Artificial Intelligence

John Quigley of the Kleinman Center for Energy Policy at the Weitzman School of Design says that the “data center frenzy” is the primary driver of higher electricity prices for households.

Lynn Wu of the Wharton School says that the profitability of AI technology will be made apparent over time as consumers and businesses identify its best use.

Shiri Melumad of the Wharton School found that, when people rely on large language models to summarize information on a topic for them, they tend to develop shallower knowledge compared to learning through a standard Google search.

In an opinion essay, Mohamed A. El-Erian of the Wharton School writes about the long-term prospects for AI.

While the cost of AI is decreasing, robotics are stubbornly expensive and harder to scale, according to a paper by Ioana Marinescu of the School of Social Policy & Practice and PIK Professor Konrad Kording.

A study by the Wharton School found that 43% of leaders warn of skill atrophy as automation takes over routine work

A Wharton School study found that weekly usage of GenAI nearly doubled over the course of a single year, from 37% in 2023 to 72% in 2024.

A study by Shiri Melumad and Jin Ho Yun of the Wharton School found that people who used a traditional search engine to gather information developed deeper knowledge than those who relied on an AI chatbot.

Penn students are attending the Claude Builder Club, sponsored by AI company Anthropic, to create projects using artificial intelligence.

Jeremy Siegel of the Wharton School says that the biggest risk with AI is whether the technology can be powered more cheaply than current scaling efforts.