Assuming you accept (even if you didn't expect) our shameless AI generated stock photo of a frustrated guy named Jim, let's talk about frustration.

Frustration is a part of life. It's a part of business. It's a part of growth. It's a part of learning. But should it be?
Sometimes, frustration means we're approaching a breakthrough. Sometimes, it means we're approaching a breakdown.

Often, frustration is a sign that we're trying to scale something that doesn't scale.

I have noticed repeatedly that in software engineering and business alike, people are expected to perform tasks that are not scalable.

Often that looks like a task that seems trivial enough to do, but once you think about doing it 10 times, 100 times, 1000 times, it's enough to make you're eyes bleed.
So what exactly does this have to do with AI?

Think about the tasks that take (cost) the most time in your business, for your team(s), for yourself.
I'll give you a few examples to start.

All of these things are totally fine if you only have to do them once. In fact if you only have to do them once, you probably shouldn't even think twice about it.

Of course until recently, you didn't really have an option, you just do what needs to be done, or hire more people to do it.

There is a massive hidden cost to these tasks.

Think about the highest paid, most talented, most experienced person in your organization.

Now think about how much time they could be doing the work that they trained for 20 years to build the expertise that makes them so valueable, but instead they are entering data into spreadsheets, or pinging people on teams or slack for answers to questions that no one should have to ask.