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AI in recruitment in Australia and New Zealand: why ROI still isn’t landing in 2026

Most recruitment agencies in Australia and New Zealand are already using AI. But very few are seeing meaningful return from it. 

According to Access Recruitment’s AI in Recruitment 2026 Outlook, just 10.3% of ANZ agencies report good or excellent ROI from AI, despite widespread adoption across the industry.

Trends & Insights
3 mins

Posted 28/04/2025

AI in Recruitment ANZ: Why ROI Still Falls Short

That gap matters because right now, the ANZ recruitment market is growing, not slowing. Job demand remains strong, and agencies are under pressure to scale without inflating headcount. 

So, the real question isn’t whether AI is being used. It’s why it isn’t translating into performance. 

The Real Divide Isn’t AI Adoption. It’s Execution.

One of the most impressive findings in the report is this: 

 

Strong-growth agencies report 4× the AI ROI of declining ones, though they use similar tools.  

 

This isn’t a technology gap. It’s an execution gap. High-performing agencies are not experimenting with AI at the edges. They are: 

  • Embedding AI into core workflows, not just tasks

  • Assigning clear ownership at leadership level 

  • Backing adoption with investment in training and process change 

 

Lower-performing agencies, by comparison, show similar levels of adoption on paper, but lack the structure to turn that into consistent commercial results. For ANZ agency leaders, this reframes the challenge. AI success is less about what you buy, and more about how you run your business.

The Relationship Myth: Strategy Isn’t Matching Operations 

There’s a clear contradiction in how recruitment agencies position themselves. 73% say human relationships are their competitive edge for 2026. Yet 64.7% are not using AI for CRM automation. The area which provides the highest value for an agency.  

 

There is an operational disconnect. If consultants are still spending time on admin, updating systems inconsistently, or manually managing pipelines, then AI isn’t freeing them to build higher-value client and candidate relationships. 

 

Agencies seeing results are embedding AI into repeatable, high-volume tasks, and automating CRM activity, so consultants can focus on conversion, influence, and consultative work.  

 

If relationships are your differentiator, your workflow actually needs to reflect it. 

Where AI Is Being Used in ANZ (and Where ROI Is Missed) 

Across Australia and New Zealand, AI adoption is strongest in job ad writing, candidate sourcing, CV screening, and interview scheduling. These tasks are easy to implement and deliver quick time savings. But they don’t fundamentally change how an agency performs. The commercially highest-impact use cases are still underutilised: 

  • Just 34% of agencies are using AI in CRM/ATS automation 

  • Adoption in analytics and reporting remains low.  

 

Small quicks wins are a good starting point, but they do not drive revenue growth. Until AI is embedded into systems that shape decision-making and business development, ROI will remain limited. 

Strong Market Conditions Are Masking Weak Foundations 

The ANZ recruitment market is currently providing a buffer. 

 

More agencies are reporting growth compared to markets like the UK, and demand remains relatively resilient, supported by increased job activity across sectors. The Australian Bureau of Statistics saw a rise in job vacancies from November 2025 to February 2026 by 2.7%.   

 

 But this is also masking a structural issue: 

  • 74.4% of ANZ agencies cite poor data quality or disconnected systems as their biggest AI blocker 

  • 25.6% are still at minimal AI training levels 

And critically:  

  • No ANZ agency without an AI champion reports any measurable ROI 

 

AI initiatives don’t work because of the tools, but because no-one is accountable for embedding them into how the business runs.  

What are high-performing ANZ agencies doing? 

Across the dataset, agencies seeing meaningful returns from AI share four consistent behaviours: 

  • Prioritising data quality 

  • Fully embedding AI and redesigning workflows, not just tasks 

  • Assigning a senior leader to be the AI champion within the business 

  • Increased investment in training to ensure teams are not only fully equipped with the tools but are adopting it into their own flows.  

 

These behaviours are also discussed in ‘Our Gen AI Transition’ report by Jobs and Skills Australia . The value of AI is determined by how well it is embedded into workflows, supported by skilled teams and adaptable processes. As adoption deepens, it will reshape roles and create new hybrid ways of working - making strong execution and continuous adaptation essential to achieving meaningful ROI. 

 

“The quality of adoption and implementation will be instrumental in achieving the benefits of labour-augmenting tools.” 

Where Does Your Agency Sit?

ANZ agencies fall into three groups: 

  1. Surface adopters: Using AI for ads and admin, with limited commercial impact 

  1. Constrained adopters: Aware of value, but held back by CRM usage, data quality, or lack of ownership 

  1. Embedded operators: AI integrated into core workflows, delivering measurable gains in productivity approach to improvement.  

 

Understanding where you sit is the first step because each stage requires a different approach to improvement.   

 

The agencies getting ahead in 2026 aren’t using more AI, they’re executing better.  

If you found this blog helpful, there’s more where that came from. 

Read the full AI in Recruitment 2026 Outlook to benchmark your agency and identify where to focus next. 
Access the full report