AI in Higher Education and the Supply Chain, Trump’s Tariffs Hit Lesotho

24 Oct 2025 · 48 min

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Wall Street Week - Episode Summary

Episode Title: AI in Higher Education and the Supply Chain, Trump’s Tariffs Hit Lesotho Host: David Westin Guest: Michael Crow (President of Arizona State University), Leaders from Waabi, Penske, and Port of Los Angeles Date of Episode: [Insert Date]

Episode Overview This episode explores the transformative impact of Artificial Intelligence (AI) on higher education and supply chain logistics. It also addresses the adverse effects of U.S. tariffs on Lesotho's economy, particularly its textile industry, and discusses the trend of billion-dollar startups staying private for longer.

---

Key Topics Discussed

  1. AI in Higher Education
  2. Michael Crow's Vision for ASU:
  3. Crow discusses a comprehensive transformation at Arizona State University (ASU) aimed at adapting to a rapidly changing educational landscape.
  4. Emphasis on using technology to change culture, design, and intellectual structure in education.
  5. AI is seen as a critical tool to enhance learning outcomes.
  • Impact of AI on Learning:
  • AI accelerates learning and broadens question complexity.
  • Traditional learning assessments (e.g., essays) need to evolve due to AI's capabilities.
  • Crow notes the necessity of raising educational standards to match AI's potential.
  • Challenges of AI:
  • AI cannot teach core values, creativity, or grit.
  • The role of educators is shifting towards fostering critical thinking skills and effective questioning.
  1. AI in the Supply Chain
  2. Optimizing Supply Chains with AI:
  3. Leaders from Waabi and Penske highlight the potential of AI to transform logistics by reducing costs and improving efficiency.
  4. AI can optimize routes, reduce manual tasks, and enable predictive analytics.
  • Port of Los Angeles Innovations:
  • Gene Sirocco discusses the implementation of digital systems to enhance cargo management and predict upcoming needs, improving operational efficiency.
  • Job Impact and Transition:
  • Discussion on the potential job displacement versus job augmentation in logistics.
  • The conversation suggests self-driving technology might gradually replace certain roles but emphasizes the continued need for human oversight.
  1. Impact of U.S. Tariffs on Lesotho
  2. Economic Challenges:
  3. Lesotho's textile industry suffers from new tariffs imposed by the Trump administration, leading to a state of economic disaster.
  4. Prime Minister Sam Atakane discusses the implications of tariffs and the expiration of AGOA (African Growth and Opportunity Act), which previously provided duty-free access to the U.S. market.
  • Future Outlook:
  • Local leaders express concerns about unemployment and the need for negotiation with the U.S. for better trade terms.
  • The economic relationship between Lesotho and the U.S. is portrayed as heavily imbalanced, with significant adverse effects on Lesotho's economy.
  1. Billion-Dollar Startups Staying Private
  2. Trends in Going Public:
  3. Discussion on why many startups are delaying public offerings, with insights from industry experts.
  4. The financial and operational burdens of being a public company versus the ease of remaining private.
  5. The phenomenon of unicorns (privately held startups valued at over $1 billion) proliferating, leading to fewer public investment opportunities.
  • Implications for Investors:
  • Retail investors miss out on potential growth if companies delay IPOs until after significant valuation increases.
  • The episode poses questions about the future of public markets and their importance for a vibrant economy.

---

Key Takeaways

  • AI is reshaping both education and supply chain logistics, offering opportunities for enhanced learning and efficiency but also presenting challenges in job displacement and educational integrity.
  • Tariffs have profoundly affected small economies like Lesotho, highlighting the complexities of international trade policies and their local economic impacts.
  • The trend of startups delaying public offerings raises concerns about available investment opportunities for average investors and the overall health of public markets.

---

Conclusion The episode provides a comprehensive view of how AI is influencing critical sectors in America while also addressing pressing international trade issues faced by smaller nations like Lesotho. It invites listeners to reflect on the implications of these trends for future economic development and investment opportunities.

---

For more insights, listen to the full episode on [Wall Street Week's official page](https://omnystudio.com/listener).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00From the Goldman Sachs trading floor, in 10 minutes or less. Investors and analysts share timely analysis on the week's market activity. The Markets Podcast from Goldman Sachs. Listen now.

0:39Listen to new episodes every Wednesday and follow Trumponomics wherever you listen.

0:47Bloomberg Audio Studios. Podcasts. Radio. News.

1:03This is Wall Street Week. I'm David Weston bringing you stories of capitalism. Unicorns used to be rare, but they're popping up more often and getting bigger by the day. We look into why larger companies are staying private for longer and whether we should be concerned. Plus, we're paying a lot of attention to the tariffs President Trump is imposing on China and Europe and Brazil. But we go to Lesotho to see what the Trump tariffs mean for a country whose exports may seem small by U.S. standards, but are big enough to threaten its local economy. And the pandemic made the world far more aware of vulnerabilities in supply chains.

1:42What is technology doing to overcome the problems we found? But we start with a major public university transforming itself and its students for a very different world. Michael Crow is the longtime president of Arizona State University. He's won just about every award there is for innovation in higher education. and his institution is working to make sure it keeps up with the times. We decided to change everything. Change culture, change design, change intellectual structure, use technology, move in new directions, and then we began measuring learning outcomes. For all the talk about changes in higher ed, including just this week, when the University of Virginia became the first public college to agree to Trump administration oversight, The biggest cause for change, AI, doesn't come up all that often in the political debate.

