For most of human history, the horse was a core technology. Horses provided transportation and physical labor across farms, freight, cities, and armies. Then the automobile arrived, and the horse was out-competed with startling speed. The US horse population peaked in the mid-1910s at well over twenty million animals and then collapsed, falling to around three million by 1960, even as the human population kept growing. Cars delivered far more value for each dollar spent, so the outcome was effectively sealed from the moment mass-produced automobiles rolled off the line. The phrase "this time we are the horses" captures a role reversal. In every previous disruption throughout history, humans were the ones doing the disrupting and reaping the rewards. Now, for the first time, it is human labor itself that is the established technology being out-competed, this time by humanoid robots and AI.
It is worth being clear about what the analogy does and does not claim. It is an economic analogy about a factor of production being out-competed by something cheaper and better, not a claim that humans are biologically like horses or destined for the same literal fate. We are not going to be "sent to the glue factory." We are sentient beings who design, build, and own this technology, and who can choose how its benefits are shared. The horses had no say and no stake in what happened to them. We have both. So the comparison is a warning about the economics of displacement, paired with an opportunity the horses never had.
So yes, humans are vastly more adaptable than horses, and historically that adaptability is the very reason mass technological unemployment has not happened before. As machines took over old tasks, workers retrained and moved into new, complementary roles. But that worked for one specific reason. Each past technology could only perform some tasks, which left other tasks that still needed a human. Retraining had somewhere to go. General-purpose AI and humanoid robots break that pattern, because they can perform the new tasks too. Adaptability only rescues the labor market if there remain jobs that humans can do better or more cheaply than machines, and that is exactly what disappears. You cannot retrain your way out of a situation where the machine can also do whatever you retrain into.
Even setting aside the question of where there is left to retrain to, retraining an entire workforce at the speed this disruption will move is not realistic. The displacement of the horse was largely complete within about fifteen years, and this disruption is expected to unfold on a similar timescale. The comfortable assumption that, for example, the millions of drivers displaced by autonomous vehicles will smoothly become software engineers with a bit of retraining does not reflect reality, especially when those new fields are themselves being automated.
The horse analogy is precise about the economics, namely that a cheaper and better technology displaces an established one quickly and completely, and human adaptability does not save the labor market, because adaptability needs machine-proof work to move into and that is vanishing. But the analogy also carries the hopeful inversion that unlike the horses, we get to decide how this goes and who benefits from it. That is exactly why it matters to face the comparison honestly now, while we still have time to choose.
Explore the evidence...
- The retraining objection is addressed directly in our blog The Painful Truth about AI & Robotics, which notes that horses "didn't end up finding other jobs," and that expecting displaced workers to pivot easily into new occupations with a little retraining is dangerously unrealistic. Read the blog here.
Witness the transformation
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.
