On today’s episode, we have Daniel Rock, an Assistant Professor of Operations Information and Decisions at the Wharton School of the University of Pennsylvania. Daniel’s research focuses on the economics of AI and ML, specifically how digital technologies are changing the economy. Daniel discussed how AI has disrupted the job market in the past years. He also explained that it had created more winners than losers. Daniel spoke about the empirical study he and his coauthors did to quantify the threat LLMs pose to professionals. He shared how they used the O-NET dataset and the BLS occupational employment survey to measure the impact of LLMs on different professions. Using the radiology profession as an example, he listed tasks that LLMs could assume. Daniel broadly highlighted professions that are most and least exposed to LLMs proliferation. He also spoke about the risks of LLMs and his thoughts on implementing policies for regulating LLMs.

Daniel Rock, an Assistant Professor at the Wharton School, discusses his research on the transformative impact of Large Language Models (LLMs) on job markets. He highlights how LLMs can enhance efficiency in tasks like editing and coding while potentially displacing roles, particularly among higher-wage jobs. The conversation dives into the need for organizations and governments to adapt through innovative policies and support systems as the workforce evolves. Rock emphasizes the importance of ongoing research to understand these changes and their implications for various sectors.

Daniel Rock, Assistant Professor of Operations, Information, and Decisions at the Wharton School, discusses the lasting impact of COVID lockdowns on work practices, the reasons behind weak productivity in recent decades, and the importance of digital goods and intangible assets in driving a firm's value. They also share investment advice and recommend influential books and science fiction favorites.