Production AI at scale — operating models, MLOps, vendor evaluation, AI maturity, and the organizational changes required to move from pilot to production.
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 [...]