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2026-09-16 · Source：ZDNet
Fresh ZDNet polling sketches where workplace AI stands this year, weighing how employees use the technology against how much they trust it — and where uptake lags.
ZDNet has published a polling-based roundup taking stock of artificial intelligence in the workplace in 2026, framing the year's adoption picture through the lenses of trust, usage and related workplace measures. The report, part of ZDNet's innovation coverage, positions itself as a reality check on enterprise AI — cataloguing not only what workers are doing with the technology but also, per its headline, what they are not.
The usage half of the equation is where the polling stakes its headline. Rather than measuring abstract interest, the survey digs into concrete work applications — the tasks employees hand to AI tools in 2026 and, just as telling, the tasks they still keep for themselves. That negative space, flagged in the report's title, matters: the gap between what AI could do and what workers actually delegate is a key variable for anyone tracking adoption.
Trust is the second pillar. The polling tracks worker confidence in AI alongside usage figures, a pairing that speaks to a wider industry tension: adoption curves mean little if the people using the tools do not rely on their output. By measuring both dimensions in the same survey, ZDNet's dataset allows the two to be read against each other rather than in isolation — a more demanding test than usage statistics alone.
For AI-compute buyers and investors, workplace adoption surveys of this kind function as downstream demand indicators. Employee usage patterns — which applications scale, which stall — ultimately feed the enterprise procurement decisions that drive accelerator and data-center capacity planning. A 2026 snapshot that separates genuine usage from aspiration, and usage from trust, offers a cleaner signal than headline adoption percentages.
The full ZDNet report lays out the polling detail across trust, usage and further measures of AI at work. For readers tracking how AI settles into daily working life this year, it serves as a benchmark against which later 2026 data can be judged.
Mots-clés: ZDNet · AI Adoption · Workplace AI · AI Trust · Enterprise AI
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