GameStop Confirms Plans to Invest in Bitcoin. The Stock Is Climbing.
GameStop has approved adding Bitcoin to its balance sheet, confirming speculation as the company explores new growth avenues.
GameStop has approved adding Bitcoin to its balance sheet, confirming speculation as the company explores new growth avenues.
Videogame seller and meme stock GameStop said its board approved adding Bitcoin as an investment.
The company announced its board unanimously approved an update to its investment policy to add Bitcoin as a treasury reserve asset. In a filing, it said “a portion of our cash or future debt and equity issuances may be invested in Bitcoin” and that it had not set a maximum on the amount of Bitcoin it could accumulate or sell. The move had been the subject of recent speculation as GameStop seeks new sources of growth.
For the fourth quarter ended Feb. 1, GameStop reported net sales of $1.28 billion, below the $1.48 billion analysts surveyed by FactSet had expected.
Adjusted earnings of 29 cents a share beat the 8 cents a share analysts expected. Net income of $131.3 million was also above the $33 million expected.
Shares were up 6% in late trading, after closing down 0.8% on Tuesday, at $25.80. Shares traded as low as $24.99 intraday, down 2.4%, the largest intraday percentage decline since March 12, according to Dow Jones Market Data.
Analysts and investors have been more interested in updates on the company’s strategic direction than its earnings results, as GameStop faces questions about the profitability of its core business. It has been closing physical stores and expanding beyond videogames amid the continuing shift to digital gaming.
The company said it completed its divestiture in Italy and the wind-down of store operations in Germany.
For the full fiscal year ended Feb. 1, GameStop reported net sales of $3.82 billion, below the $4.02 billion expected.
Net income of $131.3 million and earnings of 33 cents a share both beat analysts’ expectations.
GameStop stock has risen 64% over the past 12 months, in part because of the return of investor Keith Gill, also known as “Roaring Kitty,” who said in a YouTube livestream in June 2024 that he is still a “ believer ” in GameStop. The shares are down 19% this year through Tuesday’s close.
“Roaring Kitty’s” social media posts helped fuel the meme stock frenzy in early 2021, pushing GameStop’s stock to its record high of $86.88 on Jan. 27, 2021.
Michael Pachter, a managing director at Wedbush Securities and former CEO of Take-Two Interactive Software who specializes in the videogame sector, said the company’s recent moves into trading cards was unlikely to be the catalyst that would turn around the core business.
“It is unfathomable that they will ever turn their core business (selling games) around by offering trading cards in their stores,” he told Barron’s in an email. When GameStop announced it was getting into the collectible trading cards business last October, he noted the company’s “utter lack of competitive advantage” in the “wildly fragmented” business.
“The company has once again accelerated store closures in an attempt to save its way to prosperity, and its plans to enter the trading card business and to invest in cryptocurrency are striking in their lack of specificity,” Wedbush analysts led by Pachter wrote in a research note Monday.
They said that GameStop’s entry into trading cards and crypto followed its last two attempts at a turnaround, and that its shares “trade at a level that ignores the company’s many challenges ahead.” They called its entry into cryptocurrency “an unsubtle attempt to emulate the success of MicroStrategy , which trades at less than 2x the value of its Bitcoin holdings.” They reiterated their Underperform rating and their 12-month price target of $10.
“Far more likely, they will continue to slowly liquidate by selling off assets” and by closing stores when their leases expire, Pachter said Monday. “That leaves them with ‘profits’ on investment income from their $4.6 billion cash hoard, which they raised by virtue of their meme stock status.”
GameStop management doesn’t hold conference calls to discuss results, and because few analysts follow the company, the consensus forecast as tracked by FactSet includes just two estimates.
Based in Grapevine, Texas, the company offers games and entertainment products online and in stores in the U.S., Canada, Australia, and Europe.
Pachter noted that GameStop’s stock price, trading around 2.5 times cash, suggests investors have faith in CEO Ryan Cohen’s ability to pick investments for them.
In February, Cohen posted a photo of himself on social media with Michael Saylor, co-founder and executive chairman of MicroStrategy, the largest institutional holder of Bitcoin , apparently helping to fuel the rumors about GameStop’s own crypto ambitions.
“MicroStrategy trades as around twice the value of its Bitcoin holdings, so it remains to be seen if Ryan Cohen can find a better cryptocurrency to invest in and drive GME share to 2.6 times the value of its assets,” Pachter said.
On March 3, GameStop announced a deal with digital financial services company Zip Co. to let U.S. customers pay in installments for their online and in-store gaming purchases.
Zip U.S. CEO Joe Heck said at the time that nearly 84% of Zip’s U.S. customers shop for gaming and accessories at GameStop. “Gaming is one of Zip’s most popular categories overall, making Zip an ideal partner for helping these shoppers responsibly purchase goods and services from one of the industry’s fan-favorites and top businesses.”
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.
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.”
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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