Executives have invested billions in AI, yet nearly half are seeing little if any return.
A recent PwC survey found that 42% of global CEOs saw no meaningful benefits from their AI investments. Within organizations that made AI tools available, Gallup reported that 67% of leaders use AI frequently. But only 52% of managers use it, and just 46% of individual contributors do. The technology isn't the problem. Your employees aren’t ready to learn it.
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The issue is what I call Receptive EQ: the capacity and willingness to absorb new information, see different perspectives and shift behavior. Without it, training programs fail. Coaching doesn’t land. Feedback gets ignored. And your AI investments sit idle.
Leaders need to view employee training through a new lens.
Why your employees aren't adopting AI
Most leaders assume that if they provide training, employees will learn. That’s not how human beings work. Four barriers prevent receptivity, and they have nothing to do with the quality of your training program.
Unclear objectives: Executives tell employees, “We need you to do more with less” or “Embrace AI.” But what does that mean? Without concrete actions and clear success metrics, employees disregard the message. They’re not being defiant. They can’t execute vague directives.
Cognitive overload: When people are managing external pressures — caring for an aging parent, managing a personal setback, or drowning in competing priorities — their capacity to absorb feedback disappears. They're unable to process new information, because their mental and emotional bandwidth is reduced.
Distrust: If an employee doesn’t trust their manager or the organization, they won’t absorb feedback. Instead of listening and considering how they can improve, they think, “There goes Jeffrey again. He never likes my ideas. He only listens to John.” Suspicion taints the feedback, closing the individual’s mind and preventing growth.
Identity protection: Sometimes people reject an idea because it contradicts how they see themselves. A highly skilled employee might refuse to use AI because they believe it’s unethical or produces inferior work. They don’t see the significant benefit of blending expertise with technological efficiency.
How leaders can drive adoption
More than half — 56% — of individual contributors aren’t using AI. To close that gap, the barriers to learning must come down. When leaders model the following behaviors, they create conditions where skeptics become more open, resistant employees become willing learners, and your entire organization becomes more adaptable to change.
Communicate with clarity. Tell employees exactly what you need, what success looks like, and why it matters to them personally. Compare these two messages: “We have to do more with less” versus “We need to prioritize what drives revenue and serves our clients. We will cut costs where we can, so we can preserve jobs and invest in our people. That means fewer meetings, less travel, and everyone getting upskilled in AI. By automating routine tasks, you can concentrate on work that matters.” Same objective. Completely different outcomes.
Lighten the cognitive load before coaching. If someone is overwhelmed, they can’t absorb new information. Help them identify which priorities can be deferred or delegated, so they have mental space to learn new skills. If life stressors are absorbing their attention, training can wait until short-term distractions have been resolved. For serious personal challenges, connect the employee to support services, such as your company’s Employee Assistance Program.
Build trust and psychological safety. Employees won’t absorb feedback from leaders they don’t trust. Your team needs to know it’s safe to ask questions, admit gaps, and struggle with new tools without fear of retaliation or judgment.
Address identity concerns directly. When someone resists a new tool because it conflicts with their self-concept, acknowledge their concerns. Help them see how the change actually enhances their value and expertise, rather than threatening it.
The power of trust: A real example
Years ago, when my grandfather passed away, I was working for Grant Williard at the software company I-Cubed. I was handling my responsibilities, but I was struggling emotionally and couldn’t take on new challenges that week. I explained to Grant, “I can manage my current objectives, but I can’t engage in new conversations or strategic discussions right now.”
He understood. He adjusted his expectations. We kept moving.
Why did that work? Because we’d built a trusted relationship. I could communicate my limits honestly without fear. Grant could coach me effectively because he knew the real barrier wasn’t my capability — it was my capacity. That trust made all the difference. When employees know their leaders see the whole person and will adjust accordingly, they become receptive. They’re willing to learn and grow.
That’s what happens when leaders understand their employees’ receptivity, and that’s what your AI training programs are missing.
The real skill gap
When you address receptivity — when you create conditions where people can absorb new information — adoption accelerates. Learning happens faster. Employees gain confidence. And your AI investments will deliver the returns you expected.
Here are the stakes: The World Economic Forum found that roughly 85% of employers plan to prioritize reskilling over the next five years, with tech-related skills being the most urgent need. The Conference Board reported the same urgent need.
“With skill requirements evolving faster than talent pipelines, organizations will need to look beyond recruiting and invest more aggressively in internal development, reskilling, and career mobility,” said Robin Erickson, PhD, Head of Human Capital Research, The Conference Board.
But unless organizations address the human conditions that determine whether people can actually learn, training programs will fail to have the necessary impact. Individual contributors need to feel safe, supported, and capable before they can absorb new skills.
The missing link to AI implementation isn’t more training. It’s better leadership: leaders who understand that receptivity determines readiness and readiness determines results. That’s the only way you close the gap between your AI investment and your actual returns.
The leadership development industry spends $380 billion annually on the assumption that everyone is equally coachable. They’re not. Receptive EQ, a framework developed by Donald Thompson and Bob Batchelor, PhD, tells leaders where to invest their time and energy. To learn more about your organization’s receptivity landscape and why it matters, read the white paper Receptive EQ: Why the Leadership Development Industry's Core Assumption Is Costing You Your Best People.
About the Author
Donald Thompson is Managing Director of the Workplace Options Center for Organizational Effectiveness, host of the High Octane Leadership podcast, and author of The Employee Engagement Handbook.