Stop Managing AI From 30,000 Feet

In the C-suite, the air is thin. Decisions become conceptual, feedback is filtered, and the systems around you are designed to shield you from problems. 

As an organizational psychologist and executive coach, I call this phenomenon “altitude sickness”—a leadership blind spot that warps your perception just when clarity is most critical. Power doesn’t just change what others see in you; it changes how you see everyone else. 

Nowhere is this gap more dangerous than in our rush to adopt AI. 

From the top, AI adoption feels existential. You’re consuming research and envisioning a future that is faster, more profitable, and more innovative. A fall 2023 Deloitte survey found that 79 percent of leaders believe AI will lead to major organizational transformation within three years. AI investments are massive.  

Meanwhile, employees are operating in a different reality. They’re working under the shadow of layoffs and near-daily headlines about AI-driven headcount reductions. Research from my firm, Fractional Insights, confirms this: We found one in three U.S. workers report “AI angst,” the fear that AI will eliminate their role or make their skills obsolete. 

If you can’t imagine why your team feels this way, you may have altitude sickness. 

The real problem isn’t AI—it’s trust 

This disconnect isn’t a technical problem; it’s a psychological one. The success of your AI strategy hinges on one thing: trust. Our research found that workers in low-transparency organizations were up to 70 percent more likely to experience high AI angst. 

The data shows a massive trust gap. Qualtrics reveals that while about 73 percent of executives trust their leaders to implement AI effectively, only 53 percent of employees feel the same way. 

This isn’t just an emotional divide; it’s a performance drag. Data shows that 31 percent of employees fail to embrace AI, risking the failure of your entire transformation. 

Overcome altitude sickness with structural empathy 

The solution isn’t just for leaders to be more empathetic. It’s to build better systems. You must intentionally design mechanisms that reconnect you to the ground-level reality. This approach is called structural empathy, and here’s how to embed it. 

Reconnect with ground-level reality. Stop prescreening questions for your “ask me anything” forums and accept anonymous submissions if needed. Conduct listening tours facilitated by neutral third parties. Shadow a frontline team for a day. Take support calls. Use reverse mentoring to learn from your junior colleagues. These aren’t symbolic gestures; they restore the unfiltered signal you’ve lost from altitude. The goal is simple: Experience what your teams experience daily. 

Align AI strategy with career pathways. Stop talking about replacement and start talking about augmentation. Enable people managers to show employees exactly how AI will enhance their roles and provide the upskilling to get them there. Trust grows when people can see themselves in the future you’re designing. 

Measure what matters: trust. Track employee sentiment and trust as a core KPI for your AI transformation. If you ignore the human experience, your adoption will stall, no matter how sophisticated your technology. 

Communicate uncertainty with confidence. Many leaders hesitate to discuss AI’s future because they don’t have all the answers. The technology is advancing too quickly, and organizations are too complex to make guarantees. But pretending you have clarity or promising job security you can’t deliver erodes trust faster than admitting uncertainty. 

Here’s what you can do: Be honest that you don’t know exactly what’s coming, but commit to regular, transparent updates. Invite employees into the conversation. Invest in upskilling so that whatever the future holds, your people are prepared to thrive in it. Uncertainty doesn’t undermine trust. Dishonesty does. 

Strategies fail not because they’re bad ideas, but because they ignore the reality of others’ experiences. The view from the top might seem clearer, but the real insights are always found by getting curious at the ground level. 

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