OpenAI Weighed Spinning Off Robotics, Hardware Units

OpenAI CEO Sam Altman explored plans late last year to spin off the company's robotics division and consumer hardware unit into standalone entities, according to people familiar with the discussions. The proposal was ultimately scrapped after internal assessments concluded the new companies would still need to be consolidated on OpenAI's balance sheet, defeating the purpose of financial separation.

The deliberations, which took place as OpenAI accelerates toward a potential initial public offering (IPO), reveal how the $300 billion AI giant is wrestling with the growing complexity of its business empire — and the strategic tension between diversification and focus.

Key Takeaways

• Sam Altman discussed spinning off OpenAI's robotics and consumer hardware divisions into independent companies in late 2024
• The new entities would have been able to raise their own funding and operate autonomously
• The plan was rejected because the spin-offs would still need to appear on OpenAI's consolidated balance sheet
• The move was designed to give both units more room to grow without weighing down OpenAI's core AI business
• The discussions occurred amid OpenAI's broader corporate restructuring and pre-IPO preparations
• The decision highlights the complexity of managing a rapidly diversifying AI conglomerate

Why OpenAI Considered the Split

The rationale behind Altman's proposal was straightforward: give the robotics and hardware divisions the freedom to operate like startups while shielding OpenAI's core business — large language models, API services, and ChatGPT — from the financial drag of capital-intensive hardware ventures.

Robotics and consumer hardware are notoriously expensive businesses. They require massive upfront investments in R&D, manufacturing partnerships, supply chain management, and distribution networks. Unlike software, which scales with minimal marginal cost, hardware businesses burn through cash before generating meaningful revenue.

For a company eyeing a public listing, carrying these capital-intensive divisions on its books could complicate the financial narrative investors want to see. A clean, software-focused income statement with high margins and rapid growth is far more attractive to Wall Street than one muddied by hardware losses and robotics R&D expenses.

The original plan envisioned the spin-offs raising their own venture capital rounds independently, tapping into the booming market for AI hardware and embodied intelligence without diluting OpenAI's core valuation.

The Accounting Problem That Killed the Deal

Despite the strategic appeal, OpenAI's internal review identified a critical flaw: financial consolidation requirements. Even if the robotics and hardware units were set up as separate legal entities, accounting rules would likely require OpenAI to consolidate their assets, liabilities, and losses on its own balance sheet.

This happens when a parent company maintains effective control over a subsidiary — whether through majority ownership, board seats, or operational influence. Simply creating a new corporate entity does not guarantee financial separation in the eyes of auditors and regulators.

The implication was significant. If OpenAI could not achieve true balance-sheet isolation, the entire exercise would amount to little more than organizational reshuffling — adding corporate complexity without delivering the financial clarity that motivated the split in the first place.

This accounting reality is a common stumbling block for tech companies attempting to ring-fence risky ventures. Alphabet's 'Other Bets' structure, for example, separates moonshot projects like Waymo and Verily from Google's core business operationally, but they still appear on Alphabet's consolidated financial statements, dragging down overall profitability metrics.

OpenAI's Growing Hardware and Robotics Ambitions

The fact that Altman even considered spinning off these units underscores how serious OpenAI's ambitions have become in physical AI — a term increasingly used to describe AI systems that interact with the real world through robots and devices.

On the hardware side, OpenAI has been exploring consumer devices that could serve as the next interface for AI interaction, moving beyond smartphones and laptops. Reports have linked Altman to conversations with former Apple design chief Jony Ive about creating a dedicated AI hardware device. The project has attracted significant attention, with estimates suggesting the venture could require $1 billion or more in funding.

On the robotics front, OpenAI re-entered the space after previously shutting down its robotics research team in 2021. The company has:

• Invested in humanoid robotics startups, including a reported stake in Figure AI
• Explored integrating its multimodal models with robotic systems for real-world task execution
• Hired engineers with backgrounds in embodied AI and physical manipulation
• Signaled that robotics represents a major long-term growth vector for the company

These ventures are strategically important but financially risky — exactly the kind of businesses a pre-IPO company might want to keep at arm's length.

