Recruitment has changed quickly over the past few years, but 2026 looks set to accelerate that change even further.
Bullhorn’s latest GRID 2026 Industry Trends Report, based on responses from nearly 2,300 recruitment professionals globally, paints a picture of an industry becoming faster, more technology-enabled and increasingly competitive.
Despite sluggish labour markets and economic uncertainty throughout 2025, 56% of recruitment firms reported revenue growth, up from 40% the previous year. A further 13% grew by more than 25%.
But behind those numbers is an important shift.
The recruitment businesses performing best aren’t necessarily working longer or simply processing more applications. They are finding ways to identify the right people faster, automate repetitive work and give recruiters more time to do what technology cannot: build genuine relationships with people.
For employers, that is also changing what good recruitment looks like.
Artificial intelligence was one of the clearest themes throughout Bullhorn’s research.
Recruitment firms using AI at some point in their recruitment process were reported to be 3.5 to 4.5 times more likely to have grown revenue during 2025.
The gap between businesses simply experimenting with AI and those embedding it into their workflow is also widening. Last year, 52% of firms were still primarily experimenting with basic generative AI. That figure has now fallen to 29%, while 30% have moved towards some form of agentic AI.
Importantly, the value isn't coming from using AI for the sake of it.
The biggest gains are appearing where technology removes administrative friction from recruitment.
According to the report:
51% of recruitment leaders and 44% of recruiters say AI is helping them identify better candidates faster.
Recruiters using AI for sourcing and screening report reducing the time spent on these activities by between 26% and 75%.
Most recruitment leaders tracking AI-related KPIs have recorded improvements of between 11% and 25%, with some seeing improvements of up to 50%.
Firms experiencing tangible improvements from AI-supported screening and recruiter ramp-up were as much as six times more likely to have grown revenue.
For Woods & Co, this is where technology makes the most sense.
The objective isn't to remove recruiters from the process. It's to remove the work that prevents recruiters from spending enough time with clients and candidates.
One of the most interesting findings from the report is that recruiters themselves rank having more time to connect with clients and candidates as one of AI's greatest productivity benefits.
That's an important distinction.
Recruitment isn't just a database exercise.
Understanding why someone might leave their current role, what they want next, whether they will fit within a particular environment and what will ultimately make them accept an offer still requires conversation.
The same applies to employers.
A job description can tell us what somebody will be doing. It rarely tells the complete story about the team, leadership, challenges, culture or what will make the opportunity compelling to the right person.
Technology can make the process faster.
Relationships are still what make the process better.
The expectation around speed is also changing.
Among recruitment firms that grew revenue by more than 25%, 56% reported an average time-to-place of less than 10 days, while 22% averaged three days or less.
By comparison, 34% of firms that experienced declining revenue had average placement times between 10 and 19 days.
That doesn't mean every vacancy should be filled within ten days.
It does show that unnecessary delays increasingly carry a cost.
Employers are often competing for the same candidates. Lengthy gaps between interviews, unclear decision-making and slow offer processes create opportunities for another business to move first.
Bullhorn also found that two to three out of every five candidates receiving an offer are still turning it down, with a better competing offer being the leading reason.
In a tight market, getting somebody through the recruitment process efficiently is therefore no longer just an administrative benefit.
It can determine whether you secure them at all.
Automation can sometimes sound impersonal, but when implemented well it can actually improve candidate experience.
Bullhorn found recruiters believe one of AI's biggest benefits for candidates is moving them through the recruitment process faster.
The second is something extremely simple: candidates receiving a response when they apply.
Anyone who has applied for a role and heard nothing understands why this matters.
Technology should make communication easier, but it shouldn't replace meaningful interaction.
Automated acknowledgement, reminders and workflow management can remove the administrative gaps. Recruiters can then spend more time providing context, feedback and advice when it matters.
Another major finding is that isolated AI tools are producing less value than technology embedded throughout the recruitment workflow.
Among firms that grew revenue by more than 25%, 78% were using AI embedded within their ATS, compared with 51% of firms whose revenue declined by more than 10%.
Businesses with AI embedded throughout their workflow were also more than twice as likely to report fill rates above 75%.
Yet the industry is still relatively early in this transition.
Only 10% of firms currently report having AI embedded throughout their workflow, while 54% have automation in place for candidate search. Fewer than half are using AI for any individual recruitment function.
For recruitment businesses, the next stage isn't simply adding another AI platform.
It is making sure ATS data, automation, candidate search, communication and recruiter workflows work together.
The report also highlights one of the biggest challenges associated with AI: it is only as useful as the information supporting it.
Data quality and security remain major barriers to adoption, and 20% of recruitment businesses say they still lack a clear AI implementation strategy.
While 71% of recruitment leaders believe they are prepared to lead their business through AI transformation, confidence varies significantly according to performance. Among the highest-growth firms, 81% of leaders felt prepared, compared with just 46% at the weakest-performing businesses.
For recruitment agencies, that means technology strategy increasingly needs to sit alongside recruitment strategy.
Clean candidate information, secure systems, sensible policies and clear processes matter just as much as choosing the technology itself.
AI isn't the only response to a challenging recruitment market.
Bullhorn found successful firms are increasingly narrowing their focus towards sectors and skill sets where they have genuine expertise.
Rather than attempting to recruit everything for everyone, firms are becoming more specialised and building deeper knowledge within particular markets.
That's particularly relevant when talent pools remain tight.
A recruiter who understands the sector, knows where relevant candidates are likely to be found and already has relationships within that market can often move significantly faster than somebody starting from scratch.
Database management is part of that advantage too.
Bullhorn found 72% of firms that regularly submit multiple candidates for positions achieved average time-to-place below 20 days. Among businesses with a structured redeployment strategy, that increased to 85%.
A well-managed talent network continues to matter.
The role of recruitment agencies is also broadening.
Among the highest-performing firms, 40% are expanding into candidate reskilling, while 44% are expanding consulting and advisory services.
Clients increasingly want more than access to candidates.
They want information about:
remuneration
candidate availability
market conditions
attraction strategies
workforce planning
retention
hiring processes
skill shortages.
That's pushing recruitment towards a more advisory model.
Sometimes the answer isn't simply finding another person. It might involve reconsidering the role, changing the salary, identifying transferable skills or developing capability already sitting within the organisation.
Expectations for the broader economy remain relatively cautious.
Only 45% of firms surveyed expect economic conditions to improve during 2026, compared with 73% the previous year. Another 40% expect conditions to remain broadly unchanged.
At the same time, employers continue to face the difficult combination of lower overall job volumes and tight talent pools.
That environment makes recruitment more competitive, not less.
The businesses likely to perform best will be those that combine technology, speed, market knowledge and relationships.
At Woods & Co, that's how we see the future of recruitment too.
AI can help us search more intelligently, automate repetitive processes and respond faster.
But ultimately, recruitment still comes down to understanding people.
And that isn't changing anytime soon.
Looking to hire?
Speak with the Woods & Co team about your next appointment at info@woodsco.com.au