Key Takeaways

  • The Economist estimates AI has created roughly 1 million new jobs in the United States since mid-2023, while causing only 200,000 layoffs.
  • AI-related layoffs average about 16,000 per month, representing less than 1% of the 1.7 million monthly job losses across the US economy.
  • On September 4, the Bureau of Labor Statistics reported 162,000 jobs added in August, with unemployment at 4.1%, lower than nearly 90% of months over the past 50 years.
  • Capital investments that increase worker productivity historically expand labor demand across adjacent sectors rather than shrinking total employment.

The 1% Myth and the 1 Million Job Reality

Every tech headline for the past two years warned that software engineers, writers, and paralegals were about to be permanently replaced by large language models. The macroeconomic data tells the opposite story.

As John Coogan noted on TBPN, “lots of craziness in the AI world, lots of new models, but the jobs apocalypse has been officially postponed by the economist. An AI jobs boom is here.”

American businesses have announced roughly 16,000 AI-related job cuts per month this year. Put that number in context. In any normal month, the American labor market churns through 1.7 million job separations while adding 1.8 million new roles. AI-attributed cuts account for less than 1% of regular monthly churn.

Meanwhile, The Economist calculates that AI expansion has already generated roughly 1 million new roles across infrastructure, hardware deployment, operations, and software development since mid-2023. That outweighs the 200,000 total layoffs tied to AI by a ratio of five to one.

Basic Economics Beats Apocalyptic Sci-Fi

Tech doomsayers forgot how competitive markets operate. When a new technology makes workers more productive, the cost of output falls. Lower costs increase consumer demand. Increased demand requires companies to buy more infrastructure, expand operations, and hire more people to handle downstream volume.

Coogan highlighted economist Kevin Bryan's reaction to the findings: “Kevin Bryan summed it up well. He said, 'I am shocked. Shocked.' So he's being sarcastic, of course, shocked to find out that a productivity enhancing investment supporting technology is good for workers. Knowing nothing else, this should be your prior because this is how productivity and competitive markets almost always works.”

On September 4th, the Bureau of Labor Statistics reported 162,000 jobs added in August alone. Total unemployment sat at 4.1%. That rate is lower than roughly 90% of all months recorded over the past 50 years. If AI were gutting the white-collar labor force, young worker unemployment would spike and aggregate hiring would stall. Instead, businesses are pouring capital into data center buildouts, power generation, chips, and tooling teams.

When you make a core task ten times cheaper, the world does not simply consume the same amount of output with one-tenth of the staff. The world consumes one hundred times more of it, creating entirely new categories of work around it.

What to Do With This

Audit your product roadmap and team plan for the next two quarters. Stop building purely defensive software designed only to trim headcounts by 5%, and start building tools that help single operators handle 10x larger pipelines. Price your software around expanded volume rather than seat reduction.