Tesla upgraded to Outperform at Baird on ‘physical AI’ outlook

Tesla (NASDAQ:TSLA) received a bullish nod from Baird this week, with the firm upgrading the stock to “Outperform” on expectations that the company is positioned to lead in what it calls the “physical AI” era. 

Analyst Ben Kallo also raised Tesla’s price target to $548 from $320, noting that despite muted quarterly results, shares have gained 24% in the past month, outpacing the S&P 500’s 3% rise.

Long-term milestones

The Baird analyst shared his insights in a note to investors. “Relatively muted stock reactions following a series of less-than-stellar quarters and investor inbounds regarding long-term initiatives lead us to believe focus has increasingly shifted to the future for TSLA. We now expect shares to ‘Outperform’ as TSLA is increasingly viewed as the leader in physical AI,” the analyst wrote in his note.

Kallo also pointed to Tesla’s ambitious roadmap as a key reason for the upgrade, as well as the company’s new proposed compensation plan for CEO Elon Musk. The package ties rewards to ambitious milestones, including the delivery of 20 million vehicles annually, the deployment of 1 million robots and 1 million robotaxis, and 10 million Full Self-Driving (FSD) subscriptions. 

Vehicles, robots, and energy

Baird’s scenario analysis suggested that Tesla could reach a valuation of more than $5.5 trillion by 2035 in its minimum case, with potential upside to $12 trillion and $3,000 per share if milestones are exceeded, as noted in an Investing.com report.

Beyond Musk’s compensation framework, Baird highlighted multiple near-term catalysts for Tesla. These include potential updates on Optimus, the rollout of more affordable vehicles, new Robotaxi market entries, and an upcoming shareholder vote on Musk’s pay package. Expansion in Tesla’s energy storage and software businesses was also flagged as a growth driver. Kallo also described Tesla as having “lots of irons in the fire,” ranging from the scaling of the Semi to recurring revenue streams tied to software.

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