Artificial Intelligence

Research from Penn estimates that generative AI could increase global productivity and GDP by 1.5% by 2035 and nearly 3% by 2055

The Wharton School is introducing a new academic track built around AI, with remarks from Eric Bradlow.

Mohamed El-Erian of the Wharton School discusses the latest market trends, the state of the AI trade, the impact of AI on productivity, and the Fed’s interest rate decision.

About half of finance and accounting professionals now use AI every day, compared with 33 per cent last year, according to a Wharton School study.

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.

A Penn study found that people who used Google learned more better than by using chatGPT.

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.