Humanoid Robotics
Why a general-purpose robot is suddenly plausible, what it will cost, who is building it, and why China may already have won the supply chain.
A humanoid robot is a bet that the cheapest way to automate a world built for humans is to build a machine shaped like one. The West leads the AI that gives robots a brain, while China already dominates the body: the motors, joints and supply chain that make up most of the cost.
What this argues
- The 'brain' is nearly solvedAI can now perceive and plan; the hard part is the body.
- Cost is the whole battleA useful humanoid must cost like a car, not a supercar.
- Actuators are the moatThe motors and joints are ~55% of cost, and China owns them.
- China is running its EV playbookVertical supply chain, brutal cost, state backing, again.
- Factory first, home lastStructured work comes years before your kitchen.
What has changed
Updated November 2026
Unitree listed on Shanghai's STAR Market and surged
Unitree priced its IPO at CNY 150.8 per share, raising about CNY 6.1B (roughly $900M) for about a tenth of the enlarged company, at a pricing valuation near CNY 61B (about $9B). Retail demand was reported at more than 8,000 times the shares on offer. On its 19 August 2026 debut the stock rose as much as 629% intraday and closed at CNY 845, up 460%, for a market value of CNY 341.7B (about $50.7B). Sources: Yicai Global, 19 Aug 2026; The Next Web, Aug 2026.
Unitree's profile is now on public record
- Unitree filed for the STAR Market listing on 20 March 2026 and received final CSRC approval on 3 July 2026 (ai2.work, citing press reports).
- The Next Web reported revenue more than quadrupled year on year in 2025, and that first-quarter 2026 net profit fell by close to half.
- Reported 2025 humanoid shipments differ by source: about 5,200 to 5,500 units, versus the figure of roughly 13,000 for the whole industry used in this piece.
Agility Robotics moved to go public through a SPAC
Agility announced on 24 June 2026 a merger with Churchill Capital Corp XI at about $2.5B pre-money, expected to bring more than $620M in gross proceeds and to trade on Nasdaq as AGLT, with closing expected by the end of 2026. Source: ai2.work summary of company announcement, Jun 2026.
Tesla began converting Fremont toward Optimus
Tesla ended Model S and X production at Fremont in May 2026 and began converting the line for Optimus V3, with a stated goal of 1 million units a year. The same report quotes analysts expecting 2026 output in the low thousands, and a January 2026 remark from Musk that deployed units are mainly for learning, not productive tasks. Source: ai2.work, 2026.
China's volume lead is widening beyond Unitree
Zhiyuan (AgiBot) reached cumulative mass production of 10,000 units in March 2026 and sold more than 5,000 units in 2025, roughly matching Unitree, per 36Kr (2026). The same report puts the top five Chinese makers at close to 60% of that market.
Not refreshed: Figure AI valuation ($39B, September 2025; no verified newer round found), total 2025 industry shipments (secondary sources conflict, one cites about 18,000), Tesla's actual Optimus output, bill-of-materials shares and component origin shares, and the Goldman Sachs and Morgan Stanley forecasts.
Why Now
What actually changed
A humanoid robot is a bet that the cheapest way to automate a world built for humans is to build a machine shaped like one. Not because the human form is optimal, but because our factories, homes and tools already assume it.
Humanoids failed for 50 years because they were blind, clumsy and priceless. In the 2020s, all three changed at once. AI gave them sight and judgement; the EV boom gave them cheap motors and batteries.
Why 2025, not 2005
- AI brains: vision-language-action models let robots perceive and plan, not just repeat scripts.
- Cheap actuators: the EV and drone booms drove down the cost of motors, batteries and sensors.
- Data and simulation: robots now learn in simulation and from video, millions of virtual reps.
Why previous attempts failed
| The old way | The new way | |
|---|---|---|
| Control | hand-coded for each task | AI learns general skills |
| Cost | $1M+ research machines | heading for ~$20-30k |
| Senses | brittle, pre-programmed | cameras + learned perception |
| Result | impressive demos, no product | pilots in real factories |
From lab novelty to factory floor
- ASIMO: Honda's walking demo
- Atlas: Boston Dynamics' athletic robot
- Optimus: Tesla enters, promising scale
- Figure + BMW: first real factory pilots
- China scales: Unitree ships thousands, cheaply
- Unitree lists in Shanghai (Aug); Agility announces SPAC merger
~10x cheaper: the cost of a capable humanoid, in a decade
From million-dollar research platforms to Chinese models selling for under $15,000 today, and Tesla targeting $20-30k at volume. Cost, not capability, is now the swing variable.
How They Work
Brain, body and the loop between
How a humanoid turns a goal into an action
- Perceive: cameras and sensors build a live 3-D model of the world.
- Plan: an AI model decides what to do, step by step.
- Act: dozens of actuators move joints to execute the motion.
- Adjust: feedback corrects in real time (balance, grip, force).
