Nvidia CEO Jensen Huang told an audience of roughly 1,000 employees in Taipei this week that the company plans to spend about $150 billion a year in Taiwan, calling the island the 'epicenter of the AI revolution.' The figure is a tenfold step up from Nvidia's Taiwan spend of four or five years ago, when annual outlays sat around $10–15 billion. Huang made the announcement at the launch celebration for Constellation, Nvidia's planned northern Taipei headquarters campus, secured under a 50-year lease with the Taipei city government signed in February. Construction begins this summer; full operations are targeted for 2030.
The number itself is less interesting than what it locks in. Most of Nvidia's $150 billion is going to TSMC for wafers and to the advanced-packaging ecosystem — CoWoS capacity, HBM stacking, system integration — that turns those wafers into Blackwell, Vera Rubin, and the next generations of accelerators. Co-locating Nvidia engineers next door to TSMC reduces the cycle time between a chip-design change and a manufacturing change, which is the kind of operational tightening that compounds across a multi-year roadmap. Constellation is not a real-estate story. It's a supply-chain story.
It is also a geopolitical statement. Huang has spent the past year repeatedly saying Nvidia has 'largely conceded' the China market to Huawei under U.S. export controls. Pledging $150 billion a year to Taiwan — under the same U.S. controls, and within view of cross-strait tensions — is a vote of confidence that Taiwan's role as the world's advanced semiconductor hub will hold. For investors, the announcement reinforces what Nvidia's last earnings already implied: the bottleneck on AI buildouts is no longer demand, it's how fast TSMC and its partners can stand up new packaging lines.
A takeaway for learners: if you're trying to understand where AI infrastructure actually lives, follow the packaging, not the models. CoWoS, HBM, and substrate yield are the unsexy chokepoints that decide whether the industry can ship enough accelerators next year. A surprising amount of the AI economy reduces to a small number of fabs and an even smaller number of advanced-packaging facilities — most of them within driving distance of Constellation.