Sitemap - 2026 - Christian Ullrich

Measuring speed pushes teams to produce shallow work

When reuse is not visible, teams cannot learn from ChatGPT usage

When leaders delegate ChatGPT use, they lose control over outcomes

Lower effort creation produces more output than teams can evaluate

Unsystematized ChatGPT Use Cases Never Spread

Polished Language Drives Faster Agreement but Weaker Decisions

Polished Outputs, Worse Decisions

Training Feels Effective but Leaves Work Unchanged

ChatGPT Stalls When No One Owns It

ChatGPT Access Without Structure Produces Fragmented Use

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