Development

EU examines Amazon and Microsoft influence in cloud services

European regulators have launched three market investigations into cloud computing amid growing concerns about sector concentration.

The European Commission will assess whether Amazon Web Services and Microsoft Azure should be designated as gatekeepers for their cloud services under the Digital Markets Act, despite not meeting the formal threshold criteria.

Officials argue that cloud infrastructure now underpins AI development and many digital services, so competition must remain open and fair.

A move that signals a broader shift in EU oversight of strategic technologies. Rather than focusing solely on size, investigators will examine whether the two providers act as unavoidable gateways between businesses and users.

They will analyse network effects, switching costs and the role of corporate structures that might deepen market dominance. If the inquiries confirm gatekeeper status, both companies will face the DMA’s full obligations and a six-month compliance period.

A parallel investigation will explore whether existing DMA rules adequately address cloud-specific risks that might limit competition. Regulators aim to clarify whether obstacles to interoperability, restricted access to data, tying of services and imbalanced contractual terms require updated obligations.

Insights gathered from industry, public bodies and civil society will feed into a final report within 18 months, potentially leading to changes via a delegated act.

EU officials underline that Europe’s competitiveness, technological resilience and future AI capacity rely on a fair cloud environment. They argue that a transparent and contestable market will strengthen Europe’s strategic autonomy and encourage innovation.

The inquiries will shape how digital platforms are regulated as cloud services become increasingly central to economic and social life.

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Cloudflare outage disrupts leading crypto platforms

Cloudflare experienced a significant network outage on Tuesday, which disrupted access to major cryptocurrency platforms, including Coinbase, Kraken, Etherscan, and several DeFi services, resulting in widespread ‘500 Internal Server Error’ messages.

The company acknowledged the issue as an internal service degradation across parts of its global network and began rolling out a fix. However, users continued to face elevated error rates during the process.

Major Bitcoin and Ethereum platforms, as well as Aave, DeFiLlama, and several blockchain explorers, were impacted. The disruption spread beyond crypto, affecting several major Web2 platforms, while services like BlueSky and Reddit stayed fully operational.

Cloudflare shares dropped 3.5% in pre-market trading as the company investigated whether scheduled maintenance at specific data centres played any role.

The incident marks the third significant Cloudflare disruption affecting crypto platforms since 2019, highlighting the industry’s ongoing reliance on centralised infrastructure providers despite its focus on decentralisation.

Industry experts pointed to recent outages from Cloudflare and Amazon Web Services as evidence that critical digital services cannot rely solely on a single vendor for reliability. Kraken restored access ahead of many peers, while Cloudflare stated that the issue was resolved and would continue to monitor for full stability.

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AI energy demand strains electrical grids

Microsoft CEO Satya Nadella recently delivered a key insight, stating that the biggest hurdle to deploying new AI solutions is now electrical power, not chip supply. The massive energy requirements for running large language models (LLMs) have created a critical bottleneck for major cloud providers.

Nadella specified that Microsoft currently has a ‘bunch of chips sitting in inventory’ that cannot be plugged in and utilised. The problem is a lack of ‘warm shells’, meaning data centre buildings that are fully equipped with the necessary power and cooling capacity.

The escalating power requirements of AI infrastructure are placing extreme pressure on utility grids and capacity. Projections from the Lawrence Berkeley National Laboratory indicate that US data centres could consume up to 12 percent of the nation’s total electricity by 2028.

The disclosure should serve as a warning to investors, urging them to evaluate the infrastructure challenges alongside AI’s technological promise. This energy limitation could create a temporary drag on the sector, potentially slowing the massive projected returns on the $5 trillion investment.

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Microsoft and NVIDIA expand partnership with Anthropic

Microsoft, NVIDIA, and Anthropic have announced new strategic partnerships to expand access to Anthropic’s rapidly growing Claude AI models. Claude will scale on Microsoft Azure with NVIDIA support, offering enterprise customers broader model choices and enhanced capabilities.

Anthropic has committed to purchase $30 billion of Azure compute capacity and additional capacity up to one gigawatt. NVIDIA and Anthropic will optimise Claude models for performance, efficiency, and cost, while aligning future NVIDIA architectures with Anthropic workloads.

The partnerships also extend Claude access across Microsoft Foundry, including frontier models like Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5.

Microsoft Copilot products, including GitHub Copilot, Microsoft 365 Copilot, and Copilot Studio, will continue to feature Claude capabilities, providing enterprise users with integrated AI tools.

Microsoft and NVIDIA have committed $5 billion and $10 billion respectively to support Anthropic’s growth. The partnership makes Claude the only frontier AI model on all three top cloud platforms, boosting enterprise AI adoption and innovation.

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AI threatens global knowledge diversity

AI systems are increasingly becoming the primary source of global information, yet they rely heavily on datasets dominated by Western languages and institutions.

Such reliance creates significant blind spots that threaten to erase centuries of indigenous wisdom and local traditions not currently found in digital archives.

Dominant language models often overlook oral histories and regional practices, including specific ecological knowledge essential for sustainable living in tropical climates.

Experts warn of a looming ‘knowledge collapse’ where alternative viewpoints fade away simply because they are statistically less prevalent in training data.

Future generations may find themselves disconnected from vital human insights as algorithms reinforce a homogenised worldview through recursive feedback loops.

