Future of work

Nvidia to invest $2bn in Elon Musk’s xAI

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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OSCE warns AI threatens freedom of thought

The OSCE has launched a new publication warning that rapid progress in AI threatens the fundamental human right to freedom of thought. The report, Think Again: Freedom of Thought in the Age of AI, calls on governments to create human rights-based safeguards for emerging technologies.

Speaking during the Warsaw Human Dimension Conference, Professor Ahmed Shaheed of the University of Essex said that freedom of thought underpins most other rights and must be actively protected. He urged states to work with ODIHR to ensure AI development respects personal autonomy and dignity.

Experts at the event said AI’s growing influence on daily life risks eroding individuals’ ability to form independent opinions. They warned that manipulation of online information, targeted advertising, and algorithmic bias could undermine free thought and democratic participation.

ODIHR recommends states to prevent coercion, discrimination, and digital manipulation, ensuring societies remain open to diverse ideas. Protecting freedom of thought, the report concludes, is essential to preserving human dignity and democratic resilience in an age shaped by AI.

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European Commission launches Apply AI and AI in Science strategies

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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Google invests €5 billion to boost Belgium’s AI infrastructure

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’s Qwen lab launches robotics unit to drive embodied AI

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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ABB sells Robotics division to SoftBank in $5.4 billion deal

The Swedish-Swiss electrical engineering corporation ABB has agreed to sell its Robotics division to Japan’s SoftBank Group for an enterprise value of $5.375 billion, abandoning plans for a spin-off.

However, the move marks one of the most significant robotics transactions in recent years, and reflects both firms’ ambition to drive the next era of AI-based automation.

A divestment that will allow ABB to focus on its core businesses in electrification and automation, while SoftBank expands its ‘Physical AI’ strategy.

ABB said the sale would create immediate shareholder value and that proceeds would be used according to its capital allocation principles.

The Robotics division, which employs around 7,000 people and generated $2.3 billion in 2024 revenues, will become part of SoftBank’s portfolio upon completion of the deal, expected by mid-to-late 2026. The transaction is projected to yield ABB a pre-tax book gain of about $2.4 billion.

SoftBank founder Masayoshi Son said the acquisition aligns with his vision to combine artificial superintelligence and robotics to ‘propel humanity forward’.

ABB’s CEO Morten Wierod said the partnership would unite ABB’s industrial expertise with SoftBank’s AI capabilities, strengthening its global leadership in advanced robotics.

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Opal’s global rollout spans 15 countries with major feature upgrades

Google is expanding access to Opal, its no-code AI mini-app builder. Introduced two months ago within Google Labs, the tool enables users to create AI-powered mini-apps through natural language prompts, eliminating the need for coding.

According to Megan Li, Senior Product Manager at Google Labs, the expansion follows strong early engagement from creators. Users can access Opal at opal.withgoogle.com and join its builder community through Discord.

New debugging features aim to make workflows more transparent and efficient. Users can now run workflows step by step in a visual editor or adjust specific steps in the console, with real-time error reporting.

Performance upgrades have been introduced to speed up app creation, while parallel run capabilities enable simultaneous workflow steps. The rollout covers India, Canada, Japan, South Korea, Vietnam, Indonesia, Brazil, Singapore, Colombia, El Salvador, Costa Rica, Panamá, Honduras, and Argentina.

Meanwhile, Google DeepMind has launched Gemini 2.5 Computer Use, a specialised model capable of interacting with user interfaces. Available in preview through the Gemini API, it can be accessed via Google AI Studio and Vertex AI Studio.

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Kazakhstan turns to AI to fight the shadow economy

Kazakhstan’s Prime Minister Olzhas Bektenov has directed the full implementation of AI across government agencies to meet President Kassym-Jomart Tokayev’s goal of reducing the shadow economy’s share in GDP to 15 percent in 2025.

At a government session, Bektenov said progress must go beyond reports and correspondence, calling for structural reforms in taxation, digitalisation, and business regulation. He urged ministries to pursue a ‘transparent economy’ through comprehensive AI and data integration initiatives.

The State Revenue Committee of Kazakhstan will lead the digital transformation, supported by a new Data Processing Centre established by the Ministry of Artificial Intelligence and Digital Development.

Bektenov stressed that digitalisation projects such as cashless payments and the digital tenge have already proven effective in curbing unrecorded transactions and improving financial oversight.

AI will also be deployed in customs risk profiling and cargo inspection analysis to detect fraud and reduce corruption.

The Ministries of Finance, Justice, Trade, and National Economy were instructed to integrate databases under the Smart Data Finance system and to finalise an automated risk management system for company registration by 25 November.

Deputy Prime Minister Serik Zhumangarin will oversee coordination.

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Africa launches world’s largest tokenised economy with $5.5 billion

Global Settlement Network (GSN) and Diacente Group have partnered to establish Africa’s most advanced tokenised economy, valued at $5.5 billion in real-world infrastructure. The collaboration digitises assets across food production, minerals, renewable energy, and trade.

The initiative aims to create an inclusive, efficient economic system, leveraging blockchain to enhance emerging markets’ global participation.

Uganda leads with its first Central Bank Digital Currency (CBDC) pilot, deployed on GSN’s permissioned blockchain and backed by treasury bonds. Agro-processing hubs, mining operations, and solar plants underpin the tokenisation effort.

Fully compliant with KYC and AML regulations, the digital shilling enables over 40 million users to transact securely via smartphones and USSD, fostering financial inclusion across East Africa.

The project supports Uganda’s Vision 2040 and the African Union’s Agenda 2063, aligning with the goals of the African Continental Free Trade Area. Leaders project one million jobs and $10 billion in annual exports.

Ryan Kirkley, GSN co-founder, calls it a ‘programmable economy grounded in real assets,’ while Diacente’s Edgar Agaba emphasises attracting investment and empowering local industries through transparent, tech-driven systems.

The partnership sets a precedent for emerging markets, reducing reliance on intermediaries and unlocking global capital. Tokenisation integrated with national development drives sustainable growth, offering a scalable model for digital economies based on real infrastructure and regulatory collaboration.

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Power grid spending surges as US braces for data centre and AI boom

US electric utilities are set to spend nearly $208 billion on the power grid in 2025 and more than $1.1 trillion over the next five years, according to the Edison Electric Institute. The surge in investment reflects rising demand from data centres, artificial intelligence, and wider electrification across the economy.

EEI data shows that investor-owned utilities spent $765 billion on capital projects in the five years to 2024. The new spending represents a significant increase and is aimed at upgrading and expanding infrastructure to keep pace with the accelerating demand for electricity.

The growing investment comes as demand from energy-intensive technologies continues to rise. Data centres and AI workloads are driving sustained growth in US power consumption, placing unprecedented pressure on existing infrastructure and prompting utilities to scale up their spending plans.

David Weeks, supply chain industry practice lead at Moody’s, warned that the escalating energy crisis could become a limiting factor across multiple industries. He said grid constraints and permitting delays must be factored into corporate supply chain strategies to avoid future disruptions.

As electrification spreads across the economy, grid reliability and capacity are becoming critical considerations for companies. The planned investment underscores the urgency of modernising the power grid to support economic growth while adapting to new technological demands.

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