Open any product launch from the last eighteen months. Count how many times you see "AI-powered." Did you feel anything? Excitement? Or did your eyes glaze over the way they do when someone says "synergy" in a meeting?
The two most valuable letters in technology have become the two cheapest. "AI" no longer communicates capability. It communicates that someone in marketing read a trend report and decided the landing page needed a buzzword. But the anger people feel when they see it isn't really about artificial intelligence. It's about something much older.
The Pattern
Every few decades, a genuine capability emerges and the same machine activates. The capability gets named, the name gets marketed, and the marketing promises that this time life is about to get easier for everyone. Then the capability gets productized, the benefits flow upward, the labor implications flow downward, and ordinary people are left holding a subscription they didn't ask for to a service that replaced something that used to work fine.
The personal computer was going to liberate the worker. The internet was going to democratize information. Mobile was going to make everything accessible. Cloud was going to eliminate complexity. Each one delivered something real, and each one was immediately captured, enclosed, and sold back to the people it was supposed to help.
You can use a computer now, yes. You use it to do the work of three people. The internet did democratize information, and then five companies consolidated it behind algorithmic feeds designed to sell your attention. Your phone made everything accessible, including your employer's expectation that you're reachable at 11 PM.
AI follows the same trajectory. The technology is real. And the primary use case, so far, has been to reduce headcount, automate the jobs of people already stretched thin, and charge everyone else a premium for tools that hallucinate 15% of the time. People aren't stupid. They've seen this movie before.
The Promise That Never Lands
There's an unspoken contract that's been running since the early 1980s: technology will make your life easier. Each new wave arrives with the implicit promise that the burden is about to lift. You'll work less. Things will cost less. You'll have more time and more control.
Productivity in the United States has increased roughly 70% since 1980. Wages, adjusted for inflation, have barely moved. The average American works more hours, carries more debt, and has less economic security than they did forty years ago. Every wave of technology made the economy more productive. Almost none of that productivity flowed to the people doing the work.
This is the context that "AI" lands in. Not a blank slate. A population that has been promised relief by technology for four decades and watched the gains go somewhere else every single time. When someone sees "AI-powered" and feels a flash of anger, they're not angry at neural networks. They're angry because the last ten promises that looked like that one didn't make their life better.
What People Are Actually Angry At
The backlash against AI is real, but the target is wrong. The technology is genuinely useful. The problem is what happens to every technology once it enters the market.
A breakthrough happens in a lab. Companies race to wrap it in a subscription. The first wave of products genuinely improves things. The second wave is a gold rush of clones and wrappers. The third wave is cost-cutting, where the technology that was supposed to help you now replaces you, and the savings go to shareholders.
This isn't unique to AI. It's what capitalism does to capability. Every tool that could reduce the burden of work instead gets used to reduce the cost of labor. Reducing the burden means you work less and keep the same quality of life. Reducing the cost of labor means someone else profits from the fact that a machine can now do what you used to do.
When an artist sees "AI-generated" art, the anger isn't about pixels. It's about the knowledge that their years of skill development are being compressed into a product that costs $20/month, and the value of that compression goes to the platform, not to them.
Novelty Fatigue
Americans have a specific relationship with novelty. The country was built on the promise of the new. Innovation isn't just an economic strategy; it's a cultural identity. The next thing is always going to be the thing that makes it all work.
But forty years of "the next thing" without material improvement has a cumulative effect. Each new technology gets a slightly shorter window of excitement and a slightly longer tail of skepticism. The microwave oven was transformative. The smartphone was transformative. "AI-powered email sorting" is not transformative, and everyone knows it.
The fatigue isn't with novelty itself. It's with novelty as a substitute for structural change. New technology keeps arriving, and the fundamental problems (housing costs, healthcare, work-life balance, economic security) don't move. At some point, people stop blaming the specific technology and start questioning the system that keeps producing new tools without producing new outcomes.
The Real Conversation
The conversation about AI isn't really about AI. It's about who benefits when a new capability enters the economy. It's about whether the next wave of technology will follow the same pattern as every wave before it: enormous productivity gains captured almost entirely by capital, marketed to the public as liberation, experienced by the public as pressure.
The technology is extraordinary. The anger is legitimate. And the two are going to coexist for a long time, because the problem was never the technology. It was always the system it gets deployed into.
People aren't anti-AI. They're anti-another-promise-that-isn't-for-them.
Wise Mountain builds software tools where the technology serves the work, not the marketing. See what we're building.