But AI is different in two ways. First, it's general purpose technology that can potentially replace cognitive work across many industries simultaneously. An assembly line robot replaces manufacturing jobs, but those workers could retrain for service jobs. What happens when AI can do writing, coding, analysis, design, and customer service? Where do those workers go?

Second, the gains from AI are accruing to capital, not labor. Oracle's shareholders benefit from higher margins. Nvidia shareholders benefit from selling AI chips. OpenAI investors benefit from increasing valuations. But the Oracle employees who lost their jobs? They're competing in a job market where more companies are making similar cuts.

This matters for investors, not just workers. If AI-driven productivity gains flow primarily to corporate profits rather than wages, that has macro implications. Consumer spending drives 70% of US GDP. Consumer spending requires income. If millions of workers see stagnant wages or job losses while corporate profits surge, where does the consumption come from to justify those profits?

We've seen this movie before. In the 1990s and 2000s, automation and offshoring boosted corporate profits while hollowing out manufacturing towns across the Midwest. The economic gains were real, but they were unevenly distributed. Corporate shareholders did great. Workers in affected industries did not. The political consequences of that distribution played out over decades.

The difference now is the speed and scale. Manufacturing decline took 30 years. AI could disrupt white-collar work in 5-10 years. And unlike manufacturing, which was regionally concentrated, white-collar jobs are everywhere—including in expensive coastal cities where tech workers thought they were insulated from automation.

What should investors make of this? In the short term, companies cutting costs while increasing productivity will see margin expansion, which is bullish for stock prices. Oracle stock has held up reasonably well despite the layoffs. That's rational—Wall Street rewards efficiency.

In the medium term, though, watch for signs of the productivity paradox hitting growth. If too many companies cut too many jobs too fast, aggregate demand suffers. That's deflationary, which sounds good until you realize it comes with recession risk. Companies can't grow earnings indefinitely by cutting costs—eventually they need revenue growth, which requires customers with money to spend.

The longer-term question is political. How long will democratic societies tolerate an economic model where productivity gains flow overwhelmingly to capital while labor sees stagnant or declining fortunes? History suggests: not forever. Whether that takes the form of stronger unions, wealth taxes, universal basic income, or something else is uncertain. But policy will adapt.

For Oracle employees facing layoffs, the advice is cold comfort: upskill, pivot to roles that are harder to automate, or find industries less exposed to AI disruption. For investors, the play is more complex. Bet on companies capturing AI productivity gains in the short term, but hedge against political and consumer demand risks in the long term.

And maybe, just maybe, ask whether an economy that produces higher corporate profits alongside widespread job insecurity is actually efficient in any meaningful sense—or whether we're just calling it efficiency because shareholders benefit.

If they can't explain how AI creates broadly shared prosperity rather than concentrated wealth, they're probably hiding something—like the fact that their "efficiency improvements" mean your job is next.