Oct 19, 2026 · 33 min · 10 segments
In this episode, host Michael Marchuk chats with Dr. Michael Housman, author of Future-Proof: Transform Your Business with AI or Get Left Behind, to explain what separates AI winners from the ones…
Michael HousmanGuestMichael MarchukHostSo making that transition, you said many organizations are having trouble getting past that.
And a lot of them aren't necessarily getting the measurable business value they're expecting.
Is that all connected back with this adoption? Or are there other reasons that we need to be looking at?
Sometimes the tools don't necessarily stand up the way that they might during a demo.
How many got deployed successfully into production? The answer was out of all of those projects, 5% were being deployed successfully into production.
So of course, the next question is why? And they found in some cases, the tools didn't live up to what they were billed as, and it wasn't robust enough.
But the biggest reason were change management, lack of executive sponsorship, users refusing to adopt the new tools.
And so it was by and large, the human piece exceeded the technology piece by an order of magnitude.
When you check in LinkedIn, you start playing with the tools, the technology is going exponential.
So even if it can't do something today, I check back a month, a couple months from now, sometimes it can now, it's now gotten smart enough So it's really the people that are the challenge.
And frankly, the biggest opportunity that organizations face is if I can get my people to lean in, understand their capabilities, start to reinvent their workflows, we can spread past competitors.
I have plenty of examples from my career and from folks I interviewed for the book that I can share.
So I'd like to listen to more about it, especially about the interviews you had, because I think that's super important to see that.
What are these three lovers that you've talked with that kind of are outside of the AI technology itself?
So we, so my company AI Performance Lab is really focused on that training and education work that I mentioned.
So making that transition, you said many organizations are having trouble getting past that.
And a lot of them aren't necessarily getting the measurable business value they're expecting.
Is that all connected back with this adoption? Or are there other reasons that we need to be looking at?
Sometimes the tools don't necessarily stand up the way that they might during a demo.
How many got deployed successfully into production? The answer was out of all of those projects, 5% were being deployed successfully into production.
So of course, the next question is why? And they found in some cases, the tools didn't live up to what they were billed as, and it wasn't robust enough.
But the biggest reason were change management, lack of executive sponsorship, users refusing to adopt the new tools.
And so it was by and large, the human piece exceeded the technology piece by an order of magnitude.
When you check in LinkedIn, you start playing with the tools, the technology is going exponential.
So even if it can't do something today, I check back a month, a couple months from now, sometimes it can now, it's now gotten smart enough So it's really the people that are the challenge.
And frankly, the biggest opportunity that organizations face is if I can get my people to lean in, understand their capabilities, start to reinvent their workflows, we can spread past competitors.
I have plenty of examples from my career and from folks I interviewed for the book that I can share.
So I'd like to listen to more about it, especially about the interviews you had, because I think that's super important to see that.
What are these three lovers that you've talked with that kind of are outside of the AI technology itself?
So we, so my company AI Performance Lab is really focused on that training and education work that I mentioned.
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