2:31For nearly a quarter century, Michael Crow has led the university that is by some measures the largest in the United States. Few people have thought as much about American higher education while also having the ability to influence it on such a large scale. But when we first talked with him a little over a year ago, we didn't cover artificial intelligence. A lot has changed since then. AI will leave a lot of white-collar people behind. Another uncomfortable truth linked to AI. AI. AI. AI. AI. It's not a bubble. Obviously the most disruptive technology in the history of mankind. Egalitarian access to knowledge is at the highest level in the history of our species.

3:10What we have is a walking, talking, reference library on any subject, and we never had anything like that in our society before. We wanted to know how artificial intelligence is changing the American college experience. what it means for the teachers and students who have now made it a regular part of their lives. But we also asked Crow about the outcomes for recent graduates and how his school is preparing students for an economy that is moving very fast. What does that do to teaching? I mean, back in the olden days, we wrote essays. We wrote blue books back when I was there. How do you do things like essays and evaluations?

3:46Well, I think what has to happen, and we've experienced this at ASU with our 6 ,000 factor members, several thousand of which are already AI trained, is you have to up the game. Perhaps we were learning too slowly, too incrementally, too much in a regimented or industrial way. With the AI tools that are available now, you can up the game, enhance the question complexity, enhance the answer complexity, expect more of the students. We had somebody give their test out of the business school to an AI system to get everything right instantly. Well, then the test is too easy. The test is too simple.

4:15So you need, it's basically a way in our view to accelerate learning, to broaden learning and to speed learning. So you have to look at it as a new way to basically make the game more intensive. The model's always changing. So Plato, you know, was against the written word. He thought everything should be thought through verbally and communicated verbally. There were unbelievable forces against the development of the printed book. And so the Internet and its development, the web and its development all had people that were against it. And so AI changes the model in the sense that it speeds it up and intensifies it.

4:45It personalized the learner's experience, but it doesn't teach those core things. There's no values being taught. There's no values being experienced. There's no lived experiences being built. So what we really have here now is we just have this massive hyperspeed calculator capable of going to all of the digitized information, you asking a question about that information, and getting the most probable answer. It's all about the questions that you're asking. It's not about the answers. It's about the questions, and that's what people need to really figure out. Does it change the notion of cheating?

5:15I'll bet humans have cheated for quite a while. It does change the nature of what is your work now if you're answering a complex question and you're using a reference library and an AI system to answer that question that seems Legitimate if you're if you're using it to produce your analytical response that's supposed to be Demonstrative of your ability well, then you're cheating now you have to then build a system which recognizes the ability to gain access to these tools Now sometimes it's just gonna be you in there by yourself taking the test because they've got to know that you know how to ask the question You know how to derive the answer that your brain works in a certain way.

5:50Beyond that, the AI systems are going to enhance learning in every possible way. And the idea of cheating will change. At this point, are there some things that you can learn that AI cannot teach you? Absolutely. I mean, you know, an AI system can't teach you to be innovative. It can't teach you to be creative. It cannot teach you grit. It cannot teach you the discovery process. It cannot teach you. I mean, it's a machine. It's an advanced hyperspeed calculator. It can do things that you can't do. It can think around corners that you can't see. But of course, so can a dog. And so it's a powerful analytical tool to enhance our mental capabilities, not to replace them.

6:33In order to ensure that AI is a springboard rather than a crutch, Crow says students and teachers will have to raise the bar. and one place he's already seen signs of AI's ability to supercharge progress is in the school's research programs. It's almost unbelievable. We have probably 50 research groups that are using advanced AI to solve unsolvable problems, to figure out how to process materials or manage the Mississippi River in a different way in terms of the flow of the water and the flow of the dirt and other things that go down the river. We've got people doing advanced chemistry now. We're using AI systems to think beyond the way that we normally think, to create more revolutionary opportunity.

7:13There was a study recently done by some of our faculty at the speed with which you could complete the work equivalent to a dissertation in genetics, 14 days. What that means then is that the PhD that normally takes four or five years to set up the experiments, do the experiments, do the work, be evaluated, maybe the PhD student of the future will do the equivalent of 20 PhDs. That will speed up the cures for cancer. That will speed up the analytical tools that will help restore sight in human beings. That will speed up the techniques that use electromagnetic current to affect people with Alzheimer's disease and other neurodegenerative diseases, all of which are computationally limited.

7:49Certainly the world has changed enormously since I came out of college a long time ago now. But my sense is the rate of change has really increased, maybe even geometrically, how fast it's changing. How do you prepare graduates today for a world 20, 30, 40 years down the road that I can't even imagine? So there's no way to prepare someone for something you don't know what it will be, except one thing. What we call, we're attempting to take all the people that are coming to our university, 120 ,000 degree-seeking students, 700 ,000 other learners who are just taking courses with us digitally and otherwise.

8:23Can we help create you to be a master learner? Can we help you to be a person capable of learning anything, adjusting to anything, adapting to anything? It's really that, because we don't know what all of the adaptations that will be required are. We do know that you should be grounded in, you know, American history and economics and the role of democracy and certain subjects in math and science and so forth and so on. And then after that, we find a learning path for you to take where you learn to learn. We don't care what your major is. I met a kid the other day who was majoring in opera and physics.

