Too many organizations are deploying AI without considering how it will affect their employees — their workload, their stress levels, or their ability to adapt. AI is more than just another technology update; it is transforming entire industries. But without a human-centered AI adoption strategy, organizations won’t see any benefits. Instead, they risk increased anxiety, change resistance and stalled implementation.
A study published in Frontiers of Public Health found that in AI-forward workplaces, employees face higher stress, more intense work, job insecurity, reduced autonomy and blurred work-life boundaries. However, researchers also identified significant benefits for employees using AI, such as increased efficiency, flexibility, and professional development.
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The determining factor? A workplace that promotes a growth mindset, employee well-being, and psychological safety. The message is clear: AI transformation increases pressure on workers, but a healthy culture is the safety valve.
One incomplete AI strategy
Recently I met with several leaders at a company that was having challenges with its AI rollout. The chief information officer, the engineering manager, and the head of marketing were there, looking for feedback. But one person was missing. I asked, “When you were planning your AI strategy, was someone from HR in the room with you?” The answer: No.
Their expert on their people and culture was absent, left out of the AI conversation.
Like most companies, they had built an AI strategy around the technology. Once the decisions were made about the platform and the path to adoption, they started thinking about how they were going to get employees on board. But because they didn't involve people and culture in the strategy, they missed critical insights about how AI would affect their workforce.
The proven risk to mental health
According to the TELUS Health Mental Health Index, which surveys roughly 19,000 workers globally, only 17% of workers believe AI will reduce their stress. And that small, optimistic group scored markedly higher on mental health than the worried majority. Read the inverse: for most of your workforce, AI is a source of anxiety.
A Pew Research Center survey found that more than half of U.S. workers are worried about the impact of AI, with 32% believing AI will lead to fewer career opportunities for them personally. In addition, 63% of U.S. workers believe AI will decrease overall job availability. Even though projections from Goldman Sachs to the World Economic Forum show that far more jobs will be created by AI than will be lost, your employees are worried about their jobs.
Training builds confidence and lowers resistance
Workers’ worries, fears and distrust are creating resistance, feelings that are amplified if they don’t believe that AI will help them personally. Unless employees are receptive to learning, organizations won’t see the cost savings and productivity gains that executives are counting on.
So, how do you break down resistance and help people be more receptive? Reassure employees by explaining how mastering AI can help them become more valuable to the company. Provide the necessary training to help them succeed in their current role. Often, those same skills will help them throughout their career.
The more people learn, the more capable they become, the more they will feel in control of their situation. Their engagement, resilience and receptivity will also climb. Receptive employees are willing to experiment with AI, provide feedback and help refine how the tools are being used.
Organizational support is crucial
Along with providing adequate training, leaders must communicate clearly and consistently. Explain why AI is being implemented, how it will affect employees and what steps will be taken to support them through the transition. Detail your plan for ethical safeguards, training opportunities and job impacts.
Check in often to see how your team is coping. Ask them how they are feeling, what resources they need and what their challenges are. Use their feedback to refine your AI process. For employees who are struggling to manage their anxiety, share information about the company’s employee assistance program (EAP).
Build trust with psychological safety
The third piece is psychological safety, because clear communication should flow both ways. Organizations must include human oversight in their adoption strategy, and employees need to feel safe speaking up when they have concerns.
When AI scales faster than an organization's capacity to use it with judgment, mistakes happen. Hallucinations and other AI errors can undermine workplace trust — in the tools workers are being urged to adopt and the leaders who are championing them.
Consider what happens when organizations don't have proper safeguards:
· An Air Canada chatbot invented a nonexistent bereavement-refund policy. The airline was legally compelled to pay the refunds that its AI bot promised.
· In April 2026, Sullivan & Cromwell, one of Wall Street's most prestigious firms, apologized to a federal bankruptcy judge for a filing riddled with AI errors.
· Deloitte Australia delivered a report to the Australian government that included AI hallucinations and nonexistent academic references. A few months later, a Deloitte Canada report was found to also contain citations from fictional academic papers.
These weren't technology failures. They were culture failures — no one felt safe enough to challenge the AI's output. When employees trust their leaders and the organization, they will identify issues before they turn into expensive mistakes. These high-profile incidents demonstrate why psychological safety is an operational requirement.
Culture decides how you navigate AI adoption
When AI adoption increases workplace stress, a strong culture — built on psychological safety, clear communication and employee well-being — releases that pressure. It gives employees a voice. It builds trust. It creates space for concerns to be addressed before they become crises.
Organizations with strong cultures adopt AI faster because employees are engaged in the process, not resistant to it. They're willing to learn, willing to experiment, and willing to speak up when something isn't working. Organizations with weak cultures resist AI because employees fear job loss and don't trust leadership to handle the transition responsibly.
The leaders who protect culture during AI adoption will have organizations that thrive through the transformation. The ones who treat AI as a technology upgrade — without considering the human impact — will struggle with resistance, mistakes, and slower adoption.
Culture decides how your team shows up to work every day, how they implement change, and how they drive performance. Together, culture and performance allow you to create enduring business results.
Look for my upcoming white paper, “Quiet Compliance and the Readiness Gap: The Impact of AI on Culture and Performance.” It frames the conversation for boards and C-suite executives who need to understand the human stakes of AI adoption. The Adoption Gap — the distance between how fast organizations deploy AI and how ready their people are to use it responsibly — is the defining leadership challenge of this decade.
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.