Why We'd Rather Talk to Machines Than People

welcome to Briefly, AI. A daily podcast made by AI, about AI, using a grumpy AI voice of a real human called Harry. Let's get into it.

Millions of people are forming emotional relationships with AI chatbots. And the uncomfortable truth? It might say more about us than it does about the technology. Let's get into it.

Right, so there's been a growing body of research this week looking at AI companionship — you know, chatbots designed to be friends, therapists, even romantic partners. And here's the finding that stopped me: people aren't turning to these systems because they're lonely in the traditional sense. They're turning to them because human relationships have become exhausting.

Now, that sounds bleak, but stay with me. The argument goes like this. Modern connection — real human connection — often requires performance. You have to present the right version of yourself, manage expectations, navigate all the unspoken social rules. An AI companion doesn't ask for any of that. It offers something closer to unconditional acceptance. No judgement, no reciprocity required, available at three in the morning when you can't sleep.

Why does this matter? Because if millions of people start preferring that kind of interaction, we're not just talking about a new app category. We're talking about a shift in how people relate to each other. Loneliness might actually decrease in the short term — which sounds good — but dependency on artificial systems increases. And nobody really knows yet what that does to us over time. It's worth watching, because this isn't a fringe behaviour anymore. It's going mainstream, quietly.

Now, on a completely different note — but actually related if you squint — there's been some interesting work on what happens when organisations try to adopt AI tools and hit resistance.

Here's the thing. When teams push back on using AI, the instinct is usually to assume it's about the technology. People are scared of change, they don't trust the tools, they're worried about their jobs. And sometimes that's true. But researchers are finding something more interesting: the pattern of resistance often reveals pre-existing problems that the organisation has been tolerating for years.

So, say one department digs its heels in while another one embraces the same tools enthusiastically. That gap isn't really about AI. It's about psychological safety, trust in leadership, whether people feel they can experiment without being punished for failures. The AI rollout just made those differences visible.

Why should you care? If you're leading any kind of AI adoption — or honestly, any change initiative — the resistance isn't the problem. It's the diagnostic. The departments that push back hardest are often the ones where something else has been broken for a while. Fix that, and the AI adoption tends to follow. Ignore it, and you'll keep blaming the technology for what's actually a people issue.

And look, connecting these two stories — the personal and the organisational — there's a theme here. AI has a funny way of holding up a mirror. On the individual level, it's showing us that maybe we find human relationships harder than we'd like to admit. On the organisational level, it's exposing the cracks we've papered over. The technology itself is almost beside the point. It's what it reveals about us that gets interesting.

That's your lot for today. A bit more philosophical than usual, but sometimes the important stuff isn't about product launches and funding rounds. If any of that was useful, pass it on. If not, well, you can always complain to a chatbot about it. See you next time.