Policy & Regulation
Warner proposes data center tax to fund AI worker transition
Sen. Mark Warner proposes taxing data centers to fund worker transition programs, rejecting a moratorium while aiming to address public anxiety over AI-driven job displacement.
On Wednesday, US Senator Mark Warner proposed taxing data centers to fund worker transition programs, such as upskilling—which refers to training programs to help workers transition to new roles. Speaking in Washington, D.C., Warner explicitly rejected a data center moratorium bill introduced the same day by Senator Bernie Sanders and Representative Alexandria Ocasio-Cortez. A data center moratorium is a proposed ban on the construction of new data centers. While Warner opposes halting infrastructure development, he argues that the artificial intelligence industry has an obligation to help mitigate the economic impact of automation.
The legislative tension arrives amid rising public anxiety regarding AI-driven job displacement. In the U.S., entry-level job postings have declined 35% since 2023. Public sentiment reflects this shift; according to an NBC News poll, 46% of registered voters view AI negatively, compared to only 26% who view it positively. Warner noted that AI is easy to demonize as communities grapple with the physical infrastructure required to power these systems. The Senator questioned which part of the technology supply chain should fund these transitions, asking whether the burden should fall on chip manufacturers like Nvidia, AI developers like Anthropic, or financial institutions like Goldman Sachs that use AI tools.
Ultimately, Warner argued that taxing data centers is the most practical approach. He warned that halting development through a moratorium would carry severe geopolitical consequences. “A data center moratorium simply means China is gonna move quicker, and this is one where we can’t lose,” Warner said. Rather than a ban, he suggested that local communities find ways to extract financial concessions from the sector. As a model, he pointed to Henrico County, Virginia, which successfully utilized tax revenue from a local data center to fund an affordable housing project. The debate is particularly acute in Virginia, where data center tax breaks have cost the state and localities nearly $2 billion a year in lost tax revenue.
Why it matters
Warner’s proposal signals a shift in the political debate from simply blocking AI infrastructure to extracting financial concessions from the industry to mitigate economic displacement. It highlights the growing tension between the need for AI compute and the political reality of community backlash.