Tesla Inc. (TSLA)'s Optimus is built around the biggest ambition in robotics: a general-purpose humanoid that can handle a wide range of physical tasks. But the bigger investment opportunity may not require a robot that does everything.

RoboStrategy, Inc. (BOT) CEO Andrew Kang argues that dominating just one major labor market could be enough to create a robotics company worth hundreds of billions of dollars, or even $1 trillion.

Specialized Robots Can Get Huge

Kang expects robotics valuations to diverge sharply in the coming years, much like AI valuations have over the past few years. Some companies will fail to meet growth or technology expectations, while others could see valuations rise as they reach scaled commercial deployment.

"The companies that will be able to justify their valuations are those that either solve general physical intelligence or hardened their AI and hardware systems to be able to dominate specific physical labor sectors," Kang told MarketDash.

That second path is particularly interesting for investors. Welding, material handling and commercial services may sound less futuristic than a humanoid walking through a factory, but each represents a large pool of physical work that robots could eventually perform.

Kang believes winning a single major labor category could create "centibillion dollar to trillion-dollar robotics companies."

Intuitive Surgical Is the Blueprint

There is already a public-market example of what that can look like.

Intuitive Surgical, Inc. (ISRG) has built a dominant position in robotic-assisted surgery without developing a general-purpose machine. Its da Vinci systems are designed for a specific job: helping surgeons perform minimally invasive procedures.

The model has become enormous. Intuitive ended 2025 with more than 11,100 da Vinci systems installed, while its systems were used in roughly 3.15 million da Vinci procedures that year. Revenue reached $10.1 billion in 2025, up 21% from the prior year.

As of Sept. 29, Intuitive Surgical had a market capitalization of roughly $145 billion.

That makes Kang's comparison more than a theoretical argument. A robot does not need to replicate the full range of human movement to support a massive business; it needs to become valuable enough in a large, repeatable workflow.

Tesla Is Playing a Different Game

Tesla is explicitly pursuing the broader version. The company describes Optimus as a general-purpose, bipedal autonomous humanoid designed to perform unsafe, repetitive or boring tasks.

That ambition could eventually open a much larger addressable market, but it also creates a more demanding technological challenge. Tesla is trying to solve perception, movement, dexterity and interaction with the physical world in one platform.

For investors, Kang's comments suggest watching both paths. The robotics winners may include companies pursuing general-purpose humanoids such as Tesla, but they could also emerge from narrower markets where robots can prove their economic value faster.

The next major robotics valuation story may therefore come not from the robot that can do everything, but from the one that becomes indispensable at one very large job.