That question is now visible in an unusual experiment unfolding in Wuhan. Startup GigaAI recently deployed the first batch of 100 SeeLight S1 humanoid robots into real households on a free trial basis, a bid to discover whether ordinary families will embrace a machine that can cook, do laundry, and fold clothes . The trial, set to scale up through the first half of 2027, is China’s first large-scale real-world test of a general-purpose home humanoid—and it exposes the central tension of the entire sector. Factories are poised to produce hundreds of thousands of units, but the evidence of genuine consumer demand is still largely missing .
China now hosts roughly half of all humanoid robot companies worldwide, estimated at around 200 firms . The proliferation is so extreme that the National Development and Reform Commission, China’s top economic planning body, issued a rare public warning in late 2025 about bubble risk in the sector, pointing to more than 150 companies producing remarkably similar robots . Founders and investors openly use the same term that came to define China’s electric vehicle market: involution, or self-destructive competition .
That parallel is not casual. The EV sector saw hundreds of startups emerge, prices collapse, and dozens of companies fold as production far outstripped consumer demand. The humanoid sector, with annual sales still below 20,000 units in China, is already pricing like a mass market—a signal that the price war may be arriving even earlier in the product lifecycle . Analysts at Caixin, Reuters, and several research firms have explicitly drawn the comparison, warning of overcapacity and margin destruction ahead .
A government mandate to put 10,000 humanoid robots into use by 2026 has accelerated production planning regardless of actual commercial pull . Meanwhile, the sector absorbed an estimated $8.15 billion in funding in 2025, a jump of more than 170% year-on-year, with Chinese humanoid robot companies raising nearly 17 billion yuan ($2.4 billion) in the first nine months alone . The Solactive China Humanoid Robotics Index surged nearly 60% through October 2025 before investor unease set in .
By mid-2026, the constraint was no longer building robots—it was finding people to pay for them. Lingyi iTech vice president Philip Yang told CNBC that the company aims to reach 500,000 robots a year by 2030, and that production at that scale could halve the current ~$30,000 price. Morgan Stanley analyst Sheng Zhong supplied the sobering counterpoint: the bottleneck now “is no longer production capacity—it is the list of customers willing to pay” .
Shipments and market share (2025)
Price collapse
Wuhan-based GigaAI’s SeeLight S1 trial is the most vivid illustration of the demand gap. The wheeled humanoid is designed for chores: it can cook, do laundry, clean, and fold clothes, though some tasks—like folding—still take more than 10 minutes . The first 100 units were deployed in employee housing in Wuhan’s Optics Valley in Q3 2026, with free public home trials targeting families with elderly members, children, or pets launching in the first half of 2027 . GigaAI expects to reach a retail price of about $15,000 by mid-2027, and its WeChat account received more than 2,000 messages from people eager to sign up .
The trial is a genuine milestone, but it also lays bare the underlying problem. Companies are spending enormous sums to build robots cheap enough to place in homes—and then giving them away for free just to test whether any viable consumer market exists. As CNBC put it, the question is no longer “can we build it” but “who will buy it” . Some analysts argue the robotics sector may need at least five more years to reach its equivalent “EV moment” of mass adoption. If that’s correct, the current price war is arriving dangerously early .
For now, China’s humanoid industry is a remarkable manufacturing success story and an open question about commercial viability. The robots are real, the prices are falling, and the factories are scaling—but the search for paying customers is only just beginning.
That question is now visible in an unusual experiment unfolding in Wuhan. Startup GigaAI recently deployed the first batch of 100 SeeLight S1 humanoid robots into real households on a free trial basis, a bid to discover whether ordinary families will embrace a machine that can cook, do laundry, and fold clothes . The trial, set to scale up through the first half of 2027, is China’s first large-scale real-world test of a general-purpose home humanoid—and it exposes the central tension of the entire sector. Factories are poised to produce hundreds of thousands of units, but the evidence of genuine consumer demand is still largely missing .
China now hosts roughly half of all humanoid robot companies worldwide, estimated at around 200 firms . The proliferation is so extreme that the National Development and Reform Commission, China’s top economic planning body, issued a rare public warning in late 2025 about bubble risk in the sector, pointing to more than 150 companies producing remarkably similar robots . Founders and investors openly use the same term that came to define China’s electric vehicle market: involution, or self-destructive competition .
That parallel is not casual. The EV sector saw hundreds of startups emerge, prices collapse, and dozens of companies fold as production far outstripped consumer demand. The humanoid sector, with annual sales still below 20,000 units in China, is already pricing like a mass market—a signal that the price war may be arriving even earlier in the product lifecycle . Analysts at Caixin, Reuters, and several research firms have explicitly drawn the comparison, warning of overcapacity and margin destruction ahead .
A government mandate to put 10,000 humanoid robots into use by 2026 has accelerated production planning regardless of actual commercial pull . Meanwhile, the sector absorbed an estimated $8.15 billion in funding in 2025, a jump of more than 170% year-on-year, with Chinese humanoid robot companies raising nearly 17 billion yuan ($2.4 billion) in the first nine months alone . The Solactive China Humanoid Robotics Index surged nearly 60% through October 2025 before investor unease set in .
By mid-2026, the constraint was no longer building robots—it was finding people to pay for them. Lingyi iTech vice president Philip Yang told CNBC that the company aims to reach 500,000 robots a year by 2030, and that production at that scale could halve the current ~$30,000 price. Morgan Stanley analyst Sheng Zhong supplied the sobering counterpoint: the bottleneck now “is no longer production capacity—it is the list of customers willing to pay” .
Shipments and market share (2025)
Price collapse
Wuhan-based GigaAI’s SeeLight S1 trial is the most vivid illustration of the demand gap. The wheeled humanoid is designed for chores: it can cook, do laundry, clean, and fold clothes, though some tasks—like folding—still take more than 10 minutes . The first 100 units were deployed in employee housing in Wuhan’s Optics Valley in Q3 2026, with free public home trials targeting families with elderly members, children, or pets launching in the first half of 2027 . GigaAI expects to reach a retail price of about $15,000 by mid-2027, and its WeChat account received more than 2,000 messages from people eager to sign up .
The trial is a genuine milestone, but it also lays bare the underlying problem. Companies are spending enormous sums to build robots cheap enough to place in homes—and then giving them away for free just to test whether any viable consumer market exists. As CNBC put it, the question is no longer “can we build it” but “who will buy it” . Some analysts argue the robotics sector may need at least five more years to reach its equivalent “EV moment” of mass adoption. If that’s correct, the current price war is arriving dangerously early .
For now, China’s humanoid industry is a remarkable manufacturing success story and an open question about commercial viability. The robots are real, the prices are falling, and the factories are scaling—but the search for paying customers is only just beginning.