Key facts
- Google, Tesla, and AMD are reportedly in talks with Samsung for AI chip production.
- TSMC's advanced manufacturing capacity is currently at its limit.
- Samsung is seen as a key alternative for high-end chip production.
- Tesla plans to produce its AI6 chips at Samsung's new Texas facility.
- AMD is considering Samsung for future CPU generations post-2028.
- BYD is also in discussions with Samsung for autonomous driving chips.
Major technology companies including Google, Tesla, and AMD are increasingly turning to Samsung for the production of advanced AI chips, seeking alternatives as Taiwan Semiconductor Manufacturing Company (TSMC) faces capacity constraints. TSMC's leading-edge manufacturing processes are fully booked, driven by high demand from major clients like NVIDIA and Apple, leaving limited room for new orders.
Samsung Foundry is positioning itself as a crucial second pillar in global high-end chip production. Google is reportedly in discussions to manufacture parts of its future Axion processors and TPU AI accelerators with Samsung, with a timeline around 2028. This indicates a strategic move to diversify production away from TSMC.
Similarly, Tesla is expected to produce its upcoming AI6 chips at Samsung's new plant in Texas. AMD is also considering Samsung for future generations of its CPUs, with production plans potentially starting after 2028. Chinese electric vehicle manufacturer BYD is in talks with Samsung for semiconductors essential for its next-generation autonomous driving systems.
This trend is fueled not only by TSMC's capacity limitations but also by geopolitical tensions and the desire for supply chain security. Companies are adopting a "more factories, more regions" strategy, aiming to produce chips simultaneously at different foundries, a model previously used by companies like Qualcomm. This diversification could significantly shift the balance of power in the semiconductor industry within the next few years, potentially leading to more stable availability of cutting-edge technologies for AI servers, automotive, and consumer electronics.