AI adoption isn’t just a technology challenge—it’s a human one. Employees may feel anxious about how AI will affect their jobs, skills, and future, and that uncertainty can make people less willing to experiment. Leaders can help by acknowledging those concerns, encouraging curiosity, creating safe opportunities to experiment, and reinforcing progress. Over time, small successful experiences can transform anxiety into curiosity, action, and confidence.

 

Frequently Asked Questions

Employees may worry about how AI will affect their jobs, responsibilities, skills, and future career prospects. These concerns are often driven by uncertainty rather than resistance to technology itself.

When people can’t predict what will happen next—especially when the stakes feel high—the brain’s threat-detection systems can become more active. This can make people more cautious and less open to unfamiliar changes.

No. Resistance may be a natural response to uncertainty. Employees may be trying to protect themselves from perceived risks when they don’t yet understand how AI will affect their work.

Leaders can acknowledge legitimate concerns, encourage curiosity instead of forcing adoption, provide opportunities for low-risk experimentation, and reinforce progress rather than expecting perfection.

Not necessarily. Confidence often develops through action. Small, successful experiences with AI can give employees evidence that they can use the technology effectively, gradually replacing uncertainty with confidence.

Start with small, low-risk experiments such as summarizing documents, brainstorming ideas, analyzing information, or improving drafts. These experiences allow employees to learn what AI can—and cannot—do without overwhelming them.

Instead of asking, “How do we convince people to use AI?” leaders can ask, “What could this technology make easier?” This shifts the conversation from persuasion and fear toward curiosity and practical exploration.

During conversations with clients over the past year, I’ve noticed something interesting about artificial intelligence. While organizations are understandably focused on what AI can do, many of their employees (and managers) are focused on a very different question:

What is AI going to do to me?

Will my job change? Will skills I’ve spent years developing still be valuable? Will I be expected to learn entirely new ways of working? And, perhaps most unsettling of all, could this technology eventually make some or all of what I do unnecessary?

These aren’t irrational questions. In fact, to the person asking them to him or herself, they are existential. They also help explain why simply telling people about the benefits of AI isn’t necessarily going to make them more comfortable using it.

I have spent nearly three decades helping organizations and their leaders navigate change. One thing neuroscience and psychology have taught me is that our brains aren’t particularly fond of uncertainty.

When we can’t reliably predict what’s going to happen next—particularly when the stakes feel high—our threat-detection systems can become more active. The sympathetic nervous system may kick into gear, and our brains become more vigilant. We pay greater attention to potential threats, become more cautious about unfamiliar choices, and frequently default to beliefs and behavior patterns that have served us well in the past. Ironically, we go into lockdown mode right when we most need to be curious, creative, and open to new possibilities.

Viewed from a higher vantage point, employee resistance to AI is not necessarily resistance to technology at all. It may simply be our brains putting our feet on the metaphorical brakes so we don’t drive off a cliff.

AI adoption journey from anxiety to curiosity, action, and confidence.

So how do leaders help people release those brakes?

Anxiety → Curiosity → Action → Confidence

The order matters.

Too often, leaders assume people need to feel confident before they try something new. In reality, confidence is usually not the prerequisite for action. It’s often the result of previous actions—sometimes very small ones—that turned out well and became evidence that we can be successful again in the future.

Think about almost anything you’ve become good at during your life. You probably weren’t confident the first time you tried it. But at some point, you acted despite your uncertainty and tried anyway. Confidence developed because you tried something, survived the experience, learned from it, incrementally got better at it (while navigating occasional setbacks), until it became second nature.

My experience tells me that AI adoption will progress much the same way.

This suggests four things that leaders can do right now:

1. Acknowledge the anxiety. Don’t dismiss legitimate concerns or bury them beneath enthusiastic messaging about productivity. People are far more likely to explore change when they believe their concerns have actually been heard.

2. Replace persuasion with curiosity. Instead of asking, “How do we convince people to use AI?” try asking, “What could this technology make easier?” Curiosity shifts attention away from defending the status quo and toward exploring possibilities.

3. Make experimentation safe and small. Give your team members time and opportunities to try AI on low-risk tasks. Summarize a document. Brainstorm alternatives. Analyze information. Improve a first draft. Small experiments allow the brain to update its predictions about what AI actually means.

4. Reinforce progress, not perfection. Talk about what people are learning. Share small wins. Encourage colleagues to show one another what’s working and co-create best practices. Every successful experience provides additional evidence that says, I can do this.

Over time, those experiences begin replacing anxiety with something far more useful: confidence.

Organizations are going to invest enormous amounts of money in AI capabilities over the next several years. But technological capability alone won’t determine which investments succeed. Human adaptability will.

Human adaptability also depends on maintaining the trust, connection, and psychological safety that help people navigate change. It depends on maintaining human connection in the age of AI.

Our work at Legacy increasingly involves helping leaders create the psychological conditions that allow people to navigate uncertainty, experiment safely and build confidence through experience. As AI continues changing how work gets done, that capability will only become more important.

Your goal shouldn’t be to convince people not to be anxious about AI. Some anxiety is both understandable and, if we’re being honest, appropriate.

The better goal is to create an environment that helps your people become curious enough to take those first small steps. Confidence has a remarkable tendency to catch up.

 

Increasing Human Effectiveness gives employees neuroscience-based tools to face AI-driven change with confidence instead of fear, resistance or burnout call to action on the training.