Their overview stated that machine learning techniques emphasized causality less than traditional economic statistical techniques, or what’s usually known as econometrics. In other words, machine learning is more about forecasting than about understanding the effects of policy.

That would make the techniques less interesting to many economists, who are usually more concerned about giving policy recommendations than in making forecasts.

Source: Economics Has a Math Problem – Bloomberg View