Behind the Markets Podcast: Daniel Rock

06.24.2023 - By Behind the Markets on Wharton Business Radio Play

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Show from 6/23/23

Jeremy Schwartz and Prof. Siegel discuss how the recent job reports and global manufacturing data have raised concerns about a softening economy. Federal Reserve Chairman Powell provided no new information during his congressional appearance, and remains committed to anticipated interest rate hikes. Additionally, the housing market continues to experience a significant surge in prices, which may impact consumer spending in the future.

Prof. Daniel Rock and Prof. Siegel discuss the rapid adoption of chat GPT and the surprising capabilities of AI models, particularly in generating plausible texts. Chris and Prof. Rock discuss the deflationary benefits of new technologies like AI, comparing it to Moore's Law, and emphasize the importance for businesses to ride the wave of technological advancements rather than trying to be at the forefront. They also discuss the geopolitical dynamics of the AI battle, emphasizing the need for accessibility and acknowledging the potential for competition in regions like China and India. Tune in to hear all about the geopolitical dynamics of the AI battle, the potential of large language models, and the use of AI in education and research on this week's episode.

Guest:

Professor Daniel Rock an Assistant Professor of Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. His research is on the economic effects of digital technologies, with a particular emphasis on the economics of artificial intelligence. He has recently worked on studies addressing the types of occupations that are most exposed to machine learning, measuring the value of AI skillsets to employer firms, and adjusting productivity measurement to include investments in intangible assets. His research has been published in various academic journals and featured in outlets such as The New York Times, Wall Street Journal, Bloomberg, Harvard Business Review, and Sloan Management Review. Much of his work involves applying cutting-edge data science techniques to analyze datasets from financial market data sources, online resume sites, and job postings.