"But AI isn't just another disruption: it's a moment of reinvention. If your company is investing in AI but seeing uneven results, it may not just be a technology problem. While technology may still be evolving in some areas, a challenge also lies in adoption. In many organizations, that breakdown happens along the lines of hierarchy, trust, and communication, not just code or capability. This is HR's opportunity to lead the transformation."
"A recent BambooHR study shows a stark divide. While 77% of companies either encourage or don't restrict AI use, adoption varies dramatically across where people sit in the org chart. Leadership teams are eager and early adopters, yet enthusiasm plummets to only 17% of individual contributors. The report also found that 23% of individual contributors (ICs) do not disclose their AI use, compared to only 6% of VP and C-suite executives, indicating a more negative stigma associated with AI among ICs."
AI adoption is uneven across organizations, with leaders adopting eagerly while only 17% of individual contributors embrace AI. The difference reflects a trust gap rather than a skills gap: many ICs hide AI use and fear judgment, penalty, or replacement. Employees overestimate their ability to detect AI-generated content, with 70% unable to accurately distinguish AI outputs. Underrepresented groups, including women, use AI less due to heightened fear. Adoption failures often stem from hierarchy, trust, and communication breakdowns, not solely technical limitations. HR must lead by redesigning systems, policies, onboarding, reviews, and communication to enable equitable AI use.
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