Elon Musk Spends Half of Tesla's Earnings Calls on Robots and AI, 7-Year Analysis Finds

An analysis of seven years of Tesla earnings calls, published by TechCrunch on August 4, 2026, found that Elon Musk spends roughly half of his airtime talking about artificial intelligence and robots, and noticeably less on the company's core car business.

What the call analysis found

According to TechCrunch, the study covers all of Tesla's quarterly earnings calls starting around 2019, about 28 public conversations with investors and analysts over seven years. Each call is a key venue where the CEO explains the state of the business, gives forecasts and answers questions from professional investors.

Over that period, a steady pattern emerged in Musk's rhetoric: AI, autonomous driving and humanoid robotics take up a growing share of the conversation, while discussion of traditional metrics has shrunk.

Key data from TechCrunch's analysis:

• Study period: about 7 years (2019 to 2026), roughly 28 calls
• About half of the CEO's airtime goes to AI and robots
• Talk about automotive metrics (sales, margins, deliveries) takes up noticeably less time
• The main topics that are unusual for an automaker: Optimus, FSD and the overall AI strategy

Why the balance worries investors

Tesla is still first and foremost an automaker: the bulk of its revenue comes from selling electric vehicles. Quarterly earnings calls are the main public venue where investors and analysts get operating data: delivery pace, gross margin, competitive pressure and demand forecasts.

When the CEO gives these topics only half the airtime and spends the rest musing about humanoid robots and the future of automation, some analysts read it as dodging uncomfortable questions about the current state of the business. The balance looks especially telling when competition in the EV market intensifies and investors want specifics on revenue and margins.

"The analysis shows how little attention Musk pays to Tesla's car business,"

TechCrunch states, describing the results of the seven-year study.

Musk is building an AI-company narrative

The emphasis on AI rhetoric is no accident: in recent years Tesla has brought to market several technology products that go well beyond cars. The Optimus humanoid robot is moving from prototypes toward production. The FSD (Full Self-Driving) system is positioned as a key competitive advantage and a future source of revenue. Meanwhile, Musk founded a separate AI lab, xAI, with the Grok language model, and the two companies, Tesla and xAI, are increasingly intertwined in his public narratives.

As a result, every earnings call becomes not just a financial report but also a tool for shaping the investment thesis around Tesla stock. That strategy affects valuation: the company's market capitalization has traditionally been far above the multiples of ordinary automakers, largely because of the market's technology and AI expectations.

What this means

The seven-year trend in Musk's public remarks clearly records a shift in Tesla's positioning: from an electric-car company to an AI platform with an automotive division. The market has largely bought this narrative. The open question remains the same: when will robots and AI start making a tangible contribution to Tesla's revenue, and not just to its market valuation?