Yes, I said it. AI is boring right now.

Most people would say it's overwhelming, impossible to keep up with, and exhausting to follow.

And sure, I get that. But my argument today is that despite the feverish pace, AI right now is deeply, genuinely BORING.

Let me explain with an example.

Google AI wizard Demis Hassabis gave an interview for Y Combinator.

In it, Garry Tan said, with a straight face: "Engineers can do like 500 to 1,000 times the amount of work that they were doing like six months ago."

Seriously? Is anyone high enough on their own BS to actually believe this?

I don't even need to break it down, because anyone actually working with AI knows this isn't close to true. And yet this kind of claim gets made on a weekly basis by AI leaders and tech executives, and it's gotten to the point where it's boring to even address.

The problem is that these claims kick off a vicious cycle that affects every white-collar worker:

Step 1: A tech CEO makes wild AI productivity claims.

Step 2: Management and HR, who have no real understanding of engineering or the actual work happening in their companies, start believing these claims.

They expect their teams to 10x output, while they freeze hiring. They start making cuts, because "just use AI." 🙄

Step 3: Workers get pushed to use AI and end up becoming prompt-and-review machines.

Engineers, for example, are increasingly stuck doing only code reviews, which happens to be the most boring part of the job. The creative, problem-solving work that made these roles satisfying is being stripped out.

So there are really two reasons AI is boring right now.

The first is the hype itself. AI is undoubtedly the most over-hyped product in the history of technology, and it cannot possibly live up to the promises being made.

Certainly not in the next 3 to 5 years. Anyone using AI seriously in their work can see the gap between reality and what's being sold. And that gap kills the excitement for new models, new benchmarks, new announcements. It all starts to sound the same.

The second is what the hype is doing to work. The cycle described above is forcing employees across industries to use AI in ways that hollow out their jobs, replacing creativity and judgment with prompt-writing and output-checking.

And the quality of the work rarely gets better. It actually often gets slower, because of all the quality control now required. And the workers doing it are slowly becoming less engaged, less skilled, and less satisfied.

The great irony is that AI was supposed to take over the boring parts of our jobs, freeing us up for the creative, high-judgment work that actually makes work worth doing.

Instead, for most people, it's done the exact opposite: what's left of our job consists almost entirely of prompting, checking, and correcting a tool that was supposed to be making things better.