Every few weeks, the headlines flip.
“AI is changing everything.” “AI doesn’t actually help developers.” “X% of coding time is spent debugging AI output.” “AI will replace everyone.” “AI is a bubble.”
All of it gets shared. All of it gets dunked on. And most of it is, in some sense, probably true.
We’ve been here before. Every meaningful innovation goes through the same cycle. Wild optimism on one side, people scanning the horizon for any sliver of bad news on the other. Both camps are convinced they’ve already figured it out. Neither has.
The truth is more boring: we’re still learning. The people building the models are learning. The people using them are learning. And society as a whole is still figuring out where AI shines, where it falls flat, and how to integrate it into actual work without breaking things.
I’m biased, of course. I work at a company that’s been on this journey from day one. But that vantage point also means I’ve watched the cycle up close long enough to recognize it for what it is. For me it has been influencing the way I work in a way I never could have imagined even 2 years ago. Not only model improvements but skills, plugins, tools, computer use and me learning the skill have boosted my productivity significantly.
A few things I do believe:
•AI will significantly change how we work. That part isn’t really debatable anymore.
•It won’t replace everyone. Human judgment is hard to teach a machine, and probably will stay that way for a long time.
•Used well, it genuinely boosts productivity. Used poorly, it creates new categories of mess.
•The flaws are real but they’re also part of the learning curve, not the final verdict.
There are no shortcuts here. Not for the builders, not for the users, not for the skeptics waiting to be vindicated. Everyone has to actually go through it.
What I’m most interested in now is accessibility. AI is already part of daily life for a lot of us. The next step is making the tools simple enough so everyone can use it with the same efficiency. That, and improving resource efficiency would be my personal priorities. You may have guessed it, also this is very common for new innovations 😉
You may have noticed, I don’t like binary thinking and pessimism.