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November 11, 2025 15 mins

On this week's episode of Inside Outside Innovation, Robyn and Brian talk about the human skills needed to adapt to AI, how YouTube is changing the media landscape, and how we might just be becoming lesser apes.

Let's get started. Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper-uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero's Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.

Podcast Transcript

[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton from Mile Zero. Welcome, Robyn.

[00:00:48] Robyn Bolton: Thank you. Great to be here, Brian.

The Human Skills to Adapt to AI

[00:00:50] Brian Ardinger: Let's dive in. We've got a lot of things on our plate. A lot of things are happening. We've got a number of articles we wanted to discuss of things that we're seeing out there in the world.

The first one I wanted to call people's attention to was from Shane Snow. If you're longtime listeners, you may have seen Shane on our podcast, episode 104, when he had another book coming out. His latest article is The Human Skills that Will help us adapt to AI and Not Die. 

[00:01:17] Robyn Bolton: Not that things are bleak or, or anything, but yeah, exactly.

[00:01:19] Brian Ardinger: So Shane is a pretty talented thinker. His article sets the stage with comparing AI to what happened in early Tang Dynasty and China when they discovered gunpowder. And the fact that this gunpowder innovation changed the world in many different ways and democratized the peasants to be able to take over the emperor and everything else.

That innovation quickly moved around the world, and it changed to the point where you either had to adapt to this and or die. And he talks a little bit about how that can be a parable to what we're seeing in today's world of AI. 

[00:01:59] Robyn Bolton: Especially interesting, his characterization of the speed and the speed of adoption, and kind of saying, okay, well, you know, the Chinese had gunpowder first. Why didn't they take over the world? And it's basically because very, very quickly Europe and the rest of Asia, and adopted gunpowder.

And so, we're seeing that now is like every company is racing to adopt AI. I also just have to think like, yeah, but some people probably adopted gunpowder and didn't know what they were doing and blew their faces off.

So, there's also that risk. But it was an interesting, certainly parallel to people are moving fast to adopt AI, to claim expertise in AI, to claim what AI can do, and there's good reason for folks to adopt it, but there's also risks along the way, and we have to be eyes wide open about it. 

[00:02:54] Brian Ardinger: I think he talks, you know, a lot about the fact that it's not necessarily the technology itself that makes the changes, it's how we adapt to the technology. And you know, what gives us an advantage are inherently human characteristics, not the technology itself.

So, he talks about the advantage that we're going to have going into AI, the ones that are going to have the most advantage. While using this new technology or new gunpowder, rather than blowing up your face, how are you going to be and learn the skill sets of asking sharper questions and making smarter decisions? And weighing the human value around it, and collaboration, a lot of these kind of human-based tool sets to modify or use or mold the technology in a way that doesn't blow up in our face.

[00:03:35] Robyn Bolton: Yeah, and you know, as we talked about in the last episode, if AI can be poisoned by 250 documents. You need a human layer of critical thinking and questioning on top of it to get to the right answer.

The Human Pace of Change

[00:03:49] Brian Ardinger: And I don't think a lot of people or enough people are talking about the human aspect of it. A lot of times we've been talking about it internally in that, and you think the valuations of all these AI companies and all those folks are pushing it so much and the best case scenario is going to be what this is, but I don't think a lot of folks are really understanding the human aspect of it around just the consumer behavior or the adoption behavior.

I think people are underestimating the fact that it takes a long time for humans to really want to do something different. And so, it may not be tomorrow that this happens; it may actually end up taking 10 years for people

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