We had 1.1 million readers in the last 30 days and added more than 21,000 new subscribers.
For a Substack publication, this is a very big number. We are also continuously rising among the top publications in Technology.
But this growth is not random.
Before we publish anything, our team spends a lot of time researching it, testing it, trying it and understanding whether it can actually help someone.
Our whole idea behind Emerging AI is very simple:
If you spend 10 minutes reading one of our guides, you should finish it with something in your hand.
Maybe your first AI Agent.
A Claude Skill.
A useful workflow.
A setup you can copy.
Or even a complete blueprint for making money with AI.
That is how we decide whether an article is worth publishing.
We research it. We test it. We try the tools ourselves. We look at what actually works. Then we simplify everything and turn it into something you can use.
I think this is one of the main reasons people pay for these guides, why 1.1 million readers came here in one month, and why Emerging AI keeps growing on Substack.
There is also one rule I strongly believe about learning AI:
Learn AI with the newest AI.
This technology changes ridiculously fast. Models improve, tools change, and completely new ways of working appear within weeks. Learning AI from old models and old workflows can sometimes mean learning something that is already being replaced.
So most of what we publish is built around what is happening right now.
Below are a few of our top-selling guides from just the last 10 days. They are fresh, based on the latest models, tools and workflows, and none of them was written around outdated AI trends.
This one started with a strange shift I kept noticing: companies have powerful models, but they desperately need people who know how to make those models actually work inside a business.
That is creating an entirely new career path.
People are using the front door and ignoring the entire house.
This course moves from Claude Chat to Projects, Memory, Skills, Cowork, Claude Code, Connectors, tools, agents and automation through five very simple levels.
The whole point is to take somebody from their first Claude conversation to giving Claude complete pieces of work.
This sounds crazy until you see the size of the opportunity. I explained how people can start building around the GTA VI information rush before the game even launches.
This is about turning a local model into your own private AI system with memory, tools, agents and loops. A model running on your own hardware does not send you another API bill every time it thinks.
So this guide shows how to turn a local model into something much bigger
That is basically what we want Emerging AI to be.
You read something here, close the article, and actually go do something with it.
1.1 million readers found us in the last 30 days.
21,000 decided to stay.
So now we have an even bigger responsibility:
make the next guide worth their 10 minutes.
Opinion AI covers AI tools, news, and the real-world stuff that actually matters.
