Nexus Institute for Work and AI: Research Deep Dive · 2026-07-30 · 59 min
This research explores why generative artificial intelligence has yet to produce significant economic productivity gains despite widespread corporate adoption. The research argues that simply giving employees AI tools fails because it ignores measurement complexities, hidden costs, and the risk of quality degradation known as "workslop." To capture real value, organizations must move away from focusing on individual task speed and instead prioritize comprehensive process redesign. This transformation requires specialized training, rigorous quality governance, and a shift in leadership mindset toward long-term capability building. Ultimately, the research suggests that AI's potential is only realized when it is deeply integrated into reimagined workflows rather than treated as a simple plug-and-play solution. See Privacy Policy at and California Privacy Notice at
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