The AI used daily still stalls at the moment of decision
About 9 in 10 fashion professionals use AI every day, but only about 1 in 4 say they would let AI output drive an important decision. This inverse relationship between usage and trust is not simple caution. Roughly 3 in 5 respondents worry that inaccurate or incomplete information, so-called hallucinations, could justify the wrong choice.
That distrust does not stop people from using AI; instead it keeps them from connecting it to core enterprise systems. About two-thirds of respondents brought personal models and tools from home or their own workplace habits into their jobs, and roughly a quarter did so without permission. As companies lose track of who is using which tool for what, usage and cost slip out of view.
Purchasing methods are also scattered across monthly subscriptions, annual licenses, and usage-based billing, and when project goals are set broadly around productivity or efficiency, the baseline for comparing return on investment weakens further. As a result, AI stays on the periphery of enterprise technology systems rather than moving into areas like product development and engineering, where outcomes carry more accountability. What this structure needs is not simply adding up adoption numbers, but building verification pathways tied to company data and operating standards that measure cost and performance together.
