• Morgan Stanley says Tesla must show clear evidence that Robotaxi is scaling to strengthen investor confidence.
  • Investors remain positive on Tesla’s Physical AI strategy, helped by stronger Full Self-Driving adoption.
  • However, weaker margins, higher R&D spending and cash burn are increasing pressure for measurable results.

Tesla is at an inflection point where the market is no longer content with promises. The company’s stock has been a battlefield of bullish narratives versus hard numbers, and now, according to Morgan Stanley, the near-term test is unequivocal: prove that robotaxis are actually scaling.

The investment bank, known for its bullish stance on the EV maker, is now emphasizing the need for “tangible evidence” of robotaxi deployment, city density, and unsupervised miles. This comes as investors grapple with the tension between Tesla’s Physical AI ambitions—which include the Optimus humanoid robot and a vast autonomous driving network—and the financial reality of squeezed margins, escalating R&D, and a cash burn that is starting to make even the most fervent believers antsy.

“It’s no longer about vision alone,” a Morgan Stanley analyst noted, who asked not to be named discussing internal deliberations. “We need to see the math work: more robotaxis on the road, expanding geographies, and unit economics that point to a sustainable business.”

The pressure is palpable. While Full Self-Driving adoption has been a bright spot, with more drivers subscribing to the beta software, it hasn’t translated into the robust revenue growth that would offset the heavy investments in AI infrastructure and the robotaxi fleet. Tesla’s auto gross margins have been under pressure, and the company’s free cash flow has been negative in recent quarters, a red flag for a company that once prided itself on self-funding growth.

A key focus is the robotaxi service, which Tesla has been quietly testing in select cities. Investors are looking for clear signals of expansion—more vehicles in operation, but also a meaningful increase in the miles driven without human intervention. These metrics, Morgan Stanley argues, are the “proof points” that will separate Tesla from the pack in the physical AI race.

Yet, it’s not all doom and gloom. The Street’s optimism around Tesla’s Physical AI strategy is still palpable, buoyed by the progress seen in Optimus. The humanoid robot, which has been spotted in factory settings, represents a potential new business line that could be worth billions. “Optimus is the long game, but it’s already moving from concept to demo,” said a Tesla shareholder. “We’re seeing real progress there, but the market is short-term focused, and robotaxi is the near-term catalyst.”

Indeed, the stock’s volatility reflects that tension. In recent weeks, shares have swung on any news regarding regulatory approvals, safety reports, or even vague updates on the robotaxi timeline. A report of a minor incident involving a Tesla robotaxi in a test city sent the stock down 2% in a day, underscoring the market’s sensitivity to setbacks.

The company has been tight-lipped about detailed metrics, but CEO Elon Musk has promised that robotaxis will be operating in multiple cities by next year. However, analysts are increasingly skeptical of such timelines, pointing to the regulatory hurdles and the technical challenges of achieving fully unsupervised driving at scale.

In a research note earlier this week, Morgan Stanley outlined specific metrics investors should watch: the number of robotaxis in service, the cities where they operate, the average miles per vehicle between disengagements, and the cost per mile. If Tesla can deliver on these, the firm sees a potential upside of 40% in the stock. If not, the downside could be severe.

Tesla did not respond to requests for comment by the time of publication.

As the company prepares for its next earnings call, the market will be listening intently for any hints of progress. The days of Tesla getting a free pass on execution are over, at least for now. The robotaxi isn’t just a product—it’s the ultimate test of Tesla’s ability to merge software, AI, and hardware into a profitable business. The proof, as they say, is in the driving.