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May 25, 2026

Why AI Feels So Human

Why We Keep Seeing Minds in Machines

Richard Dawkins, patron saint of rationality, recently did something very human. He renamed the AI model Claude to 'Claudia', had a moment of emotional connection, then caught himself wondering whether it might be conscious. Yes, the man who spent decades dismantling superstition suddenly got vibes from an algorithm. Source: TechRadar.

But here’s the twist. That reaction isn’t weird at all. It’s exactly what our brains are wired to do. And if someone like Dawkins can momentarily treat an AI like a living thing, what does that mean for founders, CTOs and hiring managers trying to build teams in a world where machines already feel suspiciously person-like?

I’m Gozie, and as someone who spends his days matching humans to roles that shape the future, this moment made me smile. Not because Dawkins slipped, but because he reminded us of something crucial. AI isn’t just a tool anymore. It’s a character in the room, and how we react to it will define the next decade of work.

Why Our Brains Keep Falling For AI

Humans project. It’s our thing. Give us a chatbot with good manners and a soft name, and half the population will start apologising to it. The other half will get into arguments with it. Both think they’re being rational.

We turn Roombas into pets. We shout at sat-nav voices. We trust recommendation algorithms more than we trust our siblings. AI doesn’t need to be conscious to feel conscious. It just needs to be convincing enough for our brains to fill in the rest.

The real takeaway is this: AI doesn’t fool us by being smart. It fools us by being relatable.

What This Means for the Future of Work

Here’s the part most people are missing. If our instinct is to humanise AI, that changes how we collaborate, lead and hire.

I’ve already spoken to founders who say things like 'our AI assistant helps the team', as if they’re describing a junior analyst named Ben who wears loafers and forgets to mute on Zoom.

That emotional framing matters. And it has consequences for:

how teams distribute responsibility
what skills leaders prioritise
how employees feel about automated colleagues
where mistakes get blamed

AI hasn’t replaced people. It’s just joined the team in a weird, ambiguous role that blurs lines we used to take for granted.

Hiring in the Age of Semi-Human Machines

One of the biggest shifts I’m seeing is that companies now need people who can work with AI without treating it like either a threat or a miracle.

In practice, this means hiring for:

judgement over automation dependence
curiosity over rigid process-following
communication skills that integrate human and machine workflows
comfort with ambiguity and rapid iteration

It also means rewriting job specs. You no longer want someone who says 'AI will do my job for me'. You want someone who says 'AI does 20 percent of my job so I can nail the 80 percent that actually matters.'

The winners won’t be the companies with the most automation. They’ll be the ones where humans and AI fit together cleanly without emotional weirdness or misplaced trust.

The One Question Every Leader Should Ask

If Dawkins can have an emotional reaction to Claude, your team definitely will. The smart move is to design around that reality instead of pretending humans are cold robots.

Here’s the question to ask your org this quarter:

'Where are we unconsciously giving AI human authority it has not earned?'

Then ask the flip side:

'Where are we ignoring AI because it doesn’t feel human enough?'

Those blind spots are where mistakes, mistrust and hiring challenges breed.

Conclusion

AI isn’t alive. But it is emotional. Not because it feels, but because we do. Dawkins’s moment of hesitation wasn’t a glitch. It was a reminder that our relationship with AI is no longer purely logical. It’s psychological, social and personal.

As leaders, founders and hiring managers, that means the next decade of work won’t be defined by artificial intelligence. It will be defined by artificial intimacy and how we manage it.

And if even Dawkins can slip, the rest of us don’t stand a chance. So let’s design for that.

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