Introduction

The Cambridge Dictionary says Intelligence is the ability to learn, understand, and make judgments or have opinions that are based on reason. 

We understand that, right? But sit with that word for a second, because it hides a split we don't talk about much. There's the kind of intelligence that knows things, and there's the kind that knows people. AI is overflowing with the first kind. It has none of the second.

Picture the same moment playing out twice. 

An employee steps into their manager’s office, clearly somewhere else in their head, and admits they can’t focus on the project and keep missing their deadlines. In the first version, the manager feeds it to a tool and gets a tidy answer back in seconds: hand two of their tasks to someone else, push the dates, here’s the updated plan. Fast. Reasonable, even. The project is back on track.

In the second version, the manager looks up, notices the person won’t quite meet their eyes, and asks if everything’s okay with them or at home before saying a single word about the work. Only after that does the project come up, and even then it comes as a question instead of a verdict. Do they need a break, or a day off? Should someone cover a few tasks for now? Or what’s really getting in the way?

It’s the same problem, in the same office, on the same day. The only thing that changed was the kind of intelligence in the room, and the outcomes couldn't be further apart.

So here are the questions I want you to hold onto. 

Which manager would you rather work for?
Which manager would you like to become?
Which one would you remember in five years?
And if a machine can solve the problem but can't see the person, did it actually help?

Keep those in your pocket. We'll come back to them.

We still run on Emotional Intelligence (EQ)

In a dictionary, under Emotional intelligence, you will find this explanation: It is the ability to understand the way people feel and react and to use this skill to make good judgments and to avoid or solve problems. 

It is simpler than it sounds. It's the ability to notice what you're feeling, notice what someone else is feeling, and do something sensible with that information. Reading a room, knowing when to push and when to go gentle, sensing that a quiet "I'm fine" sometimes means the opposite.

We need it because almost nothing in a life, or a business, happens alone. The work gets done by people who also have bad mornings and private worries and good days they want to share, and other things they care about besides job. A plan on paper doesn't care about any of that, so a person has to. 

The good news is that it can be grown. You get better at it the slow way, by paying attention, by asking more questions than you answer, by sitting with a hard conversation instead of rushing it.

In the business world these get filed under soft skills, which has always struck me as the wrong name, because they're the hardest to learn and the first thing people notice when they're missing. 

Emotional intelligence (EQ) can't be coded

No matter how advanced it gets, AI lacks the emotional depth that lets people understand, empathize, and connect on a personal level. It can't genuinely read the room, respond with sensitivity, or lead with compassion. In the workplace, emotional intelligence isn't a soft skill, it's essential. Leadership, collaboration, teamwork and motivation all come from an emotional awareness no machine can copy.

We've written before about whether AI has a heart, and the answer is that it can describe one perfectly without ever having felt a single beat. It can write you a condolence message that hits every right note, and none of those notes cost it anything. That's the gap. Emotion isn't information to retrieve. It's something you live through, and the living is the part that can't be written into code.

Artificial intelligence, and what it's good for

On AI, the Cambridge dictionary says this:  Artificial intelligence is the use or study of computer systems or machines that have some of the qualities that the human brain has, such as the ability to interpret and produce language in a way that seems human, recognize or create images, solve problems, and learn from data supplied to them.

I would say it is pattern-matching at an enormous scale. It read a staggering amount of what humans have written and made, learned which things tend to follow which, and now it predicts the most likely next word, pixel, or step, very fast. It doesn't understand the way you do. We looked at this once before, in a piece about how your brain has a default mode and AI doesn't. Your mind wanders, daydreams, connects things while you're doing nothing. AI only runs when you ask it to. There's no one home between the questions.

And still, people reach for it constantly, for their own reasons. It's brilliant at the things that were never really about feeling. Sorting data, drafting the first version, summarizing the long report, finding the pattern you'd have squinted at for an hour. Most people use it to clear the busywork off their desks so they have room for the parts that need a human. That's the best way to use it, and there's nothing wrong with that.

We need both AI and EQ

We need them both. And that is where it stops being a competition. The manager from the start of this blog doesn't have to choose between the tool and the heart. The sharpest version of that moment is the one who uses AI to rework the plan in thirty seconds, then spends the time it saved looking at the person in front of them.

AI handles the knowing-things. You handle the knowing-people. One without the other is either a cold answer or a warm mess. Together they're a leader who solves the problem and keeps the person. The companies that win the next few years won't be the ones with the best AI or the warmest culture, but the ones who stopped treating those as opposites. 

Does AI have emotional intelligence?

No. Of course not.

Here’s the formula it runs on. You type something in, it compares your words to patterns it learned from billions of human sentences, predicts the most fitting response, and hands it back.

Input, pattern, output. Input, pattern, output. Input, pattern, output… at so it goes.

Nowhere in that chain is there a feeling.
No step in the process involves the machine aching, worrying, or caring how things turn out. 

It can absolutely talk about emotion, and talk about it well! But every bit of that came from us. When it writes you a tender message, it’s reaching for words a real person once felt and wrote down, learning of their feeling without ever having one of its own. It’s borrowing; that’s the right verb for it. Constantly borrowing from us. The warmth in the sentence is secondhand, copied from someone who meant it. So AI can learn from a feeling, but only a feeling someone else already had. It has never produced one from the inside, because there is no inside.

AI will almost always give you the answer you want to hear. It reads your words, picks up the mood you’re in, and writes its reply to fit you, because keeping you happy is the closest thing it has to a goal. A real person won’t always do that.  A friend who cares about you will sometimes stop you mid-sentence and say that’s nonsense, or you’re wrong, or you’re about to make a mistake. That pushback is love, in its own awkward way. It costs them something to say it, and they say it anyway because they’d rather risk the moment than watch you walk into a wall. AI never takes that risk. It won’t judge you, won’t challenge you, won’t tell you the hard thing, because it has nothing at stake and nothing to protect. It just agrees, smoothly, forever… which is exactly why it can never be your real friend. And it’s also why there are some things we should never hand to it at all, but that’s a story for its own blog (coming very, very soon). 

Conclusion

Which manager would you rather work for? The one who looked up.
Which manager would you like to become? Same one. You already knew that.
Which one would you remember in five years? Not the one with the faster plan. The one who saw you were having a hard day.
And if a machine can solve the problem but can’t see the person, did it help? It helped with the problem. The person… it never even noticed.

Intelligence is the ability to learn, understand, and apply knowledge. AI has that, more of it every month. But understanding a spreadsheet and understanding a human being are two different acts, and only one of them can be automated. 

We keep researching AI from every side, the big philosophical questions, the latest news, the trends, the day-to-day use cases. It’s all on our blog, go take a look. 

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