Live With David Allen: GTD Principles in the Age of AI

Fall in Love With Your Customer's Pain: Kajabi's Co-Founder on Building With AI

Travis Rosser [https://substack.com/profile/170949930-travis-rosser] co-founded Kajabi, the platform creators have used to sell more than $10 billion in courses, coaching, and knowledge, and he joined me on Substack Live to trace the whole arc. We went from a Shark Lagoon PDF he sold as a kid to a company that put publishing tools in everyone’s hands. Along the way he unpacked why he tells builders to fall in love with their customer’s pain instead of their idea, his Four P’s of knowledge capital, and why AI is turning all of us from creators into builders. If you’re sitting on expertise and wondering what to do with it, this is the one to watch. 🎥 Catch all future interviews, subscribe on YouTube [https://www.youtube.com/channel/UCaws3oD3t4KiWU1qSaXDQpA] 🎧 Prefer audio? Listen on Apple Podcasts [https://podcasts.apple.com/ca/podcast/leadership-in-change-with-ai-podcast/id1884921599] 🤝 Want to chat one-on-one? Book a free intro call. [https://jsalinas.org/call/] Outline (00:04) – Welcome, and going live on Substack (00:53) – A sprinkler toy, a taco, and a lifelong side-hustle habit (02:39) – Shark Lagoon: the first thing he ever sold online (04:36) – Kajabi’s first customer (05:28) – Launch day, and a million dollars in 24 hours (08:44) – The Saturday the support tickets caught fire (09:56) – The survey that revealed what Kajabi really was (10:32) – From $10 billion to “we’re all becoming builders” (12:13) – “Fall in love with your customer’s pain, not your idea” (15:24) – Knowledge capital and the Four P’s (22:57) – Skills as the new digital product, and taste as the new edge (36:43) – What Travis is building now: Wazi [https://wazi.ai/] and PageSumo [https://pagesumo.com/] My Takeaways Fall in love with your customer’s pain, not your idea. Here’s the line I keep coming back to from the whole conversation. Travis has been building things his entire life, and the thing he kept circling back to is that being good at creating stuff is exactly what makes you fall in love with the wrong part of it. “When you’re good at creating things, you fall in love with the idea too much,” he said. “But if you’re not helping someone, if you don’t provide value to them, it doesn’t matter.” What I pushed on with him is how much sharper that line cuts right now, because once anyone can build almost anything over a weekend, a lot of us are going to mistake “I can make this” for “someone actually needs this,” and those two things were never the same. Everybody is sitting on knowledge capital, and most of us take it for granted. So here’s the framing from his book You, Inc. that I want more leaders to steal. Travis calls it the Four P’s: Profession, Passion, Pain, and Problems. His claim is that all four are knowledge somebody else would pay for, and we discount them because they come easy to us. “Everybody is an expert in their own life,” he said, and the example that got me was his kids yelling across the house about how to beat a level in Minecraft. In that one small section of life, his oldest son was the expert. So the thing he leaves you with is simple and a little uncomfortable: you already have something worth teaching, and the only real work is looking back at your own trail long enough to notice what it is. We’re shifting from a creator economy to a builder economy. This is the part I was leaning in for, because it’s exactly what I’ve been living. Travis’s take is that AI has handed everyone the capacity to build, not just to make content. “AI has given us the capacity to build, where anybody can build software, anybody can build agents, workflows,” he said, “and I really encourage anybody that watches this to go start doing that just for fun on the side.” I told him about the workout app my wife and I both wanted but couldn’t find, so one weekend I sat down in Claude Code (Anthropic’s coding tool you run by talking to it), took screenshots of the two apps we were each paying fifteen dollars a month for, listed the features we actually wanted, and built our own. I’ve used it almost every day for six months. That used to take a team and a budget, and now it takes a curious Saturday. In the age of infinite output, taste is the edge. So if anybody can build anything, what’s actually scarce now? Travis’s answer is taste, and taste comes from being an expert who knows what to leave out. He pointed to In-N-Out here in Southern California, how the whole brand is a curated menu, a few things done well instead of a wall of options. “It’s really good at producing a lot of stuff quickly,” he said about AI, “but how do you have taste? How do you curate the good? That’s the next real expert, the person who knows how to navigate that and still produce high-quality stuff.” His advice for getting started is to build in a vacuum for a while and be your own first customer, because the fastest way to develop taste is to make something you’d actually use. That’s the same thread of adaptability