RethinkX | 23 June 2026
There are really two questions hiding inside this one: how much it will cost to buy a robot, and how much the labor that robot provides will cost per hour. The second is the figure that actually drives the disruption, but both are worth taking in turn.
On purchase price, capable humanoid robots are already on the market across a wide range, and the prices are falling fast. Today the cheapest full-size models sell for well under $20,000, with more capable home and general-purpose machines targeting the $20,000 to $30,000 range, and high-end industrial units still running into the hundreds of thousands. The striking part is the rate of decline. One leading manufacturer's average price fell from roughly $85,000 in 2023 to about $25,000 in 2025, and Goldman Sachs reported that humanoid manufacturing costs dropped around 40% in a single year, more than double what analysts had forecast. Several analysts now expect capable units in the $15,000 to $20,000 range within a few years.
These costs fall so steeply for the same reasons that drove down the cost of solar panels and batteries. Technologies ride experience curves, where the cost falls by a consistent percentage with every doubling of cumulative production, and that effect is amplified here by autocatalysis, meaning robots will increasingly build the robots, mine the materials, and generate the energy that goes into them. Add the falling cost of AI and electricity, and the reductions compound. As our Director of Research Adam Dorr puts it, once robots are building all the robots, they will cost far less than $10,000.
The cost that truly matters, though, is the price of robot labor per hour, because that is what competes with human wages. A robot with a lifetime cost of about $10,000 that works roughly 22 hours a day for about 5 years delivers labor at a marginal cost of only around 25 cents an hour, before adding modest amounts for electricity and maintenance. Even at today's higher purchase prices, the per-hour cost already undercuts human labor in many settings, which is why analysts are finding payback periods well under two years. The trajectory we project follows from there. Robot labor enters the market well under $10 an hour, falls below $1 an hour before 2035, and below 10 cents an hour before 2045, on a path toward a marginal cost of labor that approaches zero.
It is also worth noting that the pricing model itself is shifting. Increasingly, robots are offered as a service through monthly subscriptions or hourly rates, already in the range of a few hundred dollars a month or roughly $10 to $30 an hour today and falling. For many users the relevant cost will not be a sticker price at all, but a rate per hour or per month, which lowers the barrier to adoption further.
These figures rest on assumptions about lifespan, working hours, reliability, and purchase price, and they vary with the robot's capability and the task at hand. Early units are less reliable and shorter-lived, the total cost of ownership includes energy, maintenance, software, downtime, and integration on top of the purchase price, and supply factors such as rare-earth materials could cause bumps along the way. But the direction and the magnitude are robust. Robot labor is already cheaper than human labor for a growing set of tasks, the cost is falling steeply and faster than forecasters expected, and it is heading toward near-zero. That conclusion, rather than any single price point, is what matters.
In the span of just fifteen years, the working horse went from providing the vast majority of road travel to a tiny fraction of it. The automobile had arrived, and the fate of the horse was sealed. We are now on the cusp of a disruption every bit as swift and complete, except this time, we humans are the horses.
A convergence of sensors, computing, actuators, and batteries now gives humanoid robots the capability to perform both cognitive and physical work. AI is already taking on cognitive tasks once reserved for people, and humanoid robots are bringing the same capability to physical tasks. For the first time, the supply of available labor can expand as fast as machines can be built and trained. These systems are already approaching cost parity with human labor across much of the global economy, and their cost will keep falling while their capability keeps rising.
This is about far more than cheaper labor. Robots will create an entirely new and vastly larger labor system in which the marginal cost of labor approaches zero. The result will be a sweeping tide of falling costs, rising quality, and explosive productivity that forms the foundation of an era of superabundance. The nations, industries, and individuals who recognize this early, and who choose to protect people rather than jobs, will be best positioned to navigate the transformation and capture its extraordinary benefits.
Learn more about the disruption of labor and its implications for jobs, society, and the economy.
