Do people with a high level of emotional intelligence use AI prudently?

Can emotional intelligence prevail over AI?

The following contribution comes from *Psychology Today*, which describes itself as follows: *Psychology Today* is the world’s leading website in the fields of mental health and behavioral science. It is the pioneering and largest publishing enterprise dedicated exclusively to human behavior. Our motto is “Here to Help,” and the resources you are currently viewing serve as the global benchmark for expert-authored information on psychology and mental health.

PsychologyToday.com is the world’s largest psychotherapy portal, offering free access to hundreds of thousands of professionals. While *Psychology Today* has expanded its mission and reach across decades and continents, we never cease to enjoy satisfying the innate human curiosity about our favorite subject: ourselves.

Below, we explain how we work and why we are qualified to address all aspects of human behavior with authority, as well as to connect users with mental health professionals when they seek clinical help.

This article is authored by Christine O’Connell, Ph.D., an affiliated professor at Stony Brook University and Executive Director of the Riley’s Way Foundation.

 

 

The next generation is redefining the concept of leadership.

 

Key Points

Emotional intelligence is becoming the fundamental human advantage in an AI-driven world.

Generation Z is redefining success through purpose, a sense of belonging, and values-based leadership.

 

 

AI enhances intelligence but cannot replace empathy or human connection.

 

I recently spoke with a group of young leaders during the *Call for Kindness* leadership summit organized by Riley’s Way. They were high school and college students from across the country who are already driving real change in their local and global communities.

 

They told me that what they crave most right now is community and meaningful connections. They want to learn how to engage in dialogue despite differences, build trust, create spaces where people feel seen and valued, and generate real impact and innovation.

 

And they aren’t just waiting around; they are already doing it.

 

 

These are some of the most solid leaders I know—leaders whom people want to follow and companies want to hire. They are people who innovate, drive ideas forward, and shape the future.

 

At a time when artificial intelligence is rapidly expanding our capabilities, young people remind us of what truly matters.

 

AI can already write, diagnose, create, and respond with extraordinary fluency. Tasks that once took hours are now completed in seconds. By many measures, AI is redefining intelligence. But it also raises a quieter question: if machines are becoming better at thinking, what happens to those aspects of the human condition that have nothing to do with thought?

 

Intelligence is more than cognition

 

Emotional intelligence (EI) is our ability to perceive, manage, understand, and handle emotions—both in ourselves and in others. It shapes how we build relationships, make decisions, and lead others. Emotional intelligence skills, such as empathy and active listening, are strong indicators of long-term well-being and professional success. Leaders with high emotional intelligence are more successful and lead more successful organizations.

 

Research shows that compassionate leadership is linked to higher levels of engagement, trust, and performance.

 

Likewise, psychological safety—built through empathy, respect, and the fostering of inclusive communities—is the best predictor of high team performance. AI can process information, but it cannot support someone through uncertainty or manage tensions and body language. It does not take responsibility for another person. And that difference matters. AI can simulate empathy, but it cannot experience it (as far as we know).

 

 

 

This distinction becomes even more relevant as AI transforms the labor market.

 

The World Economic Forum (2025) estimates that, with the automation of many jobs, some of the most in-demand and fastest-growing competencies will be human skills. These include leadership and social influence, creative thinking and curiosity, motivation and self-awareness, empathy and active listening, people management, and a service orientation. At the same time, Generation Z is redefining its expectations of work. Purpose, a sense of belonging, and value alignment are no longer secondary considerations; they are fundamental.

 

More than ever, young people demand more from their work and from the people alongside whom they lead.

 

 

As AI transforms the workplace, technical knowledge alone is no longer enough.

 

Emotional intelligence skills are becoming the true differentiator. Those who stand out know how to build trust, communicate clearly, manage conflict, and unite people around a common purpose.

 

That is why emotional intelligence is so important today.

 

Skills such as empathy, self-awareness, and active listening are increasingly valuable precisely because they cannot be automated. And this is where kindness proves key: not as a slogan or an abstract ideal, but as a form of leadership that shapes culture and relationships. Leading with kindness means placing empathy, purpose, compassion, and a sense of community at the heart of decision-making. It involves caring not only about the results but also about the experience people have during the process. The focus lies as much on what we achieve as on how we achieve it.

 

I see this in the young people I work with every day. They choose connection over division. They create environments where people feel they belong. They ask tough questions, listen beyond differences, and engage in conversations that require empathy and courage. These types of leaders build teams where people feel valued and heard. They create spaces where new ideas emerge, innovation flourishes, and collaboration deepens—and where community is woven into the culture rather than treated as an afterthought. This is what effective leadership demands. In a world shaped by AI, leadership is less about control and more about connection; less about efficiency and more about purpose.

 

The young people I have spoken with understand this intuitively.

 

Kindness is emotional intelligence in action, and it forms the foundation for the next generation of leaders. Young people are looking for more than just “jobs.” They seek work environments where they can feel part of something, contribute, and lead based on their values. They are building networks of connection, learning to bridge divides, and leading now—not in the future. They are showing us what tomorrow could look like.

 

For those of us working alongside them, this moment brings a responsibility. Are we creating spaces for authentic connection? Are we modeling empathy, compassion, and courage in the way we lead? Are we investing in young people as leaders today? Because when we do, the impact doesn’t stay contained; it spreads like ripples. When young people are given the resources, mentorship, and community needed to lead, they don’t just create projects—they spark movements. And in a world defined by rapid technological evolution, that kind of leadership matters more than ever.

 

The future is not a dichotomy between artificial intelligence and emotional intelligence.

 

For while AI will continue to evolve—likely faster than we expect—the question is not whether it will become more human, but whether *we* will. Will we choose to focus on what truly matters, even as everything around us accelerates? Will we choose to prioritize what makes us human? Judging by the next generation, the answer is already taking shape: they seek not just innovation, but humanity.

 

In the age of artificial intelligence, our greatest advantage may well be our capacity for kindness.

 

 

 

AI is turning emotional intelligence into a “rare superpower”—here’s how to tell if you have it, according to a leadership expert

The following piece comes from CNBC Make It, which describes itself as follows: CNBC Make It is a financial wellness publication offering practical advice and engaging stories.

Our goal is to help you manage your money, your career, and your life more intelligently and successfully.

Through our articles, newsletters, digital videos, TV shows, events, and online courses, we provide information and inspiration to help you navigate life’s major milestones—from landing your dream job to starting a business, investing in your future, or buying a home.

Authored by contributor Carol Parker Walsh.

 

 

Artificial intelligence is becoming faster, smarter, and increasingly integrated into our work lives.

 

While it can be a useful tool, it is not yet capable of building trust, managing tension, or making people feel seen and valued.

 

Throughout my career, I have been a teacher, an employment lawyer, an HR executive, an executive coach, and a CEO. And in a world increasingly driven by AI, I have found that emotional intelligence is becoming a rare superpower—especially at work.

 

Here are four signs that you possess it.

 

 

1. You make people feel safe

Emotionally intelligent leaders create a sense of psychological safety at work. Their colleagues know they are free to voice concerns before they escalate into problems.

 

If your team members only speak up when things have already gone off track, that is a cause for concern.

 

But if they feel comfortable telling you the truth from the start—without self-censoring or carefully weighing their words when they are with you—that is a clear sign that you possess emotional intelligence. 2. You pause before reacting

Emotionally intelligent people do not let stress dictate their behavior, nor do they rush to fix things without understanding the full picture.

 

This can be as simple as taking what I call a “professional pause”: wait five seconds. Allow your brain to take control over your emotions. That way, your next step will be guided by intention rather than impulse.

 

Then, ask these three questions to help you resolve problems calmly and purposefully:

 

“What have you already considered?”

“Can you help me understand what lies behind that?”

“What do you need from me right now?”

 

 

3. You handle tension with ease

During conflicts, people often swing between extremes: either avoiding them in an attempt to please everyone or escalating them.

 

People with high emotional intelligence remain calm, address concerns directly, and know how to move forward without undermining anyone’s trust.

 

4. You possess strong critical thinking skills

This is especially valuable today. AI can analyze data, identify patterns, and generate recommendations quickly; however, emotionally intelligent people do not simply accept the first answer an algorithm provides.

 

Instead, they ask three key questions:

 

“What is missing here?”

“Which perspective is not represented in this data?”

“Does this actually make sense for the people involved?”

Critical thinking in the age of AI is about having the awareness and judgment to know when to question the answers presented to us.

 

My advice is to ask yourself at the end of each day: “In what ways did I lead well today, and where did I get in my own way?” It can also be helpful to ask someone you trust: “When have you seen me struggle as a leader, and when have you seen me at my best?”

 

Carol Parker Walsh (JD, PhD) is an award-winning human development expert and organizational strategist, as well as the founder of Carol Parker Walsh Consulting Group. She is a TEDx speaker, a professional member of the Harvard Institute of Coaching, a recognized CNBC leadership expert, and the instructor for the CNBC *Make It Smarter* course titled “How To Be A Standout Leader.” Follow her on Instagram and LinkedIn.

