#AI芯片成本海啸引美股暴跌 | Is TSMC's price increase a short-term negative or a long-term positive for AI narratives?

Old-timers straightforwardly say: TSMC raising prices on advanced processes this time directly passes costs onto AI players like NVIDIA, AMD, and Broadcom. In the short term, this is indeed negative. The US stock AI sector collectively pulls back, profit margins come under pressure, valuation models are being re-evaluated, and the Wall Street favorite "AI invincibility" narrative is suddenly discounted.

But don’t be fooled by appearances. Suppliers daring to raise prices have never done so because demand is weak; it’s because demand is so strong they have the confidence. Over the past two years, AI training clusters’ hunger for CoWoS and advanced packaging far exceeded the pace of capacity ramp-up. TSMC is not a charity; their pricing power is essentially market voting: AI capital expenditure is still ongoing, just moving from “wild growth” to a phase of “cost-consciousness.”

Personally, I lean more towards the long-term positive. Rising costs actually prove that AI is not just a PowerPoint story but a real demand backed by hard cash. The real concern should be if downstream players can’t even absorb the price hikes—that would be a sign of demand collapse. For now, hyperscalers are still spending money, just more selectively on cost-effectiveness. This wave of cost tsunami will ultimately filter out AI companies with true moats, rather than drowning everyone together.

As an old-timer, I choose to observe amid panic rather than blindly bottom-fish. Wait for the earnings season to reveal the real demand data before deciding whether to hold heavy or continue watching.