The truth about (Gen)AI

(✅ clickbait title)
Recently I attended a GenAI event organized by <big company>. All professional, interesting, insightful. Really good. (Really! I mean it! No sarcasm.)

Until it hit me like a blow during a discussion:

I DO KNOW the whole plot already!

The discussions, the argumentation, the problems, the hopes, the promises of the consulting companies. Startups that make good (ok or bad) products and raise the hopes of the rest of the industry.

We’ve seen it all before with big data and data science – EVERYTHING!

<Technology> is a game changer.
<Technology> brings x millions.
If you don't do <Technology>, you won't survive in the market.
<Technology> brings billions of €€€€.
You need a <Technology> competence center, and a <Technology> strategy!

And the problems are the same – not similar, but the same!
When I look at the LinkedIn stream, I really have Groundhog Day.

We really are chasing the Gartner hype cycle. 🙈

Am I against (Gen)AI? Quite clearly: No
But the hype, the exaggerated expectations … do we REALLY need to do this, AGAIN?
Yes, apparently that’s just how we humans / companies tick.

Well .. then: let’s go into the valley of tears as quickly as possible, burn as little money as possible there pointlessly and off to meaningful use.

It’s sad, but there doesn’t seem a way around.

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