AI keeps getting stronger — so why aren't companies shipping faster?
This is a commentary piece on organizational collaboration and AI adoption: starting from the gap between solo developers and team delivery, the author argues that AI surfaces demo-ready output earlier, while the real finishing work — permissions, data, exception handling and acceptance criteria — has not disappeared and is easily undercounted. It cites "Shifting Work Patterns with Generative AI" (66 firms, 7,137 knowledge workers, a six-month randomized field experiment), which found users of the tool cut roughly two hours of email time per week but detected no change in task volume or composition, plus a September 2026 WorkWorlds preprint (192 paired evaluations, 76.7% vs 68.0% pass rates) and a 2025 Procter & Gamble field experiment with 776 professionals. The author urges firms to track end-to-end task time from request to acceptance and to separate missing expertise from missing decision authority.
It argues that stronger models only speed up execution; without changes to requirements, review and decision-making, the saved time may not become faster delivery.