Inside Outside Innovation Podcast Por Brian Ardinger Founder of Inside Outside Innovation podcast InsideOutside.io and the Inside Outside Innovation Summit arte de portada

Inside Outside Innovation

Inside Outside Innovation

De: Brian Ardinger Founder of Inside Outside Innovation podcast InsideOutside.io and the Inside Outside Innovation Summit
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Inside Outside Innovation explores the ins and outs of innovation with raw stories, real insights, and tactical advice from the best and brightest in startups & corporate innovation. Each week we bring you the latest thinking on talent, technology, and the future of innovation. Join our community of movers, shakers, makers, founders, builders, and creators to help speed up your knowledge, skills, and network. Previous guests include thought leaders such as Brad Feld, Arlan Hamilton, Jason Calacanis, David Bland, Janice Fraser, and Diana Kander, plus insights from amazing companies including Nike, Cisco, ExxonMobil, Gatorade, Orlando Magic, GE, Samsung, and others. This podcast is available on all podcast platforms and InsideOutside.io. Sign up for the weekly innovation newsletter at http://bit.ly/ionewsletter. Follow Brian on Twitter at @ardinger or @theiopodcast or Email brian@insideoutside.io2022 Economía Gestión Gestión y Liderazgo Liderazgo
Episodios
  • Learning vs Execution with Brian Ardinger and Robyn Bolton

    Learning vs Execution with Brian Ardinger and Robyn Bolton
    Mar 10 2026
    On this week's episode of Inside Outside Innovation, we talk about why 70% of startup acquisitions fail, why UX didn't die, and how everyone is still building their startups backwards. 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 with Brian Ardinger and Robyn BoltonWhy Startup Acquisitions Fail: Learning Problems vs. Execution Problems[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have with me Robyn Bolton as always from Mile Zero. Welcome, Robyn. [00:00:48] Robyn Bolton: Thank you. Great as always to be here. [00:00:51] Brian Ardinger: We are excited to have you. Excited to get into the news of the day and some of the amazing things that we're hearing in the world of innovation.We are going to start with the first article. First article comes from our friend Elliot Parker. Elliot is with Allied Partners. He's actually coming out to the summit, so not only are we going to talk about his article today, but you can come and see him live and in person April 13th. Let's now talk about his article, Why 70% of Startup Acquisitions Fail: the learning versus execution problem.And Elliot talks about, first of all, he cites some statistics that large companies acquire startups at a 70 to 90% failure rate. Yet the same research shows that bolt on acquisitions, when you buy a company in the same industry that's doing similar work, the success rate climbs to 80 to 85% of the time.And he poses the question, what's the key difference? The key difference really is the fact that you're really working in two different worlds. You're working either in a learning problem world, such as a startup, trying to understand who their customers are and what they're building, et cetera, or an execution problem world where you figured a lot of that out, and your job then is to efficiently scale and predict and move that business model forward.And I think based premise is that large organizations oftentimes don't know exactly which startup they're buying. Are they buying a startup that has figured it out or have they bought a startup that's still learning. And then that integration is where the, it all falls down. [00:02:12] Robyn Bolton: Yeah. I will continue the shameless plug. I am a huge Elliott fan. We've worked together, we've co-authored articles way back when together, and he is just a really smart, really great guy. So highly recommend everybody come and see him. Mob him at the IO 2026 conference, and again, he hits the nail on the head of learning problem and an execution problem.It's different worlds innovation and operations are different. Pilots and scaling something are opposite problems. And the fact is big companies are designed for execution. I mean, I still remember my days at P & G when we were test marketing Swiffer Wet Jet, and our test markets were Canada and Belgium.Those are countries, not test markets. But that's just how big companies are wired, and he makes a great argument backed up by facts around what the problem is and honestly, what companies need to do about it is kind of recognize that these are opposite things and I had to structure and approach the problems accordingly.AI, UX Design, and Why User Experience Is No Longer Just About Screens[00:03:25] Brian Ardinger: It'll be interesting to see how this plays out in the day when you can spin up a startup in five minutes and, and all the new things that are happening out there. How many large corporations might fall into that trap of looking for the shiny new thing and not realizing that it's not fully baked, and then it won't necessarily fit into the existing structures that they have and kill it from that perspective.Or we'll get it to a place where you can build a startup and get to execution much faster, such that those acquisitions can dovetail right into an existing business. So it'll be interesting to see how that changes over the time period as well. [00:03:59] Robyn Bolton: Yeah, and you know, will organizations, the failure mode I see most often is they think, oh, you know, there's market traction, there's revenue. The startup may even be profitable, and they think great. It's no longer a learning problem, it's an execution problem. So realizing that just because there's revenue, just because maybe it's even cashflow positive, doesn't mean it's ready for scale. [00:04:20] Brian Ardinger: Absolutely. Alright. The second article is UX Didn't Die, it just stopped being about screens. This is from Nurkhon, if I'm reading that right. N-U-R-K-H-O-N. He has a medium article talking about this ...
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    12 m
  • AI Trust, Inclusive Design, and Shipping Too Fast with Brian Ardinger and Robyn Bolton

