Aug 31, 2026 · 1 hr 2 min · 11 segments
I thoroughly enjoyed speaking with Samuel on a range of topics. He and I debated the skills that humans should focus on to be relevant in an AI driven future as well as providing a cautionary tale…
Samuel MorhaimGuest
Rick ColuccioHost
Mind you, these days, I feel like the show could be called How to Live with AI in the Workplace.
But you and I talked about an instance where you were using an AI screening tool.
And can you maybe tell that anecdote again for our listeners so we can discuss that a little bit?
So three years before the last three years, we were hiring, we were interviewing probably maybe 20, 30 candidates per month for different engineering roles.
We need to make sure that there is a cultural fit, that the person can communicate with the clients and can understand the ideas.
And about two years ago, we started noticing that everybody was acing the automated tests.
And when 80, 90, 100% results, and I would interview them, And five minutes into the call, it was like, he doesn't really know enough.
And of course, this is a time where AI chatbots and everything was coming up.
I don't blame any engineer today using AI, but the interview or the focus had to shift.
We had to completely throw out the window that test and go for a different approach, knowing if that person had what I describe as taste.
But having taste and knowing what to code, how to code it, tell Claude to do whatever you want.
But you need to know exactly, you need to know what's going to be a meaningful product addition and what is going to be some AI slot.
Mind you, these days, I feel like the show could be called How to Live with AI in the Workplace.
But you and I talked about an instance where you were using an AI screening tool.
And can you maybe tell that anecdote again for our listeners so we can discuss that a little bit?
So three years before the last three years, we were hiring, we were interviewing probably maybe 20, 30 candidates per month for different engineering roles.
We need to make sure that there is a cultural fit, that the person can communicate with the clients and can understand the ideas.
And about two years ago, we started noticing that everybody was acing the automated tests.
And when 80, 90, 100% results, and I would interview them, And five minutes into the call, it was like, he doesn't really know enough.
And of course, this is a time where AI chatbots and everything was coming up.
I don't blame any engineer today using AI, but the interview or the focus had to shift.
We had to completely throw out the window that test and go for a different approach, knowing if that person had what I describe as taste.
But having taste and knowing what to code, how to code it, tell Claude to do whatever you want.
But you need to know exactly, you need to know what's going to be a meaningful product addition and what is going to be some AI slot.
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