Labor, through income tax and social security contributions, is one of the pillars of the tax systems of almost all countries, and the impact of automation on the tax base — or, in other words, the potential decrease in revenue — is not a new concern. In 2019, Nobel laureate Edmund Phelps proposed a tax on robots to help maintain social benefits. Shortly before, Bill Gates, founder of one of the world’s largest technology companies, Microsoft, which has its own artificial intelligence (Copilot), had suggested applying the same tax burden to robots as would be borne by the workers they replace.
“The trend toward automation and AI could lead to a decrease in tax revenues. In the United States, for example, about 85% of federal tax revenue comes from labor income,” says Sanjay Patnaik, director of the Center for Regulation and Markets at the Brookings Institution. He suggests that governments address “the risks posed by AI” by increasing capital gains taxation rather than creating a specific tax on it, due to the difficulties in designing such a tax and the distortions it could generate. The repeated use of the conditional tense is because the impact of generative AI, the kind capable of creating content on demand, is still uncertain, both in positive terms — improved productivity and economic growth — and negative terms; job losses.
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MIT economists Daron Acemoğlu and Simon Johnson warned about this in 2023. “Over the past four decades, automation has increased productivity and multiplied corporate profits, but it has not led to shared prosperity in industrialized countries,” they cautioned in a document for the IMF.