There’s every reason to slow AI development. But here’s why it probably won’t happen.

A growing chorus of voices argues that advancing artificial intelligence rapidly creates genuine risks of major harm. Those concerns form the central argument for proposals to slow or more tightly control AI development.

Yet the business and investment incentives around AI complicate any move to slow progress. Companies building and deploying advanced systems have attracted substantial market attention and valuation, and investors and executives with financial stakes are unlikely to support measures that could reduce those returns.

Beyond immediate financial interests, a broader dynamic of competition—between firms and between countries—adds pressure to keep moving forward. When multiple actors see advantage in rapid development, unilateral pauses become difficult to sustain because each actor fears losing ground to others.

As a result, the tension between plausible catastrophic risk and strong economic and strategic incentives means that, absent major changes to those incentives or unusually effective coordination, a meaningful slowdown in AI development appears unlikely.