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REPORT
27 JUL 2026
AI · public attitudes

42% of UK adults are deliberately limiting their use of AI

The top reason is privacy and security, not confusion. Just 6% of those cutting back say they feel unprepared to use the technology.

42%
of UK adults deliberately limit how much AI they use1
70%
think it would be difficult or impossible to avoid AI exposure entirely1
6%
of limiters cite feeling unprepared as their reason — the least-picked option1
What the data shows

Nearly half of Britons are pulling back — and privacy, not confusion, is why

A survey of 2,055 UK adults for King’s Digital Futures Institute and Responsible AI UK finds that 42% deliberately limit how much AI they use; 46% say they don’t, and 12% don’t know.1 Use is common — 46% use tools such as ChatGPT, Claude, Gemini or Copilot weekly, and 32% don’t use AI at all1 — so pulling back is mostly a choice, not a gap left by people without access.

Limiters were asked to pick the single most important reason. Privacy, security and compliance concerns led by a wide margin, ahead of a simple preference to keep working the way they already do.1

Exhibit 01
Why people who limit their AI use say they do it
Source: Deltapoll survey for King’s Digital Futures Institute & RAi UK, 12–15 Jun 2026, n=2,055 UK adults; reasons question base is the 42% who report limiting use (n≈863). Single most-important reason, forced choice.1
Key finding. Only 6% of people who limit their AI use say it’s because they don’t feel prepared to use it effectively — the least-picked reason on the list. This isn’t a skills gap; it’s a deliberate choice.1
The Gen Z paradox

The people most confident with AI are also the most likely to limit it

Gen Z use AI more regularly than Millennials or Boomers, and 93% call themselves “very” or “fairly” confident using it — yet they are the age group most likely to limit their use.1 Confidence and comfort aren’t the same thing: even among daily AI users, more than a third still say it carries more risk than benefit.1

The pattern holds economy-wide. Between October 2023 and June 2026, the share of adults who see more risk than benefit rose 4 points, 48% to 52%, while those seeing more benefit than risk fell 4 points, 38% to 34%.1 Belief in personal benefit moved both ways at once — agreement rose 6 points (32% to 38%) but disagreement rose faster, 8 points (19% to 27%) — a drift away from the middle, not a swing to one side.1

What we don't know

This is the survey’s initial data release; the full academic paper and open dataset are still pending, so the 42% figure has not yet been independently replicated by a second UK survey using the same question. “Limiting” use is self-reported and self-defined — the survey doesn’t measure actual usage logs, and given 70% of adults think avoiding AI exposure entirely would be difficult or impossible, some self-reported “limiters” may still be using AI-embedded tools without registering it as AI use. The reasons question forced a single “most important” choice, which likely understates how often privacy and habit act together. The Oct 2023 comparison point comes from a differently-commissioned survey (the government’s Centre for Data Ethics and Innovation) using the same pollster and question wording, which supports the comparison but isn’t a like-for-like replication.1

Caveat. The strongest objection to reading this as a settled "AI backlash": self-reported avoidance intentions can diverge from actual behaviour, and a single-wave survey can’t show whether today’s 42% is a stable position or a snapshot mid-swing.
Go deeper

Read more

Method. All percentages are as reported in the source survey; no figures in this piece are modelled, projected or estimated. The Exhibit 01 "all other reasons" bar aggregates seven smaller categories (not permitted at work 5%, no workplace access 3%, no time to learn 3%, not useful 2%, cost 1%, other 1%, don't know 3%); the aggregation and all percentage-point deltas in the text were computed and checked in Node.js against the source table before publication. Margin of error (95% CI, unweighted approximation) is ±2.1 points on the 42% headline figure (full sample, n=2,055) and ±3.0 points on the reasons breakdown (limiter sub-sample, n≈863); the underlying data are weighted by the pollster to be nationally representative, so true error bands will differ slightly from this approximation.
Sources. Numbered, highest tier first; each inline citation points here.
  1. T1Devlin, K., Stilgoe, J., Orchard, D. & Peter, O. AI: the growing UK pushback — research briefing and initial findings. King’s Digital Futures Institute & Responsible AI UK, 10 Jul 2026. Survey by Deltapoll, fieldwork 12–15 Jun 2026, n=2,055 UK adults, weighted to be nationally representative. rai.ac.uk/reports/ai-the-growing-uk-pushback (DOI 10.18742/pub01-262), retrieved 26 Jul 2026.
Corrections. None. Material corrections will be logged here with date.
Figures to 27 Jul 2026. Noodle News · v1.0 · uk-ai-avoidance.