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Management magazine published by Harvard Business School, covering business strategy, leadership, and workplace research and trends.
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USC researchers surveying 604 daily AI users found the least trusting quarter about four times as likely as the most trusting to have hidden their methods. The data are correlational, so they show who holds back but not whether building trust would change it.
Reality
Daniel Jabaraj's Forbes column pairs Gartner's abandonment forecast with MIT's zero-return finding to argue that AI programs fail on business framing. One study counts projects and the other counts companies.
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A Harvard Business Review study finds early AI-driven cuts often missed their expected returns and exposed knowledge gaps, while a University of Pittsburgh analysis puts the average market reaction to those announcements close to zero.
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Sam Altman says AI adoption is slower than he expected. Meta has dropped a plan to cut some teams by up to 60 percent. In both accounts, the scarce resource is people who can map real work onto what agents can actually do.
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Clay and Polarstep have both published rules for AI-written internal documents. The interesting part is the arithmetic Synthesia's cofounder used to justify his own memo.
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A dev.to essay argues the five minutes you save answering a junior from a chat window comes back as a capability gap about a year later. Two 2026 studies describe the same drift.
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Missouri's AI Non-Sentience and Responsibility Act died unanimously in committee. Its text is still the clearest map of where a companion app's next legal constraint would land.
Reality