Preserving diverse epistemologies remains crucial for addressing global challenges, such as the climate crisis, rather than relying solely on Silicon Valley’s version of intelligence.

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CelcomDigi convergence project earns ZTE top 5G service honour

ZTE has won the Best Mobile/5G Service Innovation award at the 2025 Global Connectivity Awards for its work on Malaysia’s CelcomDigi dual-network convergence. The project integrates network assets across four regions and six operators, marking the largest deployment of its kind in the country.

The company introduced an intelligent, integrated, and connected management model built on big-data platforms for site deployment, optimisation, and value analysis. Eight smart tools support planning, commissioning, and operations, enabling end-to-end oversight of project delivery and performance.

Phase-one results show a 15 percent rise in coverage, 25 percent faster downloads, higher traffic, and a more than 60 percent reduction in complaints. ZTE also deployed AI-based energy-saving systems to reduce emissions and advance sustainability goals across the network.

The project incorporates talent-building measures by prioritising localisation and working with Malaysian universities. ZTE says this approach supports long-term sector resilience alongside near-term performance gains.

CAPACITY’s Global Connectivity Awards, held in Malaysia, evaluate innovation, execution, and industry impact. ZTE states that it will continue to develop new project management models and partner globally to build more efficient, intelligent, and sustainable communications networks.

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Electricity bills surge as data centres drive up costs across the US

Massive new data centres, built to power the AI industry, are being blamed for a dramatic rise in electricity costs across the US. Residential utility bills in states with high concentrations of these facilities, such as Virginia and Illinois, are surging far beyond the national average.

The escalating energy demand has caused a major capacity crisis on large grids like the PJM Interconnection, with data centre load identified as the primary reason for a multi-billion pound spike in future power costs. These extraordinary increases are being passed directly to consumers, making affordability a central issue for politicians ahead of upcoming elections.

Lawmakers are now targeting tech companies and AI labs, promising to challenge what they describe as ‘sweetheart deals’ and to make the firms contribute more to the infrastructure they rely upon.

Although rising costs are also attributed to an ageing grid and inflation, experts warn that utility bills are unlikely to decrease this decade due to the unprecedented demand from rapid data centre expansion.

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ALX and Anthropic partner with Rwanda on AI education

A landmark partnership between ALX, Anthropic, and the Government of Rwanda has launched a major AI learning initiative across Africa.

The program introduces ‘Chidi’, an AI-powered learning companion built on Anthropic’s Claude model. Instead of providing direct answers, the system is designed to guide learners through critical thinking and problem-solving, positioning African talent at the centre of global tech innovation.

An initiative, described as one of the largest AI-enhanced education deployments on the continent, that will see Chidi integrated into Rwanda’s public education system. A pilot phase will involve up to 2,000 educators and select civil servants.

According to the partners, the collaboration aims to ensure Africa’s youth become creators of AI technology instead of remaining merely consumers of it.

A three-way collaboration that unites ALX’s training infrastructure, Anthropic’s AI technology, and Rwanda’s progressive digital policy. The working group, the researchers noted, will document insights to inform Rwanda’s national AI policy.

The initiative sets a new standard for inclusive, AI-powered learning, with Rwanda serving as a launch hub for future deployments across the continent.

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Singapore’s HTX boosts Home Team AI capabilities with Mistral partnership

HTX has signed a new memorandum of understanding with France’s Mistral AI to accelerate joint research on large language and multimodal models for public safety. The partnership will expand into embodied AI, video analytics, cybersecurity, and automated fire safety systems.

The deal builds on earlier work co-developing Phoenix, HTX’s internal LLM series, and a Home Team safety benchmark for evaluating model behaviour. The organisations will now collaborate on specialised models for robots, surveillance platforms, and cyber defence tools.

Planned capabilities include natural-language control of robotic systems, autonomous navigation in unfamiliar environments, and object retrieval. Video AI tools will support predictive tracking and proactive crime alerts across multiple feeds.

Cybersecurity applications include automated architecture reviews and on-demand vulnerability testing. Fire safety tools will use multimodal comprehension to analyse architectural plans and flag compliance issues without manual checks.

The partnership forms part of the HTxAI movement, which aims to strengthen Home Team AI capacity through research collaborations with industry and academia. Mistral’s flagship models, Mistral Medium 3.1 and Magistral, are currently among the top performers in multilingual and multimodal benchmarks.

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Abridge AI scribe allegedly gives doctors an hour back daily

A new study led by Yale University confirmed that Abridge’s ambient AI scribe significantly reduces burnout for medical professionals. Clinicians who used the documentation technology experienced a sharp decline in burnout rates over the first thirty days of use.

AI may offer a scalable solution to administrative demands faced by practitioners nationwide. The quality study, published in ‘Jama Network Open’, examined 263 practitioners across six different healthcare systems.

Burnout rates dropped from 51.9 percent to 38.8 percent after the one-month intervention programme. Secondary analysis showed the AI scribes reduced the odds of burnout by a substantial seventy-four percent.

The ambient AI scribe also led to substantial improvements in the clinicians’ cognitive task load. Practitioners reported they were better able to give undivided attention to patients during their clinical consultations.

High documentation demands are increasing clinician attrition, whilst physician shortages multiply across the sector. Reducing the burdensome administrative load is now critical for maintaining quality patient care and professional well-being.

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