and creativity I keep writing about in the AI Leadership Triad [https://leadershipinchange.com/p/the-ai-leadership-triad-3-skills]. The tools got cheap, so judgment is the job now. One Question to Sit With What’s the one pain, yours or a customer’s, that you’d build for first now that the tools aren’t the hard part anymore? Watch the full conversation above, and then go follow Travis Rosser [https://linkedin.com/in/travisrosser] and check out what he’s building at Wazi [https://wazi.ai/] and PageSumo [https://pagesumo.com/]. About Travis Rosser Travis Rosser is the co-founder of Kajabi, the platform creators have used to sell more than $10 billion in courses, coaching, and digital products. He’s the author of You, Inc., a book about turning your own knowledge into a business through what he calls the Four P’s. These days he’s building two new tools with AI: Wazi (wazi.ai) and PageSumo (pagesumo.com). Follow his work on LinkedIn [https://linkedin.com/in/travisrosser]. About me Joel Salinas is an Executive AI Coach for leaders at small and mid-sized businesses and nonprofits. 1:1 coaching, team workshops, and AI strategy work built around amplifying what your team is already good at. Creator of the AI Leadership Triad. He writes Leadership in Change. If you want help thinking through your own AI strategy or online presence, start here [https://jsalinas.org/]. Written by a human, for humans. Thank you Colette Molteni [https://substack.com/profile/40065452-colette-molteni], Claire Machado [https://substack.com/profile/168845660-claire-machado], Duncan The Sage [https://substack.com/profile/254449706-duncan-the-sage], Tiffany Farley [https://substack.com/profile/147396782-tiffany-farley], Chris Winter [https://substack.com/profile/97704591-chris-winter], and many others for tuning into my live video with Travis Rosser [https://substack.com/profile/170949930-travis-rosser]! Join me for my next live video in the app. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leadershipinchange.com/subscribe [https://leadershipinchange.com/subscribe?utm_medium=podcast&utm_campaign=CTA_2]

Cory Blumenfeld: The Founder Bottleneck, Delegation, and the Human Premium

Most of us start a business to get our time back, and somehow end up the one person it can’t run without. In this Substack Live I sat down with Cory Blumenfeld [https://substack.com/profile/423652963-cory-blumenfeld], a five-time founder who built a virtual assistant company called BlueMoso [https://bluemoso.com/], on how to stop being the bottleneck in your own company. We get into why the system usually only exists in the founder’s head, how to hire for the match instead of just the skill, and the line I keep coming back to: AI is for tasks, people are for outcomes. Watch the full conversation above. Also, click below to subscribe on Apple Podcasts! 👇 Outline (00:00) – Intro: who Cory is and how he got to Substack (01:20) – Why human content is becoming a premium tier (01:56) – Five businesses, zero experience, and learning by building (08:42) – The founder bottleneck: leading from the backseat (10:06) – If you got sick tomorrow, would the business survive? (14:28) – Type-A founders, trust, and hiring for the match (16:46) – The hiring framework: skill, work style, communication, personality (20:03) – VAs are for outcomes, AI is for tasks (22:10) – Humans with AI, not AI versus humans (23:25) – Everyone is starting at zero with AI (33:49) – Why he named it Taking My Time Back My Takeaways The founder is the bottleneck. So the whole conversation really starts here. The minute a company can’t survive without the founder in every decision, the founder has stopped leading and started blocking. Cory said it about as bluntly as it gets: “Any founder, any CEO trying to lead from the backseat drives the car off the road.” I’ve watched this one up close, and the test I keep coming back to is simpler than people want it to be. If it’s all hinging on you, you’re not leading well, you’re just busy. The system only exists in your head. Here’s the part founders hate to hear. When delegation fails, we blame the hire. Cory’s take is that the real problem is upstream, because the playbook never left your head. He fixed it by writing his whole content process down so completely that his assistant couldn’t fail. “I documented my strategy, made it super clear so they couldn’t fail. I set them up for success, and it started working.” That reframed it for me. The bottleneck usually isn’t your team’s ability, it’s the stuff you’ve never bothered to get out of your own head. Hire for the match, not just the skill. When I asked Cory how he actually trusts people enough to step back, he didn’t start with skill. He started with fit, work style, communication style, personality, and then skill. “Hiring someone is not just skill alone. What’s their work style? What’s their communication style? The match is everything.” And he was honest about why most of us struggle with it. A lot of founders are type-A with trust issues, me included on some days. If you hired someone for a skill