@elonmusk remarks at the latest Tesla shareholder meeting validate my previous analysis and predictions regarding his semiconductor strategy. The following brief analysis will focus on why Musk wants Tesla to build its own chip production plants.
1. Musk said, “So I’m hopeful that we can within less than a year of AI5 starting production, we can actually transition in the same fab to AI6 and double all of the performance metrics.”
I previously projected that AI6 would enter mass production in 2027. Many questioned whether only a one-year gap between AI5 and AI6 was realistic, but Musk’s comments validate that timeline (setting aside whether the plan ultimately executes as stated).
2. Musk wants Tesla to build its own chip production plants.
This also validates my earlier view that a key reason for shifting AI6 orders to Samsung was to gain real-world foundry experience at an exceptionally low cost. It’s clear Musk expects that experience to help Tesla stand up chip production plants of its own.
Musk is worried about future chip supply, hence his comment: “But even when we extrapolate the best case scenario for chip production from our suppliers, it’s still not enough.”
However, I don’t think chip supply is the core issue—at least not at TSMC. TSMC is unlikely to be the primary bottleneck. TSMC CEO C.C. Wei has told Musk before, “If you’re willing to pay, there will be chips.” While TSMC is known for its cautious approach to capacity expansion and often runs tight when demand is strong, history shows it has rarely been the primary bottleneck in the supply chain.
When more information emerges, I’ll provide a tighter quantitative read on TeraFab’s supply–demand balance. For now, I’ll leave aside whether Tesla can successfully build its own chip production plant and focus on why Musk still wants a Tesla chip production plant even if TSMC’s supply isn’t the constraint:
The first factor is geopolitics. Musk has publicly voiced concerns about the concentration of advanced node capacity in Taiwan. Even by 2030, TSMC’s advanced-node and advanced-packaging capacity in the U.S. will remain limited—especially on the packaging side, likely no more than about 10% of its global capacity. I believe Musk realizes this as well, which is why he said, 'And then you go to solve memory and packaging too.'
The second factor is R&D support and production flexibility. It's expected that Tesla has significant growth potential, but within TSMC today it is still a second-tier customer relative to the likes of Apple and Nvidia. That naturally means less priority on R&D support and production flexibility—one of the main reasons Tesla moved AI6 to Samsung. The ultimate remedy is to control its own chip production plant.
Finally, there's the integration advantage. Musk's new technologies and products are often at the cutting edge. The ability to customize key design and manufacturing segments to his specific needs—with chip production being a critical one—enables a highly integrated final product and maximizes the benefits of vertical integration.
References:
1. Tesla's 2025 Annual Shareholder Meeting Transcript
https://t.co/stoK3Zwq0J
2. TSMC CEO C.C. Wei told Elon Musk, "If you’re willing to pay, there will be chips."
https://t.co/IuqqXewSRj
3. Musk has publicly voiced concerns about the concentration of advanced node capacity in Taiwan.
https://t.co/K7UXdHZT5J
Quoted context
These are the quoted author’s words.
For Elon Musk and Tesla, this represents a valuable opportunity to gain real-world foundry experience at an exceptionally low cost — something TSMC would never allow. It enables Tesla to enhance its chip design capabilities, particularly in manufacturability, while also gaining deeper manufacturing knowledge, which will give them more leverage in future negotiations with foundries. In the long run, Elon Musk's businesses will only demand more advanced chips, so acquiring core manufacturing expertise becomes a strategic advantage.
Tesla’s AI6 chip is currently scheduled for mass production in 2027, using Samsung’s 2nm node (SF2). SF2 currently has a yield of 40–45%, lower than TSMC’s N2 (over 70%) and Intel’s 18A (50–55%). Elon Musk's execution is proven, and SF2's adoption of the same GAA technology as SF3 should facilitate mass production. Even so, it's still difficult to predict whether Samsung can successfully ramp AI6 on SF2 as scheduled.
If production falls short of expectations, the worst-case scenario for Tesla would be to shift the order back to TSMC and absorb the resulting delays to AI6.. However, Tesla’s edge in real-world AI could significantly reduce the risk of AI6 delays. Regardless, Tesla still gains from enhanced design capabilities and deeper chip manufacturing know-how. As for Samsung — with nothing to lose, why not give it a try? This partnership presents manageable downside and strong upside potential for both sides.
If AI6 reaches mass production smoothly, chip design and manufacturing could become a core competitive advantage across Elon Musk’s businesses — enabling greater flexibility and lower costs. While Samsung may not fully catch up with TSMC in advanced nodes, it has at least discovered a new business model that actively involves customers in the manufacturing process.
mingchikuo ↗