Marc-André, partner since 2017 (Montréal, Québec)
English: The crowd rarely stays invested long enough to build real wealth
This week in charts
Income
KKR and Carlyle Take No Carry on New Private Credit Funds
Two of the world’s biggest private credit firms have launched funds that will take far less profit than is usual for the industry — another sign of how power has started shifting toward investors in this $1.5 trillion market.
KKR & Co. and Carlyle Group Inc. won’t take the portion of profit known as “carry” on returns from two new European direct-lending vehicles, according to people familiar with the matter who weren’t authorized to speak publicly.
Both the funds have so-called “evergreen” structures, the people familiar said, meaning investors can withdraw and put in money at regular intervals, unlike this market’s more typical closed-ended funds. As a fairly novel type of instrument in the industry, evergreen funds sometimes have different profit arrangements than is the norm.
Private credit has been a magnet for firms attracted to its extravagant returns. But now they’re having to work harder to win over limited-partner investors, many of whom have less cash because of the weak economy and are restricted on what they can allocate to direct lenders. LPs can also pick from a ballooning number of private credit funds, or general partners, putting pressure on the latter to offer competitive terms on sharing profit.
KKR and Carlyle’s moves come amid a broader debate within private credit over how carry is calculated. The sharp rise in central bank rates has let fund managers blast through their hurdle return levels, prompting investors to ask whether they’ve earned the windfall. A few funds are pegging the hurdle to the base rate to make profit shares fairer.
U.S. Considers Dropping Sanctions Against Israeli Billionaire in Push for EV Metals
As part of its quest to gain access to minerals critical to the energy transition, the U.S. has recently considered a plan to drop sanctions against an Israeli mining magnate accused of corruption, according to people familiar with the matter.
The plan involves the U.S. lifting sanctions on businessman Dan Gertler, whom it accused nearly six years ago of corruption, to allow him to take part in mining deals with Saudi Arabia, the people said.
Those mines, in turn, would ultimately deliver metals to American companies, the people said. Saudi Arabia, the U.S. and Gertler have held early-stage talks about potential deals that could benefit all three parties, they added.
Under one multibillion-dollar proposal that was being discussed, the Saudis would buy stakes in cobalt and copper mines in the Democratic Republic of Congo that are currently paying royalties to Gertler. The U.S. would get some of the rights to production from those mines.
Because Gertler is sanctioned by the Treasury Department and barred from doing business that has a U.S. nexus, the government is working on ways to remove him, the people said. A deal isn’t guaranteed, and the talks could fall apart, the people cautioned.
Gertler, a longtime diamond merchant who made a fortune in Africa and has for more than a decade been controversial there, has ramped up efforts to get removed from the sanctions list in recent years.
The Treasury Department sanctioned Gertler in 2017, accusing him of amassing his fortune through opaque and corrupt mining and oil deals in Congo through connections with former Congolese President Joseph Kabila. It imposed further sanctions on entities affiliated with him in 2018, accusing Gertler of using his close friendship with Kabila to act as a middleman for mining asset sales in the country.
In a February letter to a U.K.-based nongovernmental organization, Gertler said though he didn’t believe he should have been sanctioned, he had ended his activities in Congo and transferred significant assets. He said he believes his initial investments in the country “built critical infrastructure, created employment, and catalyzed development of the natural resource sector.”
Justyna Gudzowska, senior policy adviser to the Sentry, a watchdog group co-founded by actor George Clooney, said it was surprising that the U.S. would consider allowing Gertler to collect revenue streams stemming from the activities that got him sanctioned in the first place. Gertler “should have to relinquish any interest in those streams before sanctions relief is even contemplated,” she said.
Saudi Arabia is looking both at buying stakes in or the entire copper-cobalt projects, some of the people said, in deals that could be worth around $2 billion. Some of the projects in Congo that the Saudis are looking at include those owned by Swiss mining and trading giant Glencore and Eurasian Resources Group, a Kazakh-backed mining company, the people said. A spokesperson for ERG said it is often approached by various investors but that it doesn’t intend to sell its Congolese assets. A spokesperson for Glencore declined to comment.
Cobalt and copper are key components of the so-called clean economy. Used for electric vehicles and wind farms, copper is in hot demand by governments and companies the world over.
Chinese companies refine three-quarters of the world’s cobalt supply and produce about 70% of the world’s lithium-ion batteries, raising concerns in the West about reliance on Beijing.
Walmart says users of weight loss drugs are buying less food
Walmart's U.S. CEO, John Furner, told Bloomberg News that the company is seeing signs that people taking GLP-1 agonist appetite suppressant medications are buying "less units, slightly less calories."
The retail giant is comparing shoppers who pick up a prescription for those medications at its pharmacies to shoppers who are otherwise similar but aren't filling those scripts at Walmart. Using anonymized data, it's looking for patterns in the spending of those groups, and it says the first group is buying less food.
Doug McMillon, CEO of Walmart, Inc., said in August that the growing popularity of the drugs was helping its sales.
According to Trilliant Health, prescriptions of those medications quadrupled from late 2020 to 2022, with 9 million prescriptions filled in the last three months of last year.
Walmart previously recorded stronger grocery sales when high inflation was driving wealthier shoppers to its stores. In summer 2022, after inflation had topped out at 9.1%, the company said it saw more customers in higher income brackets shunning expensive grocery stores in favor of Walmart's lower prices.
