Andreas Welsch

You know, at the beginning of the year when DeepMind came out as a challenger to OpenAI, we all in the industry learned something about an economic principle.

Maybe some of us have learned about it in college and forgotten about it, but the principle is called Jevons Paradox.

And the idea is that as the cost for a good drops,

The usage increases because it gets cheaper to use it.

So people are trying it out more.

They're spending more on it.

We've observed that with gasoline, for example.

If the price of gas drops, it's not like people stop driving or drive less.

No, the opposite, right?

They go on more road trips because, hey, now it's cheaper to do it.

So you actually increase the cost.

So I would say there are two.

The same applies to AI.

Just because it's getting cheaper means that more likely than not, the usage will increase.

But the cost, I think we need to look at that not just as a total sum, but even on a line item level.

What are we actually...

enabling through the use of AI and what is the value that this creates, right?

If you're in a creative agency or if you're in marketing, yes, indeed using AI to write copy and corporate copy in that sense is a great productivity booster.

So you see some returns there.

Again, if you're in HR and you're looking at some examples