How cost of living pressures are impacting the health of Australians
Money worries are having a cascading effect on stress levels, conflict and even the rate of ageing
Money worries are having a cascading effect on stress levels, conflict and even the rate of ageing
Worrying about the cost of living is causing accelerated ageing, household arguments and creating significant stress, according to new research. More than half of Australians say they have experienced personal setbacks due to financial strain over the past year. Almost 20 percent say that have suffered a stress-related illness, 33 percent have lost sleep and almost one in five are seeing signs of early ageing.
Household hostility is also rising, with 19 percent of Australians admitting they have argued with their partners about money, and a further one in 10 have argued with family and friends.
The Finder survey of 1,070 Australians reveals women are bearing the brunt of financial stress, with 62 percent reporting they have worried about money compared to 42 percent of men.
Younger Australians are struggling the most, with almost 7 in 10 Gen Z respondents reporting financial strain compared to 58 percent of Gen Xers and 24 percent of baby boomers.
The impact of cost-of-living pressures among different age groups and income levels is reflected in new data from the Australian Bureau of Statistics (ABS). The selected living cost indexes show employee households are under more strain from inflation, with the CPI measure for this population group at 6.5 percent today compared to the official overall CPI figure of just 3.6 percent.
The discrepancy is due to higher mortgage interest payments – which make up a higher proportion of expenditure for employee households — as well as an increase in primary and secondary school fees, and the indexation of tertiary education fees at the start of the year. The official CPI does not include mortgage payments, so the living cost indexes provide a more accurate picture of how rising interest rates are impacting households with mortgages today.
The inflation rate is much lower for older Australians, who have often paid off their mortgages. The inflation rate on living expenses for age pensioner households is below the official CPI level at 3.3 percent, and it’s only slightly higher at 3.4 percent for self-funded retirees.
Graham Cooke, head of consumer research at Finder, said that despite cooling inflation, Australians were still under significant financial pressure.
“This can be seen in Finder’s Cost of Living Pressure Gauge, which has been hovering in the extreme range for the past year and a half,” Mr Cooke said. The gauge returned a reading of 78 percent in March this year compared to 47 percent in March 2021, when inflation was 1.1 percent and the Reserve Bank’s official cash rate was 0.1 percent.
Interestingly, Australians’ cash savings are higher today than they were in 2021, likely reflecting stimulus payments received and saved during the pandemic. The Reserve Bank has cited pandemic savings as a factor in keeping mortgage arrears low despite much higher interest rates. The Finder research shows Australians have an average of $37,206 in cash savings today, up from $24,928 two years ago.
“Money concerns can cause problems in your everyday life and snowball quickly if you don’t get them under control,” Mr Cooke said. “Building financial resilience is as vital as ever as costs continue to rise. Pay close attention to where your money is going so you keep impulse spending to a minimum, and don’t overspend.”
Australians appear to be heeding this advice, with the latest ABS retail figures showing seven straight quarters of declining per capita spending. “Per capita volumes show retail turnover after the effects of inflation and population growth have been accounted for,” explained Ben Dorber, ABS head of retail statistics. “Following an unprecedented seven straight falls, it is very clear how much consumers have pulled back on spending in response to cost of living pressures over the past two years.”
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
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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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A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.