Tech giants face growing backlash as AI threatens jobs. Gene Sperling argues that without sharing AI gains, public anger will deepen. He cites surveys that show widespread fear of job loss, urging leaders to move beyond token taxes and instead fund retraining and wage growth for workers and communities across the nation. This shift could reshape the tech industry.

Sperling warns that AI’s productivity gains will not erase the anxiety over standard of living. He cites examples of AT&T and JPMorgan offering redeployment plans post‑war, suggesting modern firms could adopt similar strategies. A proposed redeployment tax credit in Singapore could cover up to 75% of training costs, incentivizing companies to invest in people and growth.

The piece argues that a public policy framework is needed to ensure AI benefits reach workers. It proposes a corporate surtax that would offset automation expenses, funding apprenticeship subsidies. Critics warn of deadweight loss, but Sperling argues a competitive application process could mitigate waste. The goal is higher wages and stable employment for communities and investors today.

If tech leaders ignore these calls, the risk of regulatory backlash grows. Investors will likely penalize firms that fail to demonstrate shared value. Meanwhile, workers face uncertain futures as automation accelerates. The debate over redistribution versus pure profit will shape market dynamics and could dictate the next wave of tech investment for future growth in the sector.