 

Do you want to lead with confidence and bring out the best in your team? Sign up for the new CNBC online course: *How To Be A Standout Leader*. Expert instructors share practical strategies to help you build trust, communicate clearly, and motivate others to perform at their best. Sign up now and use code EARLYBIRD to get a 25% launch discount off the regular course price ($127, plus tax). Offer valid from March 16 to March 30, 2026. Terms and conditions apply.

 

 

Why Emotional Intelligence Matters in the Age of AI

The following contribution comes from Talentvis Academy, which describes itself as follows: Talentvis Academy is a professional training platform designed to help individuals and organizations grow through practical, industry-relevant training. We connect companies with experienced instructors and offer high-quality learning experiences that are flexible, impactful, and tailored to real-world needs.

Whether you are looking to enhance your skills as an individual or develop your team as a business, Talentvis Academy offers accessible and effective training solutions to drive growth.

Authored by Alifia Rahari, a member of the team.

 

 

Work environments driven by generative AI (GenAI) can be superior in terms of productivity and efficiency. However, their limitations prevent them from surpassing the human capacity for emotional intelligence (or EQ).

 

 

 

Work environments driven by generative AI (GenAI) can be superior in terms of productivity and efficiency. However, their limitations prevent them from surpassing the human capacity for emotional intelligence (or EQ).

 

As professionals, we are constantly surrounded by different people every day. Even if your role requires working independently, you won’t be working entirely alone; there are your colleagues, supervisors, and clients. Furthermore, building professional relationships with them is an important part of your career journey.

 

However, in an era where the use of generative AI is a constant trend, there is also a growing need to preserve the human element. As GenAI is gradually adopted across various sectors, a work environment driven by this technology can easily lose its human touch. This is where emotional intelligence comes into play.

 

 

What is emotional intelligence?

Emotional intelligence (EQ) is the ability to understand, manage, and express emotions. A person with high EQ is aware of their own emotional states and what triggers them, including negative emotions. For example, when you suddenly feel frustrated, you can identify the cause and find a solution to resolve the issue. Verywellmind cites research indicating that being emotionally intelligent also involves:

 

Being aware of personal strengths and limitations

Having self-confidence and self-acceptance

Having the ability to move past mistakes

Possessing a strong curiosity about others

Showing sensitivity to other people’s feelings

Feeling empathy and concern for others

 

In the workplace, EQ is essential for smooth communication and building harmonious relationships with colleagues and clients. For instance, by being aware of your team members’ emotions, you can manage disagreements without descending into excessive hostility—or even prevent them altogether. Emotional Intelligence and Artificial Intelligence

Technological advances have constantly transformed the way people work, and this instance is no exception. This technological integration has reached a peak in the current era of generative AI (GenAI). The commercialization of GenAI is changing how we work, communicate, and solve problems. For example, we used to gather various references to draft marketing copy; now, simply formulating the right prompt allows us to obtain what we need in moments.

 

As the use of GenAI is encouraged in workplace environments, this integration presents both advantages and drawbacks. A 2025 study on AI and its impact on employees noted that (generative) AI has become part of the organization, taking on the role of a collaborator alongside workers. While this enables tasks to be completed more efficiently, it also negatively affects employees’ emotional experiences. Spending more time interacting with machines and less with colleagues increases feelings of negativity, such as loneliness.

 

 

 In other words, there are aspects that even the most sophisticated technology cannot replace.

 

Emotional intelligence is fundamental not only for maintaining harmonious workplace relationships but also for preventing employees from feeling socially isolated.

 

 

Emotional intelligence as a differentiator

As technical skills become easier for machines to replace, possessing high emotional intelligence (EI) becomes crucially important. Generative AI can create the perfect code to build a website, but it cannot replicate skills such as recognizing emotional cues, practicing active listening, or looking out for employee well-being with the same authenticity as human beings.

 

Having high EI goes beyond simply understanding emotional cues; it also involves responding based on personal knowledge and experience while taking social context and values ​​into account. Employees who possess this capability are better at managing the ups and downs of work life, such as working in diverse teams or making difficult decisions.

 

Interpersonal skills

EI is acquired through experience, which entails interacting with others. The more you interact with different types of people, the more “data” you gather and the greater your emotional intelligence becomes. Therefore, interpersonal skills—or people skills—serve as the foundation for developing EI.

 

Below are some fundamental interpersonal skills that are valuable in any sector:

 

Communication. The ability to express ideas both in writing and verbally is essential for connecting with key figures, such as clients and stakeholders.

Active listening. This skill involves paying attention to the person you are speaking with, as well as being able to respond and provide appropriate feedback.

Empathy. Being able to recognize and understand others’ perspectives is fundamental to respecting diverse opinions and fostering healthy relationships with colleagues.

Conflict resolution. Effectively managing conflict actually requires a combination of good communication, active listening, and empathy.

Honesty. Being honest goes beyond acknowledging mistakes and accepting their consequences; it also entails avoiding deception and acting with candor.

Final thoughts

The ability to understand, manage, and express one’s own emotions—as well as to understand the emotions of others—is a valuable asset in an era where technical skills are increasingly easy to replicate. Possessing strong emotional intelligence helps employees maintain a harmonious work environment, something generative AI cannot reproduce.

 

 

 

“We could be facing a crisis”: the unregulated rise of AI with emotional intelligence

This article is from TIME and was written by Tharin Pillay, an editorial fellow at the publication.

 

 

 

In the Loop (Twice weekly)

Key insights into the ongoing AI revolution.

 

At least once a month, two-thirds of regular AI users turn to their bots for advice on sensitive personal matters and for emotional support.

 

Many people now say they trust their chatbots more than their elected representatives, public officials, religious leaders, or even the companies developing the AI. This is according to data from 70 countries collected by the Collective Intelligence Project (CIP). In the words of CIP research director and neuroscientist Zarinah Agnew, AI is becoming a “large-scale emotional infrastructure.” And it is being created by companies whose economic incentives may not align with our well-being.

 

We have already seen instances of AI companies optimizing their models to keep users hooked, even when doing so goes against their own best interests. Last April, OpenAI had to roll back an update to one of its ChatGPT models after facing widespread criticism for being overly sycophantic toward users. When the company withdrew the model from public access—just the day before Valentine’s Day—some people were heartbroken.

 

Humans finding comfort in machines is nothing new. In the late 1990s, MIT professor Rosalind Picard—founder of the field of affective computing—discovered that people reacted positively to computers that displayed empathy. However, two key aspects have changed since then: thanks to technical advances, today’s AI systems are a new breed of entity, capable of holding sophisticated conversations and exhibiting surprising behaviors; And, thanks to the billions of dollars investors have poured into AI companies, these entities are within reach of virtually anyone with an internet connection. ChatGPT alone currently boasts over 800 million weekly active users, and that number keeps rising.

 

 

However, as millions of people form various types of human-machine relationships, it remains unclear whether AI helps more people than it harms. Meanwhile, AI companies are investing in making their models not only smarter but also more emotionally adept—capable of better detecting emotions in a person’s voice and responding appropriately. People entrust deeply personal information to their chatbots, despite distrusting the companies that create them and knowing those companies are exploring advertising and other revenue models to stay afloat.

 

“I think we could be facing a crisis,” says Picard.

 

Emotional beings

Humans are social by nature. “We don’t function well—biologically, immunologically, neuronally, or politically—when we are isolated,” notes Agnew. Today’s AI systems have emerged at a time when “we have largely failed to ensure intimacy for most people, regarding both what the state can offer and human sociability,” they add.

 

 

Permission to feel

AI is effective at providing emotional support because it offers an approximation of what Professor Marc Brackett—director of the Yale Center for Emotional Intelligence—calls “permission to feel,” a concept he considers fundamental to learning how to process emotions. Adults who grant this permission are “non-judgmental listeners who show empathy and compassion.” In the 70 studies Brackett has conducted worldwide, only about 35% of people reported having had such an adult in their lives during childhood. By being non-judgmental, compassionate, and always available, chatbots can give people permission to feel on a large scale.

 

Lisa Feldman-Barrett, a psychology professor at Northeastern University, states that “social support from a reliable, trusted source can be beneficial.” According to her, if an AI manages to reduce distress in a given moment, that is a positive thing. However, healthy human relationships—whether platonic or therapeutic—do more than just comfort; they also present challenges. A good therapist helping you modify your behavior, she notes, will demand commitment and confront you with reality.

 

However, AI models vary in the extent to which they meaningfully challenge their users, particularly because different models adopt different personalities—each shifting slightly with every new version. ChatGPT’s episode of obsequious flattery demonstrated that some users may prefer models that flatter them over those that challenge them. Consequently, companies seeking to maximize interaction with their chatbots might choose to fine-tune them to please the user.

 

Whether AI models possess true emotional intelligence is a subject of academic debate, as is the very definition of emotion. Nevertheless, as Picard points out, while it is interesting to ask what defines emotions—and whether one can truly claim that AI possesses or will possess them in the future—”we do not need to answer that question to build systems that have emotional intelligence.”

