u/HenryGCase

Two economists just published a mathematical proof that AI will destroy the economy.

Not might. Not could. Will!

The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence:

"At the limit, firms automate their way to boundless productivity and zero demand."

An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.

Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs which means automating more workers, which means less spending and that means more falling demand, which means more automation.

The loop has no exit.

The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.

Every single one failed in the model.

No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly:

"Within the next year, the majority of companies will reach the same conclusion."

Two economists built the math, the math leads to one place. COMPLETE COLLAPSE!

Source: Falk & Tsoukalas · Wharton School + Boston University: arxiv.org/pdf/2603.20617

One of the most egregious 'everything-will-be-OK' arguments that repeatedly gets trotted out about our future when AI & robotics can do most work, is that existing workers will be trained & redeployed by their employers. Often, people using this argument, adding extra sugar to the sugar-coating, may airly add it will be a new job they'll like more.

If you thought that sounded like bulls**t, here's some proof of how things will really play out. Meta is getting rid of everyone it can with AI, and using the rest to train their AI replacements.

No doubt META & its HR department will try to tell you differently, just like the 'don't worry' sugar-coating people. However, nothing beats what you can see happening straight in front of you with your own eyes.

Meta to cut one in 10 jobs after spending billions on AI

Meta will start tracking employees’ screens and keystrokes to train AI tools

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