8:54Great. Fine. Fantastic. That's how that kid learns. And so that's what we're after. How do you create universal learners capable of learning anything? That's the pathway. way. We hear at 40 ,000 feet about a shifting employment situation for recent college graduates because of AI. Are you seeing any of that in the real world? We're not seeing that in our graduates. Now, the problem with people talking about all college graduates, there's more than 20 million people in college. A couple million go to what you think of as sleepaway colleges. They go to places where you're living on campus. The other 18 million go to college in some other way, community college, online, some kind of other course, and so forth.

9:32So we're not seeing any change. You know, we're seeing the same level of anxiety. We're seeing the same level of the process where, you know, more than 95 % of our students that graduate as undergraduates are employed or in graduate school within the first year, almost all within the second year. So we're still, you know, seeing good ROIs. But what we are seeing is students, you know, who are quite savvy, adjusting their trends. So we're seeing a slightly downward trend in computer science and a slightly upward trend in double majoring and triple majoring. More people moving into analytics and supply chain and all kinds of other things.

10:09And so the market for learning is also adjusting. We measure our success based on who we include. Crow hopes the size and scope of ASU will help with that adjustment, allowing students to react quickly and build new skills for the changing world. And in a school made famous for opening its doors rather than being exclusive, he thinks the most important skills of all can come from unlikely places. We've even got ways now that we're using advanced AI enhanced robots to help people that aren't qualified to get into a particular college to do what they want to do to get them qualified. Guess what?

10:49when we get them qualified, they have more grit and determination than anyone else who sort of walked into it from high school, and they outperform everyone. There's a theme going on right now that every college has been overrated, oversold. What do you say to parents? What we have is a way for your child, your student, to learn on the path that's going to enhance their ability to be most adaptive throughout their life. So don't worry about their major. So we get these parents that say, well, my kid needs to major in accounting so they can get a job, or they need to major in anything other than political science or history or English where they'll never get a job.

11:21That's actually not true. Some of the hottest things that we have that we're producing right now are English majors that can code. And so they have a broader perspective and they can code. And so we provide free coding classes to everyone in the institution. We provide other ways in which you can double major, triple major, take other kinds of things. And so what we say to parents is let's find the way where your kid is going to smile while learning, while preparing themselves to be a master learner, and you'll have to worry about them less. If they take a fixed thing in a fixed way, in a fixed pathway, they could find themselves in an alley and no way out.

11:56We're trying to make sure that that doesn't happen. Coming up, transforming the U.S. economy by taking the bugs in supply chains and turning them into features. That's next on Wall Street Week.

12:14Goldman Sachs 2026 outlooks from global growth and regional perspectives to deep dives into asset classes and portfolio allocation. Goldman Sachs research examines the trends shaping the global economy for insights to help you stay a step ahead. Listen to exchanges outlook 2026 from Goldman Sachs.

12:41Hello, I'm Stephen Carroll. I'm in Brussels, where many of Europe's biggest decisions get made. And I'm Caroline Hepker in London. We're the hosts of the Bloomberg Daybreak Europe podcast. We're up early every weekday, keeping an eye on what's happening across Europe and around the world. We do it early so the news is fresh, not recycled, and so you know what actually matters as the day gets going. From Brussels, I'm following the politics, policy and the people shaping the European Union right now. And from London, I'm looking at what all that means for markets, money and the wider economy. We've got reporters across Europe and around the globe feeding in as stories break.

13:19So whether it's geopolitics, energy, tech or markets, you're hearing it while it happens. It's smart, calm and to the point. And it fits into your morning. You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris. On Apple, Spotify, YouTube or wherever you get your podcasts.

13:45This is a story about featuring the things we thought we needed to fix. The pandemic focused all of us on the need to fix our supply chains. But what if we could use technology not just to fix our supply chains, but to rethink them altogether? Could we use them to transform our markets, our workforce and our economy itself? Stopping the spread of the deadly coronavirus has meant stopping the spread of more than just germs. Good spots and people have been halted in place. I think the pandemic sort of brought logistics to the limelight from this like tucked in the corner industry to really, really be in the forefront of all of us, of consumers and society.

14:27And when supply chains stop, economy stop. Going back to the COVID days in 2020, we started buying online like we had never seen before. And so what happened then with all of that cargo rushing in, it was like taking 10 lanes of LA freeway traffic and squeezing them into five. But what if we could use technology not just to fix supply chains, but to rethink them altogether? Could we use them to transform our markets, our workforce, and our economy itself? Logistics is the largest cost for the manufacturing and retail economy. And if you drive that cost, down like anything else we have seen in the history of economy, you unleash the next epoch of economical activity.

15:16Lior Rahn recently became COO of autonomous trucking company Wabi after co-founding Uber Freight back in 2017. Their cost of goods moved is sometimes 30-40 % of their cost of operation. It's a prohibitor for them to scale and to be bigger. If you take that costs down, you essentially democratize access to logistics. You encourage more economical activity. If you reduce the friction, in the end of the way, it's friction in the system. If you reduce the friction in the system on manufacturing, on distribution, on moving those goods around, you just unlock a bunch of new economical opportunity. You unlock manufacturing strength.