A humanoid is a stack of hard problems
- 05 AI model: the 'brain', perception, reasoning, action.
- 04 Software & control: real-time balance, motion and safety.
- 03 Sensors: cameras, force, touch, position.
- 02 Actuators: the motors and joints, ~55% of the cost.
- 01 Battery & frame: power and structure for a full shift.
What's inside a humanoid
Source: Company specifications (representative).
27 degrees of freedom in a single human hand
Replicating that dexterity, to fold laundry, seat a connector, handle a strawberry without crushing it, is the hardest problem in robotics. It is why the 'hands' remain the least solved, most valuable part of the machine.
Most 'robot' demos are more human than they look
- Puppet: a human wears a rig (teleoperated end)
- Scripted: pre-programmed motions
- Assisted: human supervises
- Task-autonomous: handles one job alone
- General: figures it out itself (fully autonomous end)
What still stands in the way
- Hands: human-level dexterity (grasping a cable, a berry) is unsolved.
- Battery: a full 8-hour shift on one charge is still hard.
- Autonomy: reliable, unsupervised behaviour in messy environments.
- Safety: a 70 kg machine working next to people must never fail dangerously.
- Cost: every dollar of bill-of-materials decides the business case.
- Reliability: industrial uptime, years not demos.
The Economics
Does the math work?
Forecasts range from big to staggering
View the data
| Morgan Stanley forecast | |
|---|---|
| 2025 | 20000 |
| 2035 | 13000000 |
| 2040 | 100000000 |
| 2050 | 930000000 |
Source: Goldman Sachs; Morgan Stanley (2024-25); log scale · values read from the chart, approximate
The body, not the brain, is where the money goes
View the data
| Share of cost | |
|---|---|
| Actuators (motors, joints) | 55 |
| Sensors & vision | 15 |
| Compute & battery | 14 |
| Frame & assembly | 9 |
| Hands / dexterity | 7 |
Source: Industry teardowns; SemiAnalysis (2025)
A robot only sells if it beats a wage
| The robot | The worker | |
|---|---|---|
| Upfront / wage | ~$20-50k to buy | $15-40+ per hour |
| Runs | up to 20 hrs/day | 8 hrs/day, breaks |
| Cost/hr | falls toward ~$1-3 | fully-loaded, rising |
| Other | No salary, benefits, turnover | Yes: judgement, dexterity, flexibility |
Why the cost curve decides everything
Source: Illustrative unit economics.
Cost per robot is falling fast
View the data
| Cost per robot | |
|---|---|
| 2023 | 150000 |
| 2024 | 100000 |
| 2025 | 70000 |
| 2027e | 40000 |
| 2030e | 25000 |
Source: Company targets; industry estimates · values read from the chart, approximate
$5 trillion: Morgan Stanley's 2050 market estimate, including services
That figure assumes ~930 million robots in service and treats humanoids as a new labour force. Treat it as a scenario, not a forecast, but it explains why the capital is arriving now.
The Players
Who is building it
Well-funded, and split East-West
- Tesla (Optimus): aiming for mass scale and low cost; ended Model S and X production at Fremont in May 2026 to convert the line toward Optimus V3 (1M/yr is the stated goal).
- Figure AI: $39B valuation; BMW and Amazon pilots; industrial-first.
- Unitree: China's cost leader, full humanoids under $15k, thousands shipped; listed on Shanghai's STAR Market in August 2026.
- Boston Dynamics: the athletic pioneer, owned by Hyundai, now going commercial.
- Agility (Digit): warehouse-focused; among the first in real logistics work; announced a SPAC merger with Churchill Capital Corp XI in June 2026 (about $2.5B pre-money).
- 1X, Apptronik, others: a crowded field of well-capitalised challengers.
A field awash in capital
Source: Company disclosures (2025).
The two models, in one comparison
| Tesla Optimus | Unitree G1 | |
|---|---|---|
| Price | $20-30k (target) | ~$13,500 (today) |
| Build cost | ~$50-100k now | ~$9,000 |
| Strategy | vertically integrated, scale | cheap, iterate fast |
| Edge | AI + brand + capital | supply chain + cost |
| Made in | USA (with Chinese parts) | China, end to end |
AI capability versus manufacturing muscle
A two-by-two of AI / autonomy (vertical) against manufacturing / cost (horizontal). Figure and Tesla sit high on AI, with Tesla further toward manufacturing. Boston Dynamics and Agility sit in the middle on AI, Unitree is strong on manufacturing with middling AI, and Chinese OEMs sit lowest on AI but strong on manufacturing.
Source: Analysis (qualitative positioning).
The China Problem
A familiar playbook
China doesn't just want to build robots, it already builds the parts everyone else needs to build them.
Motors, reducers, sensors, batteries: the humanoid supply chain runs through the Yangtze delta.
