Where the Bottleneck Is
Nvidia, AMD, and the cloud providers making their own chips—their orders nearly all converge on TSMC alone. Lithography capacity can ramp up slowly, but the bigger chokepoint is advanced packaging like CoWoS—AI accelerators can't do without it, and its expansion cycle is long. The situation the report describes: customers queuing and bidding up prices, production lines running around the clock, and still unable to feed demand. One company has become the throat of the global AI industry, and this structure itself carries embedded risk.
Cascading Downstream
Tight foundry capacity cascades down layer by layer: slow chip delivery, delayed data centers, cloud GPU rents stuck high, and finally landing on API pricing and quota policies. There's not much ordinary teams can do directly, but at least don't write "compute will soon get cheap" into next year's budget assumptions. The geopolitical risk of capacity being highly concentrated in one place, Taiwan, is also a variable every AI-heavy business will eventually have to face.
via: The Verge