Australia’s Central Bank Remains Jittery About Inflation Risks, Global Uncertainty
Minutes suggested the central bank is in no rush to cut the official cash rate
Minutes suggested the central bank is in no rush to cut the official cash rate
SYDNEY—The Reserve Bank of Australia remains jittery about the risks of higher inflation and will have little tolerance for any data that point to further delays in taming price pressures, according to the minutes of its latest policy meeting.
“Given the already lengthy period in which inflation had been above (2% to 3%) target, the board will have minimal tolerance to accommodate a more prolonged period of high inflation, even if this occurred because of factors that constrained the economy’s supply capacity,” minutes of the meeting held on Nov. 4-5 said.
The RBA left the official cash rate at 4.35% at the meeting, completing a full year since policy settings were last changed.
Economists remain confident that the RBA will start to cut interest rates in the first half of next year, but money markets are far less optimistic, with recent swap market pricing suggesting the RBA could be delayed until August.
To be sure, the minutes suggested the RBA is in no rush to cut the OCR, given numerous warnings about stubborn inflation pressures and a comment that the board will need to see more than one good quarterly inflation outcome to be confident that a fall in inflation was sustainable.
Inflation remained above the target band in the third quarter, with policymakers concerned that core inflation readings remain stubbornly high, while price pressures in the services sector of the economy remain sticky.
“Members observed that underlying inflation…remained too high and that staff forecasts did not see inflation returning to target until 2026,” the minutes said.
The RBA said it isn’t ruling anything in or out in terms of policy decisions, implying that under the right conditions, an interest rate increase might still be needed.
The minutes showed the policy-setting board explored several scenarios that might see it raise or lower the OCR.
The RBA was among the last of the major central banks to start raising interest rates following the global spike in inflation at the end of the Covid-19 pandemic, while also not tightening as far as its peers over ensuing years.
Global events might yet determine the outlook for interest rates. The minutes cited a number of growing international risks including uncertainty about the policy direction of the Trump White House, the size and composition of stimulus to support China’s economy, and the potential for unsustainable growth in global government debt.
“It was not yet possible to factor in events such as these, given pertinent details were unknown and still largely unpredictable,” the minutes said.
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.
On October 2, acclaimed chef Dan Arnold will host an exclusive evening, unveiling a Michelin-inspired menu in a rare masterclass of food, storytelling and flavour.
BMW has unveiled the Neue Klasse in Munich, marking its biggest investment to date and a new era of electrification, digitalisation and sustainable design.