Every industry will be affected, but how and when depends on what your industry actually does once you break it down into tasks. That is the key to assessing your own field, because exposure tracks tasks, not job titles. Two people with the same title can face very different futures depending on whether their day is mostly routine, predictable work or mostly judgment, relationships, and improvisation.

It helps to picture two waves arriving in parallel. AI is reaching routine cognitive and clerical work first, in areas such as administration, data entry, customer service, sales, and routine analysis and writing. Humanoid robots are coming for physical work, including manufacturing, warehousing, logistics, driving, agriculture, construction, and cleaning, beginning with the most predictable and structured tasks and extending to messier, more dexterous ones as capability improves. The tasks that hold out longest are those involving complex judgment, high-trust relationships, unpredictable physical environments, heavy regulation, or roles where being human is the point. Notably, the physical jobs that are least exposed to AI today, like cooking or mechanical repair, are precisely the ones humanoid robots are designed to reach as they get cheaper and more capable.

What determines the timing for any given industry is a handful of factors, like how automatable its core tasks are, how high its labor costs and shortages run, how capital-intensive it already is, and how heavily it is regulated. High-cost, short-staffed sectors tend to adopt robots soonest. The disruption also compounds across sectors, so if your industry touches transportation, energy, or food, it is already being reshaped by the parallel disruptions we analyze in those areas.

Within that landscape, here is how the disruption is expected to unfold in a given industry. In the early stages, humanoid robots will have limited capabilities and be relatively expensive, so there will still be high demand for human labor in many sectors, and the effect will look mostly like augmentation. Over time, robots will become significantly cheaper and more capable, allowing them to perform a wider range of tasks, and unemployment and underemployment will become growing social and political issues. In the later stages, robots will be able to perform most of the tasks currently done by humans, and the marginal cost of labor will approach zero.

At that point, societies will need to adapt to a post-labor economy. Governments, businesses, and individuals should begin preparing now for a future in which human labor is no longer the primary driver of economic activity, which is why our guiding principle is to protect people rather than to defend any particular job, firm, or industry.

Explore the evidence...

• Assessing an industry by its task composition, and understanding the sequence from augmentation to displacement, runs throughout our insights into humanoid robotics, which also explain how the labor disruption reinforces the parallel disruptions in transport, energy, and food. Read the insights here.
• AI's first wave is concentrated in knowledge work. A 2025 Microsoft study found that the jobs most exposed to generative AI are knowledge roles such as office, administrative, computer and math work, along with customer service and sales, with translators, writers, and historians scoring especially high. Read the coverage here.
• The physical wave runs the other way. Research finds that roles such as cooks, mechanics, bartenders, and dishwashers have very low exposure to today's AI, while data-entry work is already heavily covered, a reminder that hands-on physical work is exactly the territory humanoid robots are built to enter as they mature. Read Anthropic's analysis here.
• For the underlying logic of why converging technologies reshape whole industries rather than swapping one worker for one robot watch Adam Dorr explain how the shift to humanoid robotics rewrites economics.

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.