A growing number of Silicon Valley's most influential investors are publicly questioning whether humanoid robots make practical sense, despite the technology's viral popularity and billions in recent funding. While companies like Agility Robotics prepare to go public and humanoid startups raise record amounts, prominent venture capitalists are steering capital toward wheeled and specialized robots instead, arguing that blindly copying the human form creates unnecessary engineering constraints.

Why Are Top Investors Skeptical of Humanoid Robots?

The skepticism centers on a fundamental design philosophy. Ajay Agarwal, a partner at Bain Capital Ventures who backed Kiva Systems before Amazon acquired it for $775 million in 2012, believes humanoids could prove to be a "parlor trick" with limited real-world applications. His concern reflects a broader view among some investors that robots should be engineered around specific tasks rather than forced into a human-shaped mold.

The practical problems are concrete. Humanoid robots must support heavy battery packs in their torsos, which increases power consumption and creates safety risks from falling. Legs are inherently less efficient than wheels for many warehouse and manufacturing tasks. As Agarwal noted, "There's a reason why humans fly planes and drive in cars. Because wheels and wings are more efficient than walking".

As Agarwal

Jiten Behl, a former Rivian executive and partner at Eclipse Ventures, observed that the human form often makes robots less useful for industrial work. "For the vast majority of tasks that happen inside a manufacturing site, you don't need to walk, and you don't need to stand," Behl explained. "The smartest attempts are going to be those that look at the use case and fit the right form factor to the use case instead of trying to average it out to a humanoid form factor".

Which Investors Are Backing Alternative Robot Designs?

A slate of prominent venture firms have committed significant capital to non-humanoid robotics. Khosla Ventures and former Google CEO Eric Schmidt backed Genesis AI, which unveiled a wheeled general-purpose robot with no head or legs. Bain Capital Ventures and Sarah Guo's Conviction invested in Sunday Robotics, a wheeled home robot startup. Neil Mehta's Greenoaks funded The Bot Company, a wheeled home-robot startup founded by former Cruise CEO Kyle Vogt.

Eclipse Ventures, founded in 2015 to back startups building in the physical world, maintains an extensive robotics portfolio that includes Genesis AI and The Bot Company, but notably excludes humanoids. Instead, the firm has backed autonomous vehicles and robots for warehouses, construction, healthcare, and retail.

How Are Investors Evaluating Robot Form Factors?

Some investors are conducting formal research into what they call the "humanoid fallacy," the assumption that because the world is built for humans, robots must also look human. Ghazwa Khalatbari, an investor at Creandum, became skeptical after watching humanoid demonstrations. "I watched some of the demos and thought, 'This robot is putting a plate in the dishwasher slower than my grandmother,'" Khalatbari said.

This skepticism inspired Khalatbari and Lux partner Deena Shakir to argue that robot bodies should be designed around the job they are meant to do. Physical Intelligence, a Lux portfolio company, is building AI models designed to work across different types of robotic bodies. Khalatbari envisions a future where multiple robot types coexist: "I think humanoids will be one species in a much larger ecosystem. In a hospital 20 years from now, you might have a humanoid helping a patient out of bed, an autonomous cart delivering medication, a pair of dexterous hands sterilizing surgical equipment, and a Roomba cleaning the floors".

What's Driving the Humanoid Investment Boom Despite Skepticism?

Despite investor doubts, humanoid robotics attracted more than $6 billion in funding last year, up more than 300 percent from 2024 totals, according to PitchBook data. Morgan Stanley forecasts the humanoid robot market will reach $5 trillion by 2050, with a billion units in circulation.

The case for humanoids rests on a simple premise: the world is built for people. Elon Musk has defended the humanoid form, arguing that it makes sense if the goal is a robot that can do everything humans can do. "It turns out humans evolved to the shape and capabilities that we have for good reasons," Musk said. "There's value to having four fingers and a thumb".

Jonathan Hurst, cofounder and chief robot officer at Agility Robotics, frames the opportunity in sweeping terms. "If humanoids work, the prize is the entire physical economy. It would be a world where human labor is optional," Hurst stated. "Humans will have this tireless partner to amplify our ambitions and goals".

Which Companies Are Actually Deploying Humanoid Robots?

Several companies are moving beyond concept to real-world deployment. Agility's Digit humanoid robot is deployed across nine customer facilities, including Amazon, Toyota, and logistics company GXO. The company reported more than $300 million in multiyear orders for the next generation of Digit. Figure AI, most recently valued at $39 billion, is starting deployments in logistics and distribution centers. Palo Alto-based 1X plans to ship more than 10,000 home humanoids later this year.

Boston Dynamics, owned by Hyundai, is working to deploy its Atlas humanoid in factories in 2028. Zachary Jackowski, the engineer leading the Atlas program, described the goal as a "software-defined factory," where humanoids can be assigned different tasks as needed.

Steps for Evaluating Robot Technology Investments

• Assess Task-Specific Design: Evaluate whether a robot's form factor is engineered for the specific job it will perform, rather than forcing a generalized humanoid shape onto specialized tasks.
• Compare Efficiency Metrics: Analyze power consumption, speed, and safety profiles between humanoid and alternative designs like wheeled robots to determine which better suits the application.
• Review Real-World Deployment Data: Look at actual customer deployments and multiyear order commitments rather than prototype demonstrations, as these indicate genuine market traction and practical viability.
• Consider Scalability and Cost: Examine whether the robot design can be manufactured at scale and whether the economics support widespread adoption in the target market.

The divide between humanoid believers and skeptics reflects a deeper question about how to approach physical AI. Some investors, like those backing Genesis AI and The Bot Company, believe the future belongs to robots optimized for specific environments and tasks. Others, including those funding Agility and Figure AI, bet that humanoids will eventually prove their worth across a broad range of applications.

Notably, even some humanoid believers draw a line between truly functional humanoids and robots that merely look human. Hurst warned against companies "blindly copying the human form." He noted that Agility's approach involved "15 to 20 years of function-first, physics-first research, understanding exactly why it looks the way it does." Digit, for example, departs from the human form with backward-bending legs designed for warehouse work.

Hurst

China is already pushing aggressively into humanoid commercialization. The government launched a nationwide training program to help commercialize humanoids, giving local governments and state-owned enterprises less than six months to prove the technology can work in production and service settings. Chinese companies like Unitree and UBTech accounted for about 90 percent of humanoid robot shipments last year, according to Omdia. Unitree is preparing to go public and is targeting a valuation of up to $7 billion.

The investor skepticism, while growing, has not slowed the humanoid boom. But it signals that the next phase of robotics development may be less about copying human form and more about matching robot design to real-world problems. Whether humanoids prove to be a transformative technology or an expensive detour remains one of the most contested questions in Silicon Valley's physical AI race.