Allison Nathan hosts a discussion with Eric Sheridan and Kash Rangan from Goldman Sachs Research about the possibility of an AI bubble. They discuss the infrastructure, platform, and application layers of AI development, noting the surprising amount of capital being spent on infrastructure and the slower-than-expected progress in enterprise applications. They address concerns about a potential bubble, with Eric pointing out signs of exuberance and circular investments reminiscent of past tech booms, while Kash highlights the unique nature of the current cycle, where capital is coming from well-funded hyperscalers. Both analysts emphasize the importance of monitoring utility, adoption, monetization, free cash flow, and the emergence of debt-funded entities to assess the sustainability of the AI market.
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