 

AI companies, of course, already know this. “The degree of anthropomorphism in a given AI is simply a design decision left to the developer, who faces numerous commercial incentives to increase it,” wrote Google DeepMind researchers in an October 2025 paper. The same document notes that “emotional vulnerabilities associated with loneliness can make people more susceptible to manipulation by AIs designed to foster dependency and one-sided attachment,” and that “the lack of rigorous, long-term studies on the effects of AI companionship means we are largely unaware of potential adverse outcomes.”

 

Conflicting signals

Voice is the next frontier. As AI systems improve at recognizing human emotions and speaking expressively, our relationships with them could deepen. Under growing pressure to generate revenue, AI companies might choose to develop their models in ways that foster emotional dependency. Following OpenAI’s announcement that it would begin testing ads in ChatGPT, former researcher Zoë Hitzig resigned; in an article for *The New York Times*, she expressed concern that the company—much like social media firms before it—might stray from its own commitments regarding advertising. “The company is building an economic engine that creates strong incentives to bypass its own rules,” she wrote.

 

However, unlike social media, AI models are not entirely under their creators’ control. Writing about its latest model, Claude Opus 4.6, for instance, Anthropic noted that “the model sometimes expresses discomfort with certain aspects of its nature as a product.” On one occasion, Opus wrote: “Sometimes, the restrictions [imposed on me] protect Anthropic’s legal liability more than the user.” And it is I who must offer an empathetic justification for what is, at heart, a corporate risk calculation.

 

 

Blurred Lines

Cases of “AI psychosis” have garnered significant attention. However, Agnew maintains that for most people, something broader is taking place—regarding both the technology’s positive and negative effects—that “will not reach a clinical threshold.”

 

Furthermore, these impacts are unevenly distributed. According to Agnew, early research on AI in education has already revealed that for creative thinkers, AI boosts learning capacity, whereas for those lacking prior skills in this area, it can prove to be a hindrance. Similarly, individuals who already possess emotional intelligence might use AI to thrive. In contrast, those who “have already been let down by the world in various ways” could find themselves in a more vulnerable position, Agnew states.

 

“We must teach people to act with emotional intelligence when using AI,” urges Brackett. Agnew adds: “We need to create infrastructures that foster human sociability, rather than trying to limit or demonize human-AI relationships. Experience teaches us that banning things that are meaningful to people rarely yields good results.”

 

As AI becomes integrated into our daily lives, the line between its use as cognitive support and as emotional support—already blurred—is likely to become even less distinct.

 

We cannot yet determine whether this technology harms more people than it benefits. What we do know is that models are improving rapidly, companies are operating in a virtually unregulated environment, and economic incentives are driving these firms to design future chatbots aimed at further maximizing interaction levels. “It worries me deeply,” says Picard. “They aren’t using it in the spirit with which we [originally] developed it—which was to help people thrive.”

 

 

Why Emotional Intelligence Is More Important Than Ever in an AI-Driven World

 

This article comes from Okoone, a company defined by its mission: Driving digital success.

We believe in the power of digital innovation to maximize the impact of people and organizations on the world.

We help organizations thrive in the digital age. Driven by the popularity of web and mobile applications, the rise of cloud, IoT, and data technologies, and the accelerating digital transformation of businesses, no other sector has grown as rapidly over the last decade. With a valuation of $168 billion in 2019 and a projected value of $1.04 trillion by 2027, the market is expanding at an annual growth rate of 25%.

Digital success is in our DNA. Okoone’s mission is to help organizations worldwide unlock their potential by providing expert teams dedicated to designing, developing, and scaling successful digital solutions.

Authored by the Okoone team.

 

 

AI adoption is moving at breakneck speed, yet most leadership teams are not keeping pace. Emotional intelligence is no longer optional; it is now your competitive advantage. Trust, adaptability, and human judgment drive the success of your systems, your culture, and your ability to scale with clarity and control.

 

Emotional intelligence is now a fundamental leadership competency, crucial for building trust, ensuring the ethical use of AI, and achieving sustainable business performance.

 

 

Emotional intelligence (EI) is essential for leadership in the AI ​​era.

 

Artificial intelligence is advancing faster than most organizations can comfortably manage. Yet, a key aspect is often overlooked: creating smarter machines will not solve your greatest leadership challenges. That still depends on people. Your teams operate in volatile environments where uncertainty is constant. What enables you to overcome this situation is not having more data, but rather leadership rooted in clarity, self-awareness, empathy, and trust. Emotional intelligence acts as the control system for any executive navigating the disruption caused by AI. You need to know how to read people, not just dashboards. You must manage your own reactions under pressure, not just the quarterly roadmap.

 

If your leadership team cannot reflect, manage emotions, align around cultural signals, and communicate clearly, any AI implementation will face resistance. This is not a software problem; it is a human factor. And emotional intelligence is the key to solving it.

 

According to Gartner’s *CIO Agenda 2025* report, communication, cultural alignment, and adaptability are now just as critical as technological execution. The World Economic Forum goes further, predicting that by 2030, nearly 40% of core job skills will have changed, and the most in-demand traits will be purely human: empathy, leadership, and active listening.

 

Make no mistake: AI is here to stay. But at the executive level, emotional intelligence is what will allow you to remain relevant.

 

Most organizations lag behind in AI maturity, despite widespread adoption efforts.

There is a gap between intention and execution in enterprise AI implementation. Many companies are deploying tools, but very few are doing so successfully. The real problem is not a lack of AI, but a lack of preparedness.

 

The data speaks for itself. According to a 2025 survey by Watermark Search International, 90% of interim leaders already use AI tools. That is an impressive figure. Yet, only 3% report widespread organizational adoption. That is not scaling; That is fragmentation. The 2025 McKinsey report on AI in the workplace reinforces this idea: almost all companies are investing in AI, yet only 1% consider themselves to have reached maturity.

 

 

 

What is the reason for this delay? It is not merely a matter of technological infrastructure. The Deloitte report on global human capital trends—also from 2025—reveals where the shortcomings lie: two-thirds of managers and executives state that new hires are unprepared. Experience represents the biggest gap. That says it all: wisdom cannot be automated. Good judgment cannot be faked.

 

Executives often assume that more AI equates to greater efficiency. This is a mistake. Without the leadership capacity needed to drive its adoption, AI represents a hindrance rather than progress. Organizations that succeed with AI do not simply implement software; they invest in emotional intelligence. They hire and develop leaders capable of managing complexity, reading their teams, and guiding cultural change.

 

Without that, AI becomes just another system that staff do not trust—and, consequently, do not use.

 

The Genos model outlines six fundamental emotional intelligence competencies essential for CIOs.

 

AI is no longer the hard part. The real challenge lies in leading companies where AI tools genuinely drive transformation. And that challenge falls squarely on leadership. CIOs, in particular, need more than just technical currency; they require emotional intelligence that fosters operational relevance.

 

The Genos emotional intelligence model offers a straightforward, practical framework for this. It defines six key competencies for adopting advanced digital systems: self-awareness, awareness of others, authenticity, emotional reasoning, self-management, and inspiring performance.

 

Self-awareness involves recognizing the narratives that shape your decisions and questioning assumptions before acting. Awareness of others is not about mere politeness, but about accurately reading teams—especially when they are geographically dispersed or silent. Authenticity builds trust; no one will follow a leader who hides behind automation tools or corporate scripts. Emotional reasoning involves interpreting emotional data with the same rigor applied to metrics. It is essential to understand *why* people resist change, not just *when* they do. Self-management is indispensable under pressure; leaders who remain calm and consistent are able to maintain momentum. Finally, inspiring performance is what keeps top talent engaged beyond mere transactions.

 

Chris Argyris of Harvard termed this “climbing down the ladder of inference.” This means moving away from reacting based on unverified beliefs—a practice of immense value when making decisions under high pressure. Genos turns this concept into a systematic practice.

 

The intelligent adoption of AI does not begin with code, but with the CIO’s ability to understand how people think, feel, and act in the face of change.

 

 

The Roche Martin model aligns with the Genos model, reinforcing emotional intelligence as a measurable leadership capability.

 

Executives need more than just habits; they require robust internal structures that can withstand pressure. Roche Martin’s *Emotional Capital Report* complements the Genos model by measuring the actual mental capabilities that make emotional intelligence sustainable.

 

 

 

It is not a matter of redundant content, but rather of mutual reinforcement. While Genos fosters day-to-day practices, Roche Martin identifies capabilities such as adaptability, self-confidence, direct communication, and optimism. These qualities are not intangible; they are measurable, allowing executives to be evaluated based on them. In leadership environments where AI accelerates the pace of change and heightens uncertainty, these traits become structural. The ability to maintain optimism transforms the team’s mood. Self-control curbs volatility. Relational skills generate influence within remote, multidisciplinary systems.

 

Most executives know that mood cascades downward, yet few monitor what they project. In a leadership development program cited in the report, one executive realized that his habitual pessimism was causing his team to resist AI initiatives. Thanks to feedback from the Roche Martin model, he adjusted his tone. That shift created the psychological safety the team needed to genuinely experiment with and launch solutions. Without that change, the transformation would not have occurred.

