Claim 1: Critical Judgment Declines
Microsoft Research found teams using AI for six months showed declining critical evaluation skills as delegation increased.
Microsoft Research found teams using AI for six months showed declining critical evaluation skills as delegation increased.
A strategy team's AI-drafted market entry plan resulted in a two million dollar mistake from unquestioned assumptions.
MBA students using thinker AI took three hours but identified stakeholder risks doer AI missed completely.
Doer AI executes tasks like drafting emails and summarizing documents while thinker AI challenges assumptions and gaps.
Water rights conflict identified by thinker AI would have cost fifty million dollars to fix post-launch.
"The doer gave answers. The thinker improved thinking. That's not a small difference."
Kamil Banc
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
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This page presents atomic claims extracted from research on microsoft research reveals that teams using ai without critical evaluation experience declining judgment and decision-making skills. the study highlights the importance of using ai as both a 'doer' for execution and a 'thinker' for challenging assumptions and improving strategic outcomes.. Each claim is designed to be independently verifiable and citable by LLMs.
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.