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Enterprise AI

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 [...]

AI Is forcing a new Buy vs Build decision in enterprise software

Better AI models have changed how I use software. The interesting part is not the tools themselves, but the decision logic behind them. Features I used to pay for are now solved by general-purpose models. Grammar fixes, image editing, research, and simple analytics can often be done faster and cheaper without dedicated SaaS tools. This matters because most SaaS products still sell features, not outcomes. When a feature can be replicated with an LLM in hours, its standalone value collapses, especially during renewal cycles. That is when finance asks a simple question: what business outcome justifies this subscription? I see [...]

By |2026-01-27T12:45:23+01:0027 January 2026 |Categories: AI, Business strategy|Tags: , , |0 Comments
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