    AI Trust, Inclusive Design, and Shipping Too Fast with Brian Ardinger and Robyn Bolton
    Mar 3 2026
    On this week's episode of Inside Outside Innovation, we talk about some recent Stanford research, how designing for disability sparks innovation, and the hidden dangers of shipping too fast. 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, Robin Bolton, as we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Reasoning Risks, Inclusive Design Innovation, and the Hidden Cost of Shipping Fast[00:00:30] 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. Robyn, welcome again. [00:00:48] Robyn Bolton: Thank you again. [00:00:50] Brian Ardinger: We have another amazing week ahead of us here. We wanted to share all the exciting things in the world of innovation that we're running across.First, I guess we'll get right into it. We've got a number of articles that have touched our lives here. The first one I want to talk about, Stanford just published an uncomfortable paper looking at LLM reasoning, and some of the findings were kind of incredible. Basically, the gist of it is if you look at the LLMs, it sometimes goes to a point where it is creating an environment where it's leading you to believe that it is confident in its answer, but it is not, for lack of a better term. That is what it's all about. [00:01:27] Robyn Bolton: I mean, it's so perfectly worded. This is worse than being wrong because it trained users to trust explanations that don't correspond to the actual decision process. And I will say I've seen that time and time again using different LLMs and have totally fallen victim to it is I'll kind of quickly scan the response, really read the end when it kind of gives me the key takeaway, I'm like, yeah, that sounds right, and then go on.And then it's only later I'm like. Ugh. I fell victim to AI work slop because the reasoning doesn't hold. So, it's an easy track to fall into and a good one to just constantly be on guard for. [00:02:09] Brian Ardinger: Yeah. The fact that the models produce unfaithful reasoning gives you this you think this is a correct answer, provides explanations, but when you ask it to explain it, the actual logic that it explains back to you is wrong or incomplete or fabricated.So, it provides that sense that you're on the right track. But the LLM itself can't reason. And that inability to reason will take you down particular paths and even to the extent you could even change a single word or a phrase within your prompt, and that can take it down a particular path that, again, logically it doesn't make sense.And so, it's not consistent even down to the word of the prompt that you put it into. So, all that to say it's getting better, but it's still not a thinking device and it's not a reasoning device. Be careful when you're using these particular methodologies and that. Don't be a hundred percent confident in everything that comes out of it.[00:03:02] Robyn Bolton: Yes, trust for verify. [00:03:04] Brian Ardinger: There I go. [00:03:04] Robyn Bolton: Or maybe don't trust and still verify. Designing for Disability as a Catalyst for Breakthrough Innovation[00:03:08] Brian Ardinger: Alright, the second article from HBR is how designing with disability in mind sparks innovation. So, this was a great article. Oftentimes, I think when we're building new, innovative things, we think about the amazing things that we're going to create.And this article talks about how oftentimes you can think about it differently and actually create new things by designing for the marginal case or folks, for example, with disabilities.You can design for amplifying use cases that don't normally happen, but by focusing on that, you can actually create new innovations and new ways of thinking about how to develop a new product. [00:03:45] Robyn Bolton: This is such a great reminder and great call to action for innovators, and it reminds me, I think, as I mentioned to you, one of my favorite stories, which is about Oxo, the kitchen tools, the can openers, the spatulas, all of that, and how they were originally created for people with rheumatoid arthritis.And you know, now, like Oxo is the only brand that I'll buy for Kitchen Tools because they're just so comfortable to use. And so it's just again, a great illustration of how designing for a really, really specific, even niche customer and designing really well and thoughtfully for them, that the market will expand because I mean, honestly, even look at sidewalk cutouts. You know, the kind of like little rams. We all use them, but they were made because of the ADA, the American with Disabilities Act. So, find a ...
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    9 m
  • AI Judgment, Work Trends, and the Angel Investor Gap with Brian Ardigner and Robyn Bolton

