Gold Could Hit $5,000, Strategist Says. Why Others Are Worried About a Crash.

Investors normally don’t talk about the risks of a bubble forming in the asset that they’re buying to hedge against a different bubble, but gold’s extraordinary surge is starting to trigger uncomfortable conversations about the yellow metal’s bullish prospects.

Gold prices have gained more than 55% this year, blowing past the $3,000 an ounce mark in early spring and topping the $4,000 threshold for the first time on record last month. Gold was up another 3.3% to $4,108.60 in Monday trading, a new record high.

Myriad reasons have been cited for the surge, including the slumping U.S. dollar, soaring tech stocks that have concentrated broader market risks into a handful of megacap tech names, purchases by central banks seeking to diversify away from the dollar, and renewed inflation risks tied to ongoing tariff and trade disputes.

Central bank buying has also been significant, with China alone adding 39.2 tons to its overall holdings since it returned to the market in November of last year.

“Central banks’ appetite for gold is driven by concerns from countries about Russian-style sanctions on their foreign assets in the wake of decisions made by the U.S. and Europe to freeze Russian assets, as well as shifting strategies on currency reserves,” said ING commodities strategist Ewa Manthey.

“The pace of buying by central banks doubled following Russia’s invasion of Ukraine in 2022.”

Gold-backed ETFs , meanwhile, are attracting billions in new investments, with overall additions likely to have topped 100 tons over the three months ending in September. That’s more than triple the quarterly average over the past eight years.

The combination of forces is likely to drive more gains for gold in the months ahead, according to Société Générale’s commodity research team, headed by Mike Haigh.

“Gold’s ascent to $5000 seems increasingly inevitable,” Haigh wrote in a note published Monday, citing both strong ETF flows and renewed central bank purchases.

Haigh also notes that ETF flows are tracking a rise in SocGen’s U.S. uncertainty index, which is now pegged at more than three times the level it reached over the five months before last year’s presidential election win for President Donald Trump.

“We cannot imagine a situation where we return to pre-Trump index uncertainty normalcy over our forecast horizon, so ETF flows are a key component to our price forecasting,” Haigh said. His $500o price target is pegged for the end of 2026.

Lisa Shalett, chief investment officer at Morgan Stanley Wealth Management, has a different take, tied in part to what she sees as a way for governments to “challenge the dollar’s stranglehold on global money movements.”

Gold holdings, Shalett argues, can “improve collateralisation of their fiat currencies and/or cryptocurrencies in a world where currency markets undefined may be remade by digital assets, cryptocurrencies, and stablecoins.”

The gold market’s mimicry of previous historic booms, however, has caught the attention of Bank of America analyst Paul Ciana, who cautioned in a note published last week that “prices have tended to pivot near round-number levels.”

Citing data showing “midway corrections” in long term bull markets for gold, Ciana sees the chances for a near-term pullback that “rhymes” with pullbacks of around 40% in the mid-1970s and 25% following the global financial crisis in 2008.

“This boom is about 10 years old, smaller in size than the 1970s and 2000s boom but nearly as old,” Ciana wrote. “This warrants caution into round number resistance at $4,000, or again later at $5,000.”

Gold isn’t likely a bubble. It’s hard for central banks to sell, and many of the countries encouraging its import, like China and India, also make it difficult for investors to move offshore.

But gold did lose around 60% of its value in the two decades that followed its 1970s boom, with bear markets following in 2008 and 2015.

This year’s really is still going strong, of course, but with gold’s advance tied to nearly all of the concerns currently gripping financial markets, maybe it’s worth asking if it’s being “all things to all people” is the best kind of hedge—or just another risky bet on rising prices.

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.

Gold Could Hit $5,000, Strategist Says. Why Others Are Worried About a Crash.

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

Playing a different game

Overlooked