Elon Musk: Ford, GM, Stellantis Reject Tesla FSD Licensing Offers

Elon Musk revealed that rival automakers like Ford, GM, and Stellantis have rejected offers to license Tesla's Full Self-Driving (FSD) technology, citing technical hurdles, regulatory risks, and preferences for in-house development. This reluctance highlights industry divisions in advancing autonomous vehicles, leaving Tesla to pursue self-reliance.
Elon Musk: Ford, GM, Stellantis Reject Tesla FSD Licensing Offers
Written by John Marshall

Elon Musk’s Autonomous Gambit: The Reluctant Dance of Rival Carmakers with Tesla’s Self-Driving Tech

In the high-stakes arena of automotive innovation, Tesla Inc. has long positioned itself as the vanguard of autonomous driving technology. Yet, recent revelations from CEO Elon Musk paint a picture of isolation amid ambition: rival automakers are spurning offers to license Tesla’s Full Self-Driving (FSD) system. This development, emerging in late 2025, underscores deeper fissures in the industry’s approach to self-driving tech, where collaboration could accelerate progress but competitive egos and technical hurdles often prevail.

Musk’s candid admission came via a post on X, the platform he owns, where he expressed frustration over legacy manufacturers’ reluctance. “I’ve tried to warn them and even offered to license Tesla FSD, but they don’t want it! Crazy …,” Musk wrote, highlighting outreach to companies like Ford Motor Co., General Motors Co., and Stellantis NV. When discussions do occur, they falter on “unworkable requirements,” according to Musk, suggesting a mismatch between Tesla’s plug-and-play vision and rivals’ demands for customization.

This isn’t merely a snub; it’s a symptom of broader industry dynamics. Tesla has touted FSD as a revolutionary software suite capable of enabling vehicles to navigate complex environments with minimal human intervention. Priced at around $8,000 as an add-on for Tesla owners, the system relies on neural networks trained on vast datasets from the company’s fleet. Yet, for outsiders, integrating such tech into non-Tesla architectures poses significant engineering challenges, from sensor compatibility to software integration.

The Legacy Holdouts and Tesla’s Persistent Pitch

Legacy automakers, steeped in decades of mechanical engineering prowess, have invested billions in their own autonomous programs. General Motors’ Cruise LLC, for instance, has been testing robotaxis in urban settings, albeit with regulatory setbacks following incidents in San Francisco. Ford’s partnership with Argo AI folded in 2022, redirecting efforts toward advanced driver-assistance systems rather than full autonomy. Stellantis, meanwhile, collaborates with Waymo on commercial vehicles, betting on specialized applications over broad consumer licensing.

Musk’s overtures date back years. In 2021, he first floated the idea of licensing Tesla’s Autopilot and FSD technologies, framing it as a way to accelerate the global shift to electric and autonomous vehicles. “Tesla is open to licensing software and supplying powertrains & batteries. We’re just trying to help,” he posted on X back then. Fast-forward to 2025, and the narrative has soured. As reported by Electrek, Musk now concedes that “other automakers would license Tesla’s Full Self-Driving (FSD) system” was more aspiration than reality, with no major deals materializing.

The reluctance stems from multiple factors. For one, FSD remains classified as a Level 2 system under SAE International standards, requiring human supervision despite its “Full Self-Driving” moniker. Rivals like Mercedes-Benz have achieved Level 3 approval in select U.S. states with their Drive Pilot, allowing hands-off driving under certain conditions. Licensing Tesla’s tech could mean inheriting its regulatory baggage, including ongoing investigations by the National Highway Traffic Safety Administration (NHTSA) into Autopilot-related crashes.

Technical Barriers and Competitive Realities

Delving deeper, the technical integration of FSD into rival vehicles is no small feat. Tesla’s system is deeply intertwined with its proprietary hardware, including custom cameras, radars, and the Dojo supercomputer for training AI models. Adapting this to, say, a Ford F-150 would require re-engineering sensor suites and recalibrating algorithms, a process that could cost millions and delay market entry. As Business Insider noted in its coverage, Musk described rival inquiries as tepid, often proposing small-scale pilots with timelines stretching to five years—hardly the aggressive timeline Tesla champions.

Moreover, the competitive landscape is evolving rapidly. Chinese automakers like BYD Co. and Xpeng Inc. are advancing their own AI-driven systems, often at lower costs, challenging Tesla’s dominance. In Europe, Volkswagen AG’s Cariad unit is pushing for software-defined vehicles, while BMW AG partners with Mobileye for advanced autonomy. These efforts reflect a preference for in-house development or strategic alliances over licensing from a direct competitor like Tesla, which could cede market share or data advantages.

Industry insiders point to data sovereignty as another sticking point. Tesla’s FSD improves through over-the-air updates fueled by real-world driving data from millions of vehicles. Licensing it might require sharing telemetry with Tesla, raising privacy concerns and potentially giving Musk’s company an edge in AI training. “It’s like handing over the keys to your data kingdom,” one anonymous auto executive told Teslarati, emphasizing the strategic risks.

