Welcome to Thoughts on the Market. I’m Adam Jonas, Morgan Stanley’s Head of Global Autos & Shared Mobility. Today I’ll be talking about an unusual but hotly debated topic: humanoid robots.
It’s Tuesday, July 23rd, at 10am in New York.
We've seen robots on factory floors, in displays at airports and at trade shows – doing work, performing tasks, even smiling. But over the last eighteen months, we seem to have hit a major inflection point.
What's changed? Large Language Models and Generative AI. The current AI movement is drawing comparisons to the dawn of the Internet. It’s begging big, existential questions about the future of the human species and consciousness itself. But let’s look at this in more practical terms and consider why robots are taking on a human shape.
The simplest answer is that we live in a world built for humans. And we’re getting to the point where – thanks to GenAI – robots are learning through observation. Not just through rudimentary instruction and rules based heuristic models. GenAI means robots can observe humans in action doing boring, dangerous and repetitive tasks in warehouses, in restaurants or in factories. And in order for these robots to learn and function most effectively, their design needs to be anthropomorphic.
Another reason we're bullish on humanoid robots is because developers can have these robots experiment and learn from both simulation and physically in areas where they’re not a serious threat to other humans. You see, many of the enabling technologies driving humanoid robots have come from developments in autonomous cars. The problem with autonomous cars is that you can't train them on public roads without directly involving innocent civilians – pedestrians, children and cyclists -- into that experiment.
Add to all of this the issue of critical labor shortages and challenging demographic trends. The global labor total addressable market is around $30 trillion (USD) or about one-third of global GDP. We’ve built a proprietary US total addressable market model examining labor dynamics and humanoid optionality across 831 job classifications, working with our economic team; and built a comprehensive survey across 40 sectors to understand labor intensity and humanoid ability of the workforce over time.
In the United States, we forecast 40,000 humanoid units by 2030, 8 million by 2040 and 63 million by 2050 – equivalent to around $3 trillion (USD) of salary equivalent. But as early as 2028 we think you're going to see significant adoption beginning in industries like manufacturing, production, warehousing, and logistics, installation, healthcare and food prep.
Then in the 2030s, you’re going to start adding more in healthcare, recreational and transportation. And then after 2040, you may see the adoption of humanoid robots go vertical. Now you might say – that’s 15 years from now. But just like autonomous cars, the end state might be 20 years away, but the capital formation is happening right now. And investors should pay close attention because we think the technological advances will only accelerate from here.
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