China Pumps Up Support for Country’s Stock Markets
The latest round of policy boosts comes as stocks start the year on a soft note
The latest round of policy boosts comes as stocks start the year on a soft note
China’s securities regulator is ramping up support for the country’s embattled equities markets, announcing measures to funnel capital into Chinese stocks.
The aim: to draw in more medium to long-term investment from major funds and insurers and steady the equities market.
The latest round of policy boosts comes as Chinese stocks start the year on a soft note, with investors reluctant to add exposure to the market amid lingering economic woes at home and worries about potential tariffs by U.S. President Trump. Sharply higher tariffs on Chinese exports would threaten what has been one of the sole bright spots for the economy over the past year.
Thursday’s announcement builds on a raft of support from regulators and the central bank, as officials vow to get the economy back on track and markets humming again.
State-owned insurers and mutual funds are expected to play a pivotal role in the process of stabilizing the stock market, financial regulators led by the China Securities Regulatory Commission and the Ministry of Finance said at a press briefing.
Insurers will be encouraged to invest 30% of their annual premiums earning from new policies into China’s A-shares market, said Xiao Yuanqi, vice minister at the National Financial Regulatory Administration.
At least 100 billion yuan, equivalent to $13.75 billion, of insurance funds will be invested in stocks in a pilot program in the first six months of the year, the regulators said. Half of that amount is due to be approved before the Lunar New Year holiday starting next week.
China’s central bank chimed in with some support for the stock market too, saying at the press conference that it will continue to lower requirements for companies to get loans for stock buybacks. It will also increase the scale of liquidity tools to support stock buyback “at the proper time.”
That comes after People’s Bank of China in October announced a program aiming to inject around 800 billion yuan into the stock market, including a relending program for financial firms to borrow from the PBOC to acquire shares.
Thursday’s news helped buoy benchmark indexes in mainland China, with insurance stocks leading the gains. The Shanghai Composite Index was up 1.0% at the midday break, extending opening gains. Among insurers, Ping An Insurance advanced 3.1% and China Pacific Insurance added 3.0%.
Kai Wang, Asia equity market strategist at Morningstar, thinks the latest moves could encourage investment in some of China’s bigger listed companies.
“Funds could end up increasing positions towards less volatile, larger domestic companies. This could end up benefiting some of the large-cap names we cover such as [Kweichow] Moutai or high-dividend stocks,” Wang said.
Shares in Moutai, China’s most valuable liquor brand, were last trading flat.
The moves build on past efforts to inject more liquidity into the market and encourage investment flows.
Earlier this month, the country’s securities regulator said it will work with PBOC to enhance the effectiveness of monetary policy tools and strengthen market-stabilization mechanisms. That followed a slew of other measures introduced last year, including the relaxation of investment restrictions to draw in more foreign participation in the A-share market.
So far, the measures have had some positive effects on equities, but analysts say more stimulus is needed to revive investor confidence in the economy.
Prior enthusiasm for support measures has hardly been enduring, with confidence easily shaken by weak economic data or disappointment over a lack of details on stimulus pledges. It remains to be seen how long the latest market cheer will last.
Mainland markets will be closed for the Lunar New Year holiday from Jan. 28 to Feb. 4.
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.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
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