16:00You unlock new predictability back to COVID. You unlock resiliency. And that set the stage for a rapid economical activity. The stakes are enormous, but how to get from here to there? Ron says the answer lies, in part, in that artificial intelligence everyone's talking about. I think AI allows you, the way I think about it, really like three levels of optimization and supporting function. One is logistics is a highly fragmented, highly manual ecosystem. You have hundreds of thousands of operators acting as glue, overcoming all those information challenges, doing a lot of repeated manual tasks, which is really sort of like taxing the system from a cost perspective and from an efficiency perspective and more importantly, just from a time perspective.

16:59The second level is optimization. Can we now actually start looking at the supply chain holistically and start driving smarter decisions? Can we optimize those empty miles? Why does it need to be 40 % empty miles if we know everything and we could connect everything together and we can actually start smartly designing the network so you can actually minimize those empty miles? And the last level is using AI to truly drive better decision making. Let's have a chat GPT for my supply chain. And the most important one is unleashing AI to the physical world. With physical AI and self-driving, which I think is really sort of the deepest disruption and the most profound change that we'll see with AI in supply chain in the next decade.

17:51Part of what Ron envisions for the future is happening right now in the Port of Los Angeles. There's so much here, and I think we're just scratching the surface. Gene Sirocco is the executive director of the Port of Los Angeles, the busiest container port in the United States. One of the areas that we stepped into right away was digitalization of all the port's information. How many ships are coming in, containers, what trucks and trains need to be planned? How do we get our great skilled labor at the right place anticipating the cargo that was coming in? So we worked with the Wabtec company to develop the first information sharing system for a port here in the United States.

18:32We call it the Port Optimizer. We can now see cargo 40 days before the ship arrives into Los Angeles, giving us ample time to plan all those things, the skilled labor, the land, the machinery, and just that intuitiveness about how we're going to handle things if something doesn't go to schedule. And normally that's the case. There's always an adjustment that has to be made in the supply chain. So now we can see things every morning, a dashboard of information about the velocity, the vital statistics of the port. And I could tell you after about 90 seconds of a review how we're doing and what we need to do next.

19:10That digitalization started to introduce prescriptive and predictive analytics. Then we start to get into really, really interesting engineering work. We're going to have a project here on the Vincent Thomas Bridge to resurface it. So we're using geospatial mapping and great companies like Esri and the Jet Propulsion Lab to help us now simulate traffic patterns ahead of time and in real time, allow drivers to move around with much more knowledge than they had before. It's going to help this trucking community out in a tremendous way. What Soroka is pursuing within the Port of Los Angeles, Roger Penske is doing on roads coast to coast and even around the world.

19:53We do 500 ,000 vehicles. We're in four continents and nine countries, and we have our truck leasing, rental, and logistics, and we have 44 ,000 people. So it's a real enterprise. From artificial intelligence, what we're using in the truck leasing business, We're taking, downloading 200 ,000 vehicles a night with operating data. When I look at the amount that we capture on an annual basis, it's a billion units of data. We run 5 million, 600 million miles with our trucks. And when you take that, we need somewhere to aggregate it. So we're starting to use what we call Catalyst AI. It's an AI product where we look at the data, we diagnose the data, we go to our customers, and we use this as a connection.

20:39The Penske company's use of AI is not limited to monitoring its massive fleet. It also uses it in the maintenance required to keep that fleet on the road. We then become to build a process where we have predictive maintenance. So AI is telling us this truck should come into our shop. You might have the same truck but a different duty cycle. So when that truck comes in our shop, what happens is the mechanic goes to the computer, He scans the barcode or the VIN number on the truck. He puts on a headset with a mic and what we call guided repair. And that guided repair takes him through the whole maintenance process on the trucks.

21:20And then that data, because it's live, goes into our SOS center, which is our call center for breakdown. This whole avenue, downloading the data, taking it, making it real. Then we take it, and for the customer, we'll go back to you as a fleet, and we'll take and give you your data live and how we compare location to location you have. We can look at that and then determine what are the things that we have to do to take action. We have 15 ,000 customers, and many of them don't have the opportunity to have this kind of data. So it's sticky, it's important, and it's taking all the technology that we can get.

21:59Whenever we begin to talk about automation and AI, people raise questions about jobs. What's the effect on jobs? Are you going to eliminate a lot of jobs in supply chains? It's a hard job. And many folks, many young folks do not want to take on this job. Being 300 days on the road, not being able to raise a family, not being able to have predictable access to sleep and food. I think for the foreseeable future, as you start rolling self-driving gradually, you augment those jobs. You fulfill the empty spots in the demand for those jobs. You don't replace those jobs. There's going to be plenty of time for the existing population to retire over the next few decades.

22:45As the truck replacement cycle, again, it's like four million trucks in the United States. It's going to take a while until self-driving will actually sort of make an economical dent to the driving population. So I see that as a gradual job transition on self-driving. I think if you look at knowledge workers, I think we'll see a faster transition because the digital AI is even more prevalent and will scale potentially even faster. I think there it's about an opportunity to up-level. So at Uber Freight, we've automated a bunch of those manual repetitive tasks, but then those folks have been up-leveled, and they're now more sort of orchestrators of an orchestra.

