68% of HR leaders fear AI is turning candidates into numbers — and new research says the fear is warranted
The News
A new report from The Talent Labs and Uplifting People, titled The Human Edge in the Age of AI, examined how five large organisations — BMS Group, BT Group, Coca-Cola Europacific Partners, Deloitte, and Kantar — are integrating AI into their people functions. The headline finding: 68% of HR leaders said the biggest risk of over-relying on AI is "making candidates feel like numbers." Only 21% cited unintentional bias as their primary concern, challenging the assumption that bias is the dominant anxiety in AI-driven hiring.
The report found that the organisations using AI most effectively treat human connection not as a trade-off but as something that must be "actively protected." One finding that should focus TA leaders: 74% of HR leaders said the manager-leadership connection is the most important activity for integrating new hires — yet organisations continue to spend disproportionately on AI onboarding platforms rather than manager readiness. The report's authors noted that "not one contributor frames AI and human connection as a trade-off. They all treat the human moments as something that must be actively protected, not survive by accident."
Why It Matters
This report matters because it reframes the AI-in-hiring conversation from compliance (auditing for bias, documenting model decisions) to experience (designing for human connection). Both matter, but TA leaders who focus exclusively on the former will pass audits and still lose candidates. The report's five case studies suggest that the organisations getting AI right are those that design the candidate experience first and select tools second — the opposite of the typical procurement sequence.
The pre-boarding finding is especially actionable. Most organisations use the gap between offer acceptance and day one to push paperwork. The report argues this is precisely the window when candidates are most anxious and most impressionable — and where human contact creates disproportionate loyalty. AI should handle the forms; humans should handle the welcome.
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 head of candidate experience: Map every AI touchpoint in your current hiring process. For each one, ask: what is the candidate feeling at this moment, and is AI making it better or worse? The answer may vary by role level — senior hires may value speed; early-career candidates may value guidance.
Your onboarding lead: The pre-boarding window is the report's sharpest finding. What happens between offer acceptance and day one right now? If it is exclusively admin, you have an experience gap that no amount of AI onboarding spend will close.
Inspect
What to take a closer look at
Conduct a "silent candidate" walkthrough of your own hiring process. Apply for a role (or have a trusted external partner do it) and document every interaction. Note specifically where a human communicates with you and where only a system does. If the first three interactions are all automated, 68% of your HR colleagues would say that is a problem.
Reflect
What to think about more deeply
If your candidate Net Promoter Score is steady but your offer acceptance rate is slipping, is it possible that candidates are satisfied with your process but unconvinced by your humanity?