Will AI Replace Emotional Intelligence in Digital Marketing?

Written by Paulina Wasiak, Founder of DMalip
Digital marketing strategist specialising in H2H (Human-to-Human) marketing.

Read time: about 5 minutes.

In Part One of this series, Will Digital Marketing End Because of AI?, we explored creativity and asked whether, in a world increasingly shaped by artificial intelligence, we risk losing touch with the very source from which our ideas emerge. This time, we want to explore another element that we believe is fundamentally human and plays a key role in digital marketing: EMOTIONAL INTELLIGENCE.

AI can analyse customer behaviour, identify patterns, predict preferences, personalise communication, and automate interactions. It can help us understand what people click on, what captures their attention, and what might encourage them to take action. These capabilities are changing the way we approach digital marketing, and there is no doubt that they can be valuable.

But here is a question worth asking: Does understanding patterns mean understanding people?

Emotional intelligence is commonly associated with the ability to recognise, understand, and manage our own emotions, as well as recognise and respond to the emotions of others. Salovey and Mayer introduced an influential framework for emotional intelligence in 1990, and Daniel Goleman later helped bring the concept into wider public discussion.[1]

Yet emotional intelligence is not simply about recognising that someone is happy, frustrated, or disappointed. It also involves how we interpret emotional situations, respond to others, and navigate relationships. And if we were all able to fully understand our own emotions, would the world be a more peaceful place? Would understanding ourselves help us understand others? As above, so below.

The words we hear and the things we don’t say.

Human communication is much more complex than the words we choose. Verbal communication includes not only language but also how we speak: our tone, pace, emphasis, and pauses. Non-verbal communication can include facial expressions, gestures, posture, eye contact, and other physical signals.

Think about a person who says, “I’m fine.” The words seem clear enough, but their voice sounds different, their posture appears tense, or their expression suggests that something may be wrong. We might sense a difference between what is being said and what we are observing. We may decide to ask another question, give the person space, or simply listen.

Of course, we cannot assume that every facial expression or gesture reveals a particular emotion. Communication is shaped by personal experience, culture, context, and individual differences. A person who avoids eye contact may be uncomfortable, distracted, shy, or simply communicating in a way that feels natural to them. We need context before drawing conclusions.

AI systems can analyse written language, vocal patterns, facial movements, and other signals. Some systems combine text, audio, and visual information to classify emotional expressions or estimate emotional states.[2][3] This technology continues to develop, and it can help us identify patterns that might otherwise go unnoticed.

But there is an important distinction here: recognising a pattern, predicting a response, and understanding someone’s lived experience are not necessarily the same thing.

A system might identify signals associated with frustration. It might even predict which response is most likely to reduce that frustration. But how much does that tell us about what the person is actually experiencing, why they feel that way, or what they need from us in that particular moment?

Perhaps this is where the conversation becomes more interesting. Not because AI cannot contribute to emotional understanding, but because we should be careful not to confuse the ability to analyse emotional signals with a complete understanding of the human experience behind them.

What does this mean for digital marketing?

Let’s imagine that a customer visits a website several times, reads product/service reviews, adds an item to their basket, and then leaves without making a purchase. AI may be able to analyse these behaviours and predict what might encourage the customer to return. Perhaps a reminder, a personalised recommendation, or a discount will increase the likelihood of a purchase.

From a performance marketing perspective, this can be useful. We can use data to make communication more relevant, reduce friction, and help people find what they are looking for.

But what if the customer did not leave because the price was too high? What if they were unsure whether the product would meet their needs? What if they were overwhelmed by too many choices, concerned about morality, or simply not ready to make a decision?

The same behaviour can have many different explanations.

AI can help us identify patterns and test possible responses, but the meaning behind an individual’s behaviour may remain uncertain without further context. Sometimes, the right next step is not another personalised advertisement. It might be clearer information, a more honest explanation, better customer support, or no additional message at all.

This brings us to a question that matters in Human-to-Human marketing: are we trying to understand what persuades someone to buy, or are we trying to understand what that person actually needs?

