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Bridging the AI Chasm

95% failure, $252.3B investment, Great Divergence, econometric simulations, and phased roadmaps.

95% of AI initiatives fail despite $252.3B invested globally. The Great Divergence shows 7.7–20% junior hiring drops while senior roles increase. Econometric simulations project 2030 scenarios with varying adoption rates. Phased roadmaps provide practical frameworks for equitable AI integration, addressing both technical implementation and human factors to bridge the gap between AI potential and realized value.

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Practice prompt

Re-write your Bridging the AI Chasm prompt with explicit success criteria and critique instructions.

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Run the Analyzer pack twice (manual vs. AI) and compare the Overestimation Δ.

Common pitfall

Skipping reviewer verification time hides the real cost of rework and hallucinations.

Key takeaways

  • Run a manual vs. AI comparison to see actual lift.
  • Capture Overestimation Index and micro-TLX together.
  • Document what “good” looks like so teams can replicate it.

See it in action

Drop this into a measured run—demo it, then tie it back to your methodology.

Next Steps

Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.

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