So are we in an AI bubble? Here are clues to look for.

The podcast explores whether the current AI boom is a bubble and examines the potential economic consequences. It presents research challenging the efficient market hypothesis, offering clues to detect bubbles, including high valuations, volatility, issuance, and acceleration. The conversation references the dot-com bubble and the housing market crash as examples of past bubbles and discusses the "lean versus clean" debate on government intervention. It also considers whether bubbles can have positive externalities, such as driving investment in research and development, using the example of dark fiber laid during the dot-com era. The hosts weigh the risks and potential benefits of the AI boom, questioning if it's a bubble and how severe the economic impact might be if it bursts.