23:27They are the brain behind actually orchestrating all those agents, because those AI agents can now do this job and that job and that job, and I'm sort of more the integrator. There is no replacement for the human connectivity, so I can spend my time focusing on customer needs. I think in the idea that people think that jobs will disappear, that it'll be just talking to AI, I think it's overhyped. Chris Kaplis is the executive director of MIT's Center for Logistics and Transportation. I think there's a lot of overhype in that it can truly take over a human's full job, when in fact jobs are tasks and it'll take over some tasks.

24:06And so then there are certain tasks that each one of us in our jobs do that cannot be done by AI to include the person filming us right now. It's more the mundane things that, you know, get automated and then the things that can help enhance what a human does. I think there's a continuum on how you automate things. We've been automating stuff forever, right? But there's a line of, this is mundane and over here I still need a human. That line keeps moving as AI gets smarter. I don't think it'll go all the way. Artificial intelligence may well transform our supply chains, But to get there, it's not enough to have AI alone.

Read the full transcript

24:43It has to be linked to autonomy. What is AI without autonomous vehicles? What are autonomous vehicles without AI? I fundamentally see the next decade really about building the autonomous infrastructure of an industry. And I view self-driving as the most profound help in driving efficiency and safety into supply chain. The whole digital infrastructure in the end of the day can drive 10, 15 % optimization of the network. When you start actually moving assets in a self-driving way, when you can move an asset from six hours a day of being utilized with a human driver to 20 hours, 24 hours, When you can drive safety into our roads with thousands of unnecessary deaths and half a million related incidents in the U.S.

25:33every year on trucks, you can make a profound change and a profound help to the industry. This is the time. I think it's a confluence of many things really coming together to make the next year, not even five years, the next year transformative from self-revenue in the industry. Like, this is game time. This is real now. It's happening.

26:00Up next, Lesotho may not come to everyone's mind as a textile exporter. But it was on President Trump's list of tariff recipients for not playing fair. We go to the country in Southern Africa to see what a small kingdom can do to stand up to the world's largest economy.

26:39Bloomberg Surveillance also brings you the analysis behind the headlines. We do that through conversations with the smartest names in economics, finance, investment, and international relations. We do all this live each and every weekday that bring you the best analysis in our daily podcast. Search for Bloomberg Surveillance on Apple, Spotify, YouTube, or anywhere else you listen. On the East Coast, listen at lunch. And on the West Coast, listen as soon as you wake up. That's the Bloomberg Surveillance Podcast with Tom Keene, Paul Sweeney, and me, Alexis Christophorus. Subscribe today wherever you get your podcasts.

27:15Bloomberg Surveillance, essential listening each and every business day.

27:28This is a story of David and Goliath. President Trump's biggest tariff moves have been against countries of similar stature to the United States, places like China and Europe. But he's also hit some of the smallest economies in the world. Our colleague David Gura has the story of Lesotho, a country out of sight for some, but one that's been hit particularly hard. The African nation of Lesotho, which nobody has ever heard of.

28:00The sun is rising over the Tetsani district of Maseru, the capital of Lesotho. The smoke rising from the textile factories signals the workday has begun, but only for the lucky few. Cutting fabric, sewing seams, making clothes for the Western world. Many of these workers make as little as$1 ,800 a year. Outside the factory, a crowd is building of locals hoping to find work. Any kind of job in the factory, they will have the ticket. President Trump should show mercy to Lesotho because the demand for jobs is high in the country. It's been like this since June, when Lesotho's largest industry began to feel the effects of President Trump's tariffs.

28:45First, 50 percent among the highest rates in the world at the time. It came as a shock to us. Luckily, later on it was revised to 15%. Sam Atakane is the prime minister of Lesotho. He declared a two-year state of disaster for his country's economy after the tariffs were put in place. We're still in negotiations with the U.S. government on a federal reduction maybe to 10 % or to zero, where we were before. We would appreciate the reduction as well as the renewal of AGOA, because AGOA has just come to an end now. The African Growth and Opportunity Act. AGOA, the African Growth and Opportunity Act, signed in 2000, gave some nations in Africa duty-free access to the U.S.

29:36market. That deal expired last month. And while the Trump administration has said it would support a one-year extension, that hasn't happened. The prime minister says Agoa's expiration and the higher tariffs have had a crushing effect on Lesotho. Well, we are hoping for the best. Negotiations are still ongoing, but we are hoping for the best of the best. Dubbed the denim capital of the world, there are two industries that drive Lesotho's economy, a landlocked country of just over 2 million people surrounded by South Africa. Those industries are diamonds and textiles. 2022, and that's led to layoffs in Lesotho's mines.

30:18Now, it's textiles that have been hit hard. As recently as January, Lesotho's central bank expected the sector to grow in 2025. But by June, it had downgraded its forecast by more than 10 percentage points, saying textile and clothing manufacturing would, quote, shrink significantly due to the negative impact of newly imposed tariffs. AFRA Expo Textiles is feeling that pressure. Taboho Kabeli is the company's founder. But at the end of the day, one must specialize on something. It was a big shock. If you know what happened with COVID, it was something similar to that. Because it meant shutting down.

30:58And when you shut, you mean 30, 40 ,000 jobs.

