Twenty years from now, will historians say Washington destroyed the dollar’s dominance? Professor Barry Eichengreen @B_Eichengreen says the answer may depend on what happens right now. Listen to the full discussion: tinyurl.com/TDIPod #USD #Economy #Markets #Investing

Hundreds of companies. Dozens of industries. Governments and militaries too. Every one of them already had the answers inside the building. Somebody there knows exactly what needs to be done. What's missing is a pathway for what they know to surface, and a mechanism for the organization to challenge itself before success makes it complacent. Bryce Hoffman on Lead with Purpose. New episodes out now. @rgmcgrath @AidanMcCullen @brendangdowling @JoAnnGarbin @Caroline_Webb_ #leadwithpurposepodcast #newpodcast #leadership #CEO #leadwithpurpose #RonBoire #OrganizationalCulture

MIT published a brutally honest report on what AI is doing to students. A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet. Study groups are disappearing. Office hours are emptying out. Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum. Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle. The numbers are rough. 46 percent of surveyed MIT undergrads use LLMs daily. 90 percent worry about their own overreliance. Undergrads who feel AI makes them replaceable now outnumber those who feel it makes them capable. The committee's answer surprised me. They refused to fight AI with surveillance. The report calls AI detectors unreliable, says lockdown browsers feel like spying, and warns that policing students builds a classroom atmosphere of mutual distrust. Instead, MIT wants to rebuild education around the things AI can't replace. That means oral exams, semester portfolios, in-person project work, and a required social component in every subject. The report even floats the idea of rethinking grades entirely, since without a GPA to optimize, much of the incentive to cheat with AI evaporates. The committee warns professors against replacing undergrad research assistants with AI agents just because they're cheaper, because a university exists to grow people, not output. The most famous tech school on earth admitted the machines broke its way of teaching. Its answer is more humans, not more software.

The promise of AI is real. The anxiety people feel about AI's affects on the workforce is also real. We need to create a bridge for people to the next chapter of work. That's what we're focused on at @raiseus_ai: Building America's people strategy in the age of AI. Take a listen to my recent chat with Evan Osnos of @NewYorker #ThePoliticalScene and chime in. podcastrex.com/shows/the-pol…

there are no more moats anymore. moats are dead. was talking to a friend of mine who's a CEO of a rapidly growing startup (~$1B revenue). we're small investors. He told me that he has only taken one one-week vacation in the last eight years of his startup. I was like, "Hey this is crazy. You're gonna burn out. This is pretty serious." he said, "Auren, I don't know what to do. We don't have no moat." am like, "What are you talking about? The business is going great!" he said, "We have incredible competitors. We sell AI products and so we're selling to the smartest people in the world. If we don't have the best product that week, they won't buy us. If we don't have the best product for two weeks, our customers will churn. We don't have a moat." I started thinking about it: who does have a moat? There are just no moats anymore. Nobody has a moat. Everyone will switch their software providers in a heartbeat for better product or for cheaper product or for faster product. Anyone will switch. We looked at our 200 companies at Flex Capital and how they're buying software and AI services today. Almost all of their vendors are on month-to-month contracts or on usage-based contracts. That means they can switch immediately. The reason they have everyone on month-to-month is that they have no idea if they're going to be using those tools two months from now. They may not even be using those tools two weeks from now. Everything is changing so fast all the time. The only moat you have in software is that you have the best product. There are just no other moats. It used to be back in the day that you have a mediocre product and you'd be using it for years. we just dealt with all these of mediocre software systems, mediocre cloud providers, mediocre data providers, mediocre APIs. we dealt with it because the switching costs are really hard. Nowadays it's really easy to change software. It's really easy to change APIs. it's really easy to change AI infrastructure. It's super easy. You can change it in a heartbeat and every other vendor will help you switch. Of course, your AI tools will help you switch as well. All these things that used to give very high customer lock-in just don't exist anymore and so they're just no more moats. Moats are dead.  you just need to work insane hours all the time because the only thing you have is your product. goodbye moat, goodbye predictable revenues, goodbye 2010s era.