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研报5月6日 · Morgan Stanley

Robotics: Humanoid Horizons: Money Meets Machines

中文EN⚠ quality lint: see notes

Robotics: Humanoid Horizons: Money Meets Machines

Core Thesis

The humanoid robotics industry has entered a phase of synchronized acceleration across capital deployment, policy support, and early commercial validation. Global venture capital inflows in the first four months of 2026 ($4.9B) have already surpassed the full-year 2025 total ($4.4B), driven predominantly by Chinese funding. Unitree’s 60% gross margin at an ASP of ~$25K provides the strongest real-world proof-of-concept that sub-$30K humanoids can be economically viable. However, critical design choices remain undecided, Tesla’s Gen 3 trajectory carries execution risk, and the competitive moat is migrating toward proprietary real-world data acquisition. Near-term investment opportunities concentrate in precision component suppliers with volume commitments and in integrators with deployed fleets, while speculative dispersion in the Humanoid 100 index (+45% since Feb 2025) demands rigorous bottom-up selection.

Capital Inflows: Intensity and Shifting Geography

Global humanoid venture activity in 2026 YTD ($4.9B) has surpassed 2025 full year ($4.4B) and dwarfs 2024 ($2.0B) and 2023 ($1.0B). Asia accounted for ~46% of YTD flows, with China alone recording 41 financing events in April 2026, up from 16 in April 2025 and 6 in April 2024. The breakdown reveals a "body-first" pattern: in the first four months of 2026, 66 deals targeted hardware components vs. 32 in brain (AI/software) and 23 in integrators. This implies near-term capital is betting on physical manufacturing scaling rather than software convergence.

The funding environment differs meaningfully from previous AI hardware cycles. Tencent’s Project Prometheus (reportedly raising ~$10B at ~$38B valuation) directs capital toward physical AI applications rather than purely digital services. Meta’s acquisition of ARI indicates Big Tech is now willing to acquire early-stage humanoid research teams, mirroring the 2010s talent acquisition pattern in autonomous driving. The risk of a financing bubble is non-trivial: China’s monthly deal count tripled year-on-year in Q1 2026, and doubling again next year seems improbable absent clear revenue inflection.

Commercial Proof Points and Cost Trajectory

Unitree remains the most compelling evidence of a viable business model. In 2025, it shipped 5,500 humanoids, generated RMB 1.7B ($255M) revenue, and delivered RMB 600M ($90M) in adjusted net profit. The 60% gross margin and ~37% adjusted net margin, achieved at a 37% year-on-year ASP decline to RMB 168K ($25K), demonstrate that the sub-$30K price point—widely cited as the mass-adoption threshold—is commercially achievable today. Unitree’s lower-end R1 model is already available globally via AliExpress at $4,000–$7,000, extending the price frontier further.

Industrial deployment is accelerating outside China as well. Siemens is testing HMND 01 in real logistics, achieving 60 picks/hour, >8-hour runtime, and >90% sorting accuracy. 1X’s California factory targets annual capacity of 10,000 units in its first year, scaling to 100,000 by 2027. Figure’s BotQ factory, currently producing ~1 unit/hour, has improved output ~24x over four months. While these volumes are tiny relative to automotive, the production velocity improvement signals that learning-curve effects are operating faster than typical industrial robotics.

Policy and Ecosystem: China Leads, Global Fragmentation

China’s policy framework has evolved from MIIT’s initial Guiding Opinion (Feb 2023) to explicit inclusion in the 15th Five-Year Plan (Mar 2026) as a strategic emerging industry alongside NEVs and aerospace. Local governments (Shandong, Beijing, Zhangjiang) have published quantified production targets (e.g., Beijing 10K units by 2027). Cumulative disclosed government funds for humanoid/embodied AI total ~RMB 187B ($26B), though deployment pace and actual commercial impact remain unverified.

The patent data underscores China’s lead: 8,469 filed patents over the past five years vs. 1,647 from the U.S. and 1,101 from WIPO. This is a forward indicator of supply chain control, particularly in actuators, reducers, and sensor systems. However, the "brain" stack remains contested—world models vs. VLA architectures, with hybrid rule-based systems still dominant for high-precision industrial tasks. Until the software stack stabilizes, hardware commoditization risk persists.

Performance Dispersion and Investment Implications

The Humanoid 100 equal-weighted index has returned +45% since inception (Feb 2025), outperforming MSCI China (+15%), S&P 500 (+19%), and MSCI Europe (+12%), but lagging MSCI Korea (+200%) and MSCI Taiwan (+78%). The dispersion within the index is extreme: top performer Intel (+389%) vs. bottom Dassault Systèmes (-53%). Category-level analysis reveals that Integrators (+50% average 3-month) outperform Brain (+36%) and Body (+27%), suggesting near-term monetization is concentrated in firms delivering complete systems rather than pure components. However, over a 1-month horizon, the gap narrows (Integrators +21%, Brain +14%, Body +12%), indicating momentum may be shifting toward software.

In China’s own value chain, component suppliers like Leaderdrive (harmonic reducers) and Hengli (screws, with Mexico capacity) have secured volume commitments from North American integrators. Zhaowei (hands) expects 2026 revenue of RMB 100M, up from RMB 20-30M in 2025. UBTECH has booked >RMB 1.4B in orders for its Walker S2. These data points validate the supply chain monetization thesis but also highlight binary reliance on a few assemblers.

Key Risks

  • Tesla execution uncertainty: Gen 3 appearance may slip to mid-2026; Fremont production (Jul-Aug 2026) will start "very slowly." The hand design was discarded after WIPO patent filing, indicating rapid iteration cycles that delay serial production.
  • Technical indeterminacy: No consensus on world vs. VLA models for brain; mixed systems still dominate. This delays high-precision industrial adoption and may cause premature hardware investments.
  • China funding sustainability: Monthly 40+ deals is likely a local peak. If financings revert to 20-25/month, many early-stage body companies will face cash constraints.
  • Hardware commoditization: As modules standardize, component suppliers may face pricing pressure, reducing their margins even as volumes grow.
  • TAM model uncertainty: The revenue projection of $7.5T by 2050 assumes 6-year replacement cycles and aggressive ASP declines. A 20% difference in adoption rate or ASP would produce a ~$1.5T swing.

Valuation and Trading View

At current implied multiples, the Humanoid 100 trades at 25-30x forward earnings (estimated aggregate), with the Body segment at 20-25x and Integrators at 30-40x. This is not cheap relative to the technology’s revenue visibility, but the TAM trajectory ($2T by 2040, $7.5T by 2050) anchors long-term optionality. The most attractive risk-reward lies in precision components with visible order pipelines (Leaderdrive, Hengli) and in publicly traded integrators with deployed units and real revenue (Unitree is private; UBTECH trades at 3x forward sales). Avoid names driven purely by index inclusion momentum; the dispersion data shows such stocks can lose half their value within 6 months.


Appendix: Key TAM Estimates (cumulative unit adoption, thousands)

YearGlobalChinaU.S.CommercialResidential
203624,4369,3451,93422,8181,618
2040137,92364,58310,289131,2516,673
20501,019,238302,31677,703935,05284,185

Note: Assumes ASP decline from ~$200K (2024) to ~$75K (2050 high-income) and 6-year replacement cycle.

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