Biography book club
If you plan to be beachside, poolside, inside or on the road this summer, it’s the perfect time to explore the Investment Team’s recommended biography reading list. Whether you’re looking to be inspired, gain insights or simply looking for a great real-life story, you’ll be sure to find it here.
This week in charts
Rising cost of servicing U.S. public debt
Growth vs. value
Large cap vs. small cap
Earnings, valuation and ROE
Domestic sales exposure
Cost of goods sold (% of sales)
Japan – Share buybacks
Japan – ROE and EPS
Payment-in-kind income (% of Cliffwater Direct Lending Index)
High-grade bonds – average coupon
High-grade bonds – coupons paid
Artificial intelligence has created a new digital divide, fracturing the world between nations with the computing power for building cutting-edge A.I. systems and those without. The split is influencing geopolitics and global economics, creating new dependencies and prompting a desperate rush to not be excluded from a technology race that could reorder economies, drive scientific discovery and change the way that people live and work.
The biggest beneficiaries by far are the United States, China and the European Union. Those regions host more than half of the world’s most powerful data centers, which are used for developing the most complex A.I. systems, according to data compiled by Oxford University researchers. Only 32 countries, or about 16 percent of nations, have these large facilities filled with microchips and computers, giving them what is known in industry parlance as “compute power.”
Nations with little or no A.I. compute power are running into limits in scientific work, in the growth of young companies and in talent retention. Some officials have become alarmed by how the need for computing resources has made them beholden to foreign corporations and governments.
A.I. computing power is so precious that the components in data centers, such as microchips, have become a crucial part of foreign and trade policies for China and the United States, which are jockeying for influence in the Persian Gulf, in Southeast Asia and elsewhere. At the same time, some countries are beginning to pour public funds into A.I. infrastructure, aiming for more control over their technological futures.
There has long been a tech gap between rich and developing countries. Over the past decade, cheap smartphones, expanding internet coverage and flourishing app-based businesses led some experts to conclude that the divide was diminishing. Last year, 68 percent of the world’s population used the internet, up from 33 percent in 2012, according to the International Telecommunication Union, a United Nations agency.
But in April, the U.N. warned that the digital gap would widen without action on A.I. Just 100 companies, mostly in the United States and China, were behind 40 percent of global investment in the technology, the U.N. said. The biggest tech companies, it added, were “gaining control over the technology’s future.”
The gap stems partly from a component everyone wants: a microchip known as a graphics processing unit, or GPU. The chips require multibillion-dollar factories to produce. Packed into data centers by the thousands and mostly made by Nvidia, GPUs provide the computing power for creating and delivering cutting-edge A.I. models.
Obtaining these pieces of silicon is difficult. As demand has increased, prices for the chips have soared, and everyone wants to be at the front of the line for orders. Adding to the challenges, these chips then need to be corralled into giant data centers that guzzle up dizzying amounts of power and water.
Many wealthy nations have access to the chips in data centers, but other countries are being left behind, according to interviews with more than two dozen tech executives and experts across 20 countries. Renting computing power from faraway data centers is common but can lead to challenges, including high costs, slower connection speeds, compliance with different laws, and vulnerability to the whims of American and Chinese companies.
The uneven distribution of A.I. computing power has split the world into two camps: nations that rely on China and those that depend on the United States.
The two countries not only control the most data centers but are set to build more than others by far. And they have wielded their tech advantage to exert influence. The Biden and Trump administrations have used trade restrictions to control which countries can buy powerful A.I. chips, allowing the United States to pick winners. China has used state-backed loans to encourage sales of its companies’ networking equipment and data centers.
The effects are evident in Southeast Asia and the Middle East.
Globally, the United States has the lead, with American companies building 63 A.I computing hubs outside the country’s borders, compared with 19 by China, according to the Oxford data. All but three of the data centers operated by Chinese firms outside their home country use chips from Nvidia, despite efforts by China to produce competing chips. Chinese firms were able to buy Nvidia chips before U.S. government restrictions.
Alarmed by the concentration of A.I. power, many countries and regions are trying to close the gap. They are providing access to land and cheaper energy, fast-tracking development permits and using public funds and other resources to acquire chips and construct data centers. The goal is to create “sovereign A.I.” available to local businesses and institutions.
In India, the government is subsidizing compute power and the creation of an A.I. model proficient in the country’s languages. In Africa, governments are discussing collaborating on regional compute hubs. Brazil has pledged $4 billion on A.I. projects.
Even in Europe, there is growing concern that American companies control most of the data centers. In February, the European Union outlined plans to invest 200 billion euros for A.I. projects, including new data centers across the 27-nation bloc.
Still, closing the divide is likely to require help from the United States or China.
This week’s fun find
How Do Muppets Go Outside? Find Out How Kermit and Gang Took to the Real World
Movie enthusiast and YouTuber Alex Boucher is “on a mission to watch every movie.” He dissects some of the film industry’s best-kept secrets and techniques. From practical effects to dog acting to how Spiderman’s web-swinging changed over time, he analyzes how movies are made and creates mini-documentaries about cult classics and box office hits alike. His most recent video traverses the universe of Jim Henson’s The Muppet Movie (1979) and its seven filmic follow-ups, posing the question, “How do Muppets go outside?”
Controlled by humans, the iconic puppets have been voiced by actors like Dave Goelz (Gonzo), Frank Oz (Miss Piggy, Animal, and Fozzie Bear), Richard Hunt (Scooter and Statler), among many others, and of course, Kermit the Frog is guided by Jim Henson himself. Puppet shows are typically performed in a box so that the puppeteers can hide beneath the set, but what happens when they head out into the real world, lower extremities and all?
