OpenAI Explored Spinning Off Robotics, Hardware Units

OpenAI CEO Sam Altman explored spinning off the company's robotics and consumer hardware divisions into separate entities late last year, according to a Wall Street Journal report published on May 5. The move was designed to give those experimental units more room to grow without weighing down OpenAI's core AI model business — a critical consideration as the company prepares for a potential initial public offering (IPO).

The plan was ultimately rejected, but the discussions reveal how OpenAI is wrestling with the structural challenges of becoming a publicly traded company while simultaneously pursuing ambitious, capital-intensive moonshot projects.

Key Takeaways

• Sam Altman discussed spinning off OpenAI's robotics and consumer hardware divisions in late 2024
• The separated entities would have raised external funding and operated more independently
• The plan was rejected partly because the new entities might still need to be consolidated on OpenAI's balance sheet
• OpenAI may revisit the idea in the future, potentially adopting an Alphabet-style holding company structure
• Both divisions currently operate independently and report directly to Altman
• The discussions underscore the tension between OpenAI's core AI business and its experimental ventures

Why OpenAI Considered the Split

The logic behind the proposed spinoff is straightforward: Wall Street rewards focus. As OpenAI moves toward a potential IPO — widely expected to be one of the largest tech offerings in recent memory — the company needs to present a clean, compelling financial story to investors.

OpenAI's core business, centered on its GPT models, the ChatGPT platform, and enterprise API services, is generating substantial and rapidly growing revenue. Reports have pegged the company's annualized revenue at over $5 billion, with projections suggesting it could reach $11.6 billion by the end of 2025.

But robotics and consumer hardware are notoriously capital-intensive ventures with long timelines to profitability. Bundling those experimental divisions alongside a high-growth software business risks diluting the financial narrative that would drive a premium IPO valuation. By separating them, OpenAI could let investors evaluate each business on its own merits.

The Alphabet Blueprint: A Proven Playbook

The model OpenAI is reportedly eyeing has a clear precedent: Google's 2015 restructuring into Alphabet. That reorganization separated Google's lucrative search, YouTube, and cloud businesses from exploratory projects like Waymo (autonomous driving) and Verily (life sciences).

Alphabet's structure offers several advantages that could benefit OpenAI:

• Financial transparency: Revenue from core 'cash cow' businesses is reported separately from losses in experimental divisions
• Investor clarity: Analysts can evaluate the core business's performance without noise from long-term bets
• Operational independence: Each unit can develop its own culture, hiring practices, and strategic priorities
• Fundraising flexibility: Subsidiary companies can raise external capital independently, as Waymo has done repeatedly

The comparison is apt. Like Google in 2015, OpenAI sits at an inflection point where its core business is printing money while its experimental divisions require patient, long-term capital. An Alphabet-style structure would let OpenAI have it both ways — maintaining control of promising new ventures while presenting a clean core business story to public market investors.

Why the Plan Was Shelved — For Now

Despite the strategic appeal, OpenAI's leadership ultimately shelved the spinoff proposal. The primary stumbling block was an accounting technicality with significant implications: even as separate legal entities, the robotics and hardware divisions might still need to be consolidated on OpenAI's balance sheet.

Under standard accounting rules, if OpenAI retained significant ownership or control of the spun-off entities, their financial results — including potentially large operating losses — would still appear in OpenAI's consolidated financial statements. This would defeat the entire purpose of the separation.

The challenge highlights a fundamental tension in corporate restructuring. True financial separation requires genuine independence, which means OpenAI would need to relinquish meaningful control over divisions it considers strategically important. That is a difficult tradeoff for a company that sees robotics and hardware as integral to its long-term vision of artificial general intelligence (AGI).

People familiar with the matter told the Wall Street Journal that OpenAI could revisit the idea in the future, particularly if the company finds a structural arrangement that achieves genuine financial separation while preserving strategic alignment.

