Investing in equities tied to the AI boom carries enormous uncertainty. Trillions of dollars are now being poured into artificial intelligence infrastructure, chips, data centers, and automation platforms — but trillions in spending do not automatically translate into trillions in profits.
The core economic question remains unresolved: how will many of these companies generate sustainable long-term earnings without simultaneously displacing millions of workers and weakening overall consumer demand?
That is why governments are beginning to explore new taxation models tied directly to AI-driven productivity gains. As of May 2026, South Korea is actively considering taxes on the “excess profits” of AI-related industries, particularly semiconductor and automation firms, in order to fund a proposed “national dividend” or “people’s dividend.”
The logic is straightforward: if AI dramatically increases productivity while reducing labor participation, governments may eventually need mechanisms to redistribute part of those gains back into the broader economy.
The United States will likely face similar pressures. Without some form of adjustment, the combination of mass automation, concentrated corporate profits, and declining wage participation could become economically and politically destabilizing.