AI in Recruitment 2026: Why only 6% of agencies are transforming

78% of agencies have AI but only 6% have embedded it as a core operating layer, landed as the defining data point for all three influencers.  

Ross Clennett admitted he expected the embedded figure to be low, "but not this low". Jim Stroud put it most plainly," it confirms what I see in the market. A lot of AI activity, not nearly as much AI transformation".

Rod Hore was the least surprised, framing it as a natural stage of maturity. 

For an SME-dominated industry, embedded AI is simply just beginning.

They all agree on what the gap means. Buying access to AI tools is easy. Changing how a business operates is hard. Stroud sees "more experimentation than redesign. Most agencies are using AI to write job ads, summarize resumes, draft outreach, and save time on admin” - the lowest-friction use cases. These are useful entry points, but they don't require agencies to rethink workflow, incentives, data quality, or leadership accountability. Adoption is not transformation. 

Ask all three where agencies are deploying AI, and the answer is the same: where it's easiest to see, not where it's most commercially powerful. 

70.4% of agencies use AI for job ad creation or optimisation, while only 25% use it for reporting and analytics. Stroud calls this the wrong end of the value chain. The real prize, he argues, is commercial intelligence: monitoring funding announcements, leadership changes, and market signals to identify hiring demand before a role is posted. 

That is the difference between AI as a productivity assistant and AI as a market intelligence layer.

Ross agrees the industry is stuck in admin mode, driven by quick wins rather than an “overarching strategy”. Rod frames it, similarly, "finding quick win automations is as far as many have progressed", but is careful to note this isn’t necessarily wrong. This is where transformation must start. The problem comes when agencies mistake the starting line for the finish line. 

When asked what's preventing full AI adoption, none of the three pointed to the technology. They all pointed inward. 

Ross is the most direct. The report's finding that 74.4% of agencies cite poor data and disconnected CRMs as a top blocker is, in his view,

an excuse and not the real reason. The real reason is a lack of deep thinking about an AI strategy and then constructing a realistic plan to execute."

Stroud agrees that the CRM problem is real, but frames it as a symptom rather than a cause. Dirty data, disconnected systems, and inconsistent consultant behaviour are the result of organisations that haven't done the hard work of redesigning their workflows.

AI didn't create these problems. It exposed them.

Rod points to a capability gap at the top:

Most recruitment agency leaders, particularly in smaller firms, are not equipped to plan and run the kind of project AI transformation requires - from concept through to measuring efficiency and ROI.

The technology is available. The strategic leadership to deploy it isn't. 

If there's one practical takeaway all three agree on, it's this: AI doesn't reward curiosity. It rewards disciplined implementation. That requires investment in people, not just platforms. 

Stroud highlights the report's most striking single statistic: agencies with minimal AI training reported strong ROI at 2.9%, while agencies with significant training reported strong ROI at 43.8%. A 15x gap.

That is the whole story in one number.

Tools without training, strategy, clean data, and accountability don't create an AI-enabled business. They create a scattered group of people using prompts. 

Ross identifies the structural fix as “an internal champion at C-suite level, paired with consistent desk-level training”. Without someone owning the agenda from the top, AI initiatives stall at the enthusiast stage. Rod reinforces this from a business advisory perspective. The agencies that will succeed are those whose leaders can translate AI ambition into a realistic plan, “embedding AI into the recruiter’s day”.  

Perhaps the sharpest point of agreement across all three: the gap between agencies that get AI right and those that don't is already forming, and it will be decisive. 

Ross is characteristically blunt: "A small percentage of agencies will be outstripping the market by a factor of 4 or 5 within a couple of years" because of their effective understanding and implementation of AI. The rest will be competing for the remainder. 

Stroud frames it as a structural warning:

AI will widen the gap between firms with clean data, trained teams, strong leadership, and redesigned workflows, and firms that are just adding tools to old habits. The agencies that win won't be the ones saying we use AI. They'll be the ones saying our business now sees the market differently because of AI.

Rod draws a parallel to offshore outsourcing - an innovation that many agencies treated as a simple cost-saving measure, missing the transformational opportunity entirely. The same pattern, he suggests, is playing out with AI.

AI is transformational, but most people think of it as a simple improvement to what is already in place.

Those that treat it as a chance to rebuild how the organisation works will be in a different category altogether - and winning.  

Three voices, one consistent theme: having AI is not the same as using it well. Whether it's Ross Clennett's call for a genuine C-suite strategy, Rod Hore's focus on targeted operational wins, or Jim Stroud's warning that the training gap will define winners and losers, the message is clear. The agencies that pull ahead won't be the ones that bought the tools first. They'll be the ones that build the discipline to use them properly. 

Winning agencies should: 

• Stop treating AI as a tool and treat it as an operating model.  
•  Aren’t the ones who adopt it first, but the ones who build the strategy, data discipline, and training culture to make it work.  
• A gap between leaders and those falling behind is already forming. It will be decisive within 2-3 years.  

Read the full AI in Recruitment 2026 Outlook from Access Recruitment to see the complete data behind these reactions. 

Rod Hore

Rod Hore is the founder of HHMC Global and a specialist advisor to owners and leaders in the staffing and recruitment industry. For more than 25 years, he has advised agencies on strategy, growth, valuation, leadership and equity transactions. His interest in AI is practical: how recruitment leaders move beyond tools and embed AI into workflow, accountability, recruiter productivity and commercial performance. 

 Rod Hore | LinkedIn 

Jim Stroud

Jim Stroud is a Career Intelligence Analyst, labor market strategist, and Head of Market Strategy & Industry Engagement at ProvenBase. With more than two decades of experience in recruiting, sourcing, and labor market analysis, he helps organizations and job seekers make sense of a rapidly evolving employment landscape. He is also the publisher of The Recruiting Life newsletter (focused on labor trends and the future of work), Career Intelligence Weekly (which tracks the hidden job market), and host of The Jim Stroud Podcast (commentary on the world of work). He is also an international conference speaker, job search workshop facilitator for college students and author of multiple books on career strategy and recruiting. Connect with Jim via LinkedIn. 

Ross Clennett  

Ross Clennett is one of the most respected voices in the Australian recruitment industry. A former recruiter and leader of recruiters for 14 years, Ross has been writing about recruitment and recruitment practises for nearly three decades. Since 2007, Ross has published over 900 s weekly blog posts dissecting the state of recruitment, the labor market, and the recruitment industry. In 2022, Ross was awarded the CEO's Outstanding Contribution award by WEC Vice President Charles Cameron, the CEO of the RCSA. Ross regularly speaks at conferences about the impact of AI on the future of the staffing sector. Ross lives in Melbourne, Australia.  

Ross Clennett, FRCSA | LinkedIn