Tesla to Sell More Robots Than Cars Within Two Years, Says Ex-CEO

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Former Stability AI CEO Emad Mostaque projects that Tesla will surpass its vehicle sales with humanoid robots in just two years, estimating 10 million Optimus units could generate $400 billion in revenue. Given Tesla's lofty forward earnings multiple, justifying its valuation requires Optimus to scale far beyond the traditional auto business. While production is slated to begin in 2027 with a massive facility planned in Texas, Wall Street consensus estimates total revenue for fiscal 2028 at only $142 billion. This points to a significant gap between ambitious bullish projections and cautious analyst models. Moreover, engineering hurdles such as memory constraints in the upcoming AI chips highlight potential supply bottlenecks that could challenge such rapid manufacturing expansion.

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Former Stability AI CEO Emad Mostaque forecasted that Tesla will sell more robots than cars within two years, generating 400 billion dollars in revenue from 10 million Optimus units. Tesla's current stock price records a high valuation that is difficult to explain solely through its traditional automotive business, highlighting the success or failure of the humanoid robot business as a key factor determining corporate value. Investors must closely monitor the actual mass production speed of Optimus, targeted for production start in 2027, and whether there are chip supply chain constraints.

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According to the former Stability AI CEO's outlook, Tesla must generate 400 billion dollars in new revenue through 10 million Optimus robots to justify its current high multiple. However, Wall Street projects total revenue for 2028 at 142 billion dollars, suggesting a significant gap with market consensus due to volume constraints in the early stages of robot production and memory chip supply issues.

In the bullish scenario, Tesla's Giga Texas factory will establish an annual production system of 10 million units as targeted after 2027, achieving steep robot-centric revenue growth. On the other hand, in the bearish scenario, downward pressure on the stock price may increase due to overlapping memory chip bottlenecks and excessive valuation burdens, making it necessary to monitor AI5 chip memory specification adjustments and actual shipment data as core indicators.

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