While AI is proliferating across the workplace, it is introducing a new productivity paradox: While the technology makes work feel faster, it actually pushes more burden onto employees to provide context, perform quality checks, then rinse and repeat across numerous disparate tools.
This, according to a new survey of 6,000 full-time digital workers by Glean’s Work AI Institute, results in two emerging behaviors: “botsitting,” all the unrecognized work that goes into making AI actually usable; and “botshitting,” shipping AI-generated work that is unverified, not that well understood, or perhaps not even trustworthy. The survey report was co-authored by experts from Work AI Institute, Emory University, Stanford University, UC Berkeley, UC Santa Barbara, UNC Charlotte, University College London, and University of Notre Dame.
“It’s definitely in many ways a vicious cycle that feeds itself,” said Rebecca Hinds, head of Glean’s research center the Work AI Institute, a research collaborative
Microsoft's restriction highlights the tension between AI safety measures and corporate data privacy, impacting enterprise AI adoption.
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The partnership could reshape enterprise AI adoption, intensifying competition among cloud providers and potentially driving innovation and job creation.
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The expanded partnership accelerates enterprise AI integration, enhancing governance and operational efficiency, crucial for digital transformation.
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ARMONK, N.Y. and SUNNYVALE, Calif., June 4, 2026 – IBM and Google Cloud today announced the launch of a new Google Cloud Practice, designed to help organizations more quickly scale […]
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The new model shows leaps in open-source agentic capabilities, delivering 91% of frontier-model performance on key metrics like completeness MOUNTAIN VIEW, Calif., June 4, 2026 — Glean today announced support […]
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Cloud data giant Snowflake has committed $6B to AWS through 2032, reflecting growing confidence in future demand for its platform. The deal is the latest example of how the biggest […]
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Insider Brief The individual cases get the headlines – someone marrying a chatbot, a teenager developing an emotional attachment to ChatGPT, a music producer convinced an AI is sentient. These stories are easy to dismiss as edge cases. For enterprise AI operators and founders, that might be the wrong response. The same psychological patterns driving […]