In a Sea of Tech Talent, Companies Can’t Find the Workers They Want
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
4 min
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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Selloff in bitcoin and other digital tokens hits crypto-treasury companies.
3 min
The hottest crypto trade has turned cold. Some investors are saying “told you so,” while others are doubling down.
It was the move to make for much of the year: Sell shares or borrow money, then plough the cash into bitcoin, ether and other cryptocurrencies. Investors bid up shares of these “crypto-treasury” companies, seeing them as a way to turbocharge wagers on the volatile crypto market.
Michael Saylor pioneered the move in 2020 when he transformed a tiny software company, then called MicroStrategy , into a bitcoin whale now known as Strategy. But with bitcoin and ether prices now tumbling, so are shares in Strategy and its copycats. Strategy was worth around $128 billion at its peak in July; it is now worth about $70 billion.
The selloff is hitting big-name investors, including Peter Thiel, the famed venture capitalist who has backed multiple crypto-treasury companies, as well as individuals who followed evangelists into these stocks.
Saylor, for his part, has remained characteristically bullish, taking to social media to declare that bitcoin is on sale. Sceptics have been anticipating the pullback, given that crypto treasuries often trade at a premium to the underlying value of the tokens they hold.
“The whole concept makes no sense to me. You are just paying $2 for a one-dollar bill,” said Brent Donnelly, president of Spectra Markets. “Eventually those premiums will compress.”
When they first appeared, crypto-treasury companies also gave institutional investors who previously couldn’t easily access crypto a way to invest. Crypto exchange-traded funds that became available over the past two years now offer the same solution.
BitMine Immersion Technologies , a big ether-treasury company backed by Thiel and run by veteran Wall Street strategist Tom Lee , is down more than 30% over the past month.
ETHZilla , which transformed itself from a biotech company to an ether treasury and counts Thiel as an investor, is down 23% in a month.
Crypto prices rallied for much of the year, driven by the crypto-friendly Trump administration. The frenzy around crypto treasuries further boosted token prices. But the bullish run abruptly ended on Oct. 10, when President Trump’s surprise tariff announcement against China triggered a selloff.
A record-long government shutdown and uncertainty surrounding Federal Reserve monetary policy also have weighed on prices.
Bitcoin prices have fallen 15% in the past month. Strategy is off 26% over that same period, while Matthew Tuttle’s related ETF—MSTU—which aims for a return that is twice that of Strategy, has fallen 50%.
“Digital asset treasury companies are basically leveraged crypto assets, so when crypto falls, they will fall more,” Tuttle said. “Bitcoin has shown that it’s not going anywhere and that you get rewarded for buying the dips.”
At least one big-name investor is adjusting his portfolio after the tumble of these shares. Jim Chanos , who closed his hedge funds in 2023 but still trades his own money and advises clients, had been shorting Strategy and buying bitcoin, arguing that it made little sense for investors to pay up for Saylor’s company when they can buy bitcoin on their own. On Friday, he told clients it was time to unwind that trade.
Crypto-treasury stocks remain overpriced, he said in an interview on Sunday, partly because their shares retain a higher value than the crypto these companies hold, but the levels are no longer exorbitant. “The thesis has largely played out,” he wrote to clients.
Many of the companies that raised cash to buy cryptocurrencies are unlikely to face short-term crises as long as their crypto holdings retain value. Some have raised so much money that they are still sitting on a lot of cash they can use to buy crypto at lower prices or even acquire rivals.
But companies facing losses will find it challenging to sell new shares to buy more cryptocurrencies, analysts say, potentially putting pressure on crypto prices while raising questions about the business models of these companies.
“A lot of them are stuck,” said Matt Cole, the chief executive officer of Strive, a bitcoin-treasury company. Strive raised money earlier this year to buy bitcoin at an average price more than 10% above its current level.
Strive’s shares have tumbled 28% in the past month. He said Strive is well-positioned to “ride out the volatility” because it recently raised money with preferred shares instead of debt.
Cole Grinde, a 29-year-old investor in Seattle, purchased about $100,000 worth of BitMine at about $45 a share when it started stockpiling ether earlier this year. He has lost about $10,000 on the investment so far.
Nonetheless, Grinde, a beverage-industry salesman, says he’s increasing his stake. He sells BitMine options to help offset losses. He attributes his conviction in the company to the growing popularity of the Ethereum blockchain—the network that issues the ether token—and Lee’s influence.
“I think his network and his pizzazz have helped the stock skyrocket since he took over,” he said of Lee, who spent 15 years at JPMorgan Chase, is a managing partner at Fundstrat Global Advisors and a frequent business-television commentator.
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