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A Financial Times opinion piece argues that robots spread faster when governments raise incentives, such as higher minimum wages and public investment.
In short: A Financial Times columnist argues that governments can push more real world robotics by changing incentives for businesses.
A Financial Times opinion column says today’s AI is mostly software that helps with office work, like writing code or sorting information. That can be profitable because it makes high paid workers more productive.
The column argues that physical robots, like machines that clean floors or help on construction sites, often do not look like a good deal for companies. The reason is simple: if human labor is cheap, a costly robot is harder to justify. The author also warns that money flowing into AI for office work could leave fewer dollars for tools that improve productivity in hands on jobs.
The piece points to research on minimum wages and factory robots. It cites a 2026 study led by Stanford professor Erik Brynjolfsson that found a link between a higher legal pay floor and more robot adoption in factories. In the study, a 10 percent higher minimum wage was associated with about 8 percent higher robot adoption.
The author says governments can also speed robotics through industrial policy, which means the state helps steer investment (like giving loans, tax credits, and contracts). The column mentions China, Singapore, and South Korea as places where government support has played a role. It also notes that several US companies have benefited from government contracts and loans in the past.
The big question is which policies lawmakers choose and what trade-offs they accept. Higher minimum wages can raise costs and may reduce hiring in some cases, while public funding can shift money away from other priorities. If governments do act, more robots could show up first in areas like factories and construction, where they can be used like power tools that work on their own.
Source: Financial Times