Recruitment experts say AI literacy is now a baseline expectation for graduates entering the workforce
AI is not eliminating entry-level jobs – it is fundamentally changing what those jobs require.
Across white-collar industries, from technology to finance and human resources, employers are raising the skills bar for new hires faster than ever, and younger workers who have grown up with AI tools are finding themselves better placed to meet those expectations.
That is the view from the recruitment coalface, where leaders say the shift has accelerated sharply over the past 12 months.
"It's no longer where we're looking at using AI – it is already embedded in terms of a lot of their processes around AI into the workplace," said Simon Yeung, managing director of Talent Melbourne.
"We're seeing a lot more training and development around AI, around how can employees use the tool to make them more effective, more productive."
The baseline has shifted
The nature of entry-level work is being redefined rather than removed. Evelina Samuels, recruitment expert and co-founder of Samuels Donegan, has observed that roles which once came with structured operational pathways – such as human resources co-ordinator and administrator positions – now carry far higher expectations from day one.
"Historically people could build capability through more structured operational roles," Samuels said. "Today those expectations are a lot higher earlier on – particularly around skills like data literacy, critical thinking, the ability to also interpret information. These are almost becoming your baseline expectations."
The scale of that shift, however, is still being debated. A May 2026 working paper by researchers at the University of Warwick, the London School of Economics, and Oxford's Ellison Institute of Technology found that when AI exposure and remote work exposure are measured simultaneously, the remote work effect on junior hiring holds firm while the AI effect largely collapses.
The study, which drew on 243 million new hire records across Australia, the United States, the United Kingdom and Canada, suggests that the flexible work arrangements many organisations locked in post-pandemic may be doing as much – if not more – to suppress junior hiring as automation itself.
Young workers' built-in advantage
Yeung says younger workers have a meaningful head start, simply because AI is woven into their daily lives before they enter the workforce.
"The younger generation is adopting AI as part of everyday life in terms of what they do, how they work, and [are] more accepting of the technology itself," he said.
"Young people are probably just more in tune because they've been using it ahead of people that have been in employment for 10 or 20 years."
That early adoption edge matters practically. As Yeung put it: "AI usage – the ability to leverage AI effectively – is becoming a workplace skill on its own. It's how you prompt, it's how you work with the AI that can give you that gain. And employers are looking for that."
The commercial value of that skill is measurable. PwC's 2026 Global AI Jobs Barometer, which analysed more than one billion job advertisements across six continents, found that the average wage premium for workers with AI skills hit 62 per cent – up from 57 per cent the previous year.
For workers who have not yet developed those skills, Samuels is candid about the challenge. Entry-level pathways, she noted, have become narrower, not broader.
"A lot of those entry-level roles and pathways, they're becoming quite narrow now," she said. "So it's not that they've got this choice of roles that they can look at."
Her advice to those seeking to catch up is to pursue upskilling and reskilling wherever possible.
The human element still matters
Neither expert argued that AI should – or will – replace human judgement in hiring or in early-career development. On the contrary, both flag the risk of over-reliance.
Samuels described a growing challenge in recruitment, where AI-polished applications are making it harder to identify genuine capability.
“Candidates are presenting really polished applications – everyone looks like they can do the job, but it doesn't truly reflect that capability," she said.
Her recommendation is to reintroduce human touchpoints earlier in the hiring process, rather than leaving them until the final interview stage.
Yeung echoed that balance. "The key to it – what we hear from clients – is not relying on AI to do all your work. It provides a guide, but it still needs the person coming in with that critical mindset, the creativity behind that."
For HR leaders weighing these pressures, the Australian government's own data suggests employment outcomes for young tertiary graduates have remained positive to date, even as AI exposure has begun to affect the rate of growth in some administrative occupations.
The message from both recruitment experts reinforces that AI literacy must be treated as a foundational skill – not a nice-to-have – while the human capacity for judgement, creativity and connection remains the differentiator that technology cannot replicate.