31:05The U.S. imported more than$235 million worth of goods from Lesotho last year, about 11 % of Lesotho's total GDP. That represents just a tiny fraction of America's. 47 % of Lesotho's exports are clothing that will end up being sold by retailers such as Walmart and Levi's. Some of President Trump's branded golf shirts are made in Lesotho. But the trade relationship has been unbalanced. Last year, Lesotho imported less than$3 million in goods from the U.S. And although Trump might have been unfamiliar with the country a few months ago, that imbalance was enough to make Lesotho a target for tariffs.

31:45Such horrendous imbalances have devastated our industrial base and put our national security at risk. They've ripped us off left and right. But now it's our turn to do the ripping. Cabelli didn't imagine the American president was talking about him. His factory is one of only a few that's locally owned in Masero. The biggest punch was on the foreign direct investors, who are the biggest. And where are they ahead of us? They are not in Lesotho. It's just there are workers here who are producing employment for our people. and therefore our people are out of work and now we suffer, you see. But if we could have taken it up to our hands, then we'd be now knowledgeable of how do we talk to other markets easily.

32:42But we never take that opportunity. The government failed to produce their own. The unemployment rate in Lesotho in 2024 was 30%. That's the most recent official data collected before the tariff-induced layoffs began. Tsipang Makakole is the General Secretary of the Economic Freedom Trade Union.

33:23So if the factories are not engaging a lot of workers, then it means we have a big problem as a country. What, if anything, is the government doing to improve the economy here? Not doing anything. We don't see anything yet. But the government, says Lesotho, is not competing on a level playing field. The introduction of the terrorists have put us in the disadvantaged positions. because now the tariffs are not equal. In many countries, you'll find that they've got lower tariffs. Others have got higher tariffs. So the ones that have got the lower tariff have got advantages over the ones that have got higher tariffs because the business can be able to move from other countries to other countries because of that.

34:20Kenya's tariff rate, for example, is lower than Lesotho's, at just 10%, which makes it more attractive to foreign investors looking for a manufacturing hub. Given that, what can a country like Lesotho do? Trudy Micaiah is a Johannesburg-based consultant who works on trade and geopolitics at the Boston Consulting Group. It is devastating in the short term, and to pivot is not always easy. So the idea that, you know, workers can be retrained, do new things is difficult. So to that extent, you know, the preferences and the access to the market, just the pure access to the market is important. I think where a different argument can be made is that if you look globally at the level of U.S.

35:07trade, we still see from WTO figures that 80 % of trade is still happening outside of the U.S. contribution, still happening on kind of regular trade rules on most favored nation principles. So there is a sense that there is a world out there that continues, but it would be folly to underestimate the second order and the third order effects that come from this. because once we're seeing all of these production shutdowns, we see investments being pulled out. So I think it becomes very difficult for a small landlocked economy with significant development challenges to find other ways to grow itself out of this situation.

35:54And I think that's why trade policy like Agora and also just general market access has been an important part of the economic growth story of the past 30 years. And now countries no longer have that option. I mean, even if you look at Asia, for instance, and you look at the development story in Asia, a lot of it was driven by trade and the ability to not only sell product, but trade also brings expertise. You know, having to meet those standards, having to be export ready does something to the productivity of an economy that needs to develop, that now is, you know, the rug is being pulled up from under their feet.

36:35Makaya says that while the trade story has devastated Lesotho's economy, the ramifications of President Trump's trade policy go beyond exports and imports. These are small economies, yet to think about the gains that they've been able to make in terms of taking people out of poverty, it rewires the global economy in a different way. It resets their relationships. It also has meant value chains that support American industry. So in many instances, you'd have investors that come from the United States, not always. You would have capabilities that are delivered by American institutions. So to the extent that you create a market, creating a market also means that the people that you want to sell things to should also be able to sell things to you and develop their purchasing power.

37:31So to the extent that you open up your markets, you're developing that purchasing power in other parts of the world. It also means strengthening relations between countries. We do see generally that there's greater trade within the South, and that is going to happen. But it doesn't mean that therefore the West should step back, because by losing economic relationships, it also weakens the geopolitical ties that have been so important for global stability. So even from that perspective, if you want to look at it from a security lens, there are benefits to ensuring that countries are able to attain some level of economic self-sufficiency and are not beholden to other influences which might also take them in ways that are hostile to interests.

38:23in countries like America. Since taking office, President Trump has rewired the global economy. For now, countries like Lesotho appear to be losing out. But Taboho Kabeli says it's also given his country an opportunity. I asked him what he'd say to Trump, the American president who claimed he'd never heard of Lesotho, if the two ever met. I would say thank you, President Trump. Thank you. For making Lesotho known. for a president of a powerful country like US to mention Lesotho in his Congress. You know, it's a powerful marketing tool. Because nobody knows where Lesotho is. And everybody else now started traveling to Lesotho.

39:09Thank you, President Trump. And also, the world will now tend to ask, what is Lesotho good in? It's good in producing high-quality governments to the U.S. market. That is why I said, thank you, President Trump. If it was possible for me, I would shake your hand and say, thank you for making us wake up. Because that was a wake-up call. In the biblical story, David beat Goliath. But Taboho Kabeli says it's not about winning and losing, but about finding common ground. President Trump is a businessman. And my prime minister is a businessman. What they have to do is just to talk business. President Trump, I've got this and that and that.

