Casey Liss

A huge amount of other software is basically a spreadsheet, but custom.

And when spreadsheets and databases came out and were made available with the personal computer revolution...

they were very disruptive to a lot of jobs that came before them.

Ask accountants.

Or rather, ask calculators or computers.

What were they actually called?

Computers?

The people who spreadsheets made their job a lot less necessary.

But also, we still have accountants.

And we still have people doing a lot of these jobs.

And we still have a lot of products that exist...

that are basically databases or customized spreadsheets, despite everyone having access to database tools and spreadsheet tools.

Their argument was basically like, you know, AI is going to be a component of lots of software, but it's not going to replace the need for software.

And I think that's probably correct.

It is a little bit different than those in the breadth of the types of problems it covers.

And the nature with which it solves them, being kind of non-deterministic is a little bit unusual in the computing world.

Let's just say unreliable.

And certainly, when you're looking at businesses using AI in business roles, one of the biggest challenges is this stuff is constantly changing.

And so you can build a business process around calling the chat GPT API or something, but next month, whatever you built will break.

Because something will change.