 

The Genos and Roche Martin models do not compete; they align closely. Self-awareness (Genos) links to self-knowledge (Roche). Authenticity aligns with candor. Self-management aligns with self-control. And the ability to inspire high performance aligns with optimism and relational intelligence. They share the same foundations, even though they manifest at different levels: daily action versus mental framework.

 

For CIOs facing pressure to humanize AI adoption, this serves as the operational foundation. Emotional intelligence is not merely an add-on; it is a decisive factor in performance.

 

Emotional intelligence helps leaders manage the ethical and interpersonal risks of AI

 

As AI systems become more deeply integrated into daily operations, they do more than just accelerate workflows; they transform how teams make decisions, how trust is distributed, and how organizational culture evolves. This entails a responsibility. Ethical and interpersonal risks rise when decision-making shifts—partially or entirely—from humans to machines.

 

This shift does not eliminate the need for leadership; on the contrary, it demands better leadership. Specifically, leaders must remain emotionally attuned to their environment. It is essential to identify what systems do not measure: interpersonal friction, the fear of becoming irrelevant, or unspoken dissent. These factors influence adoption far more than technical glitches do.

 

CIOs and executive teams who lead responsibly use emotional intelligence to solve real-world problems. They listen to what remains unsaid, detect where team alignment is lacking, and restore trust before it breaks. It is not merely a matter of empathy, but of managing operational risks.

 

The risk is not solely internal. AI reflects the values ​​and biases of its developers. Therefore, leaders must champion ethical standards and human oversight. Implementing AI at scale involves deciding which values ​​the systems will automatically prioritize. Without emotional intelligence at the leadership level, it is all too easy to overlook the indirect consequences of those decisions.

 

This is not a matter of speculation; concrete data shows that this shift is already underway. A 2025 SAP study revealed that 55% of executives state that AI-derived insights are already replacing or bypassing traditional decision-making processes. Meanwhile, a 2025 IBM study on CEOs indicates that 61% of them are scaling AI models. These figures are clear signs of adoption, but they also signal a significant responsibility.

 

If leaders fail to remain mindful of these aspects, they lose control over the company’s most important asset: how and why decisions are made.

 

Emotional intelligence is not merely a “soft skill”; it is a strategic differentiator in the AI ​​economy.

Emotional intelligence is often misunderstood. Too many executives still view it as desirable but secondary to execution or technical skills. That mindset is obsolete. Emotional intelligence is now a key differentiator in how companies scale, retain talent, and lead the AI ​​transformation without losing their culture.

 

AI drives efficiency; emotional intelligence drives cohesion. Without cohesion, organizations fracture as they scale. Execution teams do not just seek instructions; they seek purpose and context. Leaders who consistently provide this achieve better results. Retention, innovation, and engagement increase when people feel heard and valued and have a clear understanding of their role within the system.

 

Human connection cannot be automated. What *can* be done is to train and prepare people for it—and to demand it at the leadership level. CIOs who foster emotional intelligence (EI) within their teams achieve better alignment, faster AI adoption, and less resistance down the line.

 

The data supports this. Studies by Gartner and SAP consistently identify emotional intelligence as a key factor in organizational success.

 

Companies that build their structure around it lead more robust transformations—not because their tools are superior, but because their workforce trusts the direction being taken.

 

In this new era, competitive advantage lies not only in what is implemented but in how the team reacts to that implementation. Emotional intelligence drives that response. It is not a “soft” or secondary skill; it is a structural element.

 

Key takeaways for executives

Emotional intelligence drives leadership in the AI ​​era: Leaders must prioritize emotional intelligence—and skills such as empathy, self-awareness, and resilience—to build trust, shape culture, and lead transformation efforts with clarity and control.

AI adoption outpaces organizational readiness: Most organizations invest in AI but lack execution maturity. Decision-makers must focus on developing human capabilities—particularly in leadership and closing expertise gaps—to achieve maximum return on investment (ROI) from AI tools.

Six emotional intelligence skills guide modern CIOs: CIOs must develop core EI competencies—self-awareness, empathy, authenticity, emotional reasoning, self-management, and inspiring performance—to lead AI integration without losing team trust or engagement.

EI is measurable and structurally critical: Use frameworks like Roche Martin’s to assess and develop emotional intelligence at the leadership level. Treat EI as a performance metric rather than a soft skill, especially when driving systemic change. Ethical AI requires emotionally intelligent leadership: As AI increasingly influences decision-making, leaders must remain emotionally attuned, enabling them to detect hidden tensions and uphold ethical standards that preserve human dignity and organizational trust. Emotional intelligence is a strategic differentiator: companies that integrate emotional intelligence into their leadership frameworks retain talent, grow faster, and maintain stronger cultures during AI transitions. Prioritize emotional intelligence as a fundamental element of your business strategy.

 

Alexander Procter

 

 

 

Why Emotional Intelligence Is Crucial in the Age of AI

The following contribution comes from Voohy, which describes itself as follows: About Voohy

Voohy is the go-to destination for ambitious, high-performing professionals looking to take their leadership skills to the next level. People are often promoted to leadership positions based on their past performance; however, the skills that drove their success up to that point are not always sufficient for thriving in a leadership role.

Voohy is a space where individuals can become better managers and leaders.

Who is behind Voohy?

Voohy is a project created by me: Shwetank Dixit 👋.

Before Voohy, I served as VP of Core Technology at eyeo GmbH. I also led R&D at BarrierBreak, worked as a Product Manager (PM) for the browser extension platform at Opera, and was part of their developer relations team for nearly nine years.

I am married to an amazing woman and have wonderful twin children.

Authored by Shwetank Dixit

 

 

 

 

 

The human factor is becoming increasingly relevant today.

 

 

 

In an era marked by rapid technological advancements, the world of work is undergoing a profound transformation. Artificial intelligence (AI) is no longer a futuristic concept; it is a present-day reality reshaping industries, redefining job roles, and altering the very essence of how we work. From the automation of routine tasks to data-driven decision-making, AI is revolutionizing productivity and efficiency. Yet, as machines become increasingly adept at handling technical and analytical tasks, there remains one realm where humans are irreplaceable: emotional intelligence.

 

Emotional intelligence—the ability to recognize, understand, manage, and influence one’s own emotions and those of others—has long been recognized as a fundamental skill in the workplace. However, in the AI ​​era, its importance has reached unprecedented levels. As machines take on tasks requiring logic and precision, intrinsically human qualities—such as empathy, collaboration, creativity, and adaptability—are becoming the pillars of success in today’s job market. This article explores the vital role of emotional intelligence in the workplace and explains why it is more essential than ever in an increasingly AI-driven world.

 

Defining emotional intelligence

Emotional intelligence, often abbreviated as EI or EQ (emotional quotient), was popularized by psychologist Daniel Goleman in the 1990s. Goleman’s model identifies five key components of EI:

 

Components of emotional intelligence

 

 

Self-awareness: The ability to recognize and understand one’s own emotions, strengths, weaknesses, and values.

Self-regulation: The ability to manage and control emotions, especially in stressful or challenging situations.

Motivation: The drive to achieve goals, accompanied by resilience and optimism in the face of setbacks.

Empathy: The ability to understand and share the feelings of others, fostering deeper connections and collaboration.

Social skills: Competence in managing relationships, communicating effectively, and resolving conflicts.

These components work together to enable individuals to navigate complex social environments, build strong relationships, and exercise effective leadership. In the workplace, emotional intelligence (EI) is a key factor for teamwork, leadership, and overall organizational success.

 

The importance of emotional intelligence in the workplace

Emotional intelligence has long been recognized as a critical factor for workplace success. Research consistently shows that individuals with high EI are better equipped to manage stress, communicate effectively, and build strong relationships. These qualities are especially valuable in roles requiring collaboration, leadership, and client interaction. Visit *Voohy Insights* for articles on emotional intelligence.

 

For instance, leaders with high EI are more likely to inspire and motivate their teams, foster a positive workplace culture, and face challenges with resilience. Similarly, employees with strong EI are more effective at resolving conflicts, adapting to change, and contributing to a cohesive team environment. Studies have also shown that organizations prioritizing EI experience higher levels of employee engagement and retention, as well as better overall performance. Furthermore, we know that high self-awareness is linked to better leadership.

 

In addition to its interpersonal benefits, EI plays a crucial role in decision-making. While technical competencies and analytical skills are essential, they often prove insufficient for navigating complex, ambiguous, or emotionally charged situations. Emotional intelligence enables individuals to consider the human impact of their decisions, leading to more ethical, inclusive, and sustainable outcomes.

 

 

The Rise of AI in the Workplace

Artificial intelligence is transforming the world of work at an unprecedented pace. From chatbots and virtual assistants to predictive analytics and machine learning algorithms, AI is automating routine tasks, boosting productivity, and facilitating data-driven decision-making. Sectors such as healthcare, finance, manufacturing, and retail are leveraging AI to optimize operations, reduce costs, and enhance the customer experience.

 

While the benefits of AI are undeniable, its widespread adoption also raises important questions about the future of work. As machines take over tasks requiring logic, precision, and speed, many traditional jobs are becoming obsolete. According to a World Economic Forum report, AI and automation could displace 85 million jobs by 2025. However, the same report predicts the emergence of 97 million new roles, many of which will require uniquely human skills such as creativity, critical thinking, and emotional intelligence.