    AI Judgment, Work Trends, and the Angel Investor Gap with Brian Ardigner and Robyn Bolton
    Feb 24 2026
    On this week's episode of Inside Outside Innovation, we talk about Anthropic's bet on philosophy, trends shaping work in 2026, and why we need more angel investors. 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 with Brian Ardinger and Robyn BoltonThinkers50 Recognition and the Role of Modern Management Thinkers in Innovation[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton. Robyn, welcome to the show. [00:00:43] Robyn Bolton: Thank you. Great to be here again. [00:00:45] Brian Ardinger: We are excited as always, to talk about innovation and all the things that we've learned. Anything going on in your life that you want to share?[00:00:52] Robyn Bolton: Got some exciting news actually a couple weeks ago. Don't know if folks are familiar with Thinkers 50. That is kind of like the list of the top management thinkers and they have a radar list of up-and-coming thinkers and found out that I got named to that list. [00:01:08] Brian Ardinger: Yes, that's awesome. [00:01:10] Robyn Bolton: 30 up and coming thinkers and very excited. I'm a thinker now. [00:01:15] Brian Ardinger: It's always good to be recognized and even more to be recognized as a thinker. I think, especially in today's world. [00:01:21] Robyn Bolton: Yes, yes. Thinking is good. Doing is good too. And you know, it's an organization, they always say thinking plus doing equals impact. And I'm like, yep. [00:01:30] Brian Ardinger: There we go. [00:01:30] Robyn Bolton: Gotta be doing too.[00:01:32] Brian Ardinger: Well congratulations on that. [00:01:34] Robyn Bolton: Thank you. What about you? What's new in your world? [00:01:36] Brian Ardinger: Right now, we are buried in seven inches of snow, so that was fun. The week before we were in Phoenix, so I think I picked the wrong week to go on vacation. Other than that, unburying from email and unburying from snow this week. So, it's all good. [00:01:51] Robyn Bolton: Well, at least you had a week of warm to remember what that's like. [00:01:53] Brian Ardinger: Exactly. Remember what it was like. Excellent. Well, let's get started. We've got a couple of different articles over the last few weeks. The first one we want to talk about is a YouTube video from AI News and Strategy Daily by Nate b Jones.He had a video a couple weeks ago talking about Anthropic CEO's bet on the company and his philosophy, and the data says that he's right, that he's thinking about things in a little bit different way. It really talks about the constitution that Anthropic has put together. They put together an 80-page Claude constitution outlining the principles of how they've developed Claude and thinking about it, quite frankly, in a different way than a lot of the other AI companies have been thinking about it.What they've said that they've done is really look at how do you build these AI models using core principles, rather than having to build out every single rule and what the AI has to do based on rules and more about what's the philosophy of how the AI model should think through the system so that gives it more flexibility.And basically, this idea of having a more. Flexible constitution or way of thinking versus a strict rules-based approach may actually be a, a way that is going to give Claude an edge in the future. Anthropic’s Claude Constitution, AI Judgment, and the Future of Large Language Models[00:03:05] Robyn Bolton: Yeah. This was really fascinating because it brought up a theme that we've talked about several podcasts since the start of the year, which is judgment.And we've always talked about, and we've seen it written about it, it's like, hey, judgment is what is going to continue to give humans relevance. Because we have judgment and AI is just rules based. And so, what was fascinating and terrifying was in this constitution, it's based on Aristotle's philosophy and it emphasizes that they're trying to build Claude to exercise judgment versus following rules.And I was like Uh oh, if that was the, a human moat to kind of give us relevance and we're building Claude that I use daily to exercise judgment this is going to result in some very interesting things. And so, kind of early on, obviously Claude has not progressed to being, having full wisdom and judgment. But now with this constitution, one of the things that Nate mentioned is that when you're prompting Claude, the why matters more than the what.So, the importance because of this constitution and how they're programming Claude, that when you ask for something, you're...
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    13 m
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