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SoftBank pledges €75 billion for 5 gigawatts of AI data center capacity in France—Europe's largest AI infrastructure commitment—brokered directly between Masayoshi Son and President Macron.
WindBorne Systems' WeatherMesh 6 outperforms the ECMWF on key accuracy metrics and produces a full global forecast every hour — marking a new high-water mark for private AI outpacing government science.
Baker Donelson's 2026 AI legal forecast marks a clear inflection: the industry has moved from experimentation to governance as the defining challenge, driven by autonomous AI agents that can execute contracts and stress-test agency law.
Google has made Gemini 3.5 Flash generally available at $1.50 per million input tokens, offering frontier-level reasoning at four times the speed of comparable models — putting direct price pressure on OpenAI's fast inference lineup.
The EU Council and Parliament reached a provisional agreement to simplify AI Act compliance requirements, responding to sustained criticism that the original framework was unworkable for startups and mid-size companies.
Jeff Bezos publicly dismissed AI bubble concerns on CNBC, arguing that even a bubble-driven buildout creates lasting infrastructure value — while revealing he is backing a $6.2 billion physical-world AI startup.
Jeff Bezos broke his silence on Project Prometheus, describing his $38 billion AI startup as building an artificial general engineer — a next-generation design tool for physical objects.
The EU Council formally adopted conclusions demanding teachers remain at the center of AI-augmented education — setting up a direct policy contrast with US states racing to mandate AI tools in classrooms.
Film, music, and publishing leaders met in India on May 8 to coordinate a global copyright defense strategy for the AI age, targeting policy windows in the EU, US, and India.
Europe's electricity grid faces a structural inability to meet AI data center demand, with interconnection queues stretching 3–5 years and aging cross-border infrastructure threatening both AI competitiveness and 2030 climate targets.
AI data centers are projected to consume 1,050 TWh globally by end of 2026—potentially ranking as the world's fifth-largest national energy user—while U.S. grid interconnection queues stretch three to five years.
Multinationals now face simultaneous AI compliance obligations under as many as five distinct regulatory regimes, with the EU, US, UK, and Asia-Pacific adopting fundamentally different enforcement philosophies.
EU institutions are actively considering pushing key AI Act compliance deadlines into 2027–2028. Companies that planned around June 2026 now face material uncertainty about final obligations.
Colorado's AI Act, new state requirements in Illinois, Texas, and California, and an uncertain EU timeline are creating a compliance crunch that legal teams can no longer defer.
Workable solutions to AI's power grid strain exist — but permitting bottlenecks, eliminated tax credits, and political obstacles are blocking 2,500 gigawatts of energy projects worldwide.
The European Commission is preparing to designate ChatGPT as a 'very large online search engine' under the DSA — activating the EU's most stringent digital platform obligations for OpenAI.
Oracle contracted 2.8 gigawatts from Bloom Energy's fuel cells because the grid interconnection queue is too slow—a structural shift that is turning hyperscalers into their own utilities.
WHO Europe's first comprehensive report finds nearly three-quarters of EU member states already using AI-assisted diagnostics — with significant governance and equity gaps beneath the headline number.
Vodafone Business and Google Cloud expanded their $1 billion partnership today with two AI-powered tools for European SMBs: an AI Concierge powered by Gemini and a managed cybersecurity service, launching first in Germany and Greece.
Oracle has contracted up to 2.8 gigawatts of power from Bloom Energy's stationary fuel cells for AI data centers — bypassing utility interconnection queues that average four years and establishing off-grid power as a mainstream AI infrastructure strategy.