39:54I can supply you good, high quality goods. What do you want from me? Let's change the way we were doing things. Because the giant has dictated that.

40:06Coming up, why some of our biggest and most innovative companies won't let us own a piece of them, and whether we should be concerned.

40:22This is Scarlett Fu. And I'm Paul Sweeney, inviting you to join us for the Bloomberg Intelligence Podcast. Every day, we harness the power of Bloomberg Intelligence to bring you deep dives into the companies that are moving markets from publicly traded companies like Apple to those that are privately owned but known by everyone on earth, like OpenAI. Now, I helped to build Bloomberg Intelligence to what it is today, Scarlett. And now, our analysts are the best in the world, covering more than 2 ,000 global companies. That is your legacy, Paul. And we speak to those in-house experts every day. They are Bloomberg's go-to authorities on sectors, companies, and legal processes.

40:55And we do it all live each weekday, then bring you the best conversations in our daily podcast. So be sure to search for Bloomberg Intelligence on YouTube, Apple, Spotify, or anywhere else you listen. Listen in the afternoons on your way home from work to catch up on the market news you missed during the business day. That is the Bloomberg Intelligence Podcast. I'm Scarlett Fu. And I'm Paul Sweeney. Subscribe today, wherever you get your podcasts.

41:22This is a story about privacy, specifically the privacy of keeping a company's ownership and operations out of the public domain. It seems like every day we hear about another so-called unicorn, a private company valued at over a billion dollars. It's not just the number, it's the size and how long they've maintained their privacy. I'm in a rush to go public. The public is, I guess, a way to potentially make more money, but at the expense of a lot of public company overhead and inevitably a whole bunch of lawsuits, which are very annoying. There seems to be broad agreement that more early stage companies are in no great hurry to go public.

42:08It used to take seven years and now it takes 11. So that's a big change. And that doesn't count, obviously, the companies that failed and didn't get to go public. There's no doubt that many companies now are staying private more than 10 years even, which used to be the typical maximum time they would stay private. This reluctance to rush into the public markets has meant we've seen an explosion in the number of so-called unicorns, private companies reaching valuations of$1 billion or more. According to PitchBook, we've gone from virtually no unicorns in 2010 to over 1 ,400 today, worth over$5 trillion combined.

42:48The reasons are straightforward. First of all, being a public company can be expensive and just a pain in the neck. I have several friends who are CEOs of public companies. The worst part of their life is the week before earnings day or the week after earnings day. You know, it's incredibly painful, expensive to have a public company. Jonathan Foster is president and CEO of Angelus Wealth Management, advising high net worth individuals on their investments. There's not a public company alive that doesn't pay at least$5 million and up for being public, and that would be for micro cap. So you imagine what the large companies are paying and the scrutiny that you have from the public market.

43:34It's not just the cost and hassle that can discourage growth companies from going public. Gordon Phillips is a professor at Dartmouth's Tuck School of Business who has studied the reasons behind the decision to stay private. When you go public, you release a lot of information. So there's sometimes proprietary information that you don't want to convey. Does that drive the impetus to stay private longer, in part because you can't necessarily patent the relationship between what you know and what the capital provides? Right. I think it does. I think then you're waiting, you're waiting, David, to go public until you've established a brand name that's well-recognized.

44:10You can think of Uber and Lyft. They wanted to wait to go public until there was enough consumers signed up. And then there's perhaps the biggest reason that large, successful tech companies stay private for longer, simply because they can. One of the reasons is because of the availability of private capital and the venture capital money and growth equity money that's available. So there's tons of money, so you can get a lot of money from private capital. You don't need to go to the public market as quickly. But not all private companies are created equal. And most of them are certainly not unicorns.

44:43They're not your typical private company. I think when most people, and regulators and others historically, have thought of private companies, they've historically thought of a family company or a small business or something along those lines. The companies that you're talking about are nothing like that. Those are real companies that are operating on a global scale. Sarah Cohan Williamson is the CEO of FCLT Global and author of the new book, The CEO's Guide to the Investment Galaxy. What's interesting about private markets is that the ultimate owner sets the price. So if you think about in private markets, who actually, if a company goes private, for example, whoever pays for that sort of sets the price and then that's what the price is.

45:26In public markets, the marginal trader sets the price. So the price changes every day, every minute, perhaps. And so I think that one of the really important differences is how good are the valuations on different sides. And so you mentioned some of the companies that are valued very highly, and those may be very accurate valuations. But a lot of times, the difference is between a mark and an actual trade. Being a public company has its share of costs and disadvantages. But staying private has its own drawbacks. Professor Phillips has compared some similarly situated companies that have gone public with those that have not.

46:03In a research paper, we looked at companies which went public, and then we looked at companies which pulled their IPO. They filed to go public, and then they decided, hey, the price isn't good enough. I'm going to walk back. So we look at those who filed. They both had the incidents. And we filed those that went. They still got substantial benefits. The benefits are the liquidity we talked about, but really the second benefit also is acquisition currency. When you're public, you can actually buy other companies with stock, and you don't need necessarily cash to make that purchase or debt. One example is Apple has done lots of acquisitions, including Beats by Dr.