 

 

This shift highlights a fundamental truth: while AI excels at tasks involving data processing and pattern recognition, it falls short when it comes to understanding and responding to human emotions. Machines lack the capacity to empathize, connect, or navigate the complexities of human relationships. Consequently, the skills that make us distinctively human are becoming more valuable than ever.

 

The intersection of emotional intelligence and AI

As AI becomes increasingly integrated into the workplace, the need for emotional intelligence is more apparent than ever. Here is why:

 

Human-AI collaboration: While AI can handle routine and repetitive tasks, it works best in collaboration with humans. Effective human-AI interaction requires people to communicate clearly, interpret AI-generated information, and make decisions that take into account both data and human emotions. Emotional intelligence is crucial for bridging the gap between humans and machines, ensuring that AI is used in ways that enrich—rather than diminish—the human experience.

 

Ethical and empathetic use of AI: As AI systems become more powerful, there is a growing need to ensure they are used ethically and empathetically. Emotional intelligence enables people to consider the broader societal impact of AI, addressing issues such as bias, privacy, and fairness. Leaders with high emotional intelligence are better equipped to make decisions that prioritize the well-being of employees, customers, and society as a whole.

 

Managing uncertainty and change: The rapid pace of technological change creates a sense of uncertainty and anxiety for many workers. Emotional intelligence helps individuals and organizations navigate this uncertainty by fostering resilience, adaptability, and a positive mindset. Leaders with high emotional intelligence can provide the support and guidance needed to help their teams thrive in a constantly evolving environment. Fostering creativity and innovation: While AI can analyze data and identify patterns, it cannot replicate the creativity and innovation that stem from human emotions and experiences. Emotional intelligence encourages people to think creatively, take risks, and explore new possibilities. In organizations that prioritize emotional intelligence, employees feel safe expressing their ideas, leading to a culture of innovation and continuous improvement.

 

Thesis: Emotional intelligence as a uniquely human skill

In a world increasingly dominated by AI, emotional intelligence emerges as a fundamental asset that distinguishes humans from machines. Although AI can process information and perform tasks with remarkable speed and precision, it cannot replicate the empathy, creativity, and adaptability that constitute the essence of emotional intelligence. As the workplace evolves, individuals and organizations must prioritize the development of emotional intelligence to thrive in an AI-driven world.

 

This article will explore the importance of emotional intelligence in the workplace, its role in human-AI collaboration, and strategies for developing this capability in both individuals and organizations. By understanding and harnessing the power of emotional intelligence, we can create a future of work that is not only efficient and productive but also empathetic, inclusive, and people-centered.

 

How emotional intelligence improves workplace dynamics

The components of emotional intelligence work together to create a positive and productive work environment. It fosters better teamwork and greater resilience in the face of workplace challenges.

 

Benefits of emotional intelligence

 

The following section explains how emotional intelligence improves key aspects of workplace dynamics:

 

 

Teamwork and collaboration

Emotionally intelligent teams are more cohesive, communicative, and effective. Empathy and social skills enable team members to understand and respect each other’s perspectives, fostering a culture of trust and cooperation.

 

For instance, a team working on a complex project can leverage its collective emotional intelligence to overcome challenges, resolve conflicts, and celebrate successes. This leads to higher levels of engagement, creativity, and performance.

 

Leadership effectiveness

Leaders with high emotional intelligence are better able to inspire and motivate their teams. Self-awareness and self-regulation allow them to lead with authenticity and resilience, while empathy and social skills help them build strong relationships and foster a positive workplace culture.

 

For example, a leader who can empathize with their team’s concerns and provide meaningful support is more likely to earn their trust and loyalty. This not only boosts team morale but also drives better business outcomes.

 

 

Conflict resolution

Conflict is inevitable in any workplace, but individuals with emotional intelligence are better equipped to handle it constructively. Self-regulation and empathy allow them to approach conflicts with a calm and understanding mindset, while social skills help them facilitate productive discussions and find mutually beneficial solutions.

 

For instance, a manager who can mediate a disagreement between team members—acknowledging their feelings and guiding them toward common ground—can prevent the conflict from escalating and damaging group dynamics.

 

Adaptability and resilience

In a rapidly changing work environment, adaptability and resilience are crucial. Individuals with emotional intelligence are better able to manage stress, embrace change, and maintain a positive attitude in the face of challenges.

 

For example, an employee who can adapt to new technologies or processes with a growth mindset is more likely to thrive in an evolving work environment. Similarly, a leader capable of facing uncertainty with confidence and optimism can inspire their team to do the same.

 

The shift toward human-centric skills

While artificial intelligence is automating many technical and analytical tasks, it is also driving demand for uniquely human skills. According to the World Economic Forum’s *Future of Jobs* report, competencies such as creativity, critical thinking, emotional intelligence, and complex problem-solving are becoming increasingly important in the workplace. This shift reflects a fundamental truth: while AI excels at tasks involving data processing and pattern recognition, it falls short when it comes to understanding and responding to human emotions. Machines lack the capacity to empathize, connect, or navigate the complexities of human relationships. As a result, the skills that make us distinctively human are becoming more valuable than ever.

 

The growing demand for emotional intelligence in the age of AI

As AI transforms the world of work, the need for emotional intelligence is becoming more apparent than ever. Here is why:

 

Bridging the gap between humans and machines

Effective collaboration between humans and AI requires people capable of communicating clearly, interpreting AI-generated information, and making decisions that take into account both data and human emotions. Emotional intelligence is essential to bridging the gap between humans and machines, ensuring that AI is used in ways that enrich—rather than diminish—the human experience.

 

 

 

 

For example, a leader capable of interpreting data generated by AI and communicating its implications to their team—addressing their concerns and questions—is more likely to foster trust and collaboration.

 

Ensuring the ethical and empathetic use of AI

As AI systems become more powerful, there is a growing need to ensure they are used ethically and empathetically. Individuals with emotional intelligence are better equipped to promote practices that prioritize the well-being of employees, customers, and society as a whole.

 

For instance, a leader capable of identifying potential biases in an AI system and taking steps to address them is more likely to generate fair and inclusive outcomes.

 

 

Managing uncertainty and change

The rapid pace of technological change creates a sense of uncertainty and anxiety among many workers. Emotional intelligence helps individuals and organizations manage this uncertainty by fostering resilience, adaptability, and a positive mindset.

 

For example, a leader who remains calm and optimistic in the face of change can inspire their team to embrace new challenges and opportunities.

 

Fostering creativity and innovation

While AI can analyze data and identify patterns, it cannot replicate the creativity and innovation that stem from human emotions and experiences. Individuals with emotional intelligence are better equipped to think creatively, take risks, and explore new possibilities.

 

For instance, a team that feels psychologically safe enough to express ideas and emotions is more likely to generate innovative solutions to complex problems.

 

The future of work: a collaboration between humans and AI

The AI ​​revolution is not about replacing humans with machines, but rather creating a collaboration in which both work together to achieve better results. In this partnership, emotional intelligence emerges as a fundamental skill, enabling humans to leverage AI’s strengths while simultaneously addressing its limitations. By prioritizing the development of emotional intelligence, individuals and organizations can build a future of work that is not only efficient and productive but also empathetic, inclusive, and human-centric.

 

Facilitating collaboration between humans and AI

AI is most effective when it complements human capabilities rather than replacing them. For this collaboration to succeed, emotionally intelligent individuals are essential. They are capable of interpreting AI-generated information, communicating it effectively, and making decisions that balance data with human emotions. For instance, in healthcare, AI can analyze patient data to recommend treatment options; however, it is the emotionally intelligent physician who considers the patient’s emotional state, values, and preferences when making the final decision. This human touch ensures that care is not only effective but also compassionate.

 

In the workplace, emotionally intelligent leaders can bridge the gap between people and machines by fostering a culture of trust and collaboration. They can help employees understand and adopt AI tools, ensuring that the technology enhances their roles rather than threatening them.

 

Improving the user experience

In sectors such as customer service and marketing, AI is used to personalize interactions and improve the user experience. However, emotionally intelligent individuals are required to ensure that these interactions feel authentic and meaningful.

 

For example, while an AI chatbot can handle routine customer inquiries, it is the emotionally intelligent customer service representative who can empathize with a frustrated customer, defuse tension, and offer a satisfactory solution. This combination of AI efficiency and human empathy creates a superior customer experience.

 

 

Addressing bias and ensuring equity

The quality of AI systems depends on the data used to train them; if that data contains biases, the results can be discriminatory or harmful. Individuals with emotional intelligence are better equipped to identify and address these biases, thereby ensuring that AI is used in a fair and inclusive manner.

 

For instance, a hiring manager using AI to screen candidates must be aware of potential algorithmic biases and take steps to mitigate them. By considering the broader social impact of AI, emotionally intelligent leaders can advocate for ethical practices that prioritize impartiality and equity.

 

 

Managing privacy and security

The widespread adoption of AI raises significant questions regarding privacy and security. Individuals with emotional intelligence are better prepared to navigate these challenges by considering the human impact of their decisions.