The IPO Clock Is Ticking

OpenAI's corporate restructuring has been one of the most closely watched business stories in tech. The company is in the process of converting from its unusual capped-profit nonprofit structure to a more conventional for-profit corporation — a prerequisite for going public.

This transformation has not been without controversy. The original nonprofit board structure was designed to ensure OpenAI's mission of safe artificial general intelligence (AGI) development remained paramount. Critics, including co-founder Elon Musk, have filed legal challenges arguing the conversion betrays OpenAI's founding principles.

Against this backdrop, every strategic decision — including whether to spin off divisions — carries heightened significance. OpenAI must:

• Present a clean, compelling financial story to potential public market investors
• Demonstrate that its core business (ChatGPT, API, enterprise solutions) can generate sustainable revenue
• Manage investor expectations around expensive, long-term bets like robotics and hardware
• Navigate regulatory scrutiny that comes with both the IPO process and AI governance debates
• Maintain its competitive edge against rivals like Google DeepMind, Anthropic, and Meta AI

The decision to keep robotics and hardware in-house, rather than spinning them off, suggests OpenAI ultimately concluded that the strategic value of integration outweighs the financial messiness.

How This Compares to Big Tech's Approach

OpenAI's internal debate mirrors challenges faced by other major technology companies managing diverse business portfolios. Amazon famously subsidized its hardware business (Kindle, Echo devices) with profits from AWS and e-commerce, accepting losses on devices as customer acquisition tools. Google sells Pixel phones and Nest devices at modest margins to advance its AI ecosystem.

The difference is that those companies were already public and profitable when they expanded into hardware. OpenAI, despite its $300 billion valuation and billions in annual recurring revenue, is still pre-IPO and burning significant cash on compute infrastructure and talent.

Anthropic, OpenAI's closest competitor, has taken a more focused approach — concentrating almost exclusively on its Claude model family and enterprise API business. This singular focus makes Anthropic's financial story simpler, though it also limits its long-term optionality in hardware and robotics.

Meta, by contrast, learned the hard way about hardware diversification. Its Reality Labs division, responsible for VR and AR hardware, has lost over $50 billion since 2020, weighing heavily on the company's stock price despite the core advertising business performing well.

What This Means for the AI Industry

OpenAI's shelved spin-off plan reveals several important dynamics shaping the AI industry in 2025:

Convergence is accelerating. The boundaries between AI software, hardware, and robotics are blurring. Companies that started as pure software plays are being pulled toward physical products, and vice versa. Keeping these capabilities under one roof may prove essential for building integrated AI systems.

Financial discipline matters more now. As the AI boom matures, investors are scrutinizing unit economics and path to profitability more carefully. The era of unlimited spending with no accountability is ending, even for market leaders like OpenAI.

Corporate structure is strategy. How AI companies organize themselves — what they keep in-house versus spin off, how they structure equity and governance — will shape competitive dynamics for years to come.

Looking Ahead: What Happens Next

With the spin-off option off the table for now, OpenAI faces the challenge of managing its robotics and hardware ambitions within its existing corporate structure. This means these divisions will compete for resources and executive attention alongside ChatGPT, the API platform, and enterprise sales.

The IPO timeline remains uncertain, but most industry observers expect OpenAI to go public within the next 12 to 24 months. When it does, investors will scrutinize every line item on its financial statements — including whatever losses the robotics and hardware units generate.

Altman has repeatedly signaled that he views OpenAI's mission as extending far beyond chatbots and text generation. Robotics, hardware, and physical AI are central to that vision. The question is whether public market investors will share that long-term perspective — or demand the kind of financial clarity that only a spin-off could provide.

For now, OpenAI has chosen integration over separation. But as the company grows and the IPO approaches, do not be surprised if this debate resurfaces.