As companies replace human workers with AI 'robots,' they eliminate a crucial source of government funding: payroll taxes. This trend threatens the solvency of programs like Social Security, which rely on a large base of human workers to support a growing retiree population.

To manage AI's labor impact, former Commerce Secretary Gina Raimondo proposes a "grand bargain." This includes tax code reforms to reward companies that reinvest AI-driven savings into job creation, worker retention, and entry-level hiring, shifting focus from pure efficiency to opportunity.

Faced with mass job loss from AI, governments are unlikely to seize assets from the wealthy. The politically easier path is to print massive amounts of money for social support, preserving the existing capital structure while devaluing the currency.

Taxing a specific industry like AI is problematic as it invites lobbying and creates definitional ambiguity. A more effective and equitable approach is broad tax reform, such as eliminating the capital gains deduction, to create a fairer system for all income types, regardless of the source industry.

As companies use AI to do more with fewer people, productivity gains boost profits but don't create jobs at the same rate. This "ghost GDP" concentrates wealth among a few and risks a long-term decline in broad-based consumer spending, as the generated value isn't dispersed to human workers.

Instead of merely replacing jobs, AI will act as a force multiplier on the economy. AI companies will capture value by taking a small percentage—a 'tax'—on the significant productivity gains (e.g., 30-50%) they provide to knowledge workers. This model explains how AI platform revenues can scale to hundreds of billions.

Fears of AI-driven mass unemployment overlook basic capitalism. Any company that fires staff to boost margins will be out-competed by a rival that uses AI to empower its workforce for greater output and market share, ensuring AI augments jobs rather than eliminates them.

The US can grow its way out of its mounting fiscal problems through AI-driven productivity. This creates real growth without wage inflation, expands the corporate tax base, and offsets a poor demographic outlook. This is the most viable path for the US to avoid a fiscal cliff.

As AI investment boosts corporate margins, its negative impact on the labor market is becoming more pronounced. This creates a politically dangerous situation, especially in an election year, suggesting the 'backstop' for the AI boom is less certain than markets have priced in.