Your Team Stopped Questioning AI Six Weeks Ago

By Kamil Banc | November 7, 2025
last verified: 2025-11-07

cat claims.txt

[1] Critical Judgment Declines

Microsoft Research found teams using AI for six months showed declining critical evaluation skills as delegation increased.

[2] Two Million Dollar Oversight

A strategy team's AI-drafted market entry plan resulted in a two million dollar mistake from unquestioned assumptions.

[3] Thinker AI Surfaces Risks

MBA students using thinker AI took three hours but identified stakeholder risks doer AI missed completely.

[4] Doer Versus Thinker Roles

Doer AI executes tasks like drafting emails and summarizing documents while thinker AI challenges assumptions and gaps.

[5] Fifty Million Dollar Finding

Water rights conflict identified by thinker AI would have cost fifty million dollars to fix post-launch.

cat evidence.txt

quote

"The doer gave answers. The thinker improved thinking. That's not a small difference."

Kamil Banc
statistics
  • 6 months

    Time period after which Microsoft Research measured measurable decline in teams' critical evaluation skills when using AI

  • $2M mistake

    Cost of strategy team's AI-drafted market entry plan that went unquestioned during review process

  • 90 minutes vs 3 hours

    Group A using doer AI delivered in 90 minutes; Group B using thinker AI took 3 hours but identified critical risks

  • $50M estimated fix cost

    Post-launch cost to address water rights conflict that thinker AI identified during planning phase

sources
cite: kbanc.com/claims-library/team-stopped-questioning-ai

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context

Microsoft Research tracked teams over six months to measure the impact of AI delegation on critical thinking capabilities. Professor Leon Prieto conducted controlled experiments with MBA students using a cobalt sourcing case study, comparing outcomes between doer AI and thinker AI approaches. Microsoft developed a spreadsheet prototype that generates provocations challenging its own outputs, creating deliberation loops rather than approval loops. Capgemini built three prototypes for leadership development, platform strategy, and multi-stakeholder innovation, each designed to question rather than confirm assumptions. The recommended implementation approach combines doer AI for execution speed with thinker AI for strategic decisions requiring assumption testing.

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