Organisations are investing in artificial intelligence for recruitment, but many are not using the full range of capabilities they have purchased. New research from iCIMS and Kyle & Co. finds that top-performing hiring teams are significantly more likely to put AI tools into practice than lower-performing teams.
The 2026 Talent Transformation Yearbook: AI Progress Report, based on a survey of 500 US HR and Talent Acquisition leaders and 1,000 US job seekers, found that organisations use only around half of the AI capabilities they have purchased. Despite this, 45% of HR leaders described their AI implementation as highly successful.
Top-Performing Hiring Teams Use More AI Capabilities
The research identified a clear difference between organisations reporting stronger hiring outcomes and those performing less well.
Top-performing teams, representing 37% of respondents, used an average of six out of seven AI hiring capabilities. Lower-performing teams, accounting for 34% of respondents, used an average of just 2.5.
The capabilities examined included resume screening and ranking, candidate chatbots, interview scheduling, AI-led assessments, AI-assisted writing, skills matching and agentic AI.
The gap was particularly noticeable in the adoption of agentic AI. Some 42% of top-performing teams had fully deployed agentic AI across multistep hiring workflows, compared with just 9% of lower-performing teams.
The report grouped organisations according to self-reported results across six hiring outcomes, including time to hire, quality of hire and new-hire retention. These findings show an association between broader AI adoption and stronger reported outcomes, rather than proving that AI use alone produces better hiring results.
AI Implementation Requires More Than Buying Technology
The research suggests that successful AI adoption depends on organisational readiness as much as access to technology.
Top-performing teams were more likely to have completed foundational implementation practices, including AI literacy training, data ownership arrangements, AI contract terms, manager enablement and employee redeployment planning.
Completion rates for these practices ranged from 51% to 62% among top-performing organisations, compared with 17% to 24% among lower-performing teams.
The findings highlight the importance of preparing HR teams and managers to use AI effectively. Without appropriate training, clear data responsibilities and defined operating practices, organisations may struggle to translate technology investments into improvements in recruitment.
Job Seekers Want Greater Transparency Around AI
The research also examined how candidates experience AI during recruitment.
Among job seekers surveyed, 44% said they had never encountered AI screening in 2026. Of those who noticed AI involvement, 45% described its effect as positive.
However, transparency remains a concern. Only 32% of candidates who believed AI had evaluated them said employers clearly disclosed its use. Additionally, just 42% expressed confidence that automated screening evaluated them fairly.
These findings suggest that employers need to consider the candidate experience alongside operational efficiency when introducing AI into recruitment. Clear communication about where AI is used and how human oversight is maintained can help candidates better understand the hiring process.
Moving from AI Investment to Effective Adoption
The findings point to a growing distinction between organisations that simply purchase AI tools and those that successfully integrate them into recruitment operations.
For HR and Talent Acquisition leaders, the challenge is to ensure that technology investments are supported by employee training, clear accountability, reliable data practices and appropriate management oversight.
As AI becomes more embedded in hiring workflows, organisations will need to evaluate not only which tools they have acquired, but also whether their teams are equipped to use them effectively and transparently.
Research source: iCIMS 2026 Talent Transformation Yearbook: AI Progress Report, developed with Kyle & Co.
