AI is beginning to reshape how Australian small and medium-sized businesses hire, pay and structure roles, as exclusive Employment Hero platform data reveals early growth of up to 600 per cent in key metrics.
The figures – based on anonymised, real-time insights from 200,000 Employment Hero users – show the trend extends well beyond the tech sector, as AI skills are referenced in job ads for customer service, marketing and even healthcare roles. While sample sizes are at this nascent stage small, the results suggest AI adoption is trickling down to SMEs and employers are recalibrating what they expect from both new hires and existing teams.
Generative AI Becomes a Baseline Hiring Expectation
The most striking shift is in the skills employers now list in job advertisements. Ads posted on Employment Hero’s platform mention “generative AI” as a required or desirable skill at a rate 635 per cent higher than 18 months ago.
Alongside that surge, terms that had zero mentions in 2024 are now starting to appear. Listings for familiarity with “AWS” have risen eightfold and “Azure” and “Copilot” fivefold, while “AI Agent” or “Agentic” have all entered the SME hiring vocabulary for the first time – up from zero mentions in 2024.
The overall base remains modest. AI-related job postings on the platform numbered 79 in 2024 and reached 262 in the first quarter of 2026 alone. But the growth trajectory, from roughly 0.04 per cent of all postings to 0.2 per cent, suggests these early signals are directionally significant and worth monitoring closely.
AI Skills Are Appearing in Roles Few Would Expect
The requests for AI capabilities are not niche technical requirements buried in software engineering ads. They are showing up across a range of roles as employers signal that AI literacy is becoming a day-one expectation for candidates who may never have considered themselves “tech workers.”
Outside IT, the sectors posting the most AI-related roles are call centre and customer service at 2.9 per cent share, followed by marketing at 2.1 per cent. These are not specialist data science positions but rather frontline and mid-level roles where AI tools are being woven into daily workflows.
Perhaps more surprising are the specific job titles now listing AI skills as requirements. Care partners, web content proofers and clinicians have all appeared with AI-related expectations on the Employment Hero platform. The pattern suggests that AI proficiency is no longer confined to roles with “engineer” or “developer” in the title. It is spreading into operational and service-based positions across small businesses in healthcare, professional services and beyond.
Workers Are Already Making the Jump
The data also reveals movement within existing workforces. 77 employees on Employment Hero’s platform have been observed transitioning from non-AI-titled roles into AI-titled positions. The year-on-year transition rate has doubled.
Of those who made the switch, one in three received a seniority upgrade alongside the role change. That early indicator points to internal mobility and upskilling as viable pathways for SME employees when their employers lack the budget to compete for expensive AI specialists on the open market. Business owners who enable upskilling, whether through formal training or adjusted role descriptions, may gain an advantage without incurring the cost of external recruitment.
A Salary Premium Is Forming but Context Matters
SMEs will watch with an interest a possible salary premium for high-tech roles. Emerging data suggest that AI-related job postings on Employment Hero’s platform carry a median salary of $95,000, compared with $80,000 for non-AI postings.
Among workers already employed in AI-titled positions, the median salary sits considerably higher at $150,000. But that figure reflects a workforce that currently skews mid-to-senior rather than a universal market rate for AI skills, and it may decrease as more junior and mid-level roles incorporate AI requirements.
For SME employers, there are practical implications. First, adding AI literacy to role descriptions may influence the salary expectations of incoming candidates. Businesses that understand the premium can budget accordingly rather than being caught off guard during negotiations.
Second, investing in upskilling current team members could prove more cost-effective than hiring externally at a premium, particularly for businesses outside major capital cities or the tech sector.
The broader picture these early signals paint is one of quiet, steady change. AI is not arriving in SME workplaces as a single dramatic event. It is showing up incrementally: in a revised job ad, a reskilled employee or a slightly higher salary offer for a marketing coordinator who can use AI tools. SME owners and HR managers who pay attention to these early indicators from real workplace data may be better positioned to adapt their hiring and workforce planning before the shift accelerates further.
