Two robots, one enormous question

The humanoid robot race has its first real contenders. Tesla's Optimus and Figure's Figure 01 are the two machines getting the most serious attention — and the most serious investment. They're also two very different bets on how to get there.

Understanding the difference matters, because the approach each company takes will shape what these robots are actually good at — and when they'll be genuinely useful to real people.

Tesla Optimus: the in-house approach

When Elon Musk announced Optimus at Tesla's AI Day in August 2021, the initial reveal was… a person in a spandex robot suit dancing. It was easy to mock. The serious robotics community mostly did.

What followed was more interesting. Tesla had a functional prototype walking — awkwardly but genuinely — within about a year. By 2024, Optimus Gen 2 was demonstrating fluid movements, improved hand dexterity, and the ability to perform manufacturing tasks inside Tesla's own factories. In 2025, Tesla began limited production of Optimus units for deployment in its manufacturing lines.

Tesla's core advantage is vertical integration. The company makes its own AI chips, trains its own AI models, and has a massive existing data advantage from its fleet of Autopilot-equipped cars. The same neural network approaches that taught Tesla cars to navigate roads are being applied, in modified form, to teach Optimus to navigate factories and eventually homes.

The stated target price is under $20,000 for mass production — though that figure is aspirational and should be treated skeptically until there's a real product with a real price tag. What's notable is the ambition: Tesla is explicitly positioning Optimus as an eventual consumer product, not just an industrial tool.

The Tesla advantage

Tesla already manufactures hardware at scale. They have chips, AI infrastructure, and manufacturing capacity that most robotics startups would take a decade to build. If they execute, those advantages compound.

Figure 01: the partnership approach

Figure AI was founded in 2022 by Brett Adcock, who previously built and sold a drone logistics company. From the start, Figure's approach was different: build fast, partner with the best, and get real-world deployment data as quickly as possible.

Figure 01 was unveiled in early 2023 and quickly attracted attention for its polished design and surprisingly capable demonstrations. But the real turning point came in 2024, when Figure announced a partnership with BMW to deploy robots in BMW's Spartanburg, South Carolina manufacturing facility — making Figure one of the first humanoid robot companies to achieve meaningful commercial deployment outside a lab.

Figure also secured a landmark deal with OpenAI to integrate advanced language model capabilities directly into its robots. The demos that followed showed Figure 01 having natural conversations, identifying objects, and explaining its own actions in real time — a genuinely different kind of capability than most robots had demonstrated.

Funding has been extraordinary: Figure raised over $675 million in early 2024 at a $2.6 billion valuation, with investors including Microsoft, Nvidia, Intel, and Jeff Bezos. That's not a small startup bet. That's serious strategic capital from people who think this market is very real.

Comparing the two honestly

Let's look at where each robot actually stands across the dimensions that matter:

Physical capability

Both robots can walk, pick up objects, and perform basic manipulation tasks. Tesla Optimus Gen 2 has demonstrated impressive hand dexterity — sorting small objects, handling delicate items. Figure 01 has shown smoother locomotion and more natural movement in some demonstrations. Neither robot is dramatically ahead of the other on pure physical capability as of 2025. Both are improving quickly.

AI and intelligence

This is where the approaches diverge most clearly. Tesla is building its own AI stack from scratch, leveraging its automotive AI experience. Figure has partnered with OpenAI, giving it access to some of the most capable language and reasoning models available. Figure's approach gets it to capable AI faster; Tesla's approach gives it more control and potentially better integration with its hardware long-term.

Real-world deployment

Figure has a meaningful edge here. The BMW factory deployment is real, ongoing, and generating operational data. Tesla is deploying Optimus in its own factories, which is less impressive as a commercial milestone but arguably more demanding as an operational test. Real deployment matters enormously because it reveals problems you never find in a lab.

Price and availability

Neither robot is available for purchase. Tesla has quoted under $20,000 as a target for mass production. Figure hasn't committed to a consumer price. Both timelines are speculative. Don't plan your household budget around owning one before 2027 at the earliest, and even that would require things to go very well.

Company staying power

Tesla is a $500 billion+ company with existing manufacturing, existing AI infrastructure, and a balance sheet that lets it absorb the costs of developing a new product category. Figure is a well-funded startup with exceptional backers. In a long race, Tesla's structural advantages are real — but Figure is moving faster right now and has demonstrated an ability to execute under pressure.

The honest verdict

If you're asking who's closer to a product you can actually deploy in an industrial setting today, Figure has a slight edge: the BMW deployment is real evidence of operational capability, and the OpenAI partnership gives it AI capabilities that are genuinely impressive.

If you're asking who's more likely to produce a mass-market consumer robot at a price that regular people might actually consider, Tesla has the structural advantages: manufacturing scale, vertical integration, and a stated consumer focus that Figure doesn't currently share.

The honest answer, though, is that this is early. Both robots are roughly two to three generations of hardware and software away from being genuinely useful in uncontrolled environments. The lead changes with every major update. Neither company has "won" anything yet.

What both companies are proving is that the humanoid robot category is real and advancing. That, right now, is the most important fact in the story.

The question isn't whether humanoid robots will become real products. It's which companies will be around to sell them when they do — and whether the ones being built today will survive long enough to matter.

What to watch for

A few things to track over the next 12–24 months that will tell you a lot about who's actually winning:

  • Whether Figure's BMW deployment expands or contracts — scaling a factory deployment is much harder than the initial rollout
  • Whether Tesla announces commercial sales of Optimus to third parties, not just internal factory use
  • Battery life improvements — current humanoid robots run two to four hours on a charge, which severely limits real-world utility
  • Hand dexterity benchmarks — the ability to reliably manipulate unfamiliar objects is a key capability gap
  • Any new entrants: companies like Agility Robotics (backed by Amazon), Apptronik, and 1X Technologies are also in this race