Artificial intelligence stands to displace 10 to 15 percent of total labor hours over the next 10 to 15 years. This transformation creates an immediate problem for the federal government. Two-thirds of current federal revenue comes from labor through payroll and income taxes. As machines replace human work, the primary source of funding for public services faces a decline.
The Fiscal Vulnerability of Current Revenue Systems
Existing tax structures currently penalize employment rather than rewarding it. Payroll taxes place a direct burden on hiring, which makes the human workforce more expensive than necessary during an era of rapid automation. If firms choose to invest in AI rather than people to avoid these costs, the government loses income tax revenue from those displaced workers. This creates a feedback loop where tax incentives accelerate the replacement of humans.
Carter C. Price and Jeffrey B. Wenger analyzed these shifting economic conditions in a new report released August 31, 2026. Their work highlights how the reliance on labor-based taxes leaves the national budget exposed to technological disruption. They note that the current system fails to account for a workforce where human output plays a smaller role in overall productivity.
Framework for Tax Reform
The authors propose a six-part framework to stabilize revenue while protecting job growth. They suggest reducing the business share of payroll taxes to lower the cost of hiring humans. They also recommend implementing a progressive corporate tax based on per-capita profits. This change would shift the focus from taxing labor input to taxing the gains generated by automated efficiency.
Other proposals include aligning long-term capital gains rates with ordinary income tax rates. This would remove the current advantage given to passive investment over active employment. The researchers also advocate for the consideration of a federal value-added tax to broaden the tax base beyond labor. Finally, the framework includes potential wealth taxes and revisions to inheritance tax provisions as ways to capture revenue in an economy increasingly driven by non-labor assets.
Trade-offs and Industry Implications
Every policy option carries inherent trade-offs. A federal value-added tax could hit low-income earners harder if not paired with rebates. Increasing capital gains rates might slow some forms of investment. The authors argue that the goal of reform is not to stop technology but to manage the fiscal shift that follows.
Maintaining revenue requires targeting outcomes rather than picking specific winners or losers in the tech market. A broad-based package would preserve the government’s ability to fund essential programs. As the economy changes, the tax code must follow. Policy makers face a difficult choice between immediate growth and long-term fiscal stability. The challenge remains to find a path that encourages private investment while preventing a total collapse of the tax base.
The broader significance of this research lies in its focus on structural sustainability. For decades, the link between human work and tax revenue has been stable. That link is now fraying. The authors suggest that without proactive updates to tax policy, the fiscal pressure will grow as AI adoption spreads across sectors. Future budget cycles will likely prioritize these debates as the impact on labor hours becomes more visible in employment statistics.