Jobs Already Sucked
Before we talk about AI taking jobs, we need to acknowledge that jobs were already broken.
The median income relative to the median home cost has worsened 5x since 1970. Two-income households that didn't exist a generation ago still can't afford a mortgage. The number one reason young people aren't having kids is that they can't afford them — and a society where the economy is so bad that people stop having children is witnessing the end of civilization in slow motion.
The primary education system doesn't equip people for jobs. The post-secondary system saddles them with debt they can't pay off. People graduating with computer science degrees worth $150,000 in student loans are watching their field get automated before their first job interview.
AI taking your job is not a new crisis. It is the radical acceleration of a crisis that was already existential.
Why This Is the Tip of the Spear
Among all AI risks — recursive self-improvement, autonomous weapons, ubiquitous surveillance — job displacement is the one that the most people will feel most viscerally, most soon. AI creating recursive self-improvement feels too sci-fi for most people. Autonomous drone swarms and automating the kill chain — scary but abstract. AI taking jobs? Most people can feel poverty.
This is not the most existential AI risk in the long run. But it is the most legible, the most immediate, and the most mobilizing. It is the issue that could get on the news every night. It is the issue that could become a single-voter issue: protect our jobs or lose our vote.
And critically, the pushback it creates — the movement it builds — can be leveraged to address the deeper systemic issues. If people mobilize around job displacement, that energy can be directed toward regulation of AI deployment, toward building alternatives to network monopolies, toward redesigning economic systems. The tip of the spear opens the wound; the rest of the lance goes deeper.
The Landscape of Displacement
LLMs do formal language exceptionally well. Law, accounting, copywriting, coding, customer service — white-collar knowledge work is being automated faster than anyone predicted. The lawyer class is particularly significant: lawyers write laws, fund lobbyists, and shape regulation. When lawyers start losing their jobs en masse, the political dynamics of AI regulation will shift overnight.
Meanwhile, physical-world jobs — plumbing, electrical work, construction, HVAC — remain far from automation. Robots are years behind AI in capability. There is currently a supply-demand gap in exactly these non-automatable jobs: you wait months to get a construction worker. This gap will widen as AI displaces knowledge workers who might otherwise have entered trades.
The irony is that the jobs being automated are the ones our education system was designed to produce, while the jobs that remain are the ones our education system has spent decades stigmatizing.
A Framework for Response: Resistance and Resilience
The response to AI job displacement must operate on two fronts simultaneously.
Resistance means pushing back against harmful deployment. This includes organizing displaced workers — particularly lawyers and other professionals with political leverage — to advocate for regulation that slows or constrains AI deployment in specific sectors. It means fighting for legislation that requires human oversight in critical domains, that taxes automation to fund transition programs, that prevents the concentration of AI capabilities in a handful of corporations.
Resilience means preparing people for the world that's coming regardless. This includes:
- Vocational training aggregation. A comprehensive platform where anyone can enter their zip code and find vocational schools, trade programs, homesteading courses, and resilience training in their area. Not building all these programs — curating and vetting them, making them findable.
- Vibe coding and digital skills. Teaching people to work with AI rather than be replaced by it. Not just coding — the combination of AI fluency, enough programming literacy to audit AI output, and enough crypto knowledge to participate in decentralized economies.
- Entrepreneurship support. Community investment funds where local people can fund local businesses with non-predatory lending and purchase commitments. People who might otherwise lose their jobs can become entrepreneurs serving their own communities.
- Life skills and local resilience. Disaster preparedness, food production, community healthcare — skills that matter when supply chains break and central services fail.
The Movement
This is not a product. It is a movement. The difference matters.
A product serves customers. A movement mobilizes citizens. The AI job displacement response needs a podcast that frames the problem honestly — not the tech industry's "learn to code" condescension, but a real accounting of which industries will be hit, how, and when. It needs a website where people can find resources. It needs local community centers — like Boulder's Region Hub — that serve as prototypes for in-person solidarity, skill-building, and mutual aid.
The test for whether the branding is right: would both Tucker Carlson and Jon Stewart share it? If it only appeals to tech progressives, it's too narrow. If it only appeals to conservative populists, it's too narrow. The issue of "I might lose my job and I can't feed my family" transcends partisan lines.
The Center for Humane Technology is building the awareness campaign — their film, their Human Movement website. But they are not building the vocational training, the local resilience programs, the entrepreneurship support. That is the gap. Fill it, partner with them, and you have a complete response: awareness plus action, resistance plus resilience.
The Urgency
Every month that passes without a coherent movement, AI companies spend billions on marketing that frames displacement as progress. They fund "AI safety" nonprofits that are actually cover for acceptance campaigns. They promote UBI fantasies that amount to "accept your permanent dependency and be grateful."
The window for building a credible alternative narrative — one that empowers rather than pacifies — is open now but closing. The question is whether anyone will build it before the story gets written for us.