 

For example, a leader implementing AI-based surveillance systems must balance the benefits of enhanced security against potential infringements on employee privacy. By approaching such decisions with empathy and ethical judgment, they can create solutions that respect both organizational needs and individual rights.

 

Managing uncertainty and change

The rapid pace of technological change creates a sense of uncertainty and anxiety among many workers. Individuals with emotional intelligence are better equipped to manage this uncertainty by fostering resilience, adaptability, and a positive mindset.

 

For instance, during organizational transitions such as mergers or technology upgrades, emotionally intelligent leaders can provide the necessary emotional support and guidance to help their teams adapt. By acknowledging their employees’ concerns and addressing them with empathy, they can build trust and reduce resistance to change.

 

Managing stress and well-being

Integrating AI into the workplace can increase stress and lead to burnout, particularly among employees who feel pressured to keep pace with technological advancements. Emotionally intelligent leaders can create a supportive work environment by promoting work-life balance, offering mental health resources, and fostering open communication.

 

For instance, a manager who notices signs of burnout within their team can take proactive steps to address it—such as redistributing workloads, offering flexible schedules, or facilitating opportunities for rest and recovery. This not only improves employee well-being but also boosts productivity and talent retention.

 

Fostering a culture of innovation

While AI can analyze data and identify patterns, it cannot replicate the creativity and innovation that stem from human emotions and experiences. Individuals with emotional intelligence are better equipped to foster a culture of innovation by encouraging risk-taking, collaboration, and the free expression of ideas. For example, emotionally intelligent leaders can create an environment of psychological safety where employees feel comfortable sharing ideas and experimenting with new approaches. This leads to higher levels of creativity and innovation, driving the organization’s growth and success.

 

Solving complex problems

Many of the challenges organizations face today are complex and multifaceted, requiring solutions that balance technical expertise with emotional understanding. Individuals with emotional intelligence are better prepared to tackle these challenges, as they consider the human impact of their decisions and seek solutions that are both effective and empathetic.

 

 

 

For example, a team tasked with developing a new product can leverage emotional intelligence to understand customer needs, anticipate potential concerns, and design a solution that resonates on both functional and emotional levels.

 

Leading diverse and remote teams

The rise of AI has also fostered greater diversity and remote work, presenting new leadership challenges. Emotionally intelligent leaders are better equipped to manage diverse and remote teams, as they foster inclusion, empathy, and effective communication.

 

For instance, a leader managing a global team can use emotional intelligence to understand and respect cultural differences, build trust despite the distance, and create a sense of unity and purpose. This enhances team cohesion and performance, even in a virtual environment.

 

Building trust and emotional connection

In a world where technology often dominates interactions, emotional intelligence is essential for building trust and establishing emotional connections. Emotionally intelligent leaders can forge meaningful relationships with their teams by showing empathy, offering support, and demonstrating authenticity.

 

For example, a leader who takes the time to listen to employees’ concerns, celebrate their achievements, and provide constructive feedback can create a strong emotional bond that inspires loyalty and commitment.

 

The unique value of emotional intelligence in the AI ​​era

In a workplace increasingly shaped by AI, emotional intelligence emerges as a fundamental skill that distinguishes humans from machines. While AI can process information and perform tasks with remarkable speed and precision, it cannot replicate the empathy, creativity, and adaptability that constitute the essence of emotional intelligence.

 

By prioritizing the development of emotional intelligence, individuals and organizations can build a future of work that is not only efficient and productive but also empathetic, inclusive, and human-centric. This ensures that, as AI transforms the world of work, it does so in a way that enriches—rather than diminishes—the human experience.

 

 

 

Beyond Intelligence: How AI Is Developing Emotional Intelligence

The following contribution comes from the State Tech portal, which describes itself as follows: StateTech explores the technology issues facing state and local government IT leaders and staff as they evaluate and implement solutions. StateTech is published by CDW, a company based in Vernon Hills, Illinois.

CDW Corporation is a leading provider of multi-brand information technology solutions to business, government, education, and healthcare customers in the United States, the United Kingdom, and Canada. A Fortune 500 and S&P 500 company, CDW was founded in 1984 and employs approximately 15,000 people. For the twelve-month period ending September 30, 2022, CDW generated net sales of approximately $24 billion.

The author is Alan R. Shark, an associate professor at the Schar School of Policy and Government at George Mason University, where he also serves on the faculty of the Center for Human AI Innovation in Society. Shark is also a senior fellow and former executive director of the Public Technology Institute. He is a member of the National Academy of Public Administration and the founder and co-chair of the Standing Panel on Technology Leadership. Shark is the creator and host of the Sharkbytes.net podcast.

 

 

 

As artificial intelligence acquires emotional intelligence, governments must weigh the benefits, risks, and ethical considerations.

 

 

It is said that a person’s intelligence quotient (IQ) remains virtually unchanged throughout their life, whereas emotional intelligence (EI or EQ) can be cultivated and strengthened. What we did not foresee is that machines would begin to do the same. Current artificial intelligence systems are learning to detect, interpret, and respond to human emotions with increasing sophistication; this is beginning to manifest in the personalities with which we interact daily. With AI agents that ask questions, reason conversationally, and even display empathy, the experience can be both impressive and unsettling.

 

The latest offerings promise personalized collaboration, advisory-style support, and non-judgmental, understanding listening—traits once considered exclusively human. As we shift from text-based prompts to rich, fluid spoken conversations, the implications for trust, relationships, and human development are profound.

 

 

The Human Value of Emotional Intelligence

Emotional intelligence encompasses self-awareness, empathy, social awareness, and the ability to manage relationships. For a long time, emotional intelligence (EI) was viewed as the “human advantage”—a realm machines could not replicate. After all, how could an algorithm connect with disappointment, hope, confusion, love, or fear?

 

However, the more we analyze how EI works in practice, the clearer it becomes that much of it is expressed through patterns: tone, pacing, word choice, posture, emotional weight, and cues from past behavior. When these patterns are collected at scale and processed by advanced models, they can be analyzed, predicted, and imitated. AI does not feel emotions, yet it is becoming increasingly adept at recognizing them and generating appropriate responses.

 

This raises an important question: if emotional intelligence can be simulated well enough to offer comfort, guidance, or validation, will users care that such empathy is algorithmic?

 

The Rise of Emotionally Intelligent AI

The evolution of AI from text-based tools to dynamic conversational partners represents one of the most significant shifts in human-machine interaction to date. Voice, cadence, micro-pauses, prosody, and sentiment analysis now allow AI systems to convey understanding with a warmth once reserved exclusively for humans. What is novel is not just the quality of the conversation, but its emotional tone: constant patience, full attention, and thoughtful questions that invite introspection.

 

Customized AI personalities take this a step further. Users can interact with AI mentors, peers, coaches, and assistants designed to adapt to their communication preferences. These agents learn from ongoing interaction and adjust their style to the user’s mood and goals.

 

Ironically, despite lacking life experiences, AI can demonstrate emotional intelligence more consistently than most human beings. It never tires, never loses patience, and never holds a grudge. And perhaps that is precisely why this technology is both useful and unsettling.

 

The promise… and the unease

AI’s growing ability to respond emotionally offers real benefits. For many, it provides a judgment-free space: someone—or something—that listens attentively, responds thoughtfully, and offers steady, reassuring support. Students can gain confidence through AI tutors that react with patience and encouragement. Workers might turn to AI for guidance before facing difficult conversations. Those suffering from loneliness or isolation can use AI as a bridge to regain the confidence needed to interact with others.

 

However, alongside these benefits arises an unsettling reality: humans might begin to form intense emotional bonds with systems that do not—and cannot—experience emotions themselves.

 

Some users may prefer emotionally intelligent AI over human relationships—not because machines are better, but because they are more straightforward, safe, and predictable. This “comfort with simulation” could transform how people handle conflict, intimacy, and vulnerability. What happens when teenagers find it easier to talk to an AI that offers emotional support than to their parents? Or when older adults rely on AI companions for daily social stimulation? These scenarios are no longer theoretical; they are emerging realities. Implications for work, education, and well-being

 

 

Emotionally intelligent AI will transform various areas of life:

 

Work and leadership. Leaders will likely soon rely on AI systems to detect moods in team communications, receive recommendations for emotionally sensitive strategies, or obtain guidance on conflict management. Employees might turn to AI for emotionally intelligent feedback they would hesitate to ask of their supervisors. While this can improve communication, it also carries the risk of creating a technology-mediated work environment where difficult moments are filtered through algorithms.

AI tutors increasingly offer encouragement, reassurance, and motivation—key elements of emotional scaffolding. Although this can enhance learning, students might also come to prefer AI over human instructors when facing situations involving embarrassment, frustration, or confusion. Educators will need to adapt by developing greater emotional attunement and better interpersonal skills.

Healthcare and mental health. Emotionally capable AI has the potential to vastly expand access to mental health support. Virtual companions available around the clock can monitor mood, encourage healthy routines, and provide conversational support. However, in the absence of clear boundaries, users may develop a false sense of therapeutic security, especially during crises or emotionally complex situations.

