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Senior lecturer Otto Scharmer wrote: "Being alive on this planet at this Axial juncture, where we can see the potential for both civilizational collapse and profound civilizational regeneration, and thus being part of a generation that has the opportunity to tip the balance in one direction or another, is perhaps the most meaningful gift anyone could hope for."

Professor Simon Johnson discussed how six sectors may determine the future of America's technology leadership in this "Bloomberg Talks" podcast episode.

Institute Professor Daron Acemoglu acknowledged that for a while, we're going to see all sorts of conflicting evidence about AI: anecdotes that college grads are finding the job market worse and worse, but no noticeable effect of AI on productivity, for example. "There's a huge amount of uncertainty," he said.

Professor of the practice Gary Gensler joined "Bloomberg This Weekend" to discuss the SEC's move to end the quarterly reporting requirement. "Economic study after economic study has shown that quarterly reporting is a good thing. It creates a market environment where you can get a little higher price earnings ratio and a little less cost of capital because your investor base knows what's going on," Gensler said. (1:09:34)

In recent years, one of the most talked-about concepts in the business world has been "quiet quitting," an employee consciously refraining from doing more than what is required. Many employees feel a lack of open communication within the organization. This creates an "invisible silence" within the organization. While managers think everything is fine, a different reality prevails on the ground. Professor of the practice Zeynep Ton emphasized that this situation is directly related to performance: "Companies that don't listen to their employees' voices also lose operational efficiency."

Professor Andrew W. Lo said that AI struggles with tax optimization, doesn't understand regulatory nuance and — unlike a human financial adviser — isn't subject to legal requirements, such as acting in a client's best interest. He stressed that it's important to ask critical questions when using AI for retirement advice, such as prompting an AI to say where it might be wrong and to list its assumptions and uncertainties.