J.P. Morgan Sees U.S. Humanoid Robot Output Hitting 400,000 by 2030

By Grace Kim

J.P. Morgan expects U.S. humanoid robot production to reach 300,000–400,000 units by 2030 and about 1.5 million units by 2035. Reuters reported the forecast on November 12, 2026, framing a sector the brokerage says is shifting from demonstrations to commercial deployment.

The numbers set the stakes. Labor shortages, improving economics and rising production capacity are driving adoption in manufacturing, logistics and warehousing, where businesses want to automate repetitive tasks. J.P. Morgan's forecast makes production scale as important as task performance — commercial adoption needs robots that can do the work and manufacturers that can supply them in sufficient numbers.

The takeaway in plain words: demand is forming, but the story is now about factories, not demos.

What makes the economics work?

J.P. Morgan estimated that humanoid robot costs are nearing parity with labor costs. Multi-shift deployment — running robots across more than one work shift — could generate about $100,000 in annual savings per customer.

That savings figure puts utilization at the center of the business case. Customers can evaluate deployments against labor availability with a concrete number, not a promise.

Policy could add another incentive. J.P. Morgan said the Trump administration's finding that imported robotics and industrial machinery pose national security risks could lead to tariffs or other measures to boost U.S. production. That support complements the adoption drivers but doesn't remove the manufacturing and technology limits built into the forecast.

Bottom line: the dollars work when robots run long hours — and Washington may tilt the field toward domestic output.

Why can't supply keep up?

Most U.S. humanoid manufacturers other than Tesla are targeting annual production of 10,000–30,000 units, the brokerage said. Those company-level targets show the scale of manufacturing expansion embedded in the broader 2030 and 2035 forecasts, particularly as the industry tries to move beyond demonstrations into commercial use.

Deployment is constrained by hardware, AI training data, compute and production capacity. "Near-term progress remains supply constrained, with a few binding bottlenecks: hands, actuators, the brain, and production capacity," J.P. Morgan said.

The bottlenecks span the robot's physical parts, the resources needed to train its AI, and the factories required to build it. Supply is the immediate constraint on adoption — not demand.

In short: the forecast assumes a supply ramp that most manufacturers haven't yet achieved.

Where does J.P. Morgan see the money?

Component suppliers are the biggest near-term opportunity, the brokerage said. It expects the market for key parts such as actuators, motors and vision systems to approach $30 billion by 2035.

Its favored suppliers:

• Timken
• Robotis
• Leader Drive
• Orbbec
• Cognex

The emphasis on components follows directly from the bottleneck list. Limits on hands and other critical parts can cap how many robots manufacturers deliver, so whoever relieves those constraints captures the first wave of value.

Among U.S. humanoid makers, J.P. Morgan highlighted:

• Tesla's Optimus
• Agility Robotics' Digit
• Boston Dynamics' Atlas
• Figure AI's Figure robots
• Apptronik's Apollo

The brokerage expects value creation to shift over time toward robot makers and platform integrators as output scales.

The pattern: components first, platforms later.

Can supply catch the demand?

The forecast's central question is whether supply can catch up with the economic case for adoption. The near-term opportunity sits in relieving component and capacity constraints. The longer-term value shift depends on robot makers and integrators turning expanded output into commercial deployments.

Watch the bottleneck list — hands, actuators, the brain and production capacity — because that's where the 1.5-million-unit figure will be won or lost.