There is a difference between using emotional insights to make communication more relevant and using them simply to make persuasion more effective. There is a difference between building trust and optimising a conversion. And there is a difference between treating a customer as a set of behavioural signals and recognising them as a person with their own circumstances, priorities, and boundaries.

Of course, these goals do not always conflict. A useful, relevant campaign can serve both the customer and the business. But we should not assume that what increases engagement is automatically what is best for the person engaging with us.

In H2H digital marketing, the question is not only whether a campaign works. It is also how it works, whom it serves, and what kind of relationship it creates.

And what about human energy?

Here is a question that may seem unconventional, but perhaps it is worth asking.

We sometimes describe someone as having a calming presence, bringing positive energy/aura into a room, or making us feel uncomfortable without being able to explain precisely why. We may feel at ease with one person almost immediately, while with another we remain guarded. Sometimes, we notice these impressions before we can put them into words.

These experiences can be influenced by subtle behavioural cues, our own emotional state, previous experiences, expectations, and other factors we may not consciously recognise. A person’s tone of voice, timing, facial expressions, or way of listening may affect how we feel around them, even when we cannot identify exactly what has influenced us.

But could there be more to our experience of human connection than we currently know how to measure? Can AI detect and classify every aspect of what we experience as human energy?

At present, there is no established scientific evidence that AI can reliably measure a person’s supposed energy field as a way of understanding their emotions or intentions. We should be careful not to present a feeling of energy or presence as proof of something that science has not established.

Yet the question invites us to reflect on something broader: do we fully understand the human experience ourselves, or are we trying to teach technology to understand something we have not completely understood?

Perhaps we do not need to prove that there is something beyond measurable signals to recognise that human interactions can be complex, subtle, and difficult to explain. Perhaps it is enough to acknowledge that what we can measure does not always capture everything that matters to us.

And if we do not fully understand why we connect with certain people, why some conversations stay with us, or why a particular message feels genuine while another feels empty, how confidently can we claim that a system has captured the whole experience?

Can AI replace emotional intelligence, or can it help us use ours better?

Maybe the question is not whether AI will replace emotional intelligence, but whether we will continue to value and develop our own.

Technology can help us notice patterns, explore possibilities, and communicate more effectively. It can support marketers in understanding audiences, testing assumptions, and delivering relevant experiences. It can even prompt us to reconsider what we thought we knew about customer behaviour.

But the responsibility for how we use these capabilities remains important. Data does not make decisions ethical by itself. Personalisation does not automatically create connection. And a message that sounds empathetic is not necessarily a message that reflects genuine care for the person receiving it.

We also need to be honest about our own limitations. Humans misunderstand one another all the time. We misread expressions, make assumptions, react emotionally, and sometimes listen only to respond rather than to understand. Emotional intelligence is not something we automatically possess in full simply because we are human. It is something we can continue to develop.

Perhaps AI can support that development by helping us question assumptions, consider alternative explanations, or recognise patterns in our communication. Perhaps it can give us more time to focus on the conversations and decisions that require human judgement. The opportunity is not necessarily to choose between human intelligence and artificial intelligence, but to consider how each can contribute without confusing their different roles.

At DMalip, we believe in balance. We believe in building on strong and lasting foundations. And, above all, we believe that the human should remain at the heart of digital marketing.

Because understanding people should mean more than understanding how to sell to them.

As we continue exploring the relationship between AI and digital marketing, we return to a question that connects this article with Part One: as technology becomes more capable, will we use it to strengthen our human qualities, or will we gradually allow it to define what those qualities mean?

Will the human emotional intelligence remain in this chain?

The answer is within you.

Thank you for reading.

Human-to-human. Always.

Created by imperfectly perfect humans. Speak your mind and heart.

Journey further: Will Digital Marketing end Because of AI (Part 1).

References:

[1] Salovey, P., & Mayer, J. D. (1990). Emotional Intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG

[2] Krumhuber, E. G., et al. (2023). The role of facial movements in emotion recognition. Nature Reviews Psychology, 2, 283–296. https://doi.org/10.1038/s44159-023-00172-1

[3] Zhang, S., et al. (2024). Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects. Expert Systems with Applications, 237, Article 121692. https://doi.org/10.1016/j.eswa.2023.121692

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