Artificial intelligence has arrived, bringing undeniable convenience, but also genuine anxiety. In the past, we always discussed whether AI would replace human jobs in the future, but the latest data shows that this “future” may have already arrived. An expert from the University of Sydney Business School, through in-depth analysis of the US job market, has found that AI reshaping the employment structure is not alarmist, but an ongoing reality.
Even more alarming is the possibility that Australia may soon follow suit. Clinton Free, Executive Director of Education at the University of Sydney Business School, wrote in The Conversation that the latest data from the U.S. Bureau of Labor Statistics shows that jobs heavily reliant on routine information processing are experiencing the most significant contraction. The sectors most affected are customer support, administration, software, and IT services.
Following closely behind are marketing, banking, travel, and retail, while the declines are relatively mild, the downward trend is clearly visible. For Australia, this is by no means a topic it can remain uninvolved in. Fry specifically points out that the industries mentioned above are precisely the sectors of the Australian economy that absorb a large portion of the workforce. In other words, what is happening in the United States, Australia may very well experience soon as well. For decades, job growth in the United States has been primarily driven by white-collar jobs. But in the past three years, this model has been completely disrupted.
The data Fry presented was straightforward: there were approximately one million more blue-collar jobs than white-collar jobs. Manual labor jobs saw a slight increase, while office jobs declined slightly. This growth was primarily concentrated in sectors relatively less impacted by AI, such as construction and maintenance. Meanwhile, sectors like finance, consulting, management, and corporate support—jobs that had seen steady growth for decades—have largely stagnated. These functional areas are precisely the cornerstones of modern organizations.
Free believes this means the next wave of disruptive change may already be quietly brewing. If layoffs are an obvious warning sign, then the “hidden signal” that Freer sees as even more alarming is the reduction in entry-level positions. Data shows that the unemployment rate for recent college graduates in the United States has climbed to about 5.6%, while the overall unemployment rate is about 4%, and the unemployment rate for experienced graduates is only about 3%.
Even more worrying is that a staggering 42.5% of recent graduates are “underemployed”—meaning they are doing jobs that don’t require a college degree at all. The meaning of this signal is straightforward: as AI begins to take on entry-level tasks, the pathways for young people to enter the workforce are narrowing. For centuries, technological advancements have consistently replaced human labor, but Fried believes the impact of AI this time will be more profound than ever before. There are three reasons for this: First, the speed is unprecedented. ChatGPT, for example, accumulated over 100 million users in just two months after its launch.
This is an adoption rate that is almost unprecedented in the history of human technology. Second, AI is no longer just doing “odd jobs”. Past technological revolutions primarily replaced manual labor or highly repetitive assembly line work. But this time, AI is beginning to venture into professional fields requiring cognitive abilities—drafting legal documents, writing code, analyzing financial statements, generating marketing content… AI is gradually taking over these tasks that originally belonged to “white-collar professionals.” Third, the impact is on the entire industry.
Traditional technological changes often reshape only a specific industry, such as textiles or manufacturing. But the impact of AI spans almost all industries, and virtually no sector can remain completely unaffected.
At the end of the article, Frye offers a conclusion that everyone should consider: the question now is no longer whether AI will change jobs—it already is. The real question is how quickly it will change, and who will pay the price.
As anxieties about AI taking away jobs grow, Freer is urging the government to launch a national dialogue on the issue as soon as possible and to develop corresponding policies to address the impact of AI on the job market. After all, technology waits for no one. What we can do is anticipate the direction of the tide.