OpenAI's Growing Hardware and Robotics Ambitions

The fact that OpenAI has distinct robotics and consumer hardware divisions at all underscores how far the company has expanded beyond its origins as a pure AI research lab. Both units reportedly operate independently from the rest of OpenAI and report directly to Altman.

On the hardware front, OpenAI has been linked to discussions about developing a consumer AI device. Reports from early 2024 indicated Altman had been in conversations with former Apple design chief Jony Ive about creating an AI-native hardware product — a device built from the ground up around conversational AI rather than traditional app-based interfaces.

The robotics division reflects OpenAI's renewed interest in physical AI. The company had previously disbanded its robotics team in 2021, but the rapid advancement of large language models and multimodal AI has reopened possibilities for intelligent robotic systems. Several AI companies, including Figure AI, 1X Technologies, and Tesla, are racing to develop humanoid robots powered by advanced AI models.

These are exactly the kinds of ventures that excite long-term technologists but make short-term-focused public market investors nervous. They require years of R&D spending before generating meaningful revenue, and their ultimate commercial viability remains uncertain.

The IPO Pressure Cooker

The spinoff discussions cannot be separated from OpenAI's broader trajectory toward becoming a public company. The company is in the midst of a historic corporate restructuring, converting from its unusual capped-profit nonprofit structure to a more conventional for-profit corporation.

This transition has already attracted intense scrutiny from regulators, attorneys general, and critics — including co-founder Elon Musk, who has filed lawsuits challenging the conversion. Adding complex subsidiary structures on top of an already contentious reorganization would compound both legal and reputational risks.

Key factors shaping OpenAI's IPO calculus include:

• Valuation expectations: OpenAI's most recent private valuation reportedly exceeded $300 billion, making it one of the most valuable private companies in history
• Revenue growth: The company needs to demonstrate a clear path to profitability in its core business
• Competitive pressure: Rivals like Anthropic, Google DeepMind, and Meta AI are investing billions in competing models
• Capital requirements: Training next-generation models requires enormous computing infrastructure, with costs potentially reaching tens of billions of dollars
• Investor sentiment: Public market investors increasingly demand financial discipline from tech companies, unlike the 'growth at all costs' era of 2020-2021

What This Means for the AI Industry

OpenAI's structural deliberations signal a broader maturation of the AI industry. The era of AI companies operating as loosely organized research labs is ending. As these companies seek public market capital to fund increasingly expensive model training and infrastructure, they must adopt the corporate governance and financial reporting standards that public investors demand.

This trend extends beyond OpenAI. Anthropic, backed by over $10 billion in funding from Amazon and other investors, will eventually face similar structural questions. So will other well-funded AI startups like Mistral AI, Cohere, and xAI.

For developers and enterprise customers, the structural changes are largely immaterial in the short term. OpenAI's API services, ChatGPT products, and enterprise offerings will continue operating regardless of how the parent company is organized. However, the long-term implications could be significant: a publicly traded OpenAI will face quarterly earnings pressure that could influence pricing, product roadmaps, and investment priorities.

Looking Ahead: The Road to Public Markets

OpenAI's path to an IPO remains complex and uncertain, but the spinoff discussions reveal a company actively planning for life as a public entity. Several key milestones to watch include:

The completion of OpenAI's nonprofit-to-for-profit conversion, which remains subject to regulatory approval and legal challenges. The resolution of outstanding litigation, particularly Elon Musk's lawsuits. And any formal announcements regarding corporate restructuring or the creation of subsidiary entities.

If OpenAI does eventually adopt an Alphabet-style structure, it could set a template for other large AI companies facing similar challenges. The fundamental tension — between the need for focused financial storytelling and the desire to pursue ambitious, long-term research — is not unique to OpenAI. It is a defining challenge for the entire AI industry as it transitions from the venture-funded lab era to the public market era.

For now, OpenAI's robotics and hardware ambitions remain housed under the same corporate roof as ChatGPT and GPT models. But the fact that Altman seriously explored separating them suggests the conversation is far from over. As the IPO approaches, expect more structural deliberations — and potentially some dramatic organizational changes — in the months ahead.