BOTTOM LINE: A growing share of the artificial intelligence economy is being built not just on algorithms, but on physical infrastructure – massive data centers, energy-intensive compute, and capital that is increasingly concentrated among a small group of companies. Sen. Elizabeth Warren wants to tax that foundation.
In a Time magazine op-ed published Wednesday, the Massachusetts Democrat argued that the economic gains tied to AI are not being broadly shared. Instead, she said, they are flowing to a narrow set of firms and executives while ordinary consumers face rising costs linked to the technology's expansion.
"Building an economy that works for all of us will require multiple policy responses. But it starts by acknowledging: it's time to tax AI and invest in people," Warren wrote.
Her proposal centers on taxing AI companies directly, with a particular focus on the large data centers that power their systems. These facilities consume large amounts of energy, a key reason Warren wants to target them with a new tax. Warren's approach would scale taxes based on that footprint, writing that "the bigger the data center, the more they pay."
Training advanced AI models and supporting inference at scale require substantial consumption, which has begun to place pressure on local power grids in some regions. Warren proposed an excise tax tied to that usage, arguing it could help offset costs that are increasingly reflected in consumer utility bills. She said families should be able to recover some of those expenses as electricity prices "skyrocket."
