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An FT opinion piece says the US should push pro-worker AI policies now, including incentives for retraining and redeployment, before large job losses hit.
In short: A Financial Times opinion column argues that big AI companies and the US government should act now to share AI’s economic gains with workers, rather than waiting for major job losses.
Gene Sperling, a former director of the US National Economic Council, writes that public fear about AI is growing, largely because people worry it will replace jobs. He says some tech leaders respond by either warning about disaster or telling people not to worry, and neither approach addresses what families are actually concerned about.
Sperling argues that tech leaders should treat job fears as a real economic issue, not just a public relations problem that could lead to tougher rules. He says the goal should be protecting “economic dignity,” meaning people can earn a living, feel secure, and do work that has value.
He suggests companies should make stronger commitments to retrain and move workers into new roles when AI changes jobs. He points to past examples where large employers offered redeployment, meaning a new job inside the company, instead of just severance pay.
Sperling proposes policies like a “redeployment tax credit,” which would lower a company’s taxes if it pays for apprenticeships and training instead of layoffs. He also lists possible ways to fund this, such as extra corporate taxes or taxes tied to AI usage, like a token or compute tax (similar to charging a fee based on how much a service is used). The key question is whether business leaders will back these ideas before job losses become more visible.
Source: Financial Times