Brookings Recalls 1939 Machine Tax Debate as Congress Weighs Taxing AI
A Brookings Institution article on taxing artificial intelligence points to a historical precedent: in 1939, Henry Ford opposed taxes on industrial machinery, and a senator soon proposed one. The piece uses that episode to argue for caution when forecasting how technology will affect jobs.
- Brookings says the U.S. has faced uncertainty over technology's labor effects, and debated taxing it, before.
- In 1939 Henry Ford wrote a New York Times op-ed opposing taxes on industrial machinery.
- Within a year, Sen. Joseph O'Mahoney (D) introduced legislative text proposing a tax on machines, which did not gain traction.
- Aggregate employment kept growing through the decades of automation that followed, according to Brookings.
- The article urges caution about predictions in either direction when the range of outcomes is wide.
A familiar argument from 1939
The article, titled "Taxing artificial intelligence: What's on the table, and what's at stake," begins by noting that the U.S. economy has faced this kind of uncertainty before. According to Brookings, this is not the first time the country has been unsure about the labor effects of technological change, and it is not the first time Congress has considered taxing it.
The example it gives is from 1939. Henry Ford wrote an op-ed in the New York Times opposing taxes on industrial machinery. His argument, as Brookings summarizes it, was that even if some jobs were lost, many more would be created.
The tax that never took hold
Ford's intervention was followed quickly by legislative action. Within a year, Sen. Joseph O'Mahoney (D) introduced legislative text proposing a tax on machines.
According to the article, the proposal did not gain traction. Aggregate employment kept growing through the decades of automation that followed. Brookings stresses that this result was not predetermined: it was "no more guaranteed at the time than any single AI scenario is now."
What the comparison is meant to show
The article is careful about what it draws from this history. It says the episode should be taken seriously, but not as a reason to dismiss AI's threat to workers. Instead, it is presented as a reminder that "when the range of possible outcomes is wide, predictions in either direction deserve caution."
That framing cuts both ways. Those who expect AI to displace large numbers of workers, and those who expect new jobs to outnumber the lost ones, are both asked to hold their forecasts loosely. The excerpt does not set out specific tax designs or revenue estimates.
Brookings lists the piece under its Federal Fiscal and Tax Policy and Artificial Intelligence topics. The page also links to a related analysis by Elena Patel and Tracy Gordon dated August 7, 2026, titled "AI tax debate misses the threat that's already here." Brookings states that each of its publications represents the sole views of its authors.
What it means for the AI tax debate
The excerpt suggests that the policy conversation about taxing AI rests on deep uncertainty about labor outcomes. The 1939 precedent shows that proposals to tax new technology have surfaced before, and that one such proposal faded while employment continued to grow. It does not show that the same would happen with AI, and Brookings does not claim it does.
For readers following the debate, the practical takeaway is a call for humility. With a wide range of plausible outcomes, the article argues that confident predictions in either direction deserve scrutiny.
Brookings (AI): Taxing artificial intelligence: What’s on the table, and what’s at stake
