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Enterprise AI spending has outrun every corporate forecast in 2026. Uber burned its entire annual budget in four months. The cause is not reckless spending; it is a pricing model that enterprise finance was never built to handle.
29 House Democrats demand Altman and Amodei testify. Sanders wants a full pause. What this means for AI governance.
Ramp's 2026 data shows Anthropic at 34.4% of business AI spending versus OpenAI at 32.3%. It is the first crossover in the dataset. The signal is not that one provider is "better." It is that enterprise AI procurement is maturing into a real market with real choices.
Most teams can show AI adoption dashboards. Few can answer the question boards actually ask: "What did AI change?" Here is how to measure AI ROI using outcomes, not activity.
Every readiness diagnostic should produce a 90-day roadmap. Month 1 unblocks the critical gap. Month 2 builds adjacent capabilities. Month 3 prepares for the next lifecycle stage. The structure is simple. The discipline is what matters.
AI deployment is near-universal. AI measurement is not. Organizations run AI systems without baselines, without operational KPIs, and without feedback loops. The result; investment decisions are based on faith. Faith has a limited budget cycle.
