60 Minutes: AI's Disputed Toll on Jobs

Summary

A 60 Minutes report on AI and work finds a booming industry paying experts to train AI, early signs of job and wage damage for young workers, and a sharp dispute between industry optimism and economist warnings of mass unemployment.

What it argues

1. Tech leaders meet TrumpPolitics

   US tech executives met President Trump in Washington to discuss AI's future, including whether it could end civilization as known. The same meeting raised the narrower question of whether AI will take people's jobs. AI's risk to jobs and society is now a direct subject of talks between industry and the White House.

2. Training AI becomes a jobEconomics

   Mercor, run by 23-year-old CEO Brendan Fudy, pays over 100,000 freelance experts $20–$200 an hour to train AI models in fields from law to music to medicine. AI training is now the fourth fastest-growing job category on LinkedIn, Fudy says. Trainers interviewed say the work is lucrative but erratic, with no benefits and unpredictable hours compared with full-time jobs. A new paid industry has sprung up around humans teaching AI to do what they do.

3. Layoffs and wage pressureEconomics

   US companies have cited AI as the top reason for layoffs this year. Hiring has slowed and wages have fallen in the most AI-exposed jobs, such as software development, hitting young entry-level workers hardest, says former Salesforce and Meta AI executive Clara Shai. Measurable job and wage damage from AI is already concentrated among younger workers.

4. Industry message shiftsEconomics

   OpenAI's Sam Altman now says the industry underestimated how much people would stay central to the economy, after earlier predicting AI would make work obsolete. Clara Shai says AI labs have an incentive to soften their message publicly but do not actually believe AI won't hurt jobs. Tech companies are recalibrating their public message on jobs even as the underlying prediction is disputed.

5. Economists clash on outlookEconomics

   Fudy says top American economists agree there will be more jobs in ten years than today, pointing to AI-training work as a model. MIT's Daron Acemoglu calls that claim false, saying AI-training jobs are too few to offset those automation will eliminate. Acemoglu warns unemployment could triple within a decade without changes to AI design and tax policy. A leading labor economist directly contradicts the optimistic jobs forecast industry figures cite.

6. Human touch defendedSociety

   Trial lawyer Kim Hurley says AI can draft and critique arguments but will never walk into a courtroom or replace the human relationship clients want with their lawyer. Music producer Robbie Hizer says AI lacks lived experience, such as a breakup, that shapes real songwriting. Acemoglu agrees such human-only tasks hold today but says he cannot say what AI will be capable of in fifteen years. Workers in law and music say their human core is safe for now, though that certainty has limits.

7. Fear and fallout spreadSociety

   Nearly three-fourths of Americans now say they fear AI is coming for their jobs, amid growing public backlash. Clara Shai, drawing on her family's experience of factory closures in 1980s Ohio, says AI-driven job loss damages self-worth and fractures communities, not just livelihoods. Public anxiety over AI and jobs is framed as a social and personal crisis, not only an economic one.

Open questions

• Whether AI training work and similar new jobs will numerically offset the jobs AI automation eliminates.
• Whether tasks seen as uniquely human today, in law and music, will remain so as AI capability advances over the next 15 years.
• What policy changes, such as tax incentives for hiring people, could prevent the unemployment rise Acemoglu warns of.
• Whether AI companies' recent public reassurances about jobs reflect their actual internal expectations.