Tesla Delays Optimus Robot Shipments to Late 2027 Amid Hand and AI Challenges
The electric vehicle maker has pushed back the release of its humanoid robots due to unresolved issues with durability, artificial intelligence, and mechanical design.
By Valentina Cruz ·
Tesla has officially shifted its timeline for delivering Optimus humanoid robots to external customers, now targeting late 2027. During the company’s third-quarter 2026 earnings call, CEO Elon Musk acknowledged that the robot’s hands, overall durability, and artificial intelligence capabilities still require significant refinement before they can be sold to other businesses. This delay underscores the persistent technical hurdles that continue to slow the commercialization of general-purpose humanoid robotics.
The three primary obstacles cited by Musk, AI architecture, electromechanical design, and reliability, are not unique to Tesla; they represent the central challenges facing the entire humanoid robot industry. Despite Musk’s assertion that no competitor is close to matching Tesla’s progress, rivals such as XPeng and Boston Dynamics have demonstrated substantial advancements that suggest they are at least as far along in their respective development cycles.
Tesla has initiated early production of the Optimus on its high-volume line at the Fremont factory, the same facility that previously built Model S and Model X vehicles. While the majority of the equipment designed for a potential annual output of one million robots is installed, Musk noted that reaching a production rate of approximately 20,000 units per week will take at least a year, possibly longer. This extended ramp-up period is attributed to ongoing changes in the robot’s design.
Specific hardware components remain the most critical bottlenecks. A Tesla Optimus engineer identified the hand as one of the most difficult areas to finalize, alongside custom gears that still face reliability concerns. Musk agreed, explaining that the fingers must be soft enough to manipulate delicate objects yet robust enough to withstand constant wear, a feat complicated by the fact that robots cannot heal like human skin. These mechanical issues are expected to be resolved by the end of 2027.
On the software front, Tesla is working to refine its AI architecture. Unlike its car fleet, which generates data for Full Self-Driving, Tesla lacks a large robot fleet for training. To address this, the company plans to deploy 10,000 to 20,000 robots in an internal program called the Optimus Academy, where they will practice tasks. Additionally, Tesla intends to integrate its AI5 chip into the Optimus around April 2027. Musk promised a video demonstration within the next one to two months, showing the robot performing unscripted tasks to prove its capability beyond pre-programmed routines.
This latest update follows a pattern of shifting timelines. In 2024, Musk suggested internal use in 2025 and high-volume external production in 2026. By January 2025, he projected the production of about 10,000 robots that year, with several thousand performing useful work by year’s end, a claim he later admitted was not met. The Q3 shareholder letter now describes the current Fremont output as the first "production-quality" bots manufactured by the company, implying previous units were not at that standard.
Competition is intensifying as rivals accelerate their own milestones. XPeng activated an automated production line for its IRON robot in Guangzhou in September, with over 80% of core processes automated. XPeng plans mass production by the end of 2026 and deliveries to stores and malls in the first half of 2027, a timeline comparable to, if not slightly ahead of, Tesla’s. Meanwhile, Boston Dynamics began producing its electric Atlas in January and has secured all its 2026 deployments, including a partnership with Google DeepMind. Hyundai, which owns Boston Dynamics, plans to deploy 25,000 robots across its plants, with Atlas currently learning to sequence car parts at a training center in Georgia.
While Tesla may lead in the number of robots built, the industry consensus is that making them useful is the harder challenge. Competitors like Boston Dynamics have adopted a pragmatic approach to hands, prioritizing sturdy industrial grippers over human-like dexterity to bypass the dexterity issues plaguing Tesla. With rivals already securing committed customers and automating production, Tesla’s late-2027 target will be closely watched to see if the company can finally deliver on its promise of a general-purpose humanoid robot.
Source: Electrek
