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TLDRocket
23 October 2026
AI’s most persistent theme today wasn’t model performance—it was what happens after the demo. Forrester found only 15% of AI decision-makers saw earnings improve over the prior 12 months, a sign that deployments stall in the “valley of despair” where reviews, approvals, testing, security, and deployment still run on slow, human timelines. The fix, the argument goes, is less about faster prompts and more about redesigning the workflow around measurable revenue, efficiency, or risk outcomes, then tracking cost-per-result instead of hopeful pilot metrics.
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