The global white collar job market is shifting faster than most graduates can update their CVs. Recent industry figures point to 77,999 jobs cut in 2025 across 342 tech companies, with a growing share of those losses linked directly to artificial intelligence. Companies using AI have already admitted that in 2023 they let staff go because they were “no longer needed”, and by 2024 almost half of firms using or planning to use AI said staff would “definitely” or “probably” be laid off.
What is new in this cycle is the collapse in the entry ramp. Major tech firms cut graduate recruitment by around a quarter in 2024 compared with the year before. These are not just routine jobs being automated away after a decade in the role. These are starter positions that never appear in the first place, as companies redesign their hiring structures around automated tools and smaller core teams.
Global forecasts still promise fresh opportunities. While 85 million roles are expected to be displaced by 2025, 97 million new ones may appear. The catch lies in the fine print. Around 77 percent of AI related openings are projected to require a master’s degree and 18 percent a doctorate. For many young workers who did what was asked of them, a standard four year degree no longer buys the same access.
Inside large tech firms, the transition is already visible. One major chief executive says 30 percent of company code is generated by AI. At the same time, more than 40 percent of recent layoffs have fallen on software engineers. Copywriting teams have been pared back as automated content tools spread through marketing departments, and surveys suggest more than 80 percent of digital marketers believe AI will replace content writers. The careers parents once described as safe and future proof look exposed.
The risk spreads well beyond coding and copy. Routine heavy, office based roles such as programming, accounting, auditing, legal and administrative support, customer service, telemarketing, proofreading and credit analysis are all flagged as highly vulnerable. International data shows that 14 percent of workers have already been displaced by automation or AI, with some estimates suggesting the technology could replace the equivalent of 300 million full time roles worldwide.
The burden is not shared equally. Global studies suggest 79 percent of employed women in the United States work in roles at high risk of automation, compared with 58 percent of men. Globally, 4.7 percent of women’s jobs face severe disruption from AI compared with 2.4 percent of men. In high income countries the gap is even wider, with nearly 10 percent of women’s roles classed as highest risk compared with just over 3 percent for men. What looks like an abstract efficiency story on a slide deck translates into a gendered hit to income and security.
The strain is already showing up in job market data. January 2025 recorded the lowest number of professional services job openings since 2013, with vacancies down around 20 percent on the year before. Surveys from 2024 show 40 percent of white collar job seekers could not secure a single interview. Many are watching automated tools take over parts of their profession before they have even entered it.
The Datacom report argues for a socio-technical approach that treats people and technology as a single system. That means building workplaces where AI takes on routine tasks, while humans focus on judgment, creativity and care
Australia sits inside this global storm but is trying to nudge the story in a different direction. Local technology services provider Datacom has welcomed the Federal Government’s new National AI Capability Plan, arguing that the right settings could turn a wave of anxiety into a productivity lift.
“Productivity growth has stalled, and the pressure to do more with less is mounting. AI—particularly agentic AI—presents a timely opportunity to reverse this trend, but only if we bring people along on the journey,” said Laura Malcolm, Managing Director of Datacom Australia.
Datacom’s new report, The Productivity Pivot: AI, people and the future of work, sketches a mixed picture. On one hand, a YouGov poll for the report found 89 percent of Australians believe adopting new technology is important for lifting national productivity, and 73 percent think AI will help them do their jobs more easily and quickly. On the other, 71 percent say they want to improve their tech literacy, and Datacom estimates that around one in six Australians have low confidence with digital tools.
“The research we commissioned showed that while nine in ten (91%) of employers say they are encouraging employees to use AI for regular work tasks, just 50% of employees are making use of AI in their day-to-day activities at work and just one in three (33%) of employees had received any technology skills training in the past 12 months,” Malcolm said.
That gap between encouragement and training sits at the heart of Australia’s AI problem. A growing share of employers want staff to integrate AI into their daily workflow, yet a sizeable part of the workforce lacks the support, coaching and time to do it safely. The government’s AI Capability Plan tries to push on that exact point through incentives, training programmes and public sector adoption.
“Australians are open to using AI, but many don’t feel ready. The Government’s AI Capability Plan is a welcome signal—now we need coordinated action across policy, industry and education to ensure people have the skills and confidence to adopt AI safely and effectively.”
The Datacom report argues for a socio-technical approach that treats people and technology as a single system. That means building workplaces where AI takes on routine tasks, while humans focus on judgment, creativity and care. The report points to case studies where AI tools are already speeding up payroll checks, housing approvals and software upgrades in government agencies and councils, freeing staff to handle more complex work.
leading AI executives warn that half of all junior white collar roles could disappear within five years, and that as much as half the world’s workforce could feel the impact by 2027
Malcolm is clear that public trust will make or break that effort. “If we want to unlock AI’s full potential, we must build public confidence. That means fair, explainable, human-centred systems supported by the right guardrails.” She frames the government’s new plan as a chance to reset how the country thinks about digital skills and work. “With the right policy settings, we can move from being digitally enabled to digitally empowered. This is a moment to ensure AI augments the work people do – not replaces it – and that every Australian has the opportunity to benefit.”
The policy levers now being discussed in Canberra mirror that argument. Datacom’s paper highlights three broad tools: financial incentives for AI adoption and workforce training, government procurement that supports local AI capability, and lighter touch regulation that focuses on outcomes rather than rigid rules. The Productivity Commission has taken a similar line, warning that poorly designed regulation could stifle innovation, but arguing that AI specific laws should be reserved for cases where existing rules clearly fall short.
For graduates staring at shrinking entry level pathways, this may sound like cold comfort. Globally, leading AI executives warn that half of all junior white collar roles could disappear within five years, and that as much as half the world’s workforce could feel the impact by 2027. Against that backdrop, an Australian skills plan and a set of tax incentives can feel modest.
Yet the choice is increasingly stark. Either countries use AI to hollow out early career roles, or they design systems where those tools sit beside people, with clear programmes to move displaced workers into new tasks. Australia’s own productivity record has been weak for more than a decade, and the Datacom report is blunt that without meaningful technology adoption the country will keep working more hours for less gain.
The global data suggests AI is already reshaping white collar work and squeezing the space where younger workers usually start. The local debate now is whether Australia can match that pressure with a serious investment in skills, fair rules and public sector leadership, so that the machines do not simply write off a generation of human potential.
Sources: FinalRoundAI, AIPRM, SSRN, Fox Business, Goldman Sachs, National University, AIMultiple, Work on Peak, Nexford University, Datacom (The Productivity Pivot: AI, people and the future of work), Tech Council of Australia, Australian Productivity Commission, McKinsey
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