China controls most humanoid components
View the data
| Share | |
|---|---|
| China | 63 |
| Japan | 15 |
| US / Europe | 14 |
| Others | 8 |
Source: SemiAnalysis; industry estimates (2025)
One-tenth the cost: Unitree builds a humanoid for ~$9,000
Roughly a tenth of Tesla Optimus's estimated ~$100,000 build cost, because Unitree makes its own motors, reducers and sensors, all within a two-hour logistics radius. Vertical integration, mastered.
We have seen this movie before
- Solar panels. China went from nowhere to ~80% of global production.
- EV batteries. China now dominates cells, materials and refining.
- Drones. One Chinese firm, DJI, took the world market.
- Now: humanoids. Same tools: scale, vertical integration, state backing.
The two theories of the case
| The West wins | China wins | |
|---|---|---|
| Moat / cost | AI moat: the brain is the hard, defensible part | Cost: 70% cheaper bodies, today |
| Trust / volume | Brand & trust: buyers want reliability | Volume: already shipping at scale |
| Industrial base | Reshoring: subsidies rebuild capacity | Supply chain: owns the critical parts |
| Economics | Software margins: value moves up the stack | Speed: iterates faster, cheaper |
Reality Check
Hype versus reality
What humanoids will and won't do soon
| The hype | The reality | |
|---|---|---|
| Home | 'In your home by 2027'. Unstructured homes are hardest | Factories first. Structured, repetitive tasks |
| Labour | 'Replaces all labour'. Dexterity is far from solved | Task-by-task. One narrow job at a time |
| Autonomy | 'Fully autonomous'. Most demos are supervised | Human-in-loop. For years to come |
| Cost | 'Cheap now'. Cheap in China; costly elsewhere | Cost-driven. Adoption follows the price curve |
Six risks a serious investor tracks
- Cost stalls: if actuator prices don't keep falling, the business case breaks.
- Autonomy plateaus: dexterity and reliability may prove stubbornly hard.
- China dependence: supply-chain leverage becomes a strategic weapon.
- Overcapitalisation: too much money chasing too few real deployments.
- Safety incident: one serious accident could set trust back years.
- Labour backlash: displacement politics could gate deployment.
The first million humanoids will work in warehouses and factories, not homes, doing the dull, structured tasks people don't want.
Your house, with its chaos and stakes, is the last place a robot will be trusted.
How this likely unfolds
- pilots and early deployments in factories and warehouses.
- cost crosses wage parity for simple tasks; volumes scale.
- broader commercial use: retail, logistics, some services.
- the home, if dexterity and safety are truly solved.
What to Watch
Signposts, not predictions
Four dials worth watching
Five signposts for the next 24 months
- Does cost keep falling? Wage parity for simple tasks is the inflection.
- Does autonomy improve? Watch unsupervised hours, not scripted demos.
- Do pilots become fleets? BMW, Amazon and others scaling up, or not.
- Can the West localise the body? Or does China own the supply chain?
- Who solves hands? Dexterity is the gate to most valuable work.
Reference
Glossary and sources
Plain-language glossary
- Actuator: a motor-and-joint unit that moves a robot's limb.
- Degrees of freedom: the number of independent joints a robot can move.
- End effector: the 'hand' or tool at the end of a robot arm.
- Teleoperation: a human remotely controlling the robot.
- Autonomy: the robot acting without human control.
- VLA model: vision-language-action AI, the robot's 'brain'.
- Bill of materials: the total parts cost to build one robot.
- Sim-to-real: training in simulation, then deploying to hardware.
The West is teaching robots to think while China is learning to build their bodies for a tenth of the cost. Whoever bridges that gap first won't just win a market, they'll own a new kind of labour.
The five conclusions to take away
- A body problem, not a brain problem: AI is nearly there; hardware isn't.
- Actuators are the moat: the motors are most of the cost, and the risk.
- China owns the supply chain: the EV/solar/drone playbook, run again.
- Cost decides the timeline: wage parity, task by task, not hype.
- Factories first, homes last: structured work years before your kitchen.
Sources & further reading
- Goldman Sachs Research: 'The global market for robots could reach $38 billion by 2035' (2024).
- Morgan Stanley: Humanoid robot market outlook to 2050 (2024-25).
- SemiAnalysis: 'China's Unitree will dominate global robotics' (2025).
- McKinsey: humanoid supply-chain analysis (2025).
- Company disclosures: Tesla (Optimus), Figure AI, Unitree, Agility, Boston Dynamics.
- Industry teardowns: humanoid bill-of-materials and cost estimates (2025).
- Figures marked 'estimate', 'target' or 'illustrative' are compilations; forecasts vary widely.
Sources cited
Goldman Sachs · Morgan Stanley · SemiAnalysis · McKinsey · Company disclosures · Industry teardowns · Company specifications · Yicai Global, Aug 2026 · The Next Web, Aug 2026 · 36Kr, 2026 · ai2.work, 2026 (Agility, Tesla, Unitree filings summary)
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Research, not investment advice. Figures as of , from the sources cited.
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