• Morgan Stanley projects the semiconductor market for humanoid robots will surge to $305 billion by 2045, capturing nearly half of the 2024 global chip market.
  • The value shift is stark: while overall robot costs will plummet, the share of chips in the bill of materials is set to explode from 4-6% today to 24% by 2045.
  • AI processors are the crown jewel, expected to account for a staggering 93% of total semiconductor costs within humanoids by 2045, highlighting the dominance of computational power.

Morgan Stanley has laid out a bold vision for the future of robotics, forecasting that the semiconductor market specifically for humanoid robots will balloon to $305 billion by 2045. This projection, detailed in a new analysis, underscores a fundamental economic shift where the "brain" of the robot—its AI processors and sensors—will become the primary source of value, far outstripping the mechanical body.

According to the bank's research, the current bill of materials for a humanoid robot is around $131,000 per unit. That figure is expected to collapse to just $23,000 by 2045 as manufacturing scales and components mature. Yet, within that cheaper robot, the cost of semiconductors is projected to rise dramatically, increasing its share of the total BOM from a mere 4-6% today to 24% in two decades. "The computational intensity is what will drive value," an analyst familiar with the report noted, emphasizing that the demand for processing power to enable embodied AI and "physical intelligence" will far outpace cost declines in other areas.

The value concentration is extreme. AI processors alone, which enable a robot's decision-making and autonomy, are forecast to grow from representing 67% of total semiconductor costs today to approximately 93% by 2045. The remaining chip value lies in AI vision systems—high-resolution cameras and low-latency processing chips—and analog sensing technology for motion, pressure, and temperature.

This semiconductor forecast is a core component of Morgan Stanley's broader, multi-trillion-dollar outlook for the humanoid economy. The bank anticipates roughly 1 billion humanoid units deployed globally by 2050, driven by an economic imperative: the effective hourly cost of humanoid labor could fall to about $2.60. "When you model that payback period against rising human labor costs, the adoption case becomes compelling in structured environments like factories and warehouses first," said a source briefed on the analysis.

The investment roadmap outlined by the bank suggests a phased approach. In the near term (2025-2030), the focus is on the "picks and shovels"—companies supplying edge GPUs, advanced sensors, and simulation software. The middle phase (2030-2040) is expected to reward full-stack integrators who can control the platform, with potential leaders like Tesla and Figure AI often mentioned by industry observers. The long-term horizon may see services and software overtake hardware in value creation.

Geographic dynamics are also coming into focus. Chinese vendors are already pricing key components at roughly one-third of Western costs, positioning the region as a likely manufacturing hub. Meanwhile, the U.S. and Europe are seen as maintaining an edge in AI software and systems integration, setting the stage for a complex global supply chain.

Morgan Stanley's "Humanoid 100" map identifies a sprawling ecosystem of enablers, from tech giants like Nvidia, Google, and Microsoft leading in AI compute to specialized suppliers of gears, motors, and actuators. The message to investors is clear: while the robots themselves will get cheaper, the silicon inside them will become exponentially more valuable.

Correction: An earlier version of this article misstated the projected share of the semiconductor market. The $305 billion figure represents approximately 49% of the global semiconductor market as it existed in 2024, not the projected 2045 market.