US Maintains Commanding Lead in AI Infrastructure with 5,500 Data Centers and 75% of Global Computing Power

- The United States hosts nearly 5,500 data centers and accounts for three-quarters of the world's computing power as of May 2025, providing a substantial advantage over China in the global AI race according to EpochAI research.
- America's semiconductor superiority remains the primary AI advantage, with Nvidia chips significantly outperforming China's most powerful Huawei-produced chips in both processing power and bandwidth memory, and the performance gap will increase substantially in coming years.
- ByteDance plans to invest $23 billion this year on AI infrastructure including chips, while US companies are coordinating with the White House to secure additional grid capacity for data centers to prevent consumer price hikes.
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AI Infrastructure in Europe: Spain’s Gigafactory Bid & Strategy
• Europe has launched a €200 billion initiative to establish at least five AI gigafactories, creating high-performance ecosystems to provide essential computing power. • Spain is positioning itself as a strategic hub within this framework, focusing on sovereign cloud efforts to reduce reliance on overseas technology providers.
Read original · sourcetrail.com
SourceTrailData dive: Kill switch and catch-up – can Europe close the sovereignty gap?
• The EU and UK are implementing "sovereign-tech" measures to counter US dominance in AI and reduce the risk of foreign "kill switches" affecting their infrastructure. • This industrial policy aims to bridge a massive $2 trillion revenue gap between European tech firms and their American counterparts.
Read original · computerweekly.com
Computer Weekly10 of Europe’s largest 2026 VC funds, so far
• European venture capital fundraising in 2026 is increasingly concentrated in specialist funds targeting high-growth sectors including DeepTech, AI, DefenceTech, FinTech, quantum, BioTech, and climate. • A significant trend involves funds specifically targeting growth-stage European DeepTech companies, with a strategic focus on Series B and Series C investment rounds.
Read original · eu-startups.com
EU-StartupsRussia ‘mounted drone surveillance of European nuclear sites over 18 months’ | Russia
• Researchers report that Russia conducted a concerted drone surveillance campaign targeting nuclear sites in the UK, France, Belgium, and the Netherlands over an 18-month period. • The operation involved 144 separate incidents, including flights over RAF Lakenheath, with drones launched from "shadow fleet" vessels to avoid detection.
Read original · theguardian.comStartup Genome 2026: Why India's Next Startup Challenge Is AI
• The Startup Genome 2026 report highlights a strategic shift in India's startup ecosystem, moving beyond Bengaluru's rankings toward AI, DeepTech, and scientific research. • The trend emphasizes a transition from traditional software to original AI models, robotics, semiconductor technologies, and specialized software.
Read original · tice.news
TICE NewsPortugal launches first open-source AI model, joining Europe's sovereignty push - The Economic Times
• Portugal has launched Amalia, its first open-source artificial intelligence model, developed by a consortium of national universities and research institutions. • The project was supported by the Portuguese government and funded with €5.5 million ($6.26 million) from EU recovery funds.
Read original · m.economictimes.comWhen AI Turns Against the Machine: The Emerging Threat of LLMs Targeting AI Infrastructure
• The rapid integration of Large Language Models (LLMs) into critical infrastructure has introduced a new attack surface where AI is used to target other AI systems. • This emerging threat involves the use of adaptive malware and Advanced Persistent Threats (APTs) to disrupt essential technology and civil infrastructure.
Read original · smallwarsjournal.com
Small Wars JournalDutch cybersecurity startup Dawnguard lands €2.8 million for AI-native security architecture automation
• Amsterdam-based cybersecurity startup Dawnguard has publicly launched its AI-native security architecture automation platform. • The company secured €2.8 million ($3.3 million) in pre-Seed funding from BNVT Capital, Curiosity VC, and eCAPITAL.
Read original · eu-startups.com
EU-StartupsCybersecurity professionals cite agentic AI, LLMs, and cloud infrastructure breaches as top concerns | brief
• Bitdefender's 2026 Cybersecurity Assessment Report, surveying over 1,200 professionals across six countries, identifies internal AI systems, LLMs, and cloud infrastructure as the top security concerns for 45% and 44% of respondents, respectively. • Over the last year, 41.8% of organizations suffered cloud breaches, while 59.2% confirmed AI-driven social engineering attacks; U.S. firms were particularly hit by business email compromise at a rate of 54.7%.
Read original · scworld.com
SC MediaGlobal AI wave revs up Asian factories, offsetting war-induced pain - The Business Times
• Factory activity in several Asian emerging economies, including the Philippines, Malaysia, Taiwan, and Vietnam, expanded or remained steady in June. • Specific data shows the Philippines' activity index held at 50.9, while Malaysia's rose to 50.7 from 49.9 in May.
Read original · businesstimes.com.sgArtificial Intelligence in Agriculture Market Size to Hit USD 24.55 Billion by 2035
• The global artificial intelligence in agriculture market is projected to reach USD 24.55 billion by 2035, with the U.S. and Europe expected to hit $6.63 billion and $6.08 billion respectively. • The Asia Pacific region is emerging as the fastest-growing market, fueled by food security needs and government initiatives in India, Japan, South Korea, and Southeast Asia.
Read original · globenewswire.comAgentic AI creates enterprise challenge beyond LLM boom
• Enterprises are facing escalating costs and governance gaps as thousands of agentic AI agents are deployed across multiple corporate systems to work alongside human staff. • To address these challenges, Kong is developing a new system that matches specific AI workloads with the most appropriate models based on the complexity of the task.
Read original · itbrief.asia
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