Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
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 — which means more falling demand — which means more automation.
The loop has no natural 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.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. 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."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
Jeff Bezos reveals why he thinks AI will cause a labor shortage, not mass unemployment
"There's so many people who are afraid AI is going to take their job. I think there's going to be a labor shortage as a result"
"All these smart people keep saying there's going to be no more radiologists because AI can read X-rays better, no more software engineers because AI can program better. These people are wrong"
"What's really going to happen is it's going to elevate all of these people. You've been digging out a basement with a shovel, and somebody is about to hand you a bulldozer"
"We're going to have so much productivity that a lot of people with two-earner income households, one of them is going to drop out of the workforce"
"I predict we will actually have deflation of certain core things. Food will get cheaper and housing construction will get cheaper"
【展示会出展速報】フラグメント [ AI博覧会Spring2026 ]
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展示会名:AI博覧会Spring2026
会場:東京国際フォーラム
開催期間:2026-04-07~2026-04-08
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【en】 Fragment, exhibiting at AI Expo Spring 2026, is participating under the theme "Achieving Maximum Results with Limited Resources." Specialized staff are on hand to welcome visitors and provide the latest information. Why not speak to our exhibitors?
【zh】 Fragment公司将参加2026年春季人工智能博览会,主题为“以有限的资源实现最大的成果”。届时将有专业人员在现场接待参观者,并提供最新资讯。欢迎与我们的参展商交流!
【ko】AI 박람회 Spring2026에 출전된 프래그먼트는 이번 테마를 '제한된 리소스로 최대의 성과를 낸다'로 출전하고 있습니다. 전문 직원이 고객을 맞이합니다. 최신 정보를 얻을 수 있습니다. 출전 스탭에게 말을 걸어 보는 것은 어떻습니까.
【de】 Fragment, Aussteller auf der AI Expo Spring 2026, präsentiert sich unter dem Motto „Maximale Ergebnisse mit begrenzten Ressourcen“. Fachpersonal steht Ihnen gerne zur Verfügung und informiert Sie über die neuesten Entwicklungen. Sprechen Sie doch einfach mit unseren Ausstellern!