From HD Doppler to “AI-Powered”... A Brief History of Slapping Buzzwords on Everything

There’s a strange phenomenon in technology that happens every time a new shiny thing enters the chat. Not a breakthrough. Not a paradigm shift. Just… a word.

Once that word gains momentum, it spreads faster than ransomware through an unpatched RDP server. Suddenly, everything, and I mean everything, is powered by it.

Yep.....we’ve been here before.

Remember “Exclusive Doppler”?

Weather forecasts are a great place to start, because they’re one of the few technologies that somehow manage to sound dramatically improved… while being almost exactly as accurate as they were decades ago. At some point, regular Doppler radar wasn’t enough. We got:

• Exclusive Doppler

• Doppler 2k

• 3-D Mega Doppler

• HD Doppler

• Precision Doppler

• Doppler with dramatic red and purple colors like it was angrier than usual

Same radar, same models, same “50% chance of rain” that somehow still means both “it will rain” and “it absolutely won’t.” But it felt better, was dramatic marketing, and that’s what mattered.

The Branding Cycle...

Tech branding runs in predictable waves:

• e-Everything era (eBusiness, eCommerce, eSolutions... we get it, there’s electricity involved)

• The i-Phase Thanks to Apple, everything became “i-Something.” iBanking. iHealth. iSynergy. iCan’tBelieveThisIsAThing.

• Cloud Everything Suddenly, running a VM in someone else’s data center became “cloud-native innovation.”

• Blockchain Phase Bonus points if you didn’t know what problem it solved.

• Now --> AI. AI everywhere. AI in places AI has no business being.

Congratulations, Your If/Else Statement Is Now AI !

Today, the word AI has been stretched so thin it can cover...

• A rules engine

• A scheduled script

• A search box

• A chatbot with hardcoded responses

• An Excel macro someone wrote in 2009

Slap “AI-powered” on it and boom! Innovation.

Never mind what model is being used, what data it’s trained on, or whether it learns anything at all. If it makes a decision? AI. If it reacts to input? AI. If it exists? Probably AI.

Why This One Feels Worse To Me Than the Others

AI hype hits differently because it’s opaque. Most people can’t tell the difference between machine learning, statistical modeling, automation, or a well-written conditional statement. And marketing knows this.

So instead of selling capability, vendors sell comfort and hype.. “Don’t worry. You’re not behind. This has AI.” Executives nod, investors smile, and product pages glow with buzzwords. Reality quietly exits the room.

The Irony

The companies doing real AI work rarely shout the loudest. They talk about...

• Outcomes

• Limitations

• Accuracy tradeoffs

• Edge cases

• Bias

• Risk

Meanwhile, the loudest voices are yelling “AI!” like it’s a magical incantation that turns mediocre software into the future.

A Simple Rule of Thumb

If a product claims to be “AI-powered” but can’t explain what it actually does differently, what it learns, or what problem AI specifically solves, then congratulations... you’ve just discovered HD i-Doppler 2k for software.

Same system, new sticker, and louder graphics.

The Forcast... Chance of real innovation: 30% Chance of marketing hype: 90% Chance someone says “AI-driven” without knowing why --> Guaranteed

And yes, I’ll still be watching the forecast… Just don’t tell me it’s exclusive. :)