UAW Warns AI Could Eliminate Manufacturing Jobs Without Regulation

The United Auto Workers union just survived one existential crisis only to face another. Electric vehicles threatened to eliminate 30,000 engine and transmission jobs, but President Trump\u2019s reversal on EV incentives temporarily saved those positions. Now Shawn Fain, the UAW president, is sounding a different alarm: artificial intelligence could render auto plants largely human-free within a decade.

Fain joined Bernie Sanders and other labor leaders on Capitol Hill last month to demand federal safeguards. The comparison to NAFTA wasn\u2019t accidental. \u201cWe\u2019ve lived through the experience of millions of people, millions of jobs being destroyed on false promises of shared prosperity,\u201d Fain said. \u201cIt was called NAFTA.\u201d The union represents approximately 150,000 workers at Ford, General Motors, and Stellantis.

According to the Michigan Advance commentary, automakers have pursued automation for decades. General Motors installed the world\u2019s first industrial robot, Unimate, in 1961. Two decades later, CEO Roger Smith spent a reported $90 billion installing robots across assembly plants. The implementation was chaotic\u2014robots at the Hamtramck plant once painted each other instead of cars.

That didn\u2019t stop the automation push. GM converted a Saginaw axle plant into a \u201clights-out\u201d factory in the late 1980s, where only humans oversaw the robots. Today\u2019s AI-enabled robots are far more capable. Lear Corp is opening a 440,000 square-foot \u201cdark\u201d factory in Oakland County to supply GM\u2019s Orion Township plant. Hyundai\u2019s $7.6 billion Georgia facility already operates with one robot for every two workers.

The Korean automaker announced plans to install AI-enabled humanoid robots by 2028. Tesla has deployed its Optimus humanoid robot in factories to learn human tasks. These aren\u2019t theoretical threats\u2014they\u2019re physical machines that will soon be welding, assembling, and moving parts on the factory floor (the kind of work that leaves your hands smelling of metal shavings and grease for days).

Automakers claim these robots will handle dangerous jobs and boost productivity. Fain isn\u2019t buying it. He\u2019s pushing for a 32-hour workweek with no pay loss, a demand likely to surface in upcoming contract negotiations. Surprisingly, Sam Altman, CEO of OpenAI, agrees with the shorter workweek concept. Altman proposed it as part of a 13-page blueprint for policymakers addressing AI disruption.

OpenAI\u2019s proposal also includes a \u201cpublic wealth fund\u201d that would invest in AI companies, with returns distributed to citizens. The company advocates for a robot tax to shift financial burden to AI firms expected to reap massive profits. Sanders introduced legislation calling for a moratorium on AI data center development until proper regulation exists. He warned that without safeguards, \u201cin 10 years the idea of a manufacturing job will no longer exist.\u201d

Industry insiders offer a different perspective. Cheryl Thompson, who spent 31 years at Ford, argues AI should make jobs easier, not eliminate them. \u201cWe need to teach people how this makes you do your job easier,\u201d Thompson said. Joe Tavares, Chief Innovation Officer at Resolute Building Intelligence, noted that quality assurance work remains difficult to automate compared to moving sheet metal.

The UAW is hosting an AI workshop on April 25 to inform members about threats and use cases in manufacturing. Stellantis announced a five-year deal with Microsoft for over 100 AI initiatives, though the automaker didn\u2019t specify workforce replacement plans. The union insists workers must have a say in how AI is implemented on the factory floor.

Whether regulators act before the robots arrive remains uncertain. The technology is already here, humming in server rooms and clanking on assembly lines. Workers will either negotiate protections or watch their jobs migrate to algorithms. Whether anyone actually pays attention to the warning is the real question.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn