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Your AI strategy may be training employees to stop thinking

Researchers warn that repeated AI summarization, rewriting, and synthesis can gradually erode the original knowledge, context, and judgment that organizations depend on.

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thenextweb.com

computerworld.com

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AI · summaries

computerworld.comStai leggendo2 g fa

Your AI strategy may be training employees to stop thinking

Ricerca HBR (Holweg, Davenport): AI low-quality in scala causa "knowledge decay" — processi degradati, fiducia calante, employee meno critici. Per i CTO: governance esplicita è critica — limitare AI a ROI provato, tracciare ground truth, preferire proprietary SLM ai public LLM.

originale

thenextweb.com3 g fa

Harvard Business Review warns AI 'workslop' is rotting companies from the inside

HBR identifies 'knowledge decay': low-quality AI output costs $9M annually per 10k staff; 41% workers receive workslop, ~2h to fix each incident. For tech leaders: AI without quality controls erodes decision-making faster than headcount cuts, erasing productivity gains and ROI entirely.

Timeline cronologica

sabato 20 giugno 2026·thenextweb.com
Harvard Business Review warns AI 'workslop' is rotting companies from the inside
HBR says over-reliance on AI is causing "knowledge decay" as low-quality outputs erode trust, waste hours of rework, and degrade decision-making.
lunedì 22 giugno 2026·computerworld.com
Your AI strategy may be training employees to stop thinking
Researchers warn that repeated AI summarization, rewriting, and synthesis can gradually erode the original knowledge, context, and judgment that organizations depend on.