JPMorgan Research Report Analysis: Tesla Optimus Mass Production Guidance Falls Short of Expectations, Supply Chain Opportunities Shift to Components
Written by: Rita
Tesla Optimus production has begun in Fremont, but mass production guidance is only 10,000 to 20,000 units, below the market's most optimistic expectations. J.P. Morgan believes that opportunities in the humanoid robot supply chain are shifting from complete machine manufacturers to component suppliers, with Hengli Hydraulic and Sanhua Intelligent Controls being the top picks for Tesla's robot supply chain.
J.P. Morgan noted in a report released on October 22, 2026, that during Tesla's Q3 earnings call, Musk confirmed that Optimus production has started in Fremont and deliveries to other companies may begin as early as the end of next year. However, Musk clarified that production ramp-up will be gradual, with pre-external sales output guidance at 10,000 to 20,000 units, falling short of the market's most optimistic expectations. He described the manufacturing process as an S-curve, emphasizing that getting "ten thousand things right simultaneously" is crucial, with the slowest components or processes determining the entire ramp-up pace.
Mass Production Guidance Below Expectations
The 10,000 to 20,000 unit output guidance provided by Musk falls short of prior market expectations. J.P. Morgan pointed out that this guidance covers a 12-month period and represents internal production before external sales launch. Musk compared the manufacturing process to an S-curve, where the slowest components or processes dictate the overall ramp-up speed. Tesla is deliberately reducing its reliance on the Chinese supply chain, which adds complexity to the ramp-up.
J.P. Morgan believes Tesla's mass production pace is more cautious than some investors anticipated. Production has already started in Fremont, but scaling up takes time. Musk did not provide an exact timeline for external commercial shipments, only stating approximately one year out. Consumer applications are further away, requiring first demonstrations of reliability, safety, and cost-effectiveness.
Hands Remain the Primary Hardware Bottleneck
Hand design, durability, and tactile sensing require improvements, which are critical thresholds for industrial and consumer applications. Musk explicitly stated that hands are the main hardware bottleneck for Optimus. J.P. Morgan noted that achieving human-like dexterity, reliability, and long-duration operation remains a challenge.
The AI5 chip is scheduled to be integrated into Optimus by April 2027. J.P. Morgan highlighted that AI5 computing power is roughly 10 times that of the current AI4, enabling more complex and generalized behaviors. Hardware integration, software stack migration, and real-world task validation are subsequent steps. Musk also mentioned that videos of Optimus performing non-pre-programmed tasks will be showcased within the next one to two months.
J.P. Morgan noted that Tesla did not provide specific updates on visual systems, cameras, or battery technology. The Optimus engineering lead expressed high confidence in the body system. Details on reducers, vision, and batteries remain limited. Hands, onboard intelligence, and computing power roadmaps were the focus of this update.
Internal Deployment Takes Priority
Tesla is building the Optimus Academy, allowing robots to self-play and generate training data. Optimus will initially be deployed inside Tesla factories to perform hazardous or repetitive tasks. J.P. Morgan pointed out that internal deployment enables Tesla to collect proprietary real-world data, validate reliability, iterate on hardware and software, and only then offer them to external customers.
External commercial shipment targets are set for the end of 2027, with consumer applications lagging behind. J.P. Morgan noted that Musk emphasized there is still a long way to go for humanoid robots to achieve industrial-grade automation. Tesla's deployment strategy prioritizes internal use before external sales; internal deployment accumulates data and experience, while external sales must first prove reliability, safety, and cost-effectiveness.
J.P. Morgan's survey at the China International Industrial Fair (CIIF) supports this assessment. The clearest demand comes from suppliers of sensors, 3D vision, data collection equipment, reducers, and dexterous hands, while complete robot manufacturers have not yet become the center of demand. Leadership at Leader Drive stated that Physical AI now accounts for over 35% of their business, with plans for multi-year capacity expansion. Orbbec reported a significant surge in robot-related orders, particularly in data acquisition hardware and 3D vision modules.
Supply Chain Opportunities Shift to Components
Demand remains at the R&D, pilot, and data collection stages, and has not yet entered large-scale terminal deployment. J.P. Morgan pointed out that the gap between humanoid robot demos and industrial-grade automation remains substantial. The bottlenecks lie in perception consistency, operational reliability, and delivering repeatable ROI in real workflows.
J.P. Morgan has grown more selective regarding the Chinese humanoid robot supply chain. Recent rallies in Chinese robotics complete machine manufacturers, led by Unitree and UBTech, are deemed emotion-driven by J.P. Morgan. As the market digests Tesla's more gradual mass production outlook, J.P. Morgan is cautiously positioned on complete machine manufacturers in the near term, seeing disappointment risks over the next 1 to 3 months, especially for Unitree, Estun, and UBTech.
J.P. Morgan continues to favor Hengli Hydraulic and Sanhua Intelligent Controls, both confirmed suppliers in Tesla's robot supply chain. Their stock prices do not yet price in too many Tesla robot optimism expectations, and after pullbacks since H1 2025, their P/E valuations are attractive. Both companies have solid underlying businesses, with valuations near or below their historical mid-cycle averages.
Leader Drive is the top pick for components, with clearer moats, scalability, and Physical AI contribution. Orbbec follows closely, boasting strong tech positioning in 3D vision and data acquisition tools, though near-term profitability risks warrant attention. J.P. Morgan's preference order is: Hengli Hydraulic equal to Sanhua Intelligent Controls (both Overweight) > Leader Drive (Overweight) > Orbbec (Overweight) > Inovance Technology (Market Perform) > UBTech (Market Perform) > Estun equal to Unitree (both Underweight).
Component Valuations More Attractive
Hengli Hydraulic and Sanhua Intelligent Controls have P/E ratios near or below their historical mid-cycle averages. J.P. Morgan considers the recent rise in complete machine manufacturers to be emotion-driven, and expectations need recalibration following guidance below expectations. Component suppliers offer more attractive valuations. Leader Drive's Physical AI contribution is concrete, while Orbbec has strong tech positioning but carries profitability risks.
Key risks include Tesla's production ramp-up lagging expectations, unresolved hand technology bottlenecks, AI5 chip integration delays, postponed external commercial shipments, and increased complexity from localizing the Chinese supply chain. J.P. Morgan remains cautious on complete machine manufacturers in the near term but relatively bullish on component suppliers.
J.P. Morgan maintains Overweight ratings for Hengli Hydraulic, Sanhua Intelligent Controls, Leader Drive, and Orbbec, Market Perform for Inovance Technology and UBTech, and Underweight for Estun and Unitree. With Tesla Optimus mass production guidance below expectations, supply chain opportunities are shifting from complete machines to components. Hengli Hydraulic and Sanhua Intelligent Controls are the top picks, followed by Leader Drive and Orbbec.
Will Optimus be able to complete external deliveries by the end of 2027, and when will the hand technology bottleneck be overcome?
Disclaimer
This article is a compilation and interpretation by TechFlow Research of a third-party broker research report (J.P. Morgan, October 22, 2026), combined with public market information compilation. The ratings, target prices, profit forecasts, and related judgments cited herein represent the views of the respective broker's analysts, reflecting only their institution's stance, not TechFlow Research's views, and do not constitute any investment advice.
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