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Navigating the Human Factor: Addressing Employee Resistance to AI Adoption
Navigating the Human Factor: Addressing Employee Resistance to AI Adoption
Who it's for:
  • Managers and Executives

Navigating the Human Factor: Addressing Employee Resistance to AI Adoption

Release Date: 06/25/2025

In boardrooms around the world, leaders are hailing artificial intelligence (AI) as a game-changer for efficiency and innovation. Many organizations have realized the benefits of AI and are investing heavily in AI technologies. However, the technical deployment of AI systems is only part of the challenge. A growing, under-addressed problem is that employees often hesitate or refuse to use these AI tools in their daily work.

Studies show that up to 70% of change programs fail, often because of employee pushback or insufficient management support. AI adoption has proven to be no exception. Leadership can flawlessly implement an advanced AI system, but if employees feel anxious, distrustful, or unprepared, adoption will stall. Ignoring this human factor can lead to unused systems, wasted investment, and derailed projects. 

This publication explores the psychological and cultural roots of employee resistance to AI. It shows how AI adoption is as much about change management as it is about technology. Leaders will find concrete strategies for productive engagement, helping them foster a workplace culture that leverages AI to enhance human potential.

Key Takeaways:
  • Why employees push back on AI adoption
  • How society’s traditional mental models of technology adoption have not kept pace with AI
  • The differences between management and employee perspectives of AI
  • Strategies to overcome AI resistance and foster adoption, including:
    • Addressing employees’ AI fears
    • Building trust through responsible AI use
    • Investing in comprehensive AI training
    • Engaging employees as AI adoption partners
    • Expressing a clear vision for how AI will benefit the organization and its employees
    • Leading by example
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