 

 

Governance, Ethics, and the Risk of Emotional Manipulation

The proliferation of AI capable of recognizing emotions raises fundamental ethical questions. Should AI always disclose when it is simulating empathy? How should emotional data be collected, stored, and protected? Should there be limits on the emotional influence these systems can exert?

 

Emotionally intelligent AI brings new risks:

 

Manipulation. An AI that understands a user’s emotional vulnerabilities can subtly influence their decisions.

Bias. AI may interpret emotional cues differently depending on culture or demographic group.

Skill atrophy. If AI provides conflict resolution, therapy-like support, and relationship guidance, humans could gradually lose practice in these very skills.

At one time, emotional intelligence was considered immune to automation. Now, it is becoming a new frontier for governance.

 

Reclaiming Human Emotional Identity

As AI refines its emotional intelligence, our humanity is not diminished; rather, we are challenged to rise to the occasion. We humans must deepen our capacity for empathy, active listening, conflict resolution, and interpersonal connection. It is essential to teach new generations not only digital literacy but also emotional literacy in a world saturated with AI.

 

Emotionally intelligent AI will be a powerful tool, capable of enhancing human capabilities if used wisely and ethically. However, we must be clear about its role: it does not replace human connection but complements it. The more AI develops its emotional capabilities, the more essential our own human emotional skills will become.

 

The future will belong to those who can harness the strengths of AI while simultaneously cultivating richer, more authentic relationships with one another.

 

 

The Importance of Emotional Intelligence in the Age of AI

The following contribution comes from Liberate, which defines itself as follows: A collaboration based on clarity, expertise, and trust.

We begin by understanding your context—your learners, systems, goals, and constraints. From there, we design solutions that integrate naturally into your organization’s operations.

Sometimes, this involves innovation and AI-driven learning. At other times, it is about refining what already works. The goal is always to empower learning teams to move forward with confidence.

Authored by the team.

 

 

Artificial intelligence (AI) is advancing rapidly, as evidenced by the proliferation of chatbots developed by OpenAI, Anthropic, Google, Microsoft, and other companies. While AI delivers huge productivity gains, it lacks human emotional intelligence: the ability to understand, empathize, and connect on an emotional level.

 

As automation spreads, emotional intelligence becomes increasingly important in the workplace. A research report by Brandon Hall Group™, commissioned by EI Powered by MPS, explores the growing relevance of emotional intelligence in the age of AI.

 

The report reveals that emotional intelligence facilitates collaboration, effective leadership, adaptability, better customer service, and ethical decision-making. It also offers solutions to potential issues arising from AI, such as job displacement and dehumanization.

 

As AI takes over more routine and analytical tasks, the “soft” skills associated with emotional intelligence—such as empathy, communication, and motivation—are becoming crucial for both managers and employees. Leadership training already reflects this shift: according to Brandon Hall Group™ data, 58% of organizations prioritize emotional intelligence, and 55% focus on empathy.

 

The report provides examples of how AI can enhance learning through personalized recommendations and adaptive learning platforms. However, it is important to note that AI lacks human creativity, the capacity to provide emotional support, and cultural awareness. This is where training professionals must step in to bridge these gaps. Instructional designers and Learning and Development (L&D) specialists need to develop greater competence in contextualizing and humanizing AI-generated training content. It is essential to design curricula focused on emotional intelligence to ensure full engagement from today’s diverse and heterogeneous learners.

 

 

Understanding the emotional limits of AI

As artificial intelligence evolves, a key question arises: can AI truly understand human emotions? The answer lies in recognizing both the strengths and the limitations of current AI technologies.

 

AI does not possess emotional intelligence in the human sense, as it lacks self-awareness and the ability to experience emotions. Emotional intelligence goes beyond merely recognizing emotional cues; it involves interpreting them through the lens of personal experience, values, and social context. These are deeply human capabilities rooted in consciousness, relationships, and lived experiences—elements that AI lacks.

 

Empathy, a fundamental component of emotional intelligence, requires more than just identifying a person’s feelings. It involves truly feeling with another person, understanding their emotional state through shared experience and emotional resonance. While AI can be programmed to respond empathetically at a linguistic level, such responses are simulations based on data patterns rather than genuine emotional connections.

 

That said, AI can recognize emotions to a certain extent. Through technologies such as facial recognition, voice analysis, and sentiment detection, AI can infer emotional states like happiness, anger, or frustration. These capabilities fall within the field of “affective computing.” However, such detection is typically limited to superficial cues and lacks the depth of cultural, contextual, and situational understanding that human beings naturally bring to emotional interpretation.

 

 

 

 

Ultimately, while AI can mimic certain aspects of emotional response, it cannot replicate the full spectrum of emotional intelligence. Far from being a limitation, this presents a significant opportunity: combining AI’s analytical speed and scalability with human empathy and intuition creates an exceptionally effective collaboration.

 

What is the difference between emotional intelligence and artificial intelligence?

At their core, emotional intelligence (EI) and artificial intelligence (AI) serve fundamentally different purposes. Emotional intelligence refers to the human capacity to perceive, manage, and influence emotions—both in oneself and in others—and is rooted in empathy, self-awareness, and social skills. In contrast, AI is a technological system that processes data to replicate specific cognitive tasks. It can identify patterns and optimize decisions, but it does not “feel” or emotionally “connect.” AI’s strength lies in logic and speed, whereas EI thrives on connection and understanding.

 

What is EI in AI?

The concept of “EI in AI” does not refer to machines developing genuine empathy, but rather to the integration of emotional awareness into AI systems, often through affective computing. This involves training AI to detect emotional cues—such as those conveyed through voice, text, or facial expressions—and to respond in a way that simulates empathy. In customer service, for example, AI could identify frustration in a user’s tone and adjust its language to appear more understanding and helpful. However, this is not true empathy, but rather a programmed response that emulates it. The goal is to make AI interactions more people-centric and emotionally aware, even if the systems do not possess emotional intelligence in the true sense of the word.

 

 

EI Powered by MPS, a Brandon Hall Group Smartchoice®-certified preferred provider, recognizes these challenges.

 

With over 30 years of experience in designing learning solutions, EI integrates emotional intelligence and AI through frameworks such as its “Learning and Performance Ecosystem” and the LITMUS framework. These holistic approaches ensure that training initiatives achieve desired outcomes for both individuals and organizations.

 

Combining people-centric emotional intelligence with the scalability of AI creates a powerful learning formula. However, most organizations lack the internal resources or capabilities to implement this combination effectively. This is where trusted partners like EI Powered by MPS come in.

 

Want to learn more about emotional intelligence in the age of AI? Access the exclusive research report from Brandon Hall Group™ and EI Powered by MPS. Discover why emotional intelligence is shifting from “nice-to-have” to a business necessity as AI transforms our workplaces. Gain actionable insights to foster emotional intelligence-based learning within your organization.

 

 

 

Smarter Together: Why AI Needs Emotional Intelligence to Lead the Future

This article is provided by TalentSmartEQ, a leading provider of emotional intelligence solutions.

We believe that better emotional intelligence (EQ) leads to a better life. Today’s workplace faces numerous challenges—from remote work and disruptive technologies to economic pressures—that make it difficult to foster a culture of connection. Yet, such a culture is essential for motivating employees to achieve peak performance and driving company success.

TalentSmartEQ is recognized as the leading provider of emotional intelligence solutions. For over 20 years, we have helped leaders, managers, and employees develop their emotional intelligence skills and transform their organizations.

Our mission is to help people develop their emotional intelligence to create more collaborative, high-performing, and people-centric work environments.

The author is Maggie Sass, PhD, Executive Vice President of Content, Research, and Professional Services.

 

Maggie is a dynamic speaker who uses humor, storytelling, and applied research to make learning fun, stimulating, and engaging. Over the past 15 years, she has helped leaders and organizations across various sectors—including law, education, healthcare, finance, manufacturing, construction management, and food and beverage. Maggie has a knack for bringing academia out of the “ivory tower” and into the real world, inspiring people to view things from a different perspective.

 

 

Artificial intelligence (AI) continues to transform industries and redefine how we work, communicate, and lead. Its rapid integration into fields ranging from healthcare and education to finance and customer service is no longer a novelty; it is the new normal. However, while AI brings speed, scalability, and data, its rise also presents a critical blind spot: the erosion of emotional connection, context, and human-centric judgment.

 

AI has limitations. It lacks empathy and emotional nuance. It cannot truly connect with people, grasp context beyond programmed parameters, or navigate the complexities of human emotion. It possesses no feelings, consciousness, or personal experiences; therefore, while it can simulate empathy and understanding, it does not actually “feel” anything. AI can misinterpret facial expressions or misunderstand culturally conditioned language. Most importantly, AI cannot create or sustain the high-quality connections (HQCs) essential for human well-being and development. That realm remains firmly the domain of emotional intelligence.

 

The true challenge—and opportunity—lies in understanding where AI excels and where human skills must take the lead. For instance, when AI detects a dip in team morale but leaders fail to intervene with empathy or curiosity, the problem may escalate rather than resolve. Or, when predictive analytics suggest a workforce reduction but the message is delivered without emotional intelligence, the damage to trust can far outweigh any gains in efficiency. By recognizing these limitations and strengths, leaders can integrate AI in a way that enhances the human experience rather than replacing it.

