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Librarians are hosting viral ‘Avoiding AI’ workshops for people who are fed up with Big Tech

Public libraries are seeing record attendance for workshops on how to strip AI from daily life, signaling a growing consumer fatigue that builders can no longer afford to ignore.

Originally on TechCrunch AI
AB

Adrian Boysel

Contributor

Jul 25, 2026

4 min read

Photo illustration / STKR News

We have reached the point in the hype cycle where the average person isn't just confused by AI; they are actively trying to excise it from their lives like a digital parasite. Across the country, public libraries are reporting massive turnout for a new kind of curriculum: How to avoid AI entirely.

For those of us building in this space, it is a sobering reality check. We spend our days debating model weights, latency, and agentic workflows. Meanwhile, the people we are supposedly building for are attending workshops to learn how to turn off Google's AI Overviews and find search engines that don't hallucinate. It is not a movement of Luddites, but a movement of the exhausted.

The Library as a Battlefield for Sanity

Librarians have always been the frontline defenders of information integrity. Now, they are becoming the tech support for a population that feels gaslit by Big Tech. These workshops aren't just teaching people how to flip a switch in a settings menu. They are teaching a fundamental skepticism of the modern web.

People are showing up because the tools they once trusted for basic utility—search, email, and social media—have become cluttered with low-quality, AI-generated noise. When a mother can't find a reliable recipe without scrolling past a machine-written hallucination that suggests putting glue on pizza, the technology hasn't just failed; it has become an obstacle.

The viral nature of these workshops suggests that the 'AI everywhere' strategy adopted by Microsoft, Google, and Meta is experiencing a significant social rejection. Builders need to pay attention. If your product's primary feature is currently being taught as something to be 'avoided' in a community center, you don't have a product-market fit problem. You have a reputation problem.

The Founder's Blind Spot

As founders, we often mistake adoption for preference. We see the charts showing millions of people interacting with LLMs and assume the world is ready to automate everything. What we miss is that much of this 'adoption' is forced. Users didn't ask for AI to be integrated into their word processors or their search bars; it was simply pushed through an update.

This is where the skepticism comes in. The feedback loop for many AI startups is currently an echo chamber of early adopters and VCs. The library workshops represent the 'silent majority'—the people who actually pay for services or provide the data that fuels these models. They aren't impressed by the novelty. They are frustrated by the friction.

The biggest risk to the AI industry isn't regulation; it is the loss of user trust. Once a user decides that an AI tool is more work than it is worth, winning them back is nearly impossible.

We are seeing a clear divide between 'Pro-Builder' AI and 'Pro-Consumer' AI. Most current implementations are Pro-Builder—they exist to show off what the tech can do or to boost stock prices. They rarely solve a problem that wasn't already solved by a simple UI or a human-curated list.

Why Personal Agency is the New Premium

The demand for these 'Avoiding AI' classes highlights a growing desire for personal agency. People want to feel in control of their digital environment. When an AI makes a decision for them, or summarizes a text without their permission, it strips away that agency.

For builders, the takeaway is clear: opt-in is better than opt-out. If you are building a tool that uses generative AI, make the AI a silent partner that the user can summon, not a loud navigator they have to fight to ignore. The next wave of successful startups won't be the ones that add the most AI; they will be the ones that use AI to give time and control back to the human at the keyboard.

The Opportunity for Honest Builders

If people are actively looking for ways to bypass AI, there is a massive market opening for 'clean' tech. This doesn't mean we stop using models. It means we stop using them as a crutch for poor product design.

  • Transparency: Clearly label what is generated and what is verified.
  • Utility over Novelty: If a task takes three clicks with AI but one click without it, delete the AI feature.
  • Respect the User: Don't force a chat interface on someone who just wants to find a file.

The librarians are giving us a map of where our products are failing. They are documenting the points of friction and the moments of distrust. Instead of dismissing these workshops as a temporary pushback, founders should be looking at the curriculum to see what people hate most about current implementations.

The Takeaway

The surge in 'Avoiding AI' workshops is a signal that we have overshot the mark on integration and undershot on actual value. We are building in a bubble, and the air is getting thin. If you want your company to survive the inevitable cooling of the AI hype, start building for the people sitting in those library basements. They aren't against progress; they are against garbage. Build something that respects their time and their intelligence, and you won't have to worry about them trying to figure out how to turn you off.


Read the original at TechCrunch AI →

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