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The AI Validation Bottleneck: Why 80% AI Adoption Has Not Made Software Delivery Faster

Steve Taplin, a Forbes Councils Member, writes that despite 80% AI adoption, software delivery has not gotten faster because of an "AI validation gap" — the absence of evaluation, measurement or trustworthy feedback loops on AI initiatives. The piece attributes the stalled delivery gains to that missing validation layer rather than to the AI tools themselves.

by read1 min views24 publishedSep 21, 2026
The AI Validation Bottleneck: Why 80% AI Adoption Has Not Made Software Delivery Faster
Image: Machinebrief (auto-discovered)

By Steve Taplin, Forbes Councils MemberSource:

Forbes Innovation The AI validation gap is the absence of

evaluation, measurement or trustworthy feedback loops on AI initiatives. Get AI news in your inbox

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source & further reading
machinebrief.com — original article Nvidia Open Models Help Developers Accelerate Science And Engineering Box taps Nvidia’s AI models to build a rich context layer for autonomous enterprise agents StrongestLayer launches tools to verify payment requests and block hidden AI instructions
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