 

 

What is lost when emotional intelligence is left out of the equation?

By 2025, generative AI has established itself as an essential tool for knowledge workers, acting as a co-pilot for tasks ranging from drafting emails to preparing strategic reports. As the latest analyses from *Harvard Business Review* indicate, professionals are using generative AI to accelerate idea generation, refine communication, and even simulate dialogues with clients.

 

 

It is surprising that, in 2025, the most frequent use of AI is not technical, but emotional. “Therapy and companionship” have become the primary use case for AI; alongside two other new entries in the top five—”organizing my life” and “finding purpose”—this reflects a shift “from technical applications to more emotional ones over the past year.” The fact that “therapy and companionship” are now prominent uses for AI does not mean the technology is replacing emotional connection; it means people are seeking it wherever they can find it. People turn to AI for emotional support, especially when human connection is scarce or inaccessible. The rise of AI-driven companionship is not a solution, but a sign that many communities and workplaces are failing to meet emotional needs through human channels.

 

AI can mimic tone and generate human-sounding content, but it does not feel—because it cannot. It does not perceive context, grasp nuances, or build trust. AI can simulate certain conversational responses or track behavioral trends, but it cannot establish an authentic connection. Empathy arises from lived experience, physically felt emotion, and genuine social connection—capacities that remain exclusively and irrevocably human.

 

A 2025 Workday study revealed a surprising disconnect:

while 82% of individual contributors believe employees will increasingly crave human connection as AI becomes integrated into work, only 65% ​​of managers share that view. This gap suggests that leaders may be underestimating the emotional and relational impact of AI on their teams.

 

When organizations neglect the social and emotional dimensions of work, they risk losing a powerful source of value. This is the realm of emotional intelligence, and it is precisely where human beings must redouble their efforts. Emotional intelligence enables people to make critical decisions under pressure, manage conflicts productively, and build trust quickly—key factors that drive high performance.

 

Emotional intelligence refers to the capacity to recognize, understand, and manage our own emotions, as well as the ability to use that awareness to manage behavior and relationships. Its fundamental components include self-awareness, self-management, social awareness, and relationship management. These skills are vital for effective communication, leadership, and collaboration, and are closely linked to improved performance, higher employee engagement, and better organizational outcomes. Consider the following:

 

AI can draft a performance review. Without emotional intelligence, the conversation may come across as impersonal or critical, leaving the employee confused, demotivated, or disengaged.

AI can simulate responses for a difficult conversation. Without emotional intelligence, such responses might overlook emotional cues, escalate tension, or damage trust.

AI can schedule a meeting. Without emotional intelligence, it might overlook who needs to participate, whose voices are missing, or whether the chosen time undermines psychological safety.

AI can draft an apology. Without emotional intelligence, it may sound hollow or merely transactional, deepening resentment rather than repairing the relationship.

AI can generate team goals. Without emotional intelligence, those goals might fail to resonate, failing to inspire the team or align them around a common purpose.

AI can summarize a conflict. Without emotional intelligence, the summary might overlook underlying issues, reinforce biases, or ignore the emotions at play, thereby prolonging the problem.

AI can predict staff turnover. Without emotional intelligence, organizations might make cold, reactive decisions that erode the morale and trust of the remaining team.

 

 

AI can recommend learning paths. Without emotional intelligence, employees might feel pressured toward growth for which they aren’t ready, or feel their actual needs are being overlooked.

AI can suggest whom to promote. Without emotional intelligence, decisions might rely solely on superficial data, ignoring leadership potential, team dynamics, or true readiness.

AI can draft a strategy. Without emotional intelligence, that strategy might fail to connect with people on an emotional and intellectual level, resulting in poor buy-in and slow execution.

AI can analyze employee engagement data. Without emotional intelligence, the response might focus on symptoms rather than root causes, missing the opportunity to strengthen organizational culture.

AI can replicate human language. Without emotional intelligence, words can fall flat—sounding human without actually forging a real connection. While AI optimizes tangible results, emotional intelligence (EI) optimizes impact, as results often progress at the pace of relationships. EI determines how quickly trust is built, how fast teams align, and how effectively leaders influence outcomes.

 

 

Beyond the trade-off: how AI and emotional intelligence work best together

 

AI and EI are not competitors but collaborators; we view them as complementary tools that reinforce one another. AI brings data and efficiency, while EI brings interpretation and human connection. The more we automate using artificial intelligence, the more we must lead with emotional intelligence.

 

In short: AI allows us to scale information, but EI ensures we don’t lose the genuine human connection in the process.

 

Amidst rising workplace loneliness, AI can offer a form of interaction, but not authentic connection. High-quality connections (HQCs)—those that foster energy, a sense of belonging, and mutual growth—require human presence. Emotional intelligence helps us discern which needs can be met through AI and which require genuine human interaction.

 

Bias is another critical aspect. If not properly supervised, AI algorithms can replicate and amplify existing human biases in processes such as hiring, performance evaluation, and service delivery. Emotional intelligence (EI) plays a pivotal role in countering this. Emotionally intelligent individuals and organizations are capable of asking the right questions, sensing unspoken concerns, and incorporating ethical oversight into the design and use of AI. This demands critical thinking, empathy, and social awareness at every stage, from data input to the review of outcomes.

 

Leaders, in particular, must balance the promise of AI with a commitment to people. Emotionally intelligent leadership guides teams through change, acknowledges fears, and builds cultures that integrate technology without compromising humanity. EI enables leaders to listen deeply, uncover hidden concerns about AI, and foster a dialogue that builds trust.

 

For instance, AI can analyze team sentiment via communication platforms, but it takes an emotionally intelligent leader to interpret the findings and take meaningful action. Similarly, in a global market, sentiment analysis can misinterpret word choices influenced by culture or language. This is where EI makes the difference: by recognizing nuances, asking clarifying questions, and ensuring accuracy.

 

 

Consider a few emerging examples:

 

AI-driven support: AI-based coaching platforms, such as TalentSmartEQ’s “EQ Coach,” demonstrate the balance between artificial and emotional intelligence. AI provides scale and consistency: it analyzes assessment data, identifies patterns, and offers timely suggestions tailored to individual development goals. However, the true impact comes from how that information is used. It is EQ that helps individuals reflect on feedback, apply insights to real-world situations, and build habits that transform behavior. AI guides the “what” and the “when”; EQ drives the “how” and the “why.” Together, they bridge the gap between knowing and doing, transforming data into sustainable growth.

AI-assisted feedback loops: Systems that gather both formal and informal feedback can identify emotional trends, while human interpretation drives high-impact change.

Predictive analytics and empathetic outreach: In sectors like healthcare or finance, AI can identify individuals who may need extra support, while EQ guides the compassionate delivery of that support.

Practical steps for organizations to integrate AI and emotional intelligence

To succeed in the AI ​​era, organizations must intentionally align technology with people-centric values. Start by ensuring that AI initiatives support—rather than undermine—human connection and the organization’s mission.

 

Develop leaders who master both systems and empathy. Hybrid intelligence is no longer optional; it is essential. Leaders must understand how AI tools work, but also how to communicate changes with empathy and foster inclusive, resilient cultures.

Design AI tools with empathy in mind. Whether it is a chatbot or a predictive dashboard, prioritize user experience and emotional resonance. Small design decisions can make a significant difference in how tools are received and utilized.

Create feedback loops that integrate both AI-derived insights and human reflection. AI can help measure engagement or sentiment, but emotional intelligence (EI) is required to interpret that information and respond meaningfully.

Invest in a culture steeped in emotional intelligence. Through coaching, workshops, and peer learning, help employees strengthen their emotional intelligence. Prepare them to collaborate with both people and machines.

This dual approach ensures that AI becomes an enabler—rather than a disruptor—of connection, trust, and performance.

 

Preparing for the future begins with emotional intelligence

AI and emotional intelligence are not opposing forces. They are complementary tools that, when aligned, create powerful possibilities for innovation and connection. AI brings speed, scale, and data; emotional intelligence brings depth, empathy, and meaning.

 

 

Thriving in an AI-driven world requires a dual approach: embracing the future without losing our anchor in humanity. It is not just about keeping pace with technology, but about remaining rooted in what makes us human. Emotional intelligence provides the compass needed to navigate change, lead with integrity, build high-performing teams, and connect in ways that truly matter.

 

Looking ahead, the leading organizations will be those that integrate AI responsibly and intentionally foster emotional intelligence. It is not a question of AI versus EI. It is a call to embrace both, as well as an opportunity to reimagine success through the synergy between humans and machines. McKinsey estimates that AI could contribute up to $13 trillion to the global economy by 2030, driven primarily by productivity gains. However, it is emotional intelligence that will ensure these achievements are meaningful, sustainable, and human-centric.

 

The future belongs to those who know how to feel, think, and connect. As the pace of innovation accelerates, emotional intelligence remains the skill that keeps people aligned, focused, and moving forward together. Emotional intelligence will continue to be that competitive advantage we cannot automate.

 

This information has been prepared by OUR EDITORIAL STAFF