46:40Dre. They bought that back a while back, and they paid$2 billion, but it was, again, they had enough cash and shares that they could easily make that purchase, even though it was$2 billion. Having publicly traded stock also allows management to give incentives to employees through stock options and similar compensation arrangements. A lot of times is the employees want to be able to sell. Now there are some private internal markets that are developed to allow employees to cash out before they go public. However those markets are not as liquid, maybe the prices aren't as good. There are also some benefits in going public that can't be measured.

47:17There is credibility to being a public company whether that is to suppliers or other business partners or employees or others. And then I think it really opens up all of these opportunities, like issuing more stock to purchase companies. It just opens up a whole new world. So there are very good reasons for companies to go public, and that's why many do still. But what does it all mean for the rest of us, for those of us not lucky enough to get in on the ground floor? First of all, it means that there are just fewer public companies for us to invest in. 25 years ago, there were north of 7 ,000 public companies, maybe 8 ,000 public companies.

47:58Now there are only 4 ,000 public companies. So there's been a real shrinkage of opportunities to invest in equities in public markets. And then there's the prospect that by the time those big growth companies go public, they've already realized their explosive growth. When Apple went public, it only had like one round of venture capital. People went and bought Apple stock. You got to participate in all the upside as the stock was rising in the public markets. If you're going public and it's already worth$100 billion at the time of the IPO or$20 billion, whatever the number is, still a big number already, then you've already baked in a lot of the gains.

48:35And so the gains don't get distributed as much broadly to the population. Retail investors are not getting that period of heady growth at the beginning. Now we're seeing, you know, OpenAI staying private and they're going to be pretty big. And then, you know, other companies like SpaceX, you know, again, staying private. You can't yet participate until they go public as a retail investor. The pendulum has definitely swung toward companies maintaining their privacy for longer or even indefinitely. But as so often happens in the markets, what looks like a long-term trend may turn out to be more of a cycle.

49:10in no small part because coming into the sunlight over time has given investors some pretty favorable returns. I asked chat to you, PT, a great question a few weeks ago. What is the relative return between putting a million dollars into residential real estate on an unleveraged basis in zip code 90049? So that's, you know, in Los Angeles, which is where I happen to have a home, and that's been one of the great residential markets in America. said doing that versus$1 million in the stock market from 1960 to today. And it took it like a minute to figure it out. And it said, if you put$1 million in the residential real estate unlevered in that zip code in 1960, it's worth$7.7 million today.

49:53And in the S &P 500 with dividends reinvested, it's worth$1.1 billion. The public markets are great over a long-term basis. So I think people should not feel they're being left out. The biggest consideration of all might be the value of public companies to the depth of the capital markets. Well, if you look at economic history, you will see that the most vibrant economies over time have had a vibrant public market. So I think there is public value in vibrant public markets. And of course, that's where we come back to this level playing field argument, which is it used to be 10 or 20 years ago that a regular retail individual, just a regular citizen, would be very unlikely to have much exposure to the private markets.

50:39But today, because there's such a large portion of pension plans, defined benefit plans in particular, and other investment vehicles, individuals do have a lot of exposure to private markets if they are a participant in a pension plan. With all the pluses and minuses of going public or staying private, in the end, it comes down to more than just capital structure and protecting your trade secrets and incentive compensation. So I think as a business leader, the question is really what kind of company do you want to be as much as what kind of capital do you want to get? The best company leaders think about their investor strategy just like they think about a customer strategy.

51:23So if you ask a CEO what their customer strategy is, you can almost always get a very clear answer about what kind of customer they're targeting, in what location, why. If you ask a lot of leaders what is their investor strategy, you don't get nearly as clear an answer. And it's really important to have that kind of clarity because those investors will end up dictating or at least nudging the company in certain directions, whether it be shorter to term or longer term. So have an investor strategy that's just as robust as a customer strategy. That does it for us here at Wall Street Week. I'm David Weston.

52:03See you next week for more stories of capitalism.

52:19This is Special Agent Regal, Special Agent Bradley Hall. The time is approximately 11.15 a.m. I'm about to start a consensual telephone call with Dr. Daiwa Zhang.

52:37China's Ministry of State Security is one of the most mysterious and powerful spy agencies in the world. But in 2017, the FBI got inside.

53:00I've never seen that much evidence in my entire career, and I don't think we'll ever see that much evidence again. I now have several terabytes of an MSS officer, no doubt, no question, of his life. And that's a unicorn. This is a story of the inner workings of the MSS and how one man's ambition and mistakes opened its vault of secrets. Listen to The Sixth Bureau from Bloomberg Podcasts starting on February 13th on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.

From the publisher

This week, Arizona State University President Michael Crow explains how AI is reshaping the way students learn, teachers teach and universities prepare for the future. Leaders at Waabi, Penske, and the Port of Los Angeles explain how artificial intelligence could make supply chains faster, smarter, and more resilient. Plus, US tariffs and the end of AGOA have hit Lesotho’s textile industry hard. How can one of Africa’s smallest economies respond?. Later, why are billion-dollar startups waiting so long to go public?

See omnystudio.com/listener for privacy information.

More from Wall Street Week

All 71 episodes
AI in Higher Education and the Supply Chain, Trump’s Tariffs Hit LesothoWall Street Week · 48 min
Listen in VO