A recent article from Futurism points out that — after years of hype and rapid investment — the use of generative‑ and AI‑powered tools in the workplace appears to be declining. The piece cites data (via a US government survey) showing that only about 11% of workers at large companies currently report using AI to “produce goods and services” — a drop from 12% just a few weeks ago.
The slowdown seems more pronounced in small and mid‑sized firms. For businesses with 100–249 employees, 81.4% report that they have not used AI in the past two weeks; for organizations with over 250 employees the “no use” rate has climbed to 68.6%. These trends suggest that, for many firms, AI remains more of an experimental add‑on rather than a stable, integrated part of daily workflows.
The article attributes this decline in part to what some observers call “AI fatigue”: early excitement and adoption gave way to disillusionment as promised productivity gains failed to materialize consistently. In several companies the use of AI seems to have crested, only to plateau or reverse — indicating a gap between early optimism and long‑term value.
Yet the takeaway isn’t purely negative. The drop in broad adoption may reflect a phase of “sorting and consolidation,” where organizations reassess — keeping AI only in use‑cases where it truly adds value. In this sense, we may see a shift away from experimentation toward more mature, thoughtful integration of AI where it makes sense.
