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If AI still excites you, it hasn't won yet

Every technology starts as magic and ends as wallpaper. The hype is only the warm-up — the day AI finally bores you is the day it won.

Bhavik Thakkar 5 min read

It wins the day it bores you.

There is a faded QR code taped to the counter of the shop where you buy your chai. You scan it without looking up.

That sticker plugs into one of the most advanced payment networks on earth. India runs it nearly 791 million times a day. You just used it to buy a single cigarette, thinking about something else.

Nobody calls that a miracle anymore. And that is the entire story of technology.

Every new technology takes the same road. It starts as magic and ends as wallpaper. Somewhere in the middle, with no announcement, we stop being amazed and start being annoyed when it is slow.


Here is the uncomfortable part.

Excitement is usually a sign that a technology is still useless. The hype is the phase before it does anything for normal people.

We don’t adopt technology. We get bored of it.

Twenty years ago, getting lost was normal. You rolled down the window and asked a paanwala. Now you get irritated if Maps takes four seconds.

AirPods were a punchline in 2017. Today they are just ears.

None of these won by staying exciting. They won by getting boring enough to ignore.

We never catch the moment it flips. We wake up one day and the magic is furniture.

That faded QR code did not lose by becoming boring. It won the entire country precisely because it did.


Somebody wrote this down in 1991

Mark Weiser, a researcher at Xerox PARC, said the most profound technologies are the ones that disappear. They weave into daily life until you cannot tell them apart from it. He wrote that when most of the world had never touched a computer.

Marketing has its own version of the same idea. The Kano model splits product features into the ones you expect and the ones that delight you. The catch is that delight does not stay delight. Attractive features slide into expected ones, and expected ones become the bare minimum.

Free wi-fi felt generous in a 2008 hotel. Now you leave a one-star review when it buffers.

Delight has a shelf life. It always rots into expectation.

The night I stopped checking

I build automation pipelines on the side. Node.js, a few APIs, a process manager keeping everything alive on a server.

The first time one of them ran without me, I sat and watched the logs scroll. It felt like I had gotten away with something.

Last month I realised I had not opened those logs in eleven days. It had been running the whole time. I would only have noticed if it stopped.

That was the moment, for me. Not a launch. Not a demo. Just the quiet disappearance of something I used to find impressive.


Why the AI hype dying is good news

Boring is not automatic. Plenty of technology gets boring and then simply dies. Something has to earn its way into the background, and it takes three things. Cheap. Everywhere. Reliable.

UPI had all three inside five years. It cost nothing, the government pushed it hard, and it worked every single time.

AI has two out of three. It is cheap and it is everywhere. It is not reliable. You still check its work. That checking is the entire reason it has not disappeared yet.

I should be honest about where I sit. I am a Google Campus Ambassador for Gemini and I build with this stuff daily. I am inside the hype. And the real goal of all of it is to become forgettable.

In a few years your mother will use AI to follow a recipe and complain that it talks too much. A delivery rider will argue with one in Hinglish about a wrong address. Nobody will post about it. It will just be a Tuesday.

Electricity was a miracle once. So was a tap that gave clean water. You only notice them when they stop working.

So stop judging AI by how exciting it feels today. Excitement is the warm-up.

The day AI finally bores you is the day it won.

Written by someone inside the hype — a Google Campus Ambassador for Gemini who builds with this stuff daily, and is quietly rooting for it to get boring.

Originally published on Medium. Read it there

I write about AI and careers, field marketing, and the things I build.