Investors Are Betting on a Market Melt-Up
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Investors Are Betting on a Market Melt-Up

They have flocked to stock funds at a pace rarely seen since 2008, but some warn that shares look expensive historically

By GUNJAN BANERJI
Mon, Nov 18, 2024 8:23amGrey Clock 4 min

A roaring market rally since the U.S. presidential election has driven up the price of everything from shares of technology and manufacturing giants to cryptocurrencies. Many investors are betting it has room to run.

Investors have stampeded into funds tracking U.S. stocks and picked up trades that would profit if the rally that recently sent the S&P 500 above 6000 for the first time reaches new heights.

U.S. equity exchange-traded and mutual funds drew nearly $56 billion in the week ended Wednesday, the second-largest weekly haul in records going back to 2008, according to EPFR data. Such funds have drawn inflows for seven consecutive months, the longest streak since 2021, when a dizzying market melt-up sent stocks to repeated records.

Driving the optimism? Many investors said they expect lower taxes and fewer regulations during Donald Trump ’s second term as president.

Dominic Rizzo, a technology portfolio manager at T. Rowe Price , said tariffs could boost U.S. manufacturing, driving a surge in domestic spending and investment. Other investors are simply breathing a sigh of relief that the election has passed.

The share of investors surveyed by the American Association of Individual Investors who said they were bullish jumped to 49.8% this past week, while the share of those reporting a neutral sentiment dropped to the lowest level since 2022. About 40% of those surveyed said the U.S. election made them more optimistic about the market.

“Animal spirits are alive and well right now,” Rizzo said.

Rizzo oversees shares of Nvidia and other tech giants. After a big run-up, he is still optimistic about the group ahead of Nvidia’s earnings report Wednesday. Investors are also fixated on the presidential transition and how it might shape the market’s winners and losers.

Some market watchers caution that investors might be too quick to latch on to policies that could boost markets, while ignoring plans that might stir inflation and market volatility.

Stocks wobbled at the end of the past week, and bitcoin retreated. Trump’s appointment of the vaccine skeptic Robert F. Kennedy Jr. as health and human services secretary pressured several stocks including Moderna and Pfizer . Shares of Tesla , which soared after the election and pushed the company’s market cap back above $1 trillion, have stumbled in recent sessions. Shares of Trump Media & Technology Group fell 12% for the week.

Still, the S&P 500 index and the Nasdaq Composite closed Friday within about 3.2% of their respective record highs. With just weeks left in 2024, the S&P 500 is on track to jump more than 20% for the year, the second consecutive year of gains of that magnitude. It is a back-to-back advance that has been seen only three times over the past century, according to Deutsche Bank.

Joe Johnson, 37, said he has waded into hot stocks including Nvidia, Tesla and a crypto play, MicroStrategy . His portfolio has swelled this year, and he is feeling so good about the market that he is thinking about pouring his cash pile into stocks. He is eyeing such industrial giants as Caterpillar and Deere , which he believes will benefit from a strong economy.

“I am bullish on the market,” Johnson said. “The euphoria everyone is feeling is warranted.”

Johnson said he is excited about Trump’s presidency and expects his policies to benefit his small business in Maryland, which sells boat-maintenance kits, engine parts and protective covers.

Many investors have piled into segments of the market such as small companies, which are especially sensitive to the economy.

The Russell 2000 has risen almost 2% since the election, and one of the largest exchange-traded funds tied to the index attracted $3.9 billion in inflows in a single session this month, the most since June 2007. Money managers, meanwhile, have increased positions that would pay out if the rally continued, driving net bullish bets in the futures market to the highest level in more than four years.

Some of the riskiest corners of financial markets are thriving too. Three of the top five days for trading in call options, trades that give the right to buy shares, have occurred this month, according to options records going back to 1973. That has pushed up the cost of bullish trades that would profit if stocks soared.

A frenzy of trading in cryptocurrencies sent bitcoin prices above $90,000 and unleashed a historic rush into crypto funds. Dogecoin, a speculative coin backed by nothing, shot up after Trump revealed plans to create a government-efficiency department called DOGE, to be co-led by Elon Musk , a dogecoin evangelist. Its $55 billion market cap now tops that of Ford Motor.

Trading in the over-the-counter market, which includes riskier securities such as penny stocks, has surged 27% in November from the same time last year, according to OTC Markets Group.

Some said stocks are looking expensive after their recent run. The S&P 500 recently traded at 22 times its expected earnings over the next 12 months, above its five-year average of roughly 20. A Bank of America strategist, Savita Subramanian, called market sentiment and positioning “dangerously bullish” in a note to clients Friday.

Bond investors have been sending a different signal, driving the benchmark 10-year Treasury yield to 4.426% on Friday, up from 4.072% around a month ago. They are banking on bigger deficits and higher inflation in the years ahead. Federal Reserve Chair Jerome Powell indicated Thursday that the central bank will take its time to trim interest rates, pressuring bonds and stocks.

One measure closely tracked by investors, the equity risk premium —or the gap between the S&P 500’s earnings yield and that of 10-year Treasurys—shrank close to zero, the lowest level since 2002, according to Dow Jones Market Data. That means the reward for owning stocks over bonds is dwindling.

“The market is awfully expensive to have a melt-up,” said Rob Arnott , the founder and chairman of Research Affiliates.



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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.

By CALLUM BORCHERS
Thu, Oct 2, 2025 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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