The layoff wave tells two stories, not one.
Tech giants like Amazon, Meta, and Microsoft are cutting to fund GPU purchases. Their revenues are growing. Their stock prices are climbing. They're firing people to free up cash for compute. This isn't cost-cutting during a downturn. It's a forced reallocation from payroll to datacenter capacity. The math is brutal: every percentage point of headcount reduction funds another batch of H100s.
Meanwhile, UPS, Nestle, Ford, and Target are cutting for the opposite reason. They've already deployed AI tools that work. Customer service automation, supply chain optimization, generative design systems. The productivity gains are real and compounding. These companies don't need to buy massive GPU clusters. They're renting inference from hyperscalers and cutting headcount because the math finally works.
Both sides are feeding the same beast. Tech companies are buying the shovels. Everyone else is buying the gold those shovels dig up. Semiconductor companies sit in the middle, collecting rent from the entire value chain. TSMC, NVIDIA, and ASML are printing money while employment craters on both ends.
The timing matters. We're at 10% enterprise AI adoption, heading toward 50%. History says this phase moves fastest and generates the most wealth. But that wealth is concentrating in compute, not labor. The gap between market cap growth and wage growth has never been wider. This isn't a recession. It's a rebalancing. And most workers are on the wrong side of it.
Recent Layoff Announcements:
1. UPS: 48,000 employees
2. Amazon: Up to 30,000 employees
3. Intel: 24,000 employees
4. Nestle: 16,000 employees
5. Accenture: 11,000 employees
6. Ford: 11,000 employees
7. Novo Nordisk: 9,000 employees
8. Microsoft: 7,000 employees
9. PwC: 5,600 employees
10. Salesforce: 4,000 employees
11. Paramount: 2,000 employees
12. Target: 1,800 employees
13. Kroger: 1,000 employees
14. Applied Materials: 1,444 employees
15. Meta: 600 employees
The labor market is clearly weakening.