Илон Маск тратит половину звонков Tesla на роботов и ИИ — анализ за 7 лет

A seven-year analysis of Tesla's 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 pays noticeably less attention to the company's core automotive business.

What the Call Analysis Revealed

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

Over this period, a consistent pattern emerged in Musk's rhetoric: topics of AI, autonomous driving, and humanoid robotics occupied an ever-growing share of airtime — while discussion of traditional metrics contracted.

Key data from TechCrunch's analysis:

• Study period — approximately 7 years (2019 to 2026), around 28 calls
• Roughly half of the CEO's airtime goes to AI and robotics topics
• The share of discussion covering automotive metrics — sales, margin, deliveries — is noticeably smaller
• The main topics atypical for an automaker: Optimus, FSD, overall AI strategy

Why Investors Are Concerned About This Balance

Tesla remains primarily an automaker: the company's core revenue is generated by electric vehicle sales. Quarterly earnings calls are the main public venue where investors and analysts receive operational data: delivery rates, gross margins, competitive pressure data, and demand forecasts.

When a CEO devotes only half of airtime to these topics and gives the rest to musings about humanoid robots and the future of automation, some analysts interpret this as evasion of uncomfortable questions about the current state of the business. This balance becomes especially telling during periods when competition in the EV market intensifies and investors are waiting for specifics on revenue and margins.

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

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

Musk Is Building an AI-Company Narrative

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

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

What This Means

The seven-year trend in Musk's public statements clearly captures Tesla's repositioning transformation: from an electric vehicle company into an AI platform with an automotive division. The market has largely accepted this narrative. The open question remains the same: when will robots and AI begin making a tangible contribution to Tesla's revenue — rather than just to its market valuation?