The Zhitong Finance App learned that Orient Securities released a research report saying that the certainty of mass production of Tesla (TSLA.US) Optimus at the current node is constantly being strengthened. Looking ahead, future progress in Tesla Optimus mass production is expected to catalyze sector sentiment and drive sector valuations to increase, and related parts companies are expected to continue to benefit.
Orient Securities's main views are as follows:
Mass production of Tesla Optimus continues to advance, which is expected to boost sector sentiment
The bank saw that the market's expectations for the development of embodied intelligence were still low, but with the recent announcement of the Tesla Optimus factory review and mass production progress, sentiment in the robotics sector has been boosted to a certain extent. According to media reports, Tesla's Fremont plant in the US can currently produce hundreds of Optimus units per week, which is about 10 times higher than the weekly production of dozens of units during the small-batch testing phase in the second quarter of this year. Tesla management hopes to establish an automated production line that can operate continuously by the end of this year, with a target production capacity of over 1,000 units per week. The bank believes that the certainty of Tesla Optimus mass production is constantly being strengthened. Looking ahead, future progress in Tesla Optimus mass production is expected to catalyze sector sentiment and drive sector valuation increases, and related parts companies are expected to continue to benefit.
The boom in the emblematic intelligence industry showed a marginal increase, strengthening the certainty of mass production of Tesla humanoid robots
Judging from the latest marginal changes, the bank believes that the popularity of mass production in the intelligent industry is still improving. According to data from the General Administration of Customs, in June-August 2026, the monthly export value of intelligent bionic robots all exceeded 200 million yuan/month, which is a significant increase from the average level of January-May; since May 2026, the number of intelligent bionic robots exported in China has remained at a high level of around 2,000 units. Among them, from January to August 2026, the United States, Japan, South Korea, Germany and other countries have large procurement volumes. The bank believes that the boom in the intelligent industry has provided favorable external conditions for mass production of Tesla humanoid robots and strengthened the certainty of mass production.
With scenario advantages, Optimus mass production is highly deterministic, and related parts companies will continue to benefit
The bank saw that although the market is concerned that the current application scenarios for humanoid robots are limited, the bank believes that humanoid robot crossover manufacturers such as Tesla and Xiaopeng have a natural leading scene advantage. Tesla previously stated during the 2026Q2 phone call that the first batch of offline Optimus will be deployed to collect data from scenarios within the Optimus Academy factory. In addition to this, the bank believes that the Tesla car factory is also expected to become an adaptation scenario for its humanoid robot application, so the bank believes that this scenario advantage provides good internal conditions for mass production of Tesla Optimus. Previously, Xiaopeng Robotics completed the supply chain audit and the targeting of core components. The bank believes that this also confirms that cross-border humanoid robot manufacturers have sufficient momentum for mass production; in addition, media reports indicate that Xiaopeng Robotics' core supplier level and Tesla Optimus may have a high degree of overlap. Looking ahead, the bank believes that Tesla Optimus mass production progress is expected to continue to advance, and related parts companies will continue to benefit.
Risk Alerts
Manufacturers' production falls short of expectations, unclear scenario requirements lead to lower than expectations, industry development slows down due to national policy changes, industry financing falls short of expectations, model development and data collection are slower than expected, order execution results fall short of expectations, and product price reduction risks