I Haven't Been Writing About AI Lately—What Comes After “AI Is Amazing”

Recently, I noticed something while looking at my YouTube home page.

Not long ago, it was filled with videos proclaiming that “the latest AI is incredible” or “this AI tool will transform your work.” Now, almost everything it recommends to me is about Buddhism, Zen, or meditation.

Apparently, the YouTube algorithm notices when you are getting tired of something before you do.

Come to think of it, I have barely written about AI on this blog lately either.

It is not that I have stopped using AI. I use it almost every day at work, and I still follow new models and tools.

And yet, I no longer write about it.

I think I have simply grown tired of talking about how impressive AI itself is.

How Many Times Have We Repeated the “This New AI Is Amazing” Cycle?

A new model is released. Its performance improves. It becomes better at coding. Agent capabilities are added.

YouTube and social media then fill with claims that it is revolutionary, that jobs will disappear, and that anyone who does not use it will be left behind.

A few weeks later, the same cycle begins again with the next model.

The technology is, of course, advancing. I can feel the improvement because I use it in my work.

But from a user’s perspective, most of what can be said has already been said.

“It can even do this now.” “It is smarter than before.” “It makes work faster.”

How many times have we heard these things?

It would be different if I were researching AI itself. But I am not an AI researcher. I am someone who uses AI to build systems.

That is why the focus of my interest has also changed.

What Happens After AI Enters a Real Workplace Is More Interesting Than AI Itself

What interests me now is not the question, “What can this AI do?”

It is the question, “What happened when we introduced this AI into a real project?”

Actual software development is not as polished as an AI demonstration video.

There are existing systems, budgets, deadlines, security restrictions, and changing customer requirements. The data is not clean either.

Even if AI writes the code, the project does not complete itself.

What happens next is far more interesting.

When we delegated work to AI, where did it fail? What should humans review? Once development became faster, what became the next bottleneck? Why can an organization fail to adopt something that is technically possible?

And ultimately, who takes responsibility?

These questions are far messier than a story about trying the latest AI.

But this is probably where the real work begins.

“We Used AI” Will Stop Being News

When a new technology first appears, its mere existence is newsworthy.

The internet is amazing. Smartphones are amazing. The cloud is amazing.

Once the technology becomes widespread, however, its use alone no longer surprises anyone.

What matters is what we build with it.

AI is moving in the same direction.

We are beginning to move from an era when “We used AI” is a selling point to one in which there is no need to mention the use of AI at all.

When that happens, the important questions will not be about model names or prompts.

What problem did it solve? What failed? What changed compared with the way we worked before?

In the end, those are the questions that matter.

And Buddhism Was What Remained on YouTube

Seen that way, it is not particularly surprising that I have stopped writing articles about AI.

I have not lost interest in it.

AI has simply become so deeply embedded in my daily life as a tool that I have less and less to say about AI in isolation.

When I write about AI from now on, I want to write not about my impressions of a new model, but about what actually happened at work—including the failures and constraints, not only the successes.

Then I open YouTube, and once again the screen is full of videos about Buddhism and meditation.

After I spent so long chasing the latest developments in AI, the algorithm decided to recommend meditation.

After thinking about AI for so long, I eventually arrived at “Stop thinking.” That does not seem like a bad conclusion.