HR Teams Stuck at Task-Level AI as Agentic Adoption Stalls, Culture Amp Finds
The News
A Culture Amp survey of 264 HR professionals published July 22 found that 86% use AI for content creation, 83% for brainstorming, and 81% for information synthesis — but fewer than 4 in 10 have moved into any form of AI automation, and only 34% use agentic workflows. Most organisations are using AI "as a smart assistant rather than as an autonomous agent operating within bounded authority," Culture Amp said. Notably, 54% of C-suite leaders are already using AI as an agent, compared to 37% of C-suite HR leaders and 16% of individual contributors. The company warned that organisations pushing past initial hesitation are seeing transformation rates two to three times higher than peers.
Why It Matters
The pattern is familiar: HR teams adopt AI for the easy stuff — drafting job descriptions, summarising notes, generating email templates — then stall. The gap between using AI as a writing assistant and using it to actually screen, schedule, or triage candidates is where the competitive advantage sits, and most TA functions haven't crossed it. The 16% individual-contributor figure is the telling one: leaders may be experimenting with agents, but they're not pushing adoption down through their teams. That means the ROI case stays weak because the people who could benefit most never get their hands on the capability.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your HRIS or HR tech lead: Ask which AI features in your current stack are actually being used by recruiters day-to-day versus switched on but ignored. The answer is usually humbling. Your head of talent acquisition: Discuss whether your team has a defined use case for agentic AI in screening or scheduling, or whether you're still in the "smart assistant" phase with no plan to move beyond it.
Inspect
What to take a closer look at
Pull usage data from your ATS or AI-enabled recruiting tools for the past 90 days. Compare the number of licensed seats against active AI feature usage. If adoption is below 30% on any AI capability you're paying for, that's either a training gap or a product-fit problem — find out which.
Reflect
What to think about more deeply
If your recruiters are using AI to write faster emails but not to make better hiring decisions, have you actually adopted AI — or just given them a slightly fancier typewriter?