Musk plans Tesla AI chip factory, considers Intel partnership

Tesla Explores Major AI Chip Manufacturing Expansion

Tesla CEO Elon Musk has unveiled potential plans to construct a large-scale semiconductor production plant, known internally as a “terafab,” to address the automaker’s escalating demand for artificial intelligence (AI) chips. This facility could produce approximately one million AI chips monthly, drastically increasing Tesla’s independence in chip manufacturing. Musk indicated that despite partnerships with industry giants such as TSMC and Samsung, external suppliers may struggle to meet Tesla’s future requirements, making an in-house facility a practical consideration.

During Tesla’s recent annual shareholders meeting, Musk hinted at a possible collaboration with Intel for this project, though no formal agreement has been reached. Intel, which maintains its own fabrication capabilities, has faced stiff competition from Nvidia in the AI chip sector. The U.S. government’s recent acquisition of a 10% stake in Intel supports the company’s efforts to expand its client base for cutting-edge manufacturing technologies.

Tesla is currently advancing its fifth-generation AI chip (AI5), engineered to enhance autonomous driving systems, including its Full Self-Driving suite. Initial production of the AI5 is slated for 2026, with mass manufacturing expected by 2027. A sixth-generation chip with superior performance will follow.

Musk emphasized cost efficiency and reduced energy consumption, noting the new chip will consume roughly one-third of the power of existing designs while being fine-tuned for Tesla’s proprietary software. The proposed terafab aims to address production bottlenecks and scale output to align with Tesla’s aggressive goals for autonomous vehicles and AI development.

In essence, Tesla is evaluating the feasibility of constructing a high-volume AI chip facility—possibly with Intel’s involvement—to produce millions of advanced chips annually. This strategy underscores Tesla’s commitment to maintaining its edge in autonomous technology through bespoke, efficient semiconductor solutions, signaling a broader transformation from electric vehicle pioneer to an AI and robotics leader.