s largest AI infrastructure investments, reflecting growing competition to secure leadership in the continent’s digital transformation.
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Alibaba Group has established a robotics AI team within its Qwen lab, marking a significant step in its strategy to expand into AI-powered hardware.
However, this move reflects China’s broader push to lead in robotics and embodied intelligence, increasingly driven by generative AI and multimodal foundation models.
Qwen researcher Lin Junyang revealed the creation of the robotics unit on social media, describing it as part of Alibaba’s efforts to move AI from the virtual to the physical world.
The lab’s Qwen series has already achieved global prominence, with seven models ranking among the world’s top ten on Hugging Face, including the multimodal Qwen3-Omni in first place.
Group chairman Joe Tsai recently stressed that success in AI depends less on model scale and more on how rapidly technologies are adopted. He argued that China is focused on cost-effective, open-source AI models that can enable faster integration than the high-cost approach pursued in the US.
Alibaba CEO Eddie Wu Yongming confirmed plans to raise AI infrastructure investment to 380 billion yuan over three years to become a full-stack AI provider.
The company also invests in robotics ventures such as Unitree Robotics and X Square Robot, aligning its expansion with national industrial strategies and the country’s accelerating robotics leadership.
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The US startup OpenAI has broadened access to its affordable ChatGPT Go plan, now available in 16 additional countries across Asia, including Malaysia, Vietnam, the Philippines, Pakistan, and Thailand.
Priced at under $5 per month, the plan offers local currency payments in select regions, while others will pay in USD with tax-adjusted variations.
ChatGPT Go gives users higher message and image-generation limits, increased upload capacity, and double the memory of the free plan.
A move that follows significant regional growth (Southeast Asia’s weekly active users increasing fourfold) and builds on earlier launches in India and Indonesia, where paid subscriptions have already doubled.
The expansion intensifies competition with Google, which recently introduced its Google AI Plus plan in more than 40 countries. Both companies are vying to attract users in fast-growing markets with low-cost AI access, each blending productivity and creative tools into subscription offerings.
At OpenAI’s DevDay 2025 in San Francisco, CEO Sam Altman announced that ChatGPT’s global weekly active users have reached 800 million.
OpenAI is also introducing in-chat applications from partners like Spotify, Zillow, and Coursera, signalling a shift toward transforming ChatGPT into a broader AI platform ecosystem.
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The European Commission has launched the Apply AI Strategy to accelerate AI adoption, especially among small and medium-sized enterprises (SMEs). The initiative seeks to improve public services, boost Europe’s competitiveness, and advance European AI model development.
JRC findings highlight the need for infrastructure, talent, and collaboration investment to keep Europe a global AI leader. Experts stress that AI literacy and specialised skills are crucial to closing the gap between education and market demand.
Current training is heavily concentrated in ICT fields, with less emphasis on generative AI and non-technical disciplines, calling for a more diverse and multidisciplinary approach.
AI adoption in the public sector is a central focus of the strategy, with JRC research showing that successful implementation depends on leadership, innovation, and internal expertise. The JRC-managed Public Sector Tech Watch collects AI use cases to support policy and modernise the EU administrations.
The strategy also reinforces the role of European Digital Innovation Hubs (EDIHs), which will evolve into Experience Centres for AI. These centres will help SMEs and public sector organisations integrate AI more effectively by offering training, regulatory guidance, and ethical support.
The JRC report on EDIHs highlights their growing readiness and commitment to improving services that support Europe’s AI transition.
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