Musk Q3 financial report: Humanoid robots may become the worlds largest industry, with precision components becoming key behind mass production

On October 21st, Eastern Time, Tesla released its third quarter 2026 financial report  held a simultaneous earnings conference call. At the meeting, CEO Musk made a systematic public response regarding the strategic positioning, production pace,  long-term value of the humanoid robot Optimus,  the industry once again focused on the precision component matching capabilities behind the humanoid robot track.

The core fundamental data of this financial report clearly outlines Tesla's current situation: the total revenue in the third quarter reached $28.046 billion, a slight decrease of 0.2% year-on-year, which is basically unchanged; The net profit attributable to common shareholders was $787 million, a year-on-year decrease of 43%; The GAAP gross profit margin rebounded to 19.6%. It is worth noting that, against the back of a slight decline in the delivery volume of the automotive business, the company's capital expenditure for the quarter increased significantly by 110% year-on-year, reaching a scale of 4.732 billion US dollars. The funds are mainly invested in future oriented core tracks such as autonomous driving, humanoid robots, energy storage,  self-developed chips.

Regarding the long-term strategic positioning of humanoid robots, Musk stated in a phone conference that he firmly believes that the entire field of humanoid robots will grow  the world's largest industry. In the long run, the number of humanoid robots worldwide is expected to exceed the total human population.

1、 The core signal conveyed by Tesla's financial report: high expectations are anchored,  the production pace remains rational  cautious

Breaking down  the fundamental dimensions of the financial report, Tesla's Q3 total revenue was $28.046 billion, a slight decrease of 0.2% year-on-year. The net profit attributable to the parent common shareholders was $787 million, a decrease of 43% year-on-year,  the GAAP gross profit margin rebounded to 19.6%. A signal worthy of market attention is that the company's capital expenditures surged by 110% year-on-year this quarter, reaching a scale of 4.732 billion US dollars. The direction of resource tilt is clearly directed towards businesses such as humanoid robots, which represent the future growth curve.

Musk made three key judgments on Optimus' development path during the conference call: firstly, he has a high long-term outlook on the value of the humanoid robot race  is confident that this field will grow  the world's largest industry, with the potential for robot ownership to surpass the total human population in the future; 2、 A clear time threshold has been set for external delivery - it is expected that by the end of next year, Optimus products will only be delivered to enterprise customers outside the Tesla system after all core pain points such as AI capabilities, electromechanical design, overall reliability,  service life of robots have been overcome; 3、 The production capacity planning is extremely ambitious: the Fremont factory has started early trial production, with a planned annual production capacity of 1 million units. The Texas factory is preparing to build a second production line, with a long-term goal of anchoring an annual production capacity of 10 million units. But he also objectively admitted that to achieve an annual output scale of 20000 units per week, it would require at least one year  even longer ramp up period.

The soaring long-term expectations, coupled with a cautious  pragmatic production schedule, have also sounded an alarm for the entire industry: humanoid robots are  a short-term trend that can be blown up,  trial production is still far  large-scale commercial use.  laboratory prototypes  small-scale trial production to large-scale market delivery, there are still many hardware  technical challenges that need to be overcome one by one. Among them, the hand actuator is the core hardware sticking point at the current stage,  this module puts forward very high requirements for the processing level of precision parts, which is also a huge challenge  opportunity for Huiwen Intelligent Manufacturing. Tesla plans to integrate AI5 chips  the entire machine in April 2027 to improve its computing power level,  complete training through internal self game within the Optimus Academy.

2、 Industrial multi-point resonance: software simulation iteration accelerates, virtual real alignment becomes a core new challenge

On the same day, Nvidia announced an upgrade to the Isaac General Robot Development Platform, launching a new humanoid robot reference framework, simulation workflow,  data tools aimed at accelerating the entire development process of general robots. This  covers the entire process of robot training, simulation verification,  deployment, helping developers complete robot training with synthetic data  simulation environment,  complete robot behavior logic verification before actual deployment. Developers can rely on synthetic data  virtual simulation environments to train robots,  complete robot action behavior verification before the physical manufacturing stage, greatly reducing the trial  error cost of algorithm development. However, it should be acknowledged that in the simulation world, humanoid robots can smoothly complete various complex actions. The excellent performance of the simulation environment does  necessarily mean that the physical body can be replicated with the same effect at a 1:1 ratio, especially for the dual arm components with body force control, which have strict requirements for the processing accuracy  assembly fit of the body structure. The ultimate landing effect highly relies on reliable precision components as hardware carriers.

At the World Physical AI Conference  Yushu Partner Ecology Conference held at the same time, Yushu Technology also made an industry consensus judgment: Physical AI has shown signs of breakthrough development,  embodied intelligence wants to usher in its own "ChatGPT moment". The core challenge is how to achieve precise alignment between the input  output instructions of AI models  the real physical robot body.

In other words, the maturity of current large models  simulation tools is constantly improving,  the software iteration speed is fast. However, for virtual algorithms to truly map to the real physical world, stable  reliable hardware carriers are indispensable. Each action instruction output by the algorithm needs to be executed on the ground through joints, dexterous hands, shells,  transmission structural components. Once the precision, consistency,  lifespan of precision components cannot meet the requirements, even the best AI algorithms cannot fully utilize their capabilities. Software  hardware must achieve bidirectional synchronous iteration in order to truly move embodied intelligence  concept to practice. On the chain of "software definition  hardware implementation", Shenzhen Huiwen Intelligent Manufacturing Technology Co., Ltd. plays the role of the "hardware implementation" link.

