Here's a problem the AI trade hasn't fully priced in: you can't ship chips you can't manufacture. Demand for AI processors keeps climbing, but Taiwan Semiconductor Manufacturing Co. (TSM) is bumping up against something no amount of investor enthusiasm can solve—physical capacity limits.
When supply becomes the constraint instead of demand, everything about the power structure in semiconductor markets starts to shift. And that shift is happening right now.
The Gatekeeper Says No
According to The Information, TSMC has delivered some uncomfortable news to Nvidia Corp. (NVDA) and Broadcom Inc. (AVGO): it can't provide all the production capacity they're requesting. For an AI cycle built on the assumption that manufacturing could scale indefinitely, this is more than an inconvenience.
TSMC has dominated advanced semiconductor manufacturing for years. If you designed a cutting-edge chip, TSMC could build it. But the AI wave changed the equation. Advanced-node capacity is finite, fabrication lead times stretch across quarters, and every hyperscaler wants priority access at the same time.
When the world's premier foundry says "we're maxed out," customers don't simply cancel their AI infrastructure plans. They start hunting for alternatives.
Intel's Unexpected Second Act
Enter Intel Corp. (INTC), which suddenly looks interesting again. Intel doesn't need to beat TSMC at its own game to win here. It just needs to be the release valve for an overheated supply chain.
Through Intel Foundry Services, the value proposition is straightforward: available capacity, manufacturing diversification outside Taiwan, and alignment with U.S. chip policy. When you're staring down multi-quarter production delays at TSMC, "available now and dependable" starts to matter as much as "technically superior but backlogged."
This isn't about Nvidia ditching TSMC entirely. It's about overflow demand—custom accelerators, specialized silicon, and adjacent workloads that can't afford to sit in a queue for six months.