This week’s fun finds
After all, computer-science degrees, and certainly not English, have long been sold to college students as among the safest paths toward 21st-century job security. Coding jobs are plentiful across industries, and the pay is good—even after the tech layoffs of the past year. The average starting salary for someone with a computer-science degree is significantly higher than that of a mid-career English graduate, according to the Federal Reserve; at Google, an entry-level software engineer reportedly makes $184,000, and that doesn’t include the free meals, massages, and other perks. Perhaps nothing has defined higher education over the past two decades more than the rise of computer science and STEM. Since 2016, enrollment in undergraduate computer-science programs has increased nearly 49 percent. Meanwhile, humanities enrollments across the United States have withered at a clip—in some cases, shrinking entire departments to nonexistence.
But that was before the age of generative AI. ChatGPT and other chatbots can do more than compose full essays in an instant; they can also write lines of code in any number of programming languages. You can’t just type make me a video game into ChatGPT and get something that’s playable on the other end, but many programmers have now developed rudimentary smartphone apps coded by AI. In the ultimate irony, software engineers helped create AI, and now they are the American workers who think it will have the biggest impact on their livelihoods, according to a new survey from Pew Research Center. So much for learning to code.
ChatGPT cannot yet write a better essay than a human author can, nor can it code better than a garden-variety developer, but something has changed even in the 10 months since its introduction. Coders are now using AI as a sort of souped-up Clippy to accelerate the more routine parts of their job, such as debugging lines of code. In one study, software developers with access to GitHub’s Copilot chatbot were able to finish a coding task 56 percent faster than those who did it solo. In 10 years, or maybe five, coding bots may be able to do so much more.
People will still get jobs, though they may not be as lucrative, says Matt Welsh, a former Harvard computer-science professor and entrepreneur. He hypothesizes that automation will lower the barrier to entry into the field: More people might get more jobs in software, guiding the machines toward ever-faster production. This development could make highly skilled developers even more essential in the tech ecosystem. But Welsh also says that an expanded talent pool “may change the economics of the situation,” possibly leading to lower pay and diminished job security.
If mid-career developers have to fret about what automation might soon do to their job, students are in the especially tough spot of anticipating the long-term implications before they even start their career. “The question of what it will look like for a student to go through an undergraduate program in computer science, graduate with that degree, and go on into the industry … That is something I do worry about,” Timothy Richards, a computer-science professor at the University of Massachusetts at Amherst, told me. Not only do teachers like Richards have to wrestle with just how worthwhile learning to code is anymore, but even teaching students to code has become a tougher task. ChatGPT and other chatbots can handle some of the basic tasks in any introductory class, such as finding problems with blocks of code. Some students might habitually use ChatGPT to cheat on their assignments, eventually collecting their diploma without having learned how to do the work themselves.
Richards has already started to tweak his approach. He now tells his introductory-programming students to use AI the way a math student would use a calculator, asking that they disclose the exact prompts they fed into the machine, and explain their reasoning. Instead of taking assignments home, Richards’s students now do the bulk of their work in the classroom, under his supervision. “I don’t think we can really teach students in the way that we’ve been teaching them for a long time, at least not in computer science,” he said.
Why Silicon Valley Falls for Frauds
Silicon Valley could be said to be in the business of reality distortion. Fundraising for startups can be as much about narrative as about economic fundamentals. Most venture capital portfolios are filled with companies that will fail because their model is wrong, their product won’t land, their vision of the future won’t pan out. The high dropout rate means that everyone is in search of the one thing that will reach escape velocity. Everyone is looking for an epochal success—a Steve Jobs, a Jeff Bezos. That creates a degree of hunger—even desperation—that can be exploited by someone who arrives with a great story at the right moment.
On top of that, there’s just a huge amount of money—an absurd amount of money—in Silicon Valley, which accumulates around the gravity of perceived success. In 2021, $630 billion was pumped into venture-backed companies. That translated into vast funding rounds for companies that weren’t necessarily frauds but weren’t able to back up their vision with profits. [Professor of American history Margaret] O’Mara points to WeWork, which was nominally valued at $47 billion in January 2019 after outsized investments from VCs, including notorious mega-investor Softbank, before flopping on the public markets. This August, the company admitted it had doubts as to whether it could survive as a business. Hype cycles helped drive the flywheel—for FTX, it was in part riding a wave of FOMO among investors who wanted to get exposure to crypto but would only do so in a way that felt comfortable, through a scale player with pedigree backers. Either consciously or serendipitously, FTX and Bankman-Fried were accumulating that legitimacy.
There is a pattern in major financial deceptions, according to Yaniv Hanoch, professor of decision science at the University of Southampton in the UK, who studies frauds. “What happens is that they manage to get over some sort of threshold. And then they’re able to recruit a few big names.” It seems likely, Hanoch says, that some of the big institutional investors that invested in FTX didn’t necessarily understand the crypto markets but crowded in because they assumed that others had done the due diligence. Among FTX’s investors were Temasek, the investment vehicle of the notoriously conservative Singaporean government, and the Ontario Teachers’ Pension Plan. “You see that pension funds get involved … because they think ‘OK, all this is kosher.’ There’s no reason for them to believe that it’s not kosher.’”