More people are trying to use less AI, but avoiding it altogether may already be impossible.
A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.
Deleting a chatbot app only removes the most obvious form. People have far less control when automated systems sit inside workplace software or services they already depend on.
Why are people cutting back
Privacy is the clearest reason people are drawing boundaries. Twenty-nine percent cited concerns about data privacy, security, and compliance, making it the most common reason for limiting AI use.
Another 22% preferred to keep working the way they already do. Lack of skill wasn’t the main obstacle. Many respondents understood the technology and still decided it didn’t belong in their routine.
That cuts against the industry’s favorite assumption that resistance fades once people become familiar with AI. Some users understand what these tools offer and still don’t think the tradeoff is worth it.
Can opting out still count
Consent gets weaker when people can’t tell where AI is operating or what information it’s processing. Choosing not to open ChatGPT is easy. Avoiding automated decisions inside another service is much harder.
People can reject the visible tools while hidden systems keep running in the background. A meaningful opt-out would need clear disclosure, usable controls, and an alternative that doesn’t punish anyone for declining.
Without those choices, AI exposure becomes the default. Consent then starts looking more like a buried settings menu than an actual decision.
Why the backlash may keep growing
Public sentiment is already shifting. The share of UK adults who believe AI carries more risks than benefits rose from 48% in 2023 to 52% in 2026. Those seeing more benefits fell from 38% to 34%.
Gen Z makes the picture even messier. Younger adults use AI more often, but they’re also more likely to restrict it and worry about the risks.
Employers and tech companies now have a blunt warning. Clear disclosure and practical opt-outs may decide whether caution stays manageable or turns into wider rejection.