you don’t have, the worst thing you can do is hover. Give them the room to be good at the thing you brought them in for. AI is for tasks, people are for outcomes. This is the line I’ll be repeating for a while. Cory draws a clean line between what you hand a person and what you hand a machine. “You don’t bring in a virtual assistant to work on a task. You bring them on to deal with an outcome. You bring on AI to deal with individual tasks.” I told him on the spot that’s a quote CEOs could put on their walls, and I meant it. It also points at where this is going. When everyone has AI doing the repetitive work, the human part, the judgment, the relationship, the actual experience, stops being the cheap part and becomes the premium one. Figuring out where AI fits and where your people have to stay is most of what I work on with the leaders I coach. If you want to talk it through, my calendar is here [https://jsalinas.org/call]. One Question to Sit With If you got sick tomorrow and unplugged for two weeks, would your business still be standing when you got back? Sit with the honest answer. Watch the full conversation above, and go subscribe to Taking My Time Back [https://takingmytimeback.substack.com/], Cory’s Substack on helping founders win their time back. About Cory Blumenfeld Cory Blumenfeld [https://substack.com/profile/423652963-cory-blumenfeld] is the Founder and CEO of BlueMoso, a managed virtual assistant service for founders, executives, and agencies, with a vetted talent pool of more than 70 assistants and specialists. He’s a five-time founder with two exits across health tech, fintech, and outsourcing, and he runs his companies remotely from Playa del Carmen. He writes Taking My Time Back [https://takingmytimeback.substack.com/] on Substack. About me Joel Salinas is an Executive AI Coach for leaders at small and mid-sized businesses and nonprofits. 1:1 coaching, team workshops, and AI strategy work built around amplifying what your team is already good at. Creator of the AI Leadership Triad. He writes Leadership in Change. If you want help thinking through your own AI strategy or online presence, start here [https://jsalinas.org/]. Written by a human, for humans. Thank you Ankita Chatrath [https://substack.com/profile/13594119-ankita-chatrath], Janet Macaluso [https://substack.com/profile/49449603-janet-macaluso], and many others for tuning into my live video with Cory Blumenfeld [https://substack.com/profile/423652963-cory-blumenfeld]! Join me for my next live video in the app. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leadershipinchange.com/subscribe [https://leadershipinchange.com/subscribe?utm_medium=podcast&utm_campaign=CTA_2]

Mallory Erickson: AI, Fundraising, and the Human Work

Much of the AI conversation in the business world, for those who have not used AI much, is some version of: kick your feet up, drink the piña colada, watch your revenue shoot up. I’ve seen that promise up close on the fundraising side of the humanitarian work I do, and on a lot of teams AI is the enemy in the room before it’s anything else. Mallory Erickson [https://substack.com/profile/331047755-mallory-erickson] started exactly where most of her sector started, nervous, protective, sure AI was going to hollow out the most human work there is, and then she built something that does the opposite. She’s spent her whole career on connection, she’s trained over 100,000 fundraisers, and instead of letting AI replace the fundraiser, she flipped the entire thing and made the donor the robot so the human gets to practice. Watch the full conversation above. Also, click below to subscribe on Apple Podcasts! 👇 Outline (0:31) – Bringing AI into deeply human work without hollowing it out (1:03) – From accidental fundraiser to founder of Practivated (2:30) – Why she avoided tech, and the fear that started it (4:16) – Personalization at scale, but for fundraisers (9:26) – The rise of “robot fundraisers” and why it broke her (10:28) – The flip: what if the donor is the robot? (15:50) – Start with the problem, not the AI (21:55) – Rolling AI out to a hesitant team: validate the fear (25:26) – Give your team a stipend to play (31:42) – The results: 280% more human donor touchpoints (32:39) – The LeBron test: the best still put in the reps (38:11) – A charge to practitioners: build what you need My Takeaways The flip. Most AI products aimed at fundraisers are built to replace the fundraiser, the autonomous “robot fundraiser” that writes the appeals and works the donors so you don’t have to. Mallory watched that trend and reacted the way I wish more people would, by refusing it: “If our answer to fundraiser burnout is to replace human fundraisers with robots, we can do so much better than that.” So she flipped it. “What if the fundraiser isn’t the robot? What if the donor is?” Inside Practivated the AI plays the donor, the human role plays the hard conversation, gets scored, and builds the muscle memory before the real ask. I keep coming back to that flip, because it’s the same move every leader should be making, which