If you’ve wondered why AI initiatives stall after impressive pilots, 2025 gave the clearest answer yet: the bottleneck is operational reality, not model capability. 2025 was the year the “AI gap” became visible: massive excitement and spending on one side, and stubbornly limited production impact on the other. The recurring pattern across reports: AI stalls when it’s treated as a tool rollout instead of an operating-model redesign. Signals from 2025 Why AI Stalls What Works Tanium in 2025 Where the Book Helps Conclusion 1) The 2025 signals were loud Across industries, the story repeated: plenty of pilots, fewer scaled deployments,…
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