3、 The practical obstacle to mass production implementation: the prototype is easy to replicate,  the real hard bone is the large-scale yield rate

There is a common phenomenon in the current industry: humanoid robot prototypes that appear in laboratories  exhibitions often perform well, but once they enter the trial production stage, various hardware problems will be concentrated  exposed. The hand actuator problem mentioned by Musk is a microcosm of the common pain points in the entire industry,  also a major test of precision component processing capabilities.

Agile hands  hand actuators contain a large number of irregular thin-walled structural components  micro installation positions, which require extremely strict requirements for machining tolerances, surface treatment,  fatigue resistance. The difficulty of making qualified samples  a single sample is still controllable, but once it is scaled up to the mass production stage, various variables such as tool wear, environmental temperature,  clamping deformation can easily cause problems such as size deviation  part deformation. This also raises higher standards for the process control level of robot component manufacturers. In the process of force control joint module processing, even small deviations may directly affect the feedback control effect.

The joints  dexterous hands of humanoid robots require long-term exposure to high-frequency reciprocating motion,  the consistency of these components directly determines the reliability  service life of the entire machine. If the batch yield cannot be guaranteed, it will  only increase the production cost of individual pieces, but also directly cause machine failures, which is also the most headache point for many machine manufacturers when they move  research  development to mass production stage in the supply chain. To avoid such risks, it is particularly crucial to choose a robot component processing partner with mature experience.

4、 Precision manufacturing strengthens the industrial foundation,  Huiwen Intelligent Manufacturing provides support for the research  production of humanoid robot components

Located in the Shenzhen robotics industry cluster, Shenzhen Huiwen Intelligent Manufacturing Technology Co., Ltd. has been deeply involved in the intelligent manufacturing of robot body hardware, witnessing the entire process of the humanoid robot industry  concept germination to trial production landing.

We focus on the manufacturing of humanoid body mechanical components,  fully undertake the processing of humanoid body components, force control joint module processing,  assembly of embodied body mechanical components. The so-called "supporting manufacturing" is  just about processing drawings  parts, but also about precision forming complex  irregular structural components such as skeletons, joints,  dexterous hands through CNC  five axis machining processes, further completing modular trial assembly verification, finished product assembly,  system debugging,  delivering modular assemblies such as joint modules  dual arm components that have been debugged. After receiving the components, customers no longer need to build the mechanical body  scratch. They can directly connect the electronic control  algorithm system for overall machine debugging, saving a lot of time  trial  error costs for self-assembly  repeated debugging. They focus their research  development efforts on core links such as motion control  algorithm deployment, significantly shortening the overall R&D cycle of humanoid robots - this is the value of collaboration between hardware suppliers  machine manufacturers to improve efficiency.

Huiwen Zhizao has also accumulated rich experience in the selection  processing of lightweight materials. Taking magnesium alloy as an example, the company recently switched the material  6061-T6 aluminum alloy to AZ80 magnesium alloy when mass processing hip joint shells for a certain robot enterprise. The weight of a single piece decreased  275g to 178g,  the total weight of 12 shells decreased by 1.16kg. The vibration amplitude during joint motion also significantly decreased. Magnesium alloy  only reduces weight, but also has damping properties that can absorb joint motion vibrations  improve the accuracy of end effectors. Huiwen Intelligent Manufacturing relies on safety regulations such as magnesium alloy dedicated explosion-proof workstations, air-cooled chip removal,  real-time temperature control, as well as a process parameter library covering AZ31B, AZ80, ZK60  other grades, to achieve a lightweight design requirement of about 35% ( 30% -40%), helping to reduce the weight of the entire machine  optimize the dynamic performance of humanoid robots.

Huiwen Zhizao has a standardized production plant of 20000 square meters, equipped with more than 370 professional processing equipment,  has the full chain service capability of design, intelligent manufacturing,  assembly integration. At present, as the humanoid robot race accelerates forward, this comprehensive strength that balances fast prototyping, flexible mass production,  stable continuous delivery has also become a core consideration for downstream machine customers in selecting supply chain partners, ensuring stable output of various precision components.

The enterprise has obtained dual quality management system certifications of ISO9001  IATF16949,  is a national high-tech enterprise  a specialized  innovative enterprise. Our business covers fields such as humanoid robots, flexible robotic arms, bionic robots, medical robots, etc. We can undertake full cycle OEM services for parts  single piece sampling to medium to large-scale production. At present, we have served a number of listed companies  industry leading institutions such as Lenovo, Xinsong, Xiaomi Ecological Chain,  Beijing Institute of Technology. After a large number of project verifications, the quality of precision component products is stable  reliable.

For complex parts such as dexterous hands, joint shells,  skeleton structural components of humanoid robots, Huiwen Zhizao can cooperate with the R&D end to conduct DFM process evaluation, optimize processing technology based on drawing requirements, adapt to the characteristics of fast version iteration  frequent updates of robot projects,  proactively avoid potential process risks in the mass production stage for customers. If a company is promoting a humanoid robot project  has a demand for robot component processing, it can provide drawings for professional process evaluation  quotation.