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The Impact of AI On Our Emotional Intelligence

June 11, 2025 By h3strategies

Artificial intelligence has become an essential part of our daily workflows. The combination of chatbots for customer service and platforms such as ChatGPT and Gemini (or Grammarly, which proofread this article) has established AI as an essential work collaborator in various industries.

The current situation forces us to evaluate how our work with AI affects our emotional intelligence rather than predicting dystopian scenarios. A reliable framework exists to study this phenomenon. The Bar-On EQ-i 2.0 model functions as a scientifically proven framework to examine emotional and social competencies. The five core composites of emotional intelligence enable us to study the specific ways AI affects human skills when not monitored. The analysis draws support from academic research, which investigates the complex relationship between artificial intelligence and human psychology. A list of resources can be found at the end of this post.

1. Self-Perception: Understanding Our Inner World

This composite is our internal compass—how well we know ourselves, believe in our capabilities, and define our personal and professional goals.

  • Self-Regard: In essence, this is our professional self-confidence. The risk is subtle: Our we may start to doubt our intrinsic abilities when we depend on AI for complex analysis or creative sparks on a regular basis. The opportunity, however, is to leverage AI as a tool to augment our skills—a sparring partner that sharpens our ideas and ultimately bolsters our confidence.
  • Self-Actualization: AI can serve as a powerful tool to help us explore, develop, or acquire new skills. However, it also contributes to digital distractions that can divert our attention and hinder meaningful work. The challenge is using AI with clear intention, concentrating on a path of purposeful growth, and not letting it take over the driver’s seat in our process.
  • Emotional Self-Awareness: This is the bedrock of EQ: knowing what we’re feeling and why. AI can create a disconnect here. Offering immediate, data-driven solutions can tempt us to bypass the crucial process of internal reflection. Conversely, newer AI-powered tools for journaling and feedback can act as a mirror, helping us identify emotional patterns and triggers with surprising clarity. The risk is subtle: when we habitually rely on AI for complex analysis or creative sparks, we can begin to doubt our intrinsic abilities. The opportunity, however, is to leverage AI as a tool to augment our skills—a sparring partner that sharpens our ideas and ultimately bolsters our confidence.

2. Self-Expression: Articulating Our Internal State

This composite governs how effectively we voice our thoughts and feelings to the world. It’s about clarity, boundaries, and constructive communication.

  • Emotional Expression: The efficiency of AI-generated communication is impressive, yet it lacks emotional depth. The adoption of this communication style might lead us to eliminate the authentic emotional elements that create trust between people. AI provides an effective tool for people who struggle to express their complex emotions when they need to write difficult conversations.
  • Assertiveness: It’s easy to be assertive with a machine. The ability to be assertive with colleagues, clients, and stakeholders requires a different level of skill than interacting with machines. The excessive use of AI-mediated interactions may reduce our motivation to participate in essential dialogues that lead to real-world progress and weaken our ability to engage in such dialogues when needed.
  • Independence: The ability to be self-directed is a hallmark of leadership. The instant availability of AI-generated answers and directions creates a new dependency, which makes us want to bypass the essential emotional and mental process of problem-solving. The development of independent thought requires us to resist this temptation because dependency risks exist.

3. Interpersonal: Cultivating Human Connection

This is the core of our social functioning—our ability to build and maintain strong, effective relationships.

  • Interpersonal Relationships: A meaningful professional relationship requires more than perfectly crafted emails to establish itself. AI technology produces artificial connections through its efficient operations, which simultaneously destroys the authentic relationships that develop from spontaneous human interactions. We need to actively choose authentic face-to-face interactions for building meaningful relationships.
  • Empathy: This stands as the most vital area of impact. Empathy represents the capacity to recognize and value the emotions that others experience. AI systems can generate empathetic responses through programming, yet they cannot experience emotions. Our teams and clients’ genuine emotional currents become less detectable when we experience simulated empathy too frequently.
  • Social Responsibility: This exists as our dedication to maintain cooperative and constructive membership in both our organization and society. AI tools assist our team organization and contribution to societal efforts, yet they also establish echo chambers that threaten collaborative team dynamics. Social responsibility requires us to actively seek diverse perspectives that extend beyond what the algorithm presents.

4. Decision Making: Navigating Complex Choices

This composite is about our ability to use emotional information to make sound judgments and effective decisions.

  • Problem Solving: AI is a phenomenal tool for brainstorming and data analysis. The danger is not in using it but in abdicating our role in the process. The most effective leaders use AI as a high-powered research assistant, retaining critical thinking and final judgment for themselves.
  • Reality Testing: AI delivers a personalized information stream, which can inadvertently create a distorted view of reality. More than ever, strong reality testing requires us to be disciplined consumers of information, actively questioning our assumptions and seeking objective facts.
  • Impulse Control: We operate in a culture of immediacy, and AI is its supercharger. The instant gratification of a ready-made answer can weaken our capacity for deep thought and delayed gratification—the very skills required for complex, strategic decision-making.

5. Stress Management: Building Resilience and Balance

This composite reflects our ability to withstand pressure and adapt to change.

