The Robot Dividend Isn't For You

Here's the interesting thing about the AI revolution: it's working exactly as designed.

TechCrunch called it a "powder keg" this week. More than 80,000 tech workers have already lost their jobs in 2026. AI now accounts for 26% of all layoffs tracked in April (the highest share ever recorded). Companies aren't struggling. They're thriving. They're just doing it with fewer people.

At the exact same moment, a small cohort of AI insiders is getting rich at a scale that's genuinely difficult to comprehend. Not just "did well" rich. We're talking about people going from six-figure salaries to net worth in the tens of millions in a matter of years. Some of them built the technology. A lot of them just showed up early, stayed nearby while the valuation graphs went vertical, and now they're buying second homes in Napa.

This isn't a coincidence.

The economic logic is simple. A company has a budget for labor. AI lets some of that labor get done cheaper. Instead of passing those savings to customers (prices are fine, actually) or to workers (so are wages, thanks for asking), companies redeploy the money to more AI infrastructure. The cycle feeds itself. More AI means more productivity. More productivity means more profit. More profit means higher equity valuations for the people who own the equity.

Here's the sentence I keep coming back to, from a workforce researcher quoted this spring: "Regardless of whether individual jobs are being replaced by AI, the money for those roles is."

Let that marinate for a second.

The money is going somewhere. It's just not going to the person who used to hold the job. Or to the person whose job was adjacent to the job that got cut. Or to the customer whose service bill stayed the same. It's going up the cap table.

There's a related story that keeps getting treated as separate: a Gartner study from earlier this year found that AI-driven layoffs aren't generating the promised returns for most companies. Firms cut the people, bought the tools, and found themselves with roughly the same output at higher cost. The automation dividend is real in aggregate. Just not at the company level, and definitely not at the worker level.

Which brings us back to the powder keg.

None of this is particularly new. The industrial revolution did this. So did the internet. The productivity gains were real, the disruption was real, and the people who owned the infrastructure captured most of the value while everyone else was told to adapt. What's different now is the speed and the transparency. People aren't watching factory jobs disappear over a generation. They're watching software engineering positions evaporate in real time, across their LinkedIn feeds, while reading headlines about Anthropic's nearly trillion-dollar valuation or how the AI safety argument has a market cap now.

That's the powder keg. Not some technical failure. Not a collapse. Just a lot of people watching wealth accumulate in very few places while being told their skills are becoming obsolete and they should probably learn prompt engineering.

Good luck with that.

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