• Tesla (TSLA) is struggling to manufacture durable, dexterous hands for its Optimus humanoid robot, according to a report from The Information, jeopardizing its goal of producing over 1,000 units per week by year-end.
  • The company has already cut its 2025 production target from at least 5,000 units to 2,000, people familiar with the matter said, as hand and forearm redesigns disrupted assembly plans and left partially built robots waiting for parts.
  • CEO Elon Musk has called Optimus "the hardest product to scale manufacturing" in Tesla's history, and the challenges highlight the gap between a desired factory run-rate and a validated production ramp.

A Manufacturing Bottleneck Unlike Any Other

Tesla's ambitious humanoid-robot program, Optimus, appears to be running into its most consequential manufacturing bottleneck yet: building hands and forearms that are simultaneously dexterous, durable, compact, and inexpensive enough for high-volume production.

The reported objective of a line capable of more than 1,000 robots per week by year-end has therefore become an execution target rather than evidence of achieved output, according to people familiar with the matter. Tesla's own recent comments emphasize that Optimus is its hardest product to scale.

The Information reported that the issue is not merely that Optimus hands need to manipulate objects well; they must also survive repeated real-world use, fit motors, sensors, and transmissions into a small form factor, manage heat, and be manufacturable reliably at scale. The report indicated that hand and forearm redesigns disrupted assembly plans and left partially assembled robot bodies awaiting those components.

The reported 2025 production ambition was initially at least 5,000 units by year-end and was subsequently cut to 2,000, according to reporting based on people familiar with the program. This illustrates the gap between a desired factory run-rate and a validated production ramp.

During Tesla's Q2 2026 discussion, CEO Elon Musk described Optimus as "the hardest product to scale manufacturing" in Tesla's history, saying that the program lacks an established component supply chain and that virtually every part is new. He also stressed the central challenge: a broadly useful robot needs at least human-comparable hand dexterity.

Tesla has continued engineering work around the hands and arms. Patent-related reporting suggests an effort to shift or centralize actuation and simplify component architecture—directions that could reduce hand mass, friction, inertia, and assembly complexity—but patents and prototypes do not establish commercial durability or scalable yields.

Financial Pressures Mount

Tesla is a large, publicly listed U.S. company headquartered in Austin, Texas. Its core businesses are electric vehicles—Model 3, Model Y, Cybertruck, Semi and related offerings—alongside energy storage and generation, charging, software/AI, autonomy/robotaxi initiatives, and the early-stage Optimus humanoid-robot program. Optimus is not yet a material revenue-generating business, so its near-term role is primarily R&D and capital expenditure rather than sales contribution.

The financial figures show a mixed picture: Tesla has substantial resources—its March 31 balance sheet reported $16.6 billion of cash and cash equivalents plus $28.1 billion of short-term investments—but Optimus competes internally for engineering talent and investment with EVs, energy storage, AI infrastructure, robotaxis, and the Semi.

In Q2 2026, Tesla reported revenue of $28.24 billion, up 26% year over year, but operating income fell 57% to about $0.4 billion, and operating margin was just 1.4%. Free cash flow was negative $1.09 billion, reflecting heavy investment spending. In Q1 2026, revenue was $22.39 billion, up from $19.34 billion a year earlier, and R&D expense jumped to $1.95 billion from $1.41 billion.

On leadership, CEO Elon Musk remains the program's most visible executive sponsor. A notable earlier development was the departure of Optimus vice president Milan Kovac; reporting has said that Ashok Elluswamy's broader AI remit expanded afterward. Separately, reports have described executive turnover across engineering, software, robotaxi, Cybertruck, and finance functions, adding management-execution risk during a complex technology transition.

An Industry-Wide Challenge

The central economic issue is whether humanoid robots can cross the divide from impressive demonstrations to economical deployment. A robot hand has to meet several conflicting requirements: dexterity, reliability, cost, and manufacturability.

TrendForce has also flagged battery-life constraints, hardware/software integration, and efficiency limits in joint motors and transmission systems as broader challenges. The result is an industry shift away from treating humanoids as purely an AI problem: commercial success depends equally on electromechanical engineering, component supply chains, safety validation, and field maintenance.

China is a major competitive factor. Its dense ecosystem for motors, actuators, electronics, batteries, and high-volume manufacturing could make it easier for Chinese makers to turn prototypes into deployable products. One industry estimate cited global 2025 humanoid deliveries of 13,318 units, with Chinese firms accounting for 87%, though such market estimates should be treated cautiously because definitions of "humanoid delivery" vary.

For Tesla, the strategic implication is that building a proprietary supply chain may create long-run control and differentiation, but it is costly and slow in the short run.

Regulatory and Societal Hurdles

In the United States, there is no single OSHA standard specifically for the robotics industry; workplace deployments instead draw on broader occupational-safety obligations and consensus standards. This means Tesla and eventual customers must demonstrate safe integration, guarding, training, risk assessment, emergency procedures, and reliable behavior around workers.

For Europe, a humanoid robot generally falls under machinery, product safety, AI, data-protection, cybersecurity, and liability rules depending on its application. The EU AI Act is the EU's comprehensive AI framework, and workplace or safety-critical uses may be classified as high risk, creating obligations around risk management, technical documentation, logging, human oversight, and post-market monitoring. The EU's new Machinery Regulation is scheduled to apply from January 20, 2027.

Internationally, humanoid robotics is becoming part of industrial-policy competition. The United States emphasizes AI leadership, advanced manufacturing, and reshoring-critical supply chains. China's manufacturing base and robotics policy support rapid scaling of components and factory automation. Europe focuses comparatively more on product safety, worker protection, privacy, accountability, and conformity assessment.

That dynamic could shape where robots are built, which component suppliers emerge, and whether companies deploy robots first in tightly controlled factories rather than homes or public spaces.

What to Watch

The key near-term indicators are more important than headline unit targets: a finalized hand-and-forearm architecture, demonstrated durability across many cycles and real tasks, stable supplier and in-house component qualification, yield and rework data from a pilot production line, evidence of productive internal factory use rather than only controlled demonstrations, and clear separation between internal test units and commercially sellable robots.

A further redesign or constrained ramp would not necessarily invalidate the program, but it would likely defer revenue and raise development costs. Conversely, a durable, lower-complexity hand solution would remove one of the program's largest bottlenecks.

Tesla did not immediately respond to a request for comment.

Correction: An earlier version of this article misstated the timing of Tesla's Q2 2026 earnings discussion. It has been corrected to reflect that the comments were made during the Q2 2026 discussion.