AI is making everything easier to create. That changes what gets attention.

We're living through a strange period. Writing has become easier, and so have images, video, code and research. Before long, almost every part of producing digital content will be dramatically cheaper and faster than it was even two years ago.

That's genuinely exciting. It also creates a new problem worth thinking about carefully. If creating content stops being hard for anyone, what becomes scarce? My guess is attention and trust, along with something harder to pin down, which is the feeling that there's an actual person on the other side of the screen.

Production used to be the bottleneck

Not long ago, a polished video needed a crew, and anyone who wanted good design had to learn specialist software or pay someone who had. Software projects started with hiring engineers. Personalized outreach at any real volume simply ate people's weeks.

AI changes that equation. We can now make more, much more quickly, and we should. There's no prize for doing something slowly and badly by hand when a tool can help you do it well. I'd be the last person to argue against these tools, since I use them every single day.

The second-order effect

The catch is that everyone else gets the same tools at the same moment. Your inbox is going to fill with better-written cold emails. Feeds will carry more polished content, and brands will run more campaigns while sales teams automate more of their outreach.

The total amount of communication competing for the same limited human attention keeps rising, but our attention doesn't expand to match it. People still have the same number of hours in a day and roughly the same patience for reading. That's where things get interesting, because when supply explodes, value moves toward whatever remains scarce.

Automation starts to cancel itself out

There's a point where another perfectly written automated email stops being impressive and simply becomes invisible. Most of us have lived through some version of this. You download a guide and within seconds you receive a message that opens with "Hey Berto! I noticed you downloaded our AMAZING guide…"

Yes, I know. I was there when it happened.

Email two arrives the next morning, and a week later you're on number seven, hunting for the unsubscribe link. The technology worked flawlessly the entire time. The relationship, meanwhile, went nowhere, and arguably went backward.

This is what happens when automation copies the form of a personal message without any of the substance. The more common those messages become, the faster people learn to spot and ignore them.

Using AI without sounding like AI

The balance I find interesting sits somewhere in the middle. Use AI to research and draft a guide, and let it speed up the workflow around it. It's excellent at that kind of work.

Then, when someone actually shows interest in what you made, behave like a person. Take a moment to look at who they are and why they might care. Send a message when you have something worth saying, and write it the way you'd talk to them if they were standing in front of you.

That approach scales less neatly than a fully automated sequence. It may also work much better, because it gives people a genuine reason to reply.

How this shaped Gluuer

Gluuer is deliberately small. It helps you turn something useful into a Magnet and collect a verified contact, with the option of a simple follow-up if you want one. It doesn't assume every new contact should drop straight into a giant automated funnel.

If your business does need that, you can export your contacts or connect Gluuer to the email platform you already use. We just believe there's room for a simpler behavior too. The optional follow-up in Gluuer is a single plain-text note from you, something like: "Saw you grabbed this. Hope it helps, and let me know if you've got questions." It's a human sentence, which has somehow started to feel unusual.

The irony of imitation

As AI gets better at imitating human communication, genuinely human communication gets easier to notice. A slightly imperfect message stands out, and so does an opinion that obviously came from lived experience.

When someone can tell that a note was written because of them, at that particular moment, it carries a weight no template can fake. Those signals are likely to become more important over the next few years, simply because they're harder to manufacture at scale.

You can already see this in small ways. A two-line reply from a founder often gets more responses than a polished newsletter, and a handwritten thank-you card feels far more special now than it did twenty years ago.

What this means for creators and small businesses

If you're a solo creator or part of a small team, this is good news. You can't outspend large companies on content volume, and now you don't need to, since volume is becoming cheap for everyone. What you can do is be specific and personal in ways a big automated operation struggles to copy.

That might mean making smaller resources that solve real problems for a narrow group of people. It could also mean replying personally to the first fifty people who download something, and paying close attention to what they tell you. Those habits don't look impressive in a growth dashboard, yet they're often what turns a contact into a client.

There's also a practical upside. When you talk to people directly, you learn what they actually need, and that feeds straight back into the next thing you make. An automated sequence rarely gives you that kind of insight, because nobody writes back to a robot.

Ride the wave, carefully

None of this is an argument for ignoring AI. We should absolutely ride this wave. It's one of the biggest shifts in technology most of us will ever see, and sitting it out would be a mistake. Test ideas faster, and build the thing you've been putting off.

We should just be careful about automating every human moment simply because it's possible. The creators and companies that stand out over the next few years will probably be the ones who understand both sides, using machines for scale while letting people handle the connection. Getting that balance right is going to matter a lot.