Tesla's AI Bet: Why Cantor Fitzgerald Is Bucking the Bearish Trend on TSLA

Breaking: Market watchers are closely monitoring a contrarian call on Tesla (TSLA) as the electric vehicle giant navigates one of its most turbulent periods in years. While headlines scream about demand woes and price wars, one prominent Wall Street firm is looking beyond the quarterly delivery numbers.
Cantor Fitzgerald Doubles Down on Tesla's AI and Robotics Future
In a move that's raising eyebrows across trading desks, analysts at Cantor Fitzgerald have reaffirmed their bullish stance on Tesla, maintaining an Overweight rating and a price target of $230. That represents a potential upside of roughly 45% from current levels around $158. The core of their thesis? It's not just about cars anymore.
"We're seeing a classic case of market myopia," one market analyst familiar with Cantor's thinking told me. "The Street is pricing Tesla like a cyclical auto stock, but the firm's valuation model increasingly hinges on optionality in artificial intelligence and robotics." This comes as Tesla faces significant headwinds: EV demand growth has slowed from its torrid 2022-2023 pace, Chinese competition is fiercer than ever, and the company's core automotive gross margins have compressed from over 29% in early 2022 to around 17% recently.
Market Impact Analysis
So far, the broader market hasn't bought the story. Tesla's stock is down more than 30% year-to-date, dramatically underperforming the Nasdaq's 8% gain. Short interest has crept up, and options activity shows a distinct bearish skew. Yet, Cantor's call isn't happening in a vacuum. It reflects a growing, if still minority, view that Tesla's long-term value is bifurcating. On one side, there's the high-volume, lower-margin automotive business. On the other, there's a suite of emerging technology platforms that could be worth multiples of the car company itself.
Key Factors at Play
- The Dojo Supercomputer & Full Self-Driving (FSD): Tesla's proprietary AI training system, Dojo, is a multi-billion dollar bet that few traditional automakers could even contemplate. The company claims it could reduce the cost of training its FSD neural networks by an order of magnitude. If successful, it wouldn't just power Tesla's own cars; it could become a cloud service sold to other companies, a prospect that analysts at Ark Invest have valued in the hundreds of billions.
- The Optimus Robot Prototype: Dismissed by many as a distraction, the humanoid robot project represents the ultimate moonshot. The addressable market in general-purpose labor is theoretically immense. While a commercial product is likely years away, Cantor's team seems to be assigning a non-zero probability—and potentially a very high value—to this venture succeeding. They're essentially underwriting a call option on the future of physical AI.
- Energy Storage & Software Recurrence: Often lost in the noise, Tesla's energy storage business (Megapack) is scaling rapidly, with deployments growing over 100% year-over-year. Furthermore, high-margin software revenue from FSD subscriptions, Supercharging, and connectivity is building a recurring revenue stream that's more akin to a tech company than a car manufacturer.
What This Means for Investors
Meanwhile, in the real world where portfolios live and breathe, this debate creates a stark choice. Are you investing in Tesla the car company, or Tesla the diversified AI and robotics conglomerate-in-waiting? The valuation gap between these two narratives is enormous.
Short-Term Considerations
For traders and short-term holders, the path of least resistance remains fraught. The next two quarters will likely be dominated by delivery misses, margin pressure, and intense competitive scrutiny. Technical charts show strong resistance around $180, and the stock could easily retest its 52-week low near $140 if macroeconomic conditions worsen. Any investment here requires a stomach for volatility that's become Tesla's hallmark.
Long-Term Outlook
For long-term investors with a five- to ten-year horizon, Cantor's thesis is compelling precisely because it's unpopular. You're not paying a premium for the AI narrative today; the market is giving you that optionality for nearly free. The key question isn't whether Tesla will sell 20 million cars by 2030—that target looks increasingly unrealistic. It's whether the billions spent on AI infrastructure will yield a new, high-margin software and services business that can dwarf automotive profits. History shows that paradigm shifts are almost always underestimated at the start.
Expert Perspectives
Not everyone is convinced, of course. "It's a brilliant narrative, but narratives don't pay the bills," countered a portfolio manager at a large hedge fund, who asked not to be named due to firm policy. "They're burning cash on Capex for Dojo and Optimus while their core business faces existential pressure. That's a dangerous cocktail." Other industry sources point out that AI leadership is far from guaranteed; companies like Nvidia, Google, and a host of dedicated self-driving startups are pouring even more capital into the same problems.
Bottom Line
Cantor Fitzgerald's stance is a bold gamble on Elon Musk's ability to execute a second act. It's a bet that Tesla can navigate the brutal automotive down-cycle while simultaneously incubating world-changing technologies in its skunkworks. For now, the market's vote is clear: it's skeptical. But if even one of these moonshots—a truly autonomous robotaxi network or a viable humanoid robot—achieves commercial scale, today's price will look like a historic bargain. The real risk? That Tesla becomes a case of "jack of all trades, master of none," stretched too thin across too many capital-intensive frontiers. That's the high-stakes drama now unfolding in plain sight.
Disclaimer: This analysis is for informational purposes only and does not constitute financial advice. Always conduct your own research before making investment decisions.