Rest of World’s Growth Is at Trump’s Mercy

Donald Trump will retake office in a global economy substantially transformed from eight years ago—one much more reliant on the U.S.

It means that the president-elect’s plans, including across the board tariffs , could pack an even greater wallop on other countries than the first round of “America First” economic policy. It also gives Trump much more leverage in negotiations over trade policy.

Strong growth since the pandemic has expanded the U.S.’s weight in the global economy. Its share of output among the Group of Seven wealthy nations is higher than at any point since at least the 1980s, International Monetary Fund data shows.

Growth in China, the world’s second-largest economy, has slowed. Germany, the largest European economy, is contracting. Many poorer economies are buckling under the weight of high debt.

U.S. gains in global output partly reflect the strong dollar, which pushes up the value of American output relative to that of foreign economies. But they also result from substantial increases in U.S. productivity compared with the rest of the world.

The changes in the global economy have made America, not China, the premier destination for foreign direct investment, enlarging the exposure that foreign companies have to the U.S. economy and changes in government policy. A booming U.S. stock market has attracted huge flows of investment dollars.

“The fact that much of the rest of the world is now struggling to generate demand on its own provides more reason for countries to try to reach some sort of accommodation with Trump,” said Brad Setser, a senior fellow at the Council on Foreign Relations.

Trump started imposing tariffs in 2018, primarily on China but also on Europe and other allies. Those tariffs fractured global trade, weighing on large exporting economies in Asia and Europe, while not obviously hurting the U.S., which is less reliant on foreign demand than its trading partners. Trump campaigned on a promise to impose at least a 60% tariff on China, and an across the board tariff of 10% to 20% on everywhere else.

America’s superior economic performance has been driven in part by energy independence and massive government spending, said Neil Shearing , chief economist at Capital Economics in London. Since the U.S. now exports more energy than it imports—including millions of barrels of oil each month to China—the nation as a whole benefits when energy prices rise, unlike for net importers such as China and Europe.

The upshot: America’s traditional role as the centre of gravity in the global economy has become even more pronounced in the years after Trump’s first-term tariffs, the pandemic, and Russia’s full-scale invasion of Ukraine.

U.S. influence over Europe’s economy is a case in point. The U.S. has cemented its position as Europe’s largest export market as trans-Atlantic trade surged in recent years and China’s imports from Europe stalled. The U.S. has replaced Russia as Europe’s major source of imported energy. Europe runs big trade surpluses with the U.S. but big trade deficits with China.

The result is access to the U.S. market is far more important for Europe than access to European markets for the U.S. That asymmetry will give Trump leverage in trade negotiations with Europe, according to economists.

Germany exports around 7% of its entire manufacturing value-added to the U.S., but Germany imports only around 0.8% of value-added in U.S. manufacturing, according to a September paper by researchers at Germany’s Ifo Institute for Economic Research.

“German business is vulnerable to Trump,” said Marcel Fratzscher , president of the Berlin-based economic research institute DIW Berlin.

Parts of Asia have benefited from the changes in supply chains sparked by Trump’s initial trade war with China. Many manufacturers, including Chinese ones, moved factories to places such as Vietnam and Cambodia. For the past two quarters, Southeast Asia’s exports to the U.S. have exceeded those to China.

But that now leaves them more exposed to across the board tariffs, a policy that Trump advisers say will be necessary to force manufacturing back to the U.S.

To be sure, Trump’s policies could create countervailing forces. Tariffs would decrease imports and potentially weigh on productivity, but tax cuts would drive up household and business spending, including, inevitably, on imports. Other countries could retaliate by placing tariffs on U.S. goods.

Meanwhile, a tight U.S. labor market has pushed up wages, which is good for those workers. But it could pressure employers to raise prices, in turn making them vulnerable to foreign competition.

Many economists are girding for a different type of trade war from Trump 1.0, when trade fell between the U.S. and China but was diverted elsewhere.

“As long as protectionism refers only to one country, China, the world can live with this,” said Joerg Kraemer , chief economist at Commerzbank. “The thing becomes difficult or dangerous if you implement tariffs on all countries. This would be a new era in global trade.”

There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.

What gives?

U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.

The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.

All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.

But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .

Landing a job is tough for most everyone else.

Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.

Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.

Playing a different game

It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.

Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.

You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.

“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.

He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.

The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.

As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.

A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.

In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .

Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.

He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.

If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”

Overlooked

James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.

He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.

He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.

Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.

“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”

The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.

“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”

He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.

It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.

Rest of World’s Growth Is at Trump’s Mercy

Growth in size of U.S. market gives him extra leverage in trade negotiations with other countries

A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.

Playing a different game

Overlooked