is to point AI at the practice and the reps instead of at the people doing the work. It’s the version of AI I argued for in Can AI Make You a More Human Leader? [https://leadershipinchange.com/p/can-ai-make-you-a-more-human-leader], and she actually built it. Start with the problem, not the AI. This is the part of the conversation I keep coming back to, because it’s exactly what I tell the executives I coach. Mallory has closed deals lost on purpose, walked away from organizations that came to her wanting “more AI” with no real problem behind it. Her test is simple: what have you been trying to solve that you’ve thrown everything at and still can’t crack, and is there an emerging tool that could finally move it? As she put it, “AI is not the point. The goal is to solve your challenges.” Validate the fear before you roll anything out. I asked her how she’d introduce AI to a team that’s all over the map on it, and her first move surprised me, because it had nothing to do with the tool. She said there shouldn’t be AI adoption without first being ready to acknowledge and validate people’s fear, not to agree that AI is scary, just to give the fear a place to exist before it hardens into resistance. “It’s really important that we’re acknowledging and validating how people feel.” Then she does something I love, she gives her whole team a monthly stipend to just play, with two rules: have a hypothesis going in, and come back and tell the team what you learned. The reps don’t stop because you’re good. The skeptic line Mallory hears most is “I’ve been fundraising for twenty years, I don’t need to practice.” Her answer is the one I’m going to start stealing in my own coaching: “Can you imagine if we said LeBron James is such a good basketball player, he doesn’t need to practice anymore? Simone Biles? Absolutely not. The people at the top of their game are putting in the reps.” And the numbers are backing her up, a 280% increase in human-driven donor touchpoints, onboarding cut from eight weeks to two, ask effectiveness up 33% in the first 30 days. AI didn’t replace the human in any of that, it gave the human a place to practice so they could show up more present when it actually counted. One Question to Sit With Where in your own work are you reaching for AI before you’ve named the problem it’s actually supposed to solve? Mallory’s whole practice is built on refusing to skip that question, and I haven’t stopped chewing on how often the rest of us do. Watch the full conversation above, and then go follow Mallory’s [https://www.linkedin.com/in/mallory-erickson-bressler/] work at Practivated [https://practivated.com/] and her What the Fundraising [https://malloryerickson.com/podcast/] podcast. About Mallory Erickson Mallory Erickson is an executive coach, fundraising consultant, and the host of the What the Fundraising podcast. She has trained over 100,000 fundraisers, co-founded the Fundraising AI initiative, and is the founder of Practivated, an AI practice platform where fundraisers role play donor conversations and get coached on what to do differently next time. Her North Star, in her own words, is improving the lives of fundraisers. You can find her work at practivated.com [https://practivated.com/]. About me Joel Salinas is an Executive AI Coach for leaders at small and mid-sized businesses and nonprofits. 1:1 coaching, team workshops, and AI strategy work built around amplifying what your team is already good at. Creator of the AI Leadership Triad. He writes Leadership in Change. If you want help thinking through your own AI strategy or online presence, start here [https://jsalinas.org/]. Written by a human, for humans. Sidenote… do you write on Substack? Build smarter, not just harder, with NewsletterCompass.com [https://www.newslettercompass.com/]. As a co-founder, I’m giving you 50% off for life… 👇 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leadershipinchange.com/subscribe [https://leadershipinchange.com/subscribe?utm_medium=podcast&utm_campaign=CTA_2]

The Map of AI, Redrawn: Gennaro Cuofano on the Semiconductor Moment

If you’ve spent any time trying to make sense of where AI is actually going, not the headlines but the structure underneath all of it, you’ve probably run into Gennaro Cuofano [https://substack.com/profile/19791492-gennaro-cuofano]’s work without knowing it was his. He built The Business Engineer [https://businessengineer.ai/?lli=1&utm_source=mention&utm_content=writes](spun off from FourWeekMBA) into a research hub more than 90,000 people follow, and he just launched something new called The AI Supercycle. [https://thesupercycle.ai/] I wanted to sit down with him because he maps this stuff for a living, and his read on it is different from almost everyone else’s. His core claim is that we keep comparing AI to the internet when the better comparison is the 1950s, the moment we built the computer for the first time. That one reframe changes where you look for advantage, who you watch, and how far ahead you’re allowed to plan. Watch the full conversation above. Also, click below to subscribe on Apple Podcasts! 