BambooHR: Workers Lose 20 Days a Year Fixing AI Output — and 67% of HR Would Let AI Interview Alone
The News
Workers spend the equivalent of 47 work days a year using AI, but roughly 20 of those days are lost to troubleshooting errors and prompt iteration rather than productive output, according to BambooHR's Redesigning Work: AI's Performance Review, a survey of 1,608 full-time US workers including 520 HR professionals. Despite the productivity drain, 65% of employees feel confident and enthusiastic about AI at work. In hiring, the trust gap is stark: 67% of HR professionals said they would trust AI to conduct a candidate interview on its own, compared with 34% of employees. Yet 80% of HR professionals admitted to finding bias problems in the AI tools they use for hiring, including 33% who had observed demographic bias specifically. Meanwhile, 35% of workers said knowledge transfer at their organisation now runs primarily through AI rather than people, and 54% of organisations lack a documented AI usage policy.
Why It Matters
The two findings TA leaders should fixate on are not the productivity drain — that is a workplace efficiency story. The hiring-specific data is the alarm bell. Two-thirds of HR professionals would let AI run an interview unattended, while four in five of the same group have personally observed bias in those same tools. That is not a technology problem; it is a governance problem. The BambooHR data also surfaces a quieter risk: 59% of workers use personal AI accounts for work tasks, and 71% of those have entered proprietary company information into tools their employer cannot see. For TA teams handling candidate data, that is a data-protection exposure hiding in plain sight.
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 recruiting operations: review whether any of your hiring managers or recruiters are using personal AI tools (ChatGPT, Claude, etc.) to draft interview notes, screen CVs, or summarise candidate data. If so, you have an undocumented data-processing chain. Your head of HR technology: ask whether your AI interview tools have been independently audited for demographic bias — not by the vendor, but by a third party.
Inspect
What to take a closer look at
Survey your TA team on which AI tools they use for hiring tasks and whether they have entered candidate data into personal accounts. If 59% of the general workforce blends personal and company AI use, your recruiters are likely no different. Cross-reference your AI usage policy: if it does not explicitly prohibit entering candidate PII into non-approved tools, the policy has a gap that the ICO or a GDPR regulator would flag immediately.
Reflect
What to think about more deeply
If 80% of HR professionals have found bias in their AI hiring tools and 67% still want to let those tools run interviews alone, what exactly is the approval process protecting?