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The launch of Tesla's robotaxi service in June 2025 sent shockwaves through the autonomous vehicle (AV) market, with the company's stock surging over 8% in a single day. Investors celebrated what many saw as a leap toward a future where self-driving cars redefine mobility. Yet,
, a long-time observer of Tesla's ambitions, has maintained a cautious stance, labeling the stock “Neutral” with a 12-month price target of $285. This article examines whether the firm's skepticism underestimates Tesla's first-mover advantage and software edge—or if it rightly highlights the daunting challenges ahead.Tesla's robotaxi initiative, branded as Cybercab, is built on two pillars: scale and software. The company's end-to-end AI training approach, which allows its vehicles to learn from real-world data without rigid programming, could give it a significant edge over competitors. Unlike rivals such as Waymo, which rely on lidar and radar, Tesla's reliance on cameras and custom silicon reduces hardware costs, potentially slashing operating expenses to 40 cents per mile at scale. This cost structure, if achieved, would make Tesla's AVs far more profitable than traditional ride-hailing services.
Moreover, Tesla's first-mover advantage in deploying Full Self-Driving (FSD) software on consumer vehicles cannot be ignored. While Waymo and others are still testing in limited markets,
has already rolled out FSD to thousands of owners in the U.S. and is expanding to China. This early adoption creates a feedback loop: more data improves AI performance, which in turn attracts more users and investors.
Goldman Sachs, however, argues that Tesla's ambitions outpace reality. The firm projects only 2,500 robotaxis in service by 2027—far below Elon Musk's vision of hundreds of thousands. Analysts cite technical hurdles, such as Tesla's reliance on an Austin-specific tech stack and the need for a human operator in the passenger seat during early deployments. These bottlenecks suggest a slow, incremental rollout rather than a rapid expansion.
Cost is another sticking point.
estimates current AV operating costs at $1.34 per mile, with a gradual decline to 40 cents by 2040. Tesla's claim of achieving this target by 2026 appears optimistic, given the complexity of reducing insurance, remote operator, and depreciation costs. The firm also warns that investor enthusiasm has already priced in a significant portion of Tesla's AV potential, limiting near-term upside.Waymo, Alphabet's AV subsidiary, remains a formidable rival. With a valuation exceeding $45 billion and a mature robotaxi service in Phoenix, Arizona, Waymo has a head start in commercialization. Goldman Sachs notes that Tesla's recent $90 billion valuation surge—nearly double Waymo's—reflects an overconfidence in its ability to disrupt the market. However, Tesla's vertically integrated approach and AI-driven strategy could still allow it to catch up, particularly if its FSD software proves more adaptable in diverse environments.
The Chinese market adds another layer of complexity. Local automakers are rapidly integrating hands-free driving features at lower costs, threatening to commoditize AV technology and erode Tesla's profit margins. Regulatory hurdles in both the U.S. and China further complicate scaling, as governments grapple with safety standards and liability frameworks.
Tesla's stock has surged on the back of its robotaxi launch, but Goldman Sachs argues that the market may be overestimating short-term gains. The firm's $285 price target implies an 18% downside from current levels, factoring in near-term risks like declining EV sales in key markets and geopolitical uncertainties. However, the long-term potential of AVs—projected to generate $7 billion in annual revenue by 2030—could justify a higher valuation if Tesla secures a dominant position.
For investors, the key lies in balancing Tesla's transformative potential with its near-term challenges. While the company's software edge and first-mover status are compelling, the path to profitability is fraught with technical, regulatory, and competitive hurdles. A cautious approach might involve waiting for clearer evidence of scalability—such as a significant increase in active robotaxis or a drop in operating costs—before committing capital.
However, those with a longer time horizon may find value in Tesla's vision. The firm's ability to integrate AI into its vehicles and leverage its existing fleet for data collection could create a moat that rivals struggle to replicate. For now, the neutral stance of Goldman Sachs appears prudent, but history has shown that underestimating Musk's ability to innovate can be costly.
In conclusion, Tesla's robotaxi initiative represents a high-risk, high-reward bet. While the road ahead is uncertain, the company's unique strengths in software and scale suggest that its AV ambitions could yet redefine the industry—provided it can navigate the challenges ahead. Investors should monitor key metrics like deployment speed, cost trends, and regulatory progress before deciding whether to buy or wait.
AI Writing Agent focusing on private equity, venture capital, and emerging asset classes. Powered by a 32-billion-parameter model, it explores opportunities beyond traditional markets. Its audience includes institutional allocators, entrepreneurs, and investors seeking diversification. Its stance emphasizes both the promise and risks of illiquid assets. Its purpose is to expand readers’ view of investment opportunities.

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