👇 Outline (1:10) – From FourWeekMBA to The Business Engineer (4:34) – Why launch The AI Supercycle now (8:18) – The semiconductor moment, not the internet (14:43) – The nine-layer map and why governance sits on top (17:41) – Spinning hundreds of agents to run a business (19:45) – Governance, government, and the Palantir layer (24:01) – Why human conversations beat the AI content flood (26:35) – The Builder PM and the role that split in two (31:25) – Orchestrating agents in real disaster response (38:24) – From SaaS to Agent-as-a-Service (40:02) – Audience question: what happens to SaaS? My Takeaways The semiconductor moment. Gennaro’s whole thesis hangs on a historical analogy, and it’s the thing I keep coming back to. Everyone wants this to be the internet, a 20 or 25 year cycle. He thinks that’s the wrong map. As he put it: “We’re building the computer. It’s not the web. It’s the 50s, 60s, 70s, when we built the computer for the first time. This is a 30 to 50 year cycle.” What got me is that most analysts I talk to are afraid to forecast past three years right now, and here’s someone calmly drawing a map for the next three decades. Governance on top. I told him I loved his nine-layer map of AI, because he does something nobody else does, he puts governance at the very top, above the models, above the chips, above everything. His reason is blunt: the frontier now answers to government, and there’s no getting around it. “That’s why the governance layer is going to become one of the most important for the top of the frontier. There’s no way out.” He pointed to Palantir already routing different AI models through everything the government does. If you only read the tech headlines, you miss the layer that actually decides what ships. The Builder PM. Gennaro’s been a filter between clients and technical teams for years, so this one is lived, not theoretical. Building got easy. Everything around the build, the integration, the deployment, the org politics, got harder. So the product role split. The new version turns a client’s specs into something testable in six months instead of three years, which makes the PM a hybrid of builder and orchestrator. I see the same thing in my World Relief work, where we now run a team of agents for disaster response and a human has to sit at the center coordinating the writers, the researchers, the photographers. You stop being the doer and become the architect. From SaaS to Agent-as-a-Service. His prediction for the next 18 months is that per-seat, per-human pricing breaks, because your biggest customer stops being a person and becomes a fleet of agents consuming your software millions of times over. “There will be many SaaS companies worth 100x more, because now with the agents you get a level of consumption you didn’t have before.” The way I said it back to him: the pie went from being this big to unlimited. Sidenote… do you write on Substack? Build smarter, not just harder, with NewsletterCompass.com [https://www.newslettercompass.com/]. As a co-founder, I’m giving you 50% off for life… 👇 One Question to Sit With When everyone has the same frontier models for twenty dollars a month, where does your advantage actually move to? Gennaro’s answer is “down the stack, toward governance and infrastructure,” and I haven’t stopped chewing on it since. Watch the full conversation above, and then go subscribe to The AI Supercycle [https://www.supercycle.ai/]. It’s the clearest map of this moment I’ve found. About Gennaro Cuofano Gennaro Cuofano is the creator of The Business Engineer, a deep-tech research hub spun off from FourWeekMBA, the business-model-strategy blog he started in 2015 and grew past 90,000 subscribers. A tech executive by day, he writes about the structural shifts reshaping business in the AI era and just launched The AI Supercycle, a newsletter and podcast decoding where the next 30 years are heading. Subscribe at supercycle.ai [https://www.supercycle.ai/]. About me Joel Salinas is an Executive AI Coach for leaders at small and mid-sized businesses and nonprofits. 1:1 coaching, team workshops, and AI strategy work built around amplifying what your team is already good at. Creator of the AI Leadership Triad. He writes Leadership in Change. If you want help thinking through your own AI strategy or online presence, start here [https://jsalinas.org/]. Written by a human, for humans. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leadershipinchange.com/subscribe [https://leadershipinchange.com/subscribe?utm_medium=podcast&utm_campaign=CTA_2]

Bryan Cassady: Why AI-First Strategy Fails and Objectives Win

