Tesla’s Missing 10,000: Is Optimus Falling Behind The Robotics Pack

Tesla's Missing 10,000: Is Optimus Falling Behind The Robotics Pack?

Tesla (TSLA) is valued at more than $1.2 trillion. The automotive business holding that number up is shrinking. Full-year 2025 revenue came in at $94.8 billion, down 3 percent, the company's first annual revenue decline ever. Auto revenue fell 10 percent to $69.5 billion, margins are tighter, and BYD and other Chinese automakers keep gaining global share.

Do the math on what that business is actually worth. Traditional automakers trade around 1.3x sales, versus about 13x for Tesla. See how Tesla's multiples compare with peers Even giving Tesla a generous 3x multiple, well above most mature car companies on earth, the automotive business alone is worth under $300 billion. Strip out the car company, and close to $1 trillion of Tesla's valuation has nothing to do with cars. That's the size of the bet on robotaxis and humanoid robots.

So the bull case has moved from EV leader to physical AI company, and that trillion-dollar gap rests on two things: the robotaxi network and the Optimus humanoid robot. Robotaxi gets most of the attention, but it is behind schedule, and Alphabet's Waymo is already well ahead on deployed scale. But by Musk's own math, Optimus is the bigger number. He has said the robot could eventually be worth more than the rest of Tesla combined, since the market for physical labor is larger than transportation. On a five- to ten-year view, Optimus is arguably the real prize for Tesla.

The question is how far ahead Tesla truly is, and the honest answer is not far.

Should you Buy SpaceX, Sell Tesla: A Case For Switching Musk Stocks

Where Optimus Stands Today

In 2025, Elon Musk projected Tesla would build as many as 10,000 Optimus units that year. It didn't happen. A year later, in January 2026, Musk admitted that zero Optimus robots were doing useful work inside Tesla's own factories, by the company's own account. The current plan is low-volume production starting at Fremont this summer, with Musk warning the ramp rate is hard to predict given the robot has roughly 10,000 unique parts on an entirely new assembly line.

Compare that to what rivals have already shown. Figure AI's older Figure 02 robot worked an active BMW assembly line in Spartanburg for close to a year, logging over 1,250 hours and handling more than 90,000 parts, placing components into welding fixtures with 5-millimeter precision in under 2 seconds. That's an audited proof point of a humanoid doing precision factory work at sustained volume. Agility Robotics' Digit, under a standing deal with logistics company GXO, had passed 100,000 successful warehouse cycles by early this year. Unitree shipped more than 5,500 humanoid units in 2025 alone, about 38% of the global market, starting near $16,000.

Engineering Problems

Dexterous hands remain the hardest unsolved problem in the industry, since packing dozens of precise actuators into a human-sized hand that can withstand years of factory use is far harder than building a single-purpose robotic arm. Battery weight sits high in the body and works against balance for every company building a bipedal robot. Walking reliably on a cluttered factory floor is very different from walking smoothly in a controlled demo, a gap that has tripped up nearly every humanoid shown at a trade show. Beyond movement, robots must also handle unexpected situations without constant human supervision. And even if the technology works, durability, maintenance costs, and overall economics must improve before humanoids can be deployed at scale.

Sure. None of these challenges are unique to Tesla. Figure, Agility, Boston Dynamics, Unitree, and every other humanoid robotics company are wrestling with the same engineering constraints. The difference is that most of those companies are private startups, while Tesla carries a market value above $1.2 trillion. The bar for success is much higher when so much future progress is already reflected in the stock price.

What Tesla Has Solved

Not much on the robot itself that's independently verified, but Tesla's real edges shouldn't be dismissed.

Tesla has already proven two capabilities that matter directly for Optimus: building advanced hardware and manufacturing it at scale. Unlike most robotics startups, Tesla has spent years solving real-world production challenges. Its vision-only approach, already deployed across millions of vehicles through Full Self-Driving, is now being extended to humanoid robotics. The company is also leveraging the same vertically integrated model that powered FSD, including custom chips, in-house motors, actuators, and software. If Tesla can replicate the cost reductions it achieved in automotive hardware, its long-term goal of a $20,000 to $30,000 Optimus becomes far more plausible.

However, chasing single-name moves is its own kind of risk. The Trefis High Quality (HQ) Portfolio takes the other side of that bet: 30 quality names, sized and rebalanced with discipline, and a track record of outpacing the S&P 500, S&P Mid-cap, and Russell 2000.