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AI · Essay

Beyond the hype: three technologies I am excited about

The louder a technology is hyped, the more wrong I tend to be about it. Three emerging technologies that survived my own skepticism, and why they last.

Photo Emerging Technologies

I have a fairly reliable personal indicator for technology. The louder a thing is hyped, the more wrong I usually turn out to be about it when I get excited, and the more right I am about the boring things nobody is shouting about. So when I say there are a few emerging technologies I am genuinely excited about, I mean it as a slightly nervous admission, because excitement is exactly the feeling that has misled me before. These three have survived my own skepticism, which is the only test I trust.

1. AI that makes old systems legible

Almost all the attention goes to AI building new things from scratch. The work I find genuinely thrilling is the opposite: AI that sits on top of systems too old and too important to replace, and finally makes them explain themselves. I have written about this in the context of utilities, where a fifty-year-old billing engine can suddenly answer a human question. This is not glamorous and it is enormous, because the world runs on software nobody is willing to switch off. Making that software legible is worth more than another clever demo.

2. The collapsing cost of building

The thing that has actually changed my daily work is how cheap it has become to build a first version of almost anything. I built a real server tool in a week that would have taken me a month not long ago. I am excited about this, and also wary, because cheap building is only a gift if you stay disciplined about what deserves to be built. The technology is not the interesting part anymore. The judgment about where to point it is.

I have been wrong about nearly every overhyped technology and right about most of the boring ones. I have learned to trust the pattern.

3. Reliability as a first-class product

The least exciting-sounding and most important shift is that as AI writes more software, the scarce thing becomes trust that the software actually works. This is why we built our own testing tooling and treat it as a real product, not a chore. When a model can produce a thousand lines in a minute, the bottleneck moves entirely to verification, and the teams that win will be the ones who made reliability a feature instead of an afterthought. Nobody hypes testing. Everybody needs it.

What these three have in common

None of them is the thing on the magazine cover. Each one is a layer of unglamorous plumbing that makes the flashy stuff actually usable: legibility for old systems, discipline for cheap building, trust for fast code. I have noticed that the technologies I stay excited about, years later, are almost always the plumbing. The cover stars tend to be gone by the next issue.

So my filter has become simple, and a little unfashionable. I get suspicious of anything that is exciting mostly because it is new, and I pay attention to anything that is quietly making an old, real problem smaller. The hype points one way. The substance, in my experience, almost always sits somewhere quieter, doing the boring work that lasts.

NJ Nikhil Jathar “I have been wrong about every overhyped technology and right about most of the boring ones.”