Harvard researchers warn that AI companies chasing profit without ethics face the same crashes as financial firms did in 2008

A Harvard Gazette article draws a parallel between unchecked profit-driven behavior in finance and the current approach some AI companies are taking—cutting corners on safety testing, transparency, and responsible deployment to move faster and reduce costs.

The key difference from past scandals: AI systems make decisions at scale (loan approvals, hiring, content moderation) affecting millions of people simultaneously, so a single flawed system can cause widespread harm before anyone notices the problem.

For business leaders and investors, this means companies that skip safety steps to maximize short-term returns may face sudden regulatory crackdowns, lawsuits, or forced shutdowns—just as banks did after 2008. Conversely, companies investing in robust AI governance now are building competitive moats that regulators will trust.