Christian Ullrich
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Measuring speed pushes teams to produce shallow work
Expectation claims that ChatGPT improves decision quality, yet reality shows it accelerates shallow output.
Apr 24
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When reuse is not visible, teams cannot learn from ChatGPT usage
People expect improvement, yet performance stays flat.
Apr 23
When leaders delegate ChatGPT use, they lose control over outcomes
Leaders expect that delegating the use of ChatGPT preserves control, but in practice, it removes it.
Apr 22
2
Lower effort creation produces more output than teams can evaluate
Faster output should improve decisions, yet ChatGPT often degrades them.
Apr 21
Unsystematized ChatGPT Use Cases Never Spread
People expect widespread adoption, yet effective use of ChatGPT remains isolated.
Apr 20
Polished Language Drives Faster Agreement but Weaker Decisions
Better wording promises clearer thinking, yet it often produces the opposite outcome.
Apr 15
Polished Outputs, Worse Decisions
People expect better prompts to improve outcomes, yet results stay unchanged or even degrade.
Apr 14
Training Feels Effective but Leaves Work Unchanged
People expect training to translate directly into improved use, yet daily behavior snaps back to old routines.
Apr 13
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Christian Ullrich
Christian Ullrich writes about how organizations actually use ChatGPT, the wrong decisions they make, and their consequences.
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