  • Flexibility: While AI can help us adapt to changing data points, true flexibility is about adapting our thoughts and behaviors. Over-reliance on AI’s predictive capabilities can make us less resilient when faced with unexpected events outside the model.
  • Stress Tolerance: Herein lies a modern paradox. AI powers the wellness apps and mindfulness tools we use to manage stress, yet the “always-on” culture it facilitates is a primary source of that stress. The key is to leverage the tools while setting firm boundaries against the overload.
  • Optimism: The goal of this is to maintain a resilient, positive outlook. Your information feed, which is curated by AI, can be either a source of innovation and inspiration or cynicism and alarm. We need to consciously curate our inputs and focus on what we can control and influence to maintain a constructive and optimistic viewpoint.

The Path Forward: A Call for Conscious Integration

AI functions as a strong new element that affects professional effectiveness. The EQ-i 2.0 model enables us to transition from accepting AI passively to actively integrating it into our work. The goal should be to actively participate in technological advancement rather than fight it , while developing emotional intelligence to handle our tool usage effectively.

But what does this look like in practice? Here are four immediate steps you can take to put conscious integration into action today:

  1. Apply the “Human-First” Rule as a guideline to think about tasks independently before using AI for problem-solving or decision-making or writing communications. Begin by writing down your initial ideas, and then identify the fundamental emotional message or essential problem you want to convey. Your critical thinking and emotional self-awareness remain the primary tools through this habit, which makes AI function as an assistant instead of an originator.
  2. Use AI as a “Devil’s Advocate”: Instead of asking AI for the “right” answer, use it to challenge your thinking. After developing a proposed solution or point of view, ask the AI system to identify potential blind spots in the approach and argue against the current perspective. The Reality Testing and Problem-Solving skills become more robust through this approach, which helps you develop resilient strategies while avoiding confirmation bias.
  3. The “Draft, Don’t Deploy” Method for Communication allows you to use AI to generate a first draft of a sensitive or complex email, but you should rewrite at least 30% of the content in your authentic writing voice. Your primary focus should be on adding empathy and nuance to your personal style in the content. The use of AI efficiency enables you to maintain authentic human connections, which remain essential for building strong interpersonal relationships.
  4. Schedule Analog Time: Set specific times on your schedule to spend on human interaction without technology. The time can be spent on brief coffee breaks with colleagues or walking while discussing ideas or in brainstorming sessions without laptops. The most effective way to build strong interpersonal and empathetic skills in our digital era involves dedicating time to genuine face-to-face interactions without digital interference. Spending more extended periods without digital devices during digital detox helps us detect hidden flaws in our AI usage.

By adopting intentional practices like these, you actively take control, ensuring that you shape AI’s role in your work rather than the other way around.

Academic References

Studies across various fields reveal how increased reliance on AI can influence our cognitive processes, social interactions, and emotional states, highlighting critical areas like ‘de-skilling,’ human-AI collaboration, and the ethical considerations surrounding AI’s influence on empathy and critical thinking. These scholarly contributions provide an evidence-based understanding of AI’s impact on our emotional intelligence, moving beyond speculation to informed, intentional engagement with technology.


Academic References:

  • Parasuraman, R., & Sheridan, T. B. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(3), 286-297. https://ieeexplore.ieee.org/abstract/document/844717
  • Hasan, M. M., & Naeem, S. (2022). The Impact of Automation and Knowledge Workers on Employees’ Outcomes: Mediating Role of Knowledge Transfer. International Journal of Research in Business and Social Science (2147-4478), 11(1). https://www.researchgate.net/publication/358130623_The_Impact_of_Automation_and_Knowledge_Workers_on_Employees’_Outcomes_Mediating_Role_of_Knowledge_Transfer
  • Al-Emran, M., & Teo, T. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Future Internet, 15(1), 6. https://www.mdpi.com/1999-5903/15/1/6
  • Zhu, J., Gu, B., Huang, Y., & Chen, S. (2025). AI-Mediated Communication: Trustworthiness, Authenticity, and Knowledge Use. Open Science Framework (OSF) Pre-print. https://osf.io/np8zx/
  • Talk, Listen, Connect: Navigating Empathy in Human-AI Interactions. https://arxiv.org/pdf/2409.15550
  • Evidence-Based Mentoring. (2025). New Study Explores Artificial Intelligence (AI) and Empathy in Caring Relationships. https://mental.jmir.org/2024/1/e56529
  • Alajmi, M. A. A. (2025). Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business. World Journal of Advanced Research and Reviews, 25(01), 743–750. https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0571.pdf
  • Karam, S. A., Salama, O., Zikra, H., & El-Keshky, M. (2025). Mental health in the “era” of artificial intelligence: technostress and the perceived impact on anxiety and depressive disorders—an SEM analysis. Frontiers in Psychology, 16. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1600013/full.

AI and Human Collaboration Disclosure:

This article was developed through a combination of human and AI contributions. Specifically:

  • Grammarly was used for proofreading and grammar refinement.
  • ChatGPT and Google Gemini were consulted for content development support and to assist in identifying relevant academic resources.
  • Human collaborators contributed through initial idea generation and content discussions.

The author made all insights and final editorial decisions to ensure alignment with the article’s purpose and audience.

Filed Under: Emotional Intelligence

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