This post is co-authored by Tony Nguyen, Ph.D., and Giang Hoang, Ph.D.<\/p>\n
Not long ago, artificial intelligence<\/a> (AI) in the workplace seemed like science fiction. Today, it’s prevalent across industries\u2014helping doctors read scans, recommending resumes to HR teams, or suggesting product names to marketers. While much has been said about AI’s efficiency, a critical aspect is often overlooked: the emotional experience of working alongside intelligent machines.<\/p>\n Behind the headlines and hype, workers are navigating a complex mix of emotions\u2014curiosity, anxiety<\/a>, awe<\/a>, and sometimes resentment. These emotions significantly shape how we engage with our work, perceive ourselves, and relate to one another.<\/p>\n A recent multilevel review by Bankins and colleagues (2024) in the Journal of Organizational Behavior unpacks what researchers have learned so far about AI in organizational life. What they found is clear: Introducing AI into the workplace is not just a technical or strategic change, it’s an emotional one, too.<\/p>\n AI and the Identity Question<\/p>\n Consider the scenario of an experienced journalist whose creativity<\/a> is now complemented, or perhaps overshadowed, by an AI system generating headlines at lightning speed. Or think about a recruiter whose instincts are second-guessed by an algorithm. These situations are becoming increasingly common.<\/p>\n AI often challenges workers’ professional identities, forcing them to confront a fundamental question: What unique value do I bring to this job that a machine cannot replicate? This tension manifests in subtle yet profound ways\u2014feelings of being devalued, reduced to mere data points, or feeling like “just a human” compared to an error-proof machine. For some, AI serves as a catalyst for reinvention; for others, it breeds quiet unease.<\/p>\n The Emotional Spectrum: From Hope to Fear<\/p>\n Research indicates that emotional responses to AI vary widely (Shank et al., 2019). Some workers feel excitement and optimism<\/a>, particularly when AI is framed as a supportive tool that handles repetitive tasks, allowing them to focus on more creative or strategic endeavors. Conversely, others experience fear<\/a>, frustration, or helplessness, especially when AI is imposed from the top down without adequate training, communication, or agency. Many may feel monitored, replaced, or left behind.<\/p>\n The emotional ambiguity surrounding AI is telling. It transcends the characteristics of a simple tool; it makes decisions, “learns,” and can outperform humans in specific tasks. This blurring of boundaries<\/a> between tool and teammate can be deeply unsettling.<\/p>\n Trust Issues: Can You Trust a Machine?<\/p>\n Trust is a recurring theme in discussions about AI. Employees often question whether they can trust the decisions made by AI systems and whether they feel safe in questioning or overriding those decisions. Concerns arise when these systems are used to evaluate performance.<\/p>\n As highlighted by Bankins et al. (2024), emotional trust is influenced not only by the accuracy of the technology but also by how AI is introduced, who controls it, and whether employees feel like active participants in the process. Low trust can lead to resentment and resistance, while high trust fosters collaboration<\/a> and creativity.<\/p>\n The Silent Strain of Change Fatigue<\/p>\n Recent studies have identified what could be termed AI-induced change fatigue. In workplaces already inundated with transformations\u2014new software, shifting roles, constant reskilling\u2014AI can feel like yet another disruptive force. Workers may silently wonder: When will it end? When will I feel competent again?<\/p>\n Emotional fatigue manifests as disengagement, burnout<\/a>, or cynicism<\/a>. It\u2019s not merely about whether AI functions effectively; it\u2019s about how much change individuals can absorb before emotionally shutting down.<\/p>\n What’s Missing From the Conversation<\/p>\n A significant insight from existing research is that AI discussions have predominantly focused on technical outcomes\u2014productivity<\/a>, task performance, and error reduction. However, a deeper exploration of the emotional and psychological impact is essential.<\/p>\n What implications does it have for motivation<\/a> when AI receives credit for key insights? How do team dynamics shift when some members rely on AI while others resist it? How can we support individuals whose sense of competence has been quietly undermined?<\/p>\n These human-centered questions often remain unaddressed in AI implementation discussions, highlighting the need for leadership<\/a> and organizational psychology to focus on these dimensions.<\/p>\n Moving Forward: Emotional Intelligence Meets Artificial Intelligence<\/p>\n So, what can organizations do?<\/p>\n Acknowledge the emotional reality of AI integration. This involves not only offering technical training but also creating spaces for reflection, open dialogue, and even venting. Final Thought<\/p>\n
\nInvolve employees in the AI journey. When individuals have a say in how AI is utilized and how their roles evolve alongside it, they are more likely to engage positively.
\nSupport leaders in developing emotional intelligence<\/a>. Leaders should be attuned to early signs of withdrawal or tension and frame AI as a partner that relies on human judgment, ethics<\/a>, and creativity rather than as a replacement.<\/p>\n