---
type: "Topics"
locale: "en"
url: "https://longbridge.com/en/topics/39504639.md"
description: "🔥Broadcom points out TSMC's capacity has hit its limit. This is not a supply issue, but the first time the AI industry has hit a "physical ceiling."When I saw this news, my first reaction wasn't bearish sentiment, but a more critical signal:For the first time, the AI race is starting to face "real-world constraints."Broadcom directly pointed out that TSMC's capacity is nearing its limit.And this foundry simultaneously serves:NVIDIAAppleand the entire AI chip ecosystem.What does this mean?👉 AI is no longer just a computing power race, but a "capacity race."For the past two years, the market assumed one premise:As long as demand exists, supply will follow.But now, this logic is starting to loosen.Because advanced processes (especially 2nm) are already showing clear supply shortages, with schedules extending beyond 2028.This isn't short-term tightness, but a structural bottleneck.I'm more focused on three changes.First, pricing power is starting to concentrate.When supply is constrained, the most direct result isn't a shortage, but:👉 Price increases.TSMC's consecutive price hikes are not cyclical behavior, but:The release of bargaining power under "irreplaceability."For upstream players, this is profit.But for the entire AI supply chain, this is rising costs.Second, AI expansion speed may be forced to slow down.Many believe AI growth is linear, but the reality is:👉 It relies on physical manufacturing capability.If capacity cannot expand in sync, then:Data center constructionGPU deploymentModel iterationwill all be affected.This is also why even next-generation architectures (like NVIDIA's future platforms) may be forced to adjust their designs.Third, the bottleneck is starting to "spill over."The most noteworthy thing this time isn't the chips themselves, but:The problem has already spread to:Laser componentsPCBsEnergyRaw materialsThis indicates one thing:👉 The entire supply chain has entered a state of tension.There's another variable many underestimate:Geopolitics + EnergyA core reality for TSMC is:It heavily relies on stable electricity and imported energy.And the impact of the Middle East situation isn't just oil prices, but:👉 The availability of key resources like LNG, helium, etc.Once these variables fluctuate, what's affected isn't just cost, but:Production stability.So my current judgment is:This isn't a signal of "AI cooling down,"but:👉 AI entering a "constraint-driven phase."In the past, it was about:Who invested moreWho expanded fasterNext, it will be about:Who can secure capacityWho can lock in supplyWho can control costsThis is also why more and more companies are starting to sign 3 to 5-year long-term agreements.Because the short-term market is no longer reliable.From an investment perspective, this will bring a structural change:Upstream (foundries, equipment, materials)Start gaining higher certaintyWhile midstream and downstream (applications, computing power demand side)May face cost pressures and expansion uncertaintySo the real question isn't:Will AI continue to grow?But:👉 Under the premise of "capacity constraints," who can still continue to expand?Are you more inclined to think this is just a temporary bottleneck,or the beginning of the AI industry shifting from "unlimited expansion" to "resource competition"?"
datetime: "2026-03-25T07:25:51.000Z"
locales:
  - [en](https://longbridge.com/en/topics/39504639.md)
  - [zh-CN](https://longbridge.com/zh-CN/topics/39504639.md)
  - [zh-HK](https://longbridge.com/zh-HK/topics/39504639.md)
author: "[辰逸](https://longbridge.com/en/profiles/16318663.md)"
---

# 🔥Broadcom points out TSMC's capacity has hit its …


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