Regulatory Hurdles and Market Skepticism

Regulatory environments further complicate licensing prospects. In the U.S., the NHTSA’s scrutiny of Tesla has intensified, with recalls affecting over two million vehicles due to Autopilot issues. Europe imposes even stricter rules; the European Union requires rigorous safety validations for autonomous features, and Tesla has faced delays in rolling out FSD there. Musk lamented on X that “Europe is strangling itself with regulation,” a sentiment echoed in posts about FSD’s limited availability in regions like the Netherlands.

Globally, FSD has expanded to seven countries by late 2025, including recent launches in Australia, New Zealand, and South Korea, as per Teslarati. Yet, this patchwork adoption highlights the jurisdictional challenges. Rival automakers, already navigating their own regulatory paths, may view Tesla’s tech as a liability rather than a shortcut.

Market skepticism also plays a role. Musk’s history of optimistic timelines for full autonomy—documented in a Wikipedia list of predictions dating back to 2013—has eroded trust. Promises of Level 5 autonomy by 2018 evolved into supervised FSD, with unsupervised versions perpetually “six months away.” Investors and competitors alike question whether FSD’s current capabilities justify the licensing fees, especially when open-source alternatives or partnerships with firms like Wayve or Zoox offer more flexible paths.

Economic Implications for Tesla’s Strategy

Economically, Tesla’s push for licensing aligns with its valuation, which hinges on software margins rather than hardware sales. With vehicle deliveries plateauing amid EV market saturation, FSD subscriptions and potential licensing revenue could bolster profits. Analysts at Morgan Stanley estimate that widespread FSD adoption could add $50 billion to Tesla’s annual revenue by 2030, but without partners, that figure shrinks dramatically.

Contrast this with Tesla’s internal advancements. The company has deployed millions of its own AI chips, powering data centers and vehicles, as Musk boasted on X. Collaborations with xAI, Musk’s separate venture, have accelerated FSD development without formal licensing, though he clarified no direct tech transfer occurs. This self-reliance underscores Tesla’s confidence but also isolates it from industry synergies.

For rivals, rejecting FSD might be a calculated risk. General Motors’ Super Cruise and Ford’s BlueCruise are gaining traction, with user satisfaction rivaling Tesla’s offerings in Consumer Reports surveys. By forgoing licensing, they avoid dependency on a competitor whose CEO is known for erratic public statements and shifting priorities.

The Broader Industry Shift Toward Autonomy

Looking ahead, the autonomous vehicle sector is at an inflection point. McKinsey & Co. projects the global market for self-driving tech to reach $300 billion by 2035, driven by robotaxis and freight. Tesla’s Robotaxi unveiling in October 2024 promised unsupervised FSD by 2026, but regulatory approval remains elusive. Rivals like Waymo, operating over 700 robotaxis in the U.S., demonstrate viable paths without Tesla’s involvement.

Yet, some collaboration exists. Tesla’s open-sourcing of patents in 2014 aimed to spur EV adoption, and Musk has reiterated offers to supply batteries and powertrains. Posts on X from Tesla’s official account highlight FSD’s prowess, describing it as driving “like the best chauffeur imaginable” using cameras and AI alone.

Industry experts argue that true progress may require more than licensing deals. “The future of autonomy lies in ecosystems, not siloed tech,” says Raj Rajkumar, a Carnegie Mellon University professor specializing in autonomous vehicles. Partnerships like Honda’s with Cruise or Mercedes’ with Luminar suggest a preference for tailored alliances over off-the-shelf solutions from Tesla.

Strategic Repercussions and Future Prospects

The repercussions of this standoff extend to consumers and investors. Tesla owners benefit from iterative FSD updates, with version 13 reportedly handling complex maneuvers like U-turns and highway merges with aplomb. But for the broader market, fragmented development could delay widespread adoption, prolonging the era of human-driven accidents that claim over a million lives annually worldwide.

Musk’s warnings to legacy automakers evoke a sense of inevitability: adapt or perish in the autonomous age. As Sherwood News put it, “So much for Tesla’s hope of licensing its autonomous driving software to others.” Yet, Chinese firms’ rapid progress, fueled by abundant energy and hardware expertise, as Musk noted on X, poses a greater threat than domestic rivals.

In this context, the refusal to license FSD might reflect not dismissal but divergence. Automakers are charting their own courses, betting on proprietary tech to differentiate in a commoditizing market. For Tesla, it means doubling down on vertical integration, from chip design to software deployment.

As 2025 draws to a close, the automotive world watches whether Musk’s olive branch withers or finds unexpected takers. Perhaps a breakthrough in unsupervised FSD or a regulatory green light could sway skeptics. Until then, the road to autonomy remains a solitary drive for Tesla, with rivals content to navigate their own lanes.

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