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TSMC Capacity Tight, Samsung Accelerates Texas 2nm Fab
According to recent reports, facing extreme capacity constraints at competitor TSMC, South Korea’s semiconductor giant Samsung Electronics is accelerating its foundry expansion in the United States. Documents from the Taylor City Council reveal that Samsung’s second wafer fabrication plant (Fab 2) at the local semiconductor campus has entered regulatory review and preliminary preparation, signaling a strategic intensification of its North American production footprint.
The Taylor City Council recently approved an amendment extending its partnership with HDR Engineering, ensuring continued municipal support for Samsung’s Fab 2 through development approvals, building code reviews, and related oversight. HDR Engineering will manage design plan reviews and assist with issuing construction permits. Once regulatory procedures are complete, construction of the Fab 2 main facilities is set to begin immediately.
Planned to cover 2.7 million square feet—comparable in scale to the first facility (Fab 1)—the new plant underscores Samsung’s strong confidence in market demand. The Taylor semiconductor campus spans 1,268 acres, with long-term plans accommodating up to ten advanced wafer fabs. Samsung has raised its total investment to $37 billion, including approximately $4.75 billion in incentives under the U.S. CHIPS and Science Act.
Technologically, the campus will focus on high-performance computing (HPC) and automotive electronics, fully deploying Samsung’s most advanced 2nm process node. To date, the facility has already secured interest from 121 potential clients, including Google and AMD.
Meanwhile, the first wafer fab (Fab 1) is in advanced preparation and is scheduled for mass production in 2027. Its launch aligns closely with Samsung’s $16.5 billion strategic collaboration with Tesla, producing Tesla’s next-generation AI5 and AI6 chips. With Elon Musk announcing AI5 chip production for mid-2027, Samsung’s Texas campus is positioned as a key strategic hub supporting the future of AI computing and electric vehicle technology.
