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AI Governance

When the heat rises, your AI goes dark

Most enterprise AI conversations in 2026 focus on model quality, cost-per-token, and agentic workflows. Almost none of them ask a simpler question: what happens when the electricity runs out? Or when a single cooling plant fails on a hot August afternoon in a Frankfurt data centre that your entire customer operation depends on? That question is no longer hypothetical. The physical infrastructure beneath enterprise AI is under stress from two directions at once — from a structural mismatch between AI power demand and available grid capacity, and from a climate baseline that is making the thermal assumptions behind data-centre design [...]

When AI Starts Running the Room: Five Signals From the Week of May 5, 2026

Something shifted this week. The stories aren't about AI getting smarter in a lab. They're about AI getting smarter inside your infrastructure, your vendor contracts, your security perimeter, and your cost centers — simultaneously. The organizations that treat these as separate topics will spend the next quarter firefighting. The ones that read them as a single operating-model shift will move first. The Timeline to Autonomous AI R&D Just Got a Number Jack Clark — Anthropic co-founder and one of the field's most credible forecasters — published a detailed argument this week assigning a 60%+ probability that fully autonomous AI R&D [...]

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