Bold claim: humanoid robots aren’t just a niche tech dream—they’re fast becoming a fundamental frontier that could reshape how we work and live. Yet even in Silicon Valley, a healthy dose of skepticism persists. Robots have long been seen as high-risk bets for investors—too complex, too capital-intensive, and, frankly, not exciting enough for many VCs. That mindset is shifting right as artificial intelligence surge, with breakthroughs fueling a renewed push to create humanoid machines that can move and operate like people, and perhaps someday join us in workplaces and homes.
At a recent gathering organized by Modar Alaoui, founder of the Humanoids Summit, more than 2,000 attendees from academia, major corporations, and startups explored what it will take to accelerate this budding industry. Many researchers now believe that humanoids or other embodied AI systems could become a standard, not a novelty. The key question is: how long will the transition take?
Disney is contributing a tangible example: a walking, autonomous version of the character Olaf from Frozen. It will begin roaming Disneyland parks in Hong Kong and Paris next year. While entertainments robots that resemble humans—or a snowman—are already here, the broader goal of reliable, general-purpose robots that can function as productive workers remains years away.
Even in a venue designed to amplify excitement for the technology, serious doubts linger about when truly humanlike robots will find broad traction. Cosima du Pasquier, founder and CEO of Haptica Robotics, who focuses on endowing robots with a sense of touch, pointed out that the humanoid field faces a formidable climb and many problems still require solutions. Her team, a Stanford University postdoctoral researcher, attended the conference soon after launching her startup, noting that the earliest customers may be right there in the room.
Industry analysts see a rapid shift in fortunes: about fifty companies worldwide have each raised at least $100 million to pursue humanoid initiatives, with roughly twenty in China and around fifteen in North America, according to McKinsey & Company. China’s advantage stems partly from government incentives to produce components, accelerate robot adoption, and a policy aimed at establishing a humanoid ecosystem by 2025. Exhibits at the summit showcased Chinese firms prominently, especially Unitree, whose affordable platforms are widely used by researchers in the United States to test and refine software.
In the United States, the AI renaissance—driven by generative tools from OpenAI and Google—has rekindled investor interest in hardware efforts that would give AI a tangible presence. Advances in computer vision and “visual-language” models are helping robots learn from their environments, enabling more capable manipulation and interaction.
Not everyone is convinced. Rodney Brooks, a robotics pioneer and iRobot co-founder, has been a prominent skeptic, arguing that even with vast investments, today’s humanoid robots won’t achieve dexterity quickly. His views circulated widely, even though he didn’t attend the event.
A notable absence was any official statement from Elon Musk on his own humanoid project, Optimus, which Musk has described as potentially extremely capable and market-ready within a few years. The conference organizer, Alaoui, has a background in automotive safety systems and sees parallels between the early days of autonomous cars and the current trajectory of humanoids.
Nearby landmarks—such as Google’s campus—provided a visual reminder of how software-driven progress can translate into real-world robot services: Waymo’s self-driving taxis have become commonplace in some areas, underscoring the pace at which tech evolution can outpace perception. In workplaces, practical robots like Oregon-based Agility Robotics’ Digit are already being deployed in distribution centers, carrying totes with inverted, birdlike legs that accommodate uneven surfaces and dynamic tasks.
Industrial robots, meanwhile, continue to perform dedicated tasks with speeds and precision that current humanoids struggle to match in broader, multi-purpose roles. Trade associations in automation are urging policymakers to craft a robust national strategy to cultivate homegrown robotics—whether humanoids or traditional industrial systems—leveraging existing U.S. AI strengths.
The broader takeaway is nuanced: while the optimism around humanoids is real, the path to widespread, general-purpose robots is complex and not guaranteed. The question now is not whether humanoids will exist, but how quickly they will become economically viable and socially accepted. If you’re watching this space, what do you believe will determine the leader in humanoid robotics—the technology itself, policy support, or the speed at which real-world, useful applications emerge? Share your thoughts in the comments.
