ASML CEO Says Elon Musk’s Terafab Could Rival the World’s Largest Chip Factories
ASML CEO Christophe Fouquet says Elon Musk’s ambitious Terafab project could represent demand on the scale of some of the biggest semiconductor manufacturing sites in the world, potentially comparable to fabs capable of processing millions of wafers each month.
The comments come as the semiconductor industry faces a massive wave of demand driven by artificial intelligence, advanced computing, robotics, electric vehicles, and next-generation data centers. For ASML, the Dutch company that supplies some of the world’s most important chipmaking equipment, the AI boom is creating a new cycle of growth as chip manufacturers race to expand production capacity.
Musk introduced the Terafab concept earlier this year as part of a broader effort to secure enough chips for Tesla’s future needs, including edge computing, autonomous systems, and robotics. He has argued that current chip production capacity on Earth may not be enough to support the scale of computing required for Tesla’s long-term plans or for future space-based data center infrastructure.
Intel later joined the project, and Musk said Tesla would use Intel’s 14A process technology for chip production. That move positioned Terafab as a potentially major semiconductor manufacturing effort at a time when advanced chip supply remains one of the most important issues in the global technology industry.
Speaking about Terafab, Fouquet said ASML is watching the project closely as it evaluates how future demand may develop. He described it as an example of a large-scale fabrication project, comparing it with major DRAM manufacturing sites in South Korea that are designed to handle extremely high wafer volumes.
“The TeraFab is an example of a major fab project,” Fouquet said, noting that some major memory chip projects are already reaching the scale of million-wafer fabs.
For ASML, this kind of demand matters because every advanced chip factory requires highly specialized lithography systems. ASML’s extreme ultraviolet and deep ultraviolet machines are essential for producing cutting-edge processors, memory chips, and other advanced semiconductors. If projects like Terafab move forward at scale, they could increase the need for ASML’s equipment across the chip supply chain.
Fouquet also addressed the idea of AI data centers in space, a concept Musk has discussed as energy demand for artificial intelligence continues to climb. According to the ASML chief, the main issue being explored by space-based data center concepts may not be computing capacity itself, but energy availability.
He suggested that space data centers could be more about solving the growing power problem linked to AI infrastructure. As artificial intelligence systems become more complex, data centers require enormous amounts of electricity, making energy one of the biggest challenges for the industry.
The ASML CEO believes the semiconductor industry is still in the early stages of the current AI-driven cycle. He said AI companies were already making strong demands for chips last year, but the broader semiconductor sector was slower to respond.
That response is now beginning to take shape. Chipmakers are building new capacity, expanding existing fabs, and ordering more advanced manufacturing equipment. However, Fouquet warned that catching up will take time.
The challenge is not only to build the infrastructure needed for AI computing, but also to prepare for the next wave of applications that will come after the infrastructure is in place. In other words, the industry is still laying the foundation for a much larger AI hardware ecosystem.
Fouquet also highlighted Europe’s position in the global AI race, saying the region is lagging behind the United States. He noted that the U.S. purchases a large share of the world’s most advanced chips and is actively supporting major companies across the AI semiconductor ecosystem.
Europe, by comparison, appears to be behind the current pace of development. While the continent has world-class semiconductor expertise through companies like ASML, it lacks the same level of advanced chip consumption, AI infrastructure investment, and dominant AI platform companies seen in the U.S.
His remarks underline a growing concern in Europe: having critical semiconductor equipment leadership does not automatically translate into leadership in AI computing. To compete more effectively, Europe may need stronger investment in AI chips, data centers, software platforms, and end-user applications.
The Terafab discussion reflects a wider shift in the technology industry. AI is no longer only a software story. It is driving a physical infrastructure boom involving chip factories, lithography machines, energy systems, and massive data centers. As companies like Tesla, Intel, and others push for greater control over chip supply, firms such as ASML are becoming even more central to the future of computing.
For now, Fouquet’s message is clear: the AI semiconductor cycle is still young, demand is rising fast, and the race to build enough chip capacity has only just begun.
