At the turn of the millennium, I was co-founder of one of the first digital agencies in Vienna — sent from Hamburg on loan from the first listed German internet agency. The internet was the hot shit. Everyone was talking about it — even if obviously not everyone knew what he (or she) was talking about.
The bubble was already beginning to burst. The valley of disillusionment was visible. Those who did not understand what was happening beyond stock market valuations felt confirmed in their skepticism. And as is so often the case, it was those who understood the least who spoke the loudest.
Today, it all feels strangely familiar. The new hype is called AI.
The same patterns: euphoria, fear, hysteria. And yet another flood of newly baked “experts”. The cacophony of buzzwords, tools and formats is overwhelming.
Of course, the internet was also a communication issue — but above all it was a paradigm shift for business models, processes and corporate structures. The mistakes of that time should be a lesson for AI.
Why I use ChatGPT, Midjourney and Notion AI
Because they are as trendy as Labubus?
Or because they have developed into real business tools?
For me, it’s the latter.
If you want to use AI seriously in your company, you have to ask yourself an uncomfortable but crucial question:
How digital is my company really?
Or in buzzword-speak: How is our digital readiness?
The big moose test: Do you remember Covid?
Covid was the first real endurance test for the digital substance of companies — and this test was merciless.
Some companies worked remotely without any problems. Others failed due to printers and fax machines.
Government aid concealed the weaknesses — but could not remedy them.
A central reason for many of today’s imbalances lies precisely here:
lack of digital maturity.
And by the way: the differences between the USA and Europe in terms of digitalization and digital business models have rarely been as visible as they were back then.
What is AI actually for?
What exactly do you want to achieve with AI if your emails are still printed out?
In the 1990s, many companies installed expensive CMS systems — just to use them like Word. The smarter ones realized: It was never about the tool. It was about a paradigm shift.
A turning point — once again
We are at a similar point today as we were then — only bigger.
And this time too, change is affecting the entire company: Processes, business models, products — everything, at exponential speed.
Three questions that every company asks itself:
1. what does our digital basis look like?
2. where do we see opportunities that AI could bring us?
3. what risks does AI pose for our business model?