98% of Market Researchers Use AI Daily, but 4 in 10 Say It Makes Errors — Revealing a Major Trust Problem

Why It Matters

The paradox of productivity gains versus validation burdens threatens the credibility of insights and could slow AI diffusion across knowledge‑intensive fields, while data‑privacy risks may drive firms to build proprietary, compliant AI solutions.

Summary

According to a QuestDIY survey of 219 U.S. market research professionals, 98% now use AI tools and 72% do so daily, with 56% reporting at least five hours saved per week. However, 39% say AI introduces errors, 37% cite new data‑quality risks and 31% note extra validation work, creating a trust gap. Researchers rely on AI for tasks such as multi‑source analysis, report automation and summarizing open‑ended responses, but treat outputs as drafts needing human oversight. The biggest adoption barrier is data‑privacy concerns, cited by 33% of respondents.