Grant Harvey

This is something we often find myself talking when we talk to companies about like, oh, AI strategy.

And like the person you really, like your chief AI officer, I'm sorry, is probably not going to be the right person.

It's the random 24-year-old who was unbelievably excited that Gemini released a new image model yesterday.

Yes.

That person is the one who's going to like build some cool stuff that's going to change a part of your business.

Because they'll be like, oh, my job is boring.

I'll automate bits of it.

And those people are like, yeah.

And it's fascinating to watch them.

Like, I mean, I can tell the story and then the person who's being referred to is going to find it very amusing.

We've got someone in Invisible who like, he's someone who came in, he actually came in as a contracted agent, like doing human data work.

And he was excellent and we brought him on full time.

He's now running an AI ML team, engineering team, because he is an unbelievably good prompt engineer and also good at understanding how to use them correctly.

And a colleague of mine who I brought in, who's also a very, very, very good ML engineer, had a theory about this.

And he was like, yeah, this guy, he was a professional League of Legends player for three years.

He got incredibly good at making a huge number of decisions in massive sequence and also very quickly evaluating trade-offs.

Which is all you have to do.

And he's not a trained, he hasn't gone through 20 years of software engineering training, but he understands complex systems and how to handle them in different ways.

And it's a non-traditional skill set, but it's proven incredibly valuable because three years ago, this job didn't exist.

With clarity, as a lifetime Nintendo fanboy, like, I'm not advocating for League of Legends here.