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Elon Musk said Tesla Inc.’s upcoming AI6 chip could set a record for “usable intelligence” produced from each semiconductor wafer, highlighting the company’s effort to pair raw computing power with manufacturing efficiency.

Musk Praises Tesla AI Chip Team

Musk praised Tesla’s AI chip design team on Tuesday on X, saying its engineering reviews were “so great” and calling the team “awesome.”

Tesla AI chip design engineering reviews are so great! Team is awesome.

Our AI6 chip might set a record for most amount of usable intelligence from a wafer when factoring in yield.

— Elon Musk (@elonmusk) June 9, 2026

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“Our AI6 chip might set a record for most amount of usable intelligence from a wafer when factoring in yield,” Musk wrote.

The comment points to a design strategy that values manufacturability as much as peak performance. Semiconductor yield measures how many usable chips can be produced from a wafer. By designing chips that can better tolerate defects or make more efficient use of wafer area, Tesla could extract more computing power from each production run.

AI6 Production Plans Depend On Foundries

Musk has earlier said the AI6 chip should deliver a true doubling of performance over AI5 while keeping the “same half-reticle size.” The chip is expected to use Samsung Electronics Co. Ltd.’s 2-nanometer process at the company’s new Taylor, Texas, fabrication plant as part of a roughly $16.5 billion supply deal.

Tesla is targeting an AI6 tapeout in December 2026, with AI7 and later generations already in planning. The company has also discussed an AI6.5 version that would use Taiwan Semiconductor Manufacturing Co.’s 2-nanometer technology at its Arizona facility.

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Terafab Aims To Reduce Outside Reliance

The chip plans sit inside Musk’s broader semiconductor push. The company’s proposed Terafab project would involve Tesla, SpaceX, xAI and Intel Corp. in a vertically integrated chip manufacturing complex designed to reduce reliance on outside foundries.

Musk has said current global semiconductor output can meet only a small fraction of the computing his companies expect to need. At full scale, Terafab aims to produce 1 terawatt of AI compute capacity a year.

However, for now, Tesla remains dependent on partners such as Samsung and TSMC.

Photo: Frederic Legrand – COMEO on Shutterstock.com

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