October 2, 2026, (Inside AI) — A new survey of over 100 chief human resources officers and heads of talent reveals a stark confidence gap: only 25% believe their organizations' leaders, up to the C-suite, can effectively lead in an AI-driven world. The study, conducted by Potential Project, also found that just 32% feel their leaders can sustain performance at the level required for today's complex environment.
The findings, released this week, highlight a critical bottleneck in AI adoption: leadership mindsets, not technical skills. As AI accelerates business transformation, executives say the biggest constraint on performance is not skill or technical knowledge but inner qualities—the mindsets that determine how leaders respond to change and pressure.
One executive at a large technology company said, "The question isn't strategy—it's how leaders stay present in the noise." Another pharmaceutical executive shared, "The mindset of welcoming challenge is what will matter most." These sentiments underscore a growing recognition that traditional leadership playbooks are insufficient for an era defined by rapid, unpredictable change.
According to Deloitte's 2026 Global Human Capital Trends, seven in 10 business leaders say their primary competitive strategy over the next three years is to be fast and nimble. This shift demands a new approach: adapting quickly, responding under pressure, and thinking creatively. But many leaders remain stuck in old patterns.
Potential Project's research identifies three mindset shifts as paramount. First, moving from certainty to clarity: instead of chasing clear answers, leaders should cultivate a clear mind. A chief people officer at a global technology company observed that too many leaders are "burrowing," adding, "They are so overwhelmed that they are just putting their heads down, doing what they have always done, and hoping they will somehow get by." A clarity mindset helps leaders see what matters most and act with precision.
Second, shifting from expertise to exploration. As AI reduces the competitive advantage of deep expertise, leaders must embrace curiosity and critical thinking. One global financial services company, grappling with pressure to create tailored customer experiences, found that leaders' belief that "risk equals reprimand" hindered experimentation. By adopting a mindset of curiosity, they began asking bigger questions and leaning into smart risk-taking.
Third, moving from emotional control to emotional insight. Potential Project's research shows only 12% of leaders rate themselves as highly skilled at navigating emotions effectively, and just 10% of employees agree. Yet emotions signal critical organizational dynamics like resistance or disengagement. One professional services client, facing anxiety about AI-related job loss, saw a senior executive open a town hall for direct conversations. Even without providing total clarity, he acknowledged the group's anxiety directly, building a sense of community.
These findings align with broader industry trends. As AI reshapes work, leaders are operating in increasingly emotional environments marked by uncertainty and anxiety. The ability to navigate these dynamics is becoming a core leadership competency. Potential Project recommends four practical actions: pause, perceive, pivot, and practice. These steps help leaders notice automatic reactions, understand underlying emotions, experiment with new responses, and reinforce new patterns over time.
The survey's results are a wake-up call for organizations betting on AI to drive growth. Without addressing leadership mindsets, even the most sophisticated AI strategies may falter. As one executive noted, the question isn't strategy—it's how leaders stay present in the noise. That presence starts with inner work.