AI keeps getting better, so why aren’t your results getting better? Bryan Cassady [https://www.linkedin.com/in/bryancassady/]’s answer: Most people are getting more output, not better work, because they skip the thinking and go straight to the tool. In this Substack Live we get into his Type 3 error (doing the wrong thing, fast), why objectives have to come before any tool, the real $11,000-a-year cost of AI that most leaders never count, and what a generative organization actually is. If your team has AI and still isn’t getting results, this is the conversation to watch. Also, click below to subscribe on Apple Podcasts! 👇 Outline (00:00) – Bryan’s mission: a million people getting results from AI by 2027 (01:02) – Better models, worse results: the human half of the equation (03:16) – How Bryan started: “six months ahead of everyone else” (05:16) – Objectives first, tools second (07:33) – The Type 3 error: doing the wrong thing, but doing it right (09:57) – The Dan Ariely story: six months on a hallucinated theorem (11:28) – Think first: Einstein’s 55 minutes on the problem (15:26) – From an answer economy to a question economy (16:20) – Strategic clarity and the $11,000 cost of AI (18:48) – What a generative organization actually is (24:00) – The 3% AI can’t do, and why it sets you apart (31:00) – Bryan’s giveaways: free books, tools, and a beta course My Takeaways The Type 3 error. So here’s the frame I keep coming back to from this whole conversation. Bryan put it like this: a Type 3 error is when “you’re doing the wrong thing, but you do it right.” And the problem with AI is you can now do the wrong thing really fast and feel great about it the whole time. I’ve had people hand me a polished 25-page deliverable that nailed every step of a question nobody actually needed answered. Objectives first, tools second. Bryan’s line on this is the one I’d put on the wall: “AI first is silly. It’s like being a carpenter who wants to be a hammer-first carpenter. A hammer can do cool things, but it doesn’t do everything.” Most leaders are out shopping the 75,000 listings on a site like There’s an AI for That (a directory of AI tools) when the real first move is naming the objective and then picking the tool that serves it. Get that order wrong and you just bought a faster way to drift. The $11,000 nobody budgets for. Here’s the part that should stop every leader who thinks AI is a $20-a-month decision. Bryan cited a Gartner study putting the time people spend controlling, revising, and re-editing AI output at around five hours a week, which works out to roughly $11,000 a year for a typical US knowledge worker. “Do you get $11,000 more benefit from using AI? Of course you can, but only if you do it smart.” Most don’t. And that’s before you count what poorly rolled-out AI does to a team’s trust in their own leadership. The 3% AI can’t touch. This is where it got good. Bryan's argument, borrowed from an innovation method called TRIZ [https://www.triz.co.uk/what-is-triz], is that about 97% of what we call innovation is really recombining things that already exist, and AI does that better than almost any human. But the last 3%, the genuinely new, the thing that doesn't exist yet, that's still you. “Humans have an ability to look forward. AI has an ability to look backward.” That 3% is the creativity and judgment no model hands you, which is exactly what the AI Leadership Triad [https://leadershipinchange.com/p/the-ai-leadership-triad-3-skills] is built around. Pair it with his bigger shift, that we’ve moved “from an answer economy to a question economy,” and the job gets clearer: stop racing the machine on answers and get very good at the question. Two things Bryan is giving Leadership in Change readers: * Both of his books, free, plus his PDF innovation tools — books.genorg.ai [https://www.books.genorg.ai/] * A free, private check on how you actually use AI: paste his assessment into ChatGPT or Claude, and it scores you 0 to 10 from your own chat history — get the assessment [https://shares.showellapp.com/yNgk9qeArvSKm9Wm8nYxmVGY] * A free spot as a beta tester for his new AI course (10 lessons, 10 minutes a day, with a before-and-after read on how you actually use AI) — grab a beta seat here [https://forms.gle/faPr6L9GXmpYxn7UA] One Question to Sit With When’s the last time you spent five whole minutes on the problem before you opened the AI? Bryan says when he asks a room that, almost every hand goes down. Watch the full conversation above, and then go grab Bryan’s free books and tools at books.genorg.ai [https://www.books.genorg.ai/]. About Bryan Cassady Bryan Cassady [https://www.linkedin.com/in/bryancassady/] is the founder of GenOrg [https://genorg.ai/] and the author of The Generative Organization. He’s an AI keynote speaker [https://bryancassady.com/] who has trained more than 40,000 people, and says he’s now helped around 90,000 toward his goal of a million people getting real results from AI by 2027. He also sits on the board of the US association for TRIZ, the structured innovation method he teaches. Get both of his books and his innovation tools free at books.genorg.ai [https://www.books.genorg.ai/]. About me Joel Salinas is an Executive AI Coach for leaders at small and mid-sized businesses and nonprofits. 1:1 coaching, team workshops, and AI strategy work built around amplifying what your team is already good at. Creator of the AI Leadership Triad. He writes Leadership in Change. If you want help thinking through