U.S. investors’ enthusiasm over Japanese stocks at this time last year turned out to be misplaced, but the market is again on the list of potential ways to diversify. Corporate shake-ups, hints of inflation after years of declining prices, and a trade battle could work in its favor.
Japanese stocks started 2024 off strong, but an unexpected interest-rate increase in August by the Bank of Japan triggered a sharp decline that the market has spent the rest of the year clawing back. Weakness in the yen has cut into returns in dollar terms. The iShares MSCI Japan ETF , which isn’t hedged, barely returned 7% last year, compared with 30% for the WisdomTree Japan Hedged Equity Fund .
The market is relatively cheap, trading at 15 times forward earnings, about where it was a decade ago, and events on the horizon could give it a boost. Masakazu Takeda, who runs the Hennessy Japan fund, expects earnings growth of mid-single digits—2% after inflation and an additional 2% to 3% as companies return more to shareholders through dividends and buybacks.
“We can easily get 10% plus returns if there’s no exogenous risks,” Takeda told Barron’s in December.
The first couple months of the year could be volatile as investors assess potential spoilers, such as whether the new Trump administration limits its tariff battle to China or goes wider, which would hurt Japan’s export-dependent market. The size of the wage increases labor unions secure in spring negotiations is another risk.
But beyond the headlines, fund managers and strategists see potential positive factors. First, 2024 will likely turn out to have been a record year for corporate earnings because some companies have benefited from rising prices and increasing demand, as well as better capital allocation.
In a note to clients, BofA strategist Masashi Akutsu said the market may again focus on a shift in corporate behavior that has begun to take place in recent years. For years, corporate culture has been resistant to change but recent developments—a battle over Seven & i Holdings that pits the founding family and investors against a bid from Canada’s Alimentation Couche-Tard , and Honda and Nissan ’s merger are examples—have been a wake-up call for Japanese companies to pursue overhauls. He expects a pickup in share buybacks as companies begin to think about shareholder returns more.
A record number of companies have also delisted, often through management buyouts, in another indication that corporate behavior is changing in favor of shareholders.
“Japan is attracting a lot of activist interest in a lot of different guises, says Donald Farquharson, head of the Japanese equities team for Baillie Gifford. “While shareholder proposals are usually unsuccessful, they do start in motion a process behind the scenes about the capital structure.”
For years, money-losing businesses were left alone in large corporations, but the recent spate of activism and focus on shareholder returns has pushed companies to jettison such divisions or take measures to improve them.
That isn‘t to say it is going to be an easy year. A more protectionist world could be problematic for sentiment.
But Japan’s approach could become a model for others in this new world. “Japan has spent the last 30 to 40 years investing in business overseas, with the automotive industry, for example, manufacturing a lot of the cars in the geographies it sells in,” Farquharson said. “That’s true of a lot of what Japan is selling overseas.”
Trade volatility that hits Japanese stocks broadly could offer opportunities. Concerns about tariffs could drag down companies such as Tokio Marine Holdings, which gets half its earnings by selling insurance in the U.S., but wouldn’t be affected by duties. Similarly, Shin-Etsu Chemicals , a silicon wafer behemoth that sells critical materials, including to the chip industry, is another potential winner, Takeda says.
If other companies follow the lead of Japanese exporters and set up shop in the markets they sell in, Japanese automation makers like Nidec and Keyence might benefit as a way to control costs in countries where wages are higher, Farquharson says.
And as Japanese workers get real wage growth and settle into living in an economy no longer in a deflationary rut, companies focused on domestic consumers such as Rakuten Group should benefit. The internet company offers retail and travel, both of which should benefit, but also is home to an online banking and investment platform.
Rakuten’s enterprise value—its market capitalization plus debt—is still less than its annual sales, in part because the company had been investing heavily in its mobile network. But that division is about to hit break even, Farquharson says.
A stock that stands to benefit from consumer spending and the waves or tourists the weak yen is attracting is Orix , a conglomerate whose businesses include an international airport serving Osaka. The company’s aircraft-leasing business also benefits from the production snags and supply-chain disruptions at Airbus and Boeing , Takeda says.
An added benefit: Its financial businesses stand to get a boost as the Bank of Japan slowly normalizes interest rates. The stock trades at about nine times earnings and about par for book value, while paying a 4% dividend yield.
Corrections & Amplifications: The past year is expected to turn out to have been a record one for corporate earnings in Japan. An earlier version of this article incorrectly gave the time frame as the 12 months through March. Separately, Masashi Akutsu is a strategist at BofA. An earlier version incorrectly identified his employer as UBS.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
A 30-metre masterpiece unveiled in Monaco brings Lamborghini’s supercar drama to the high seas, powered by 7,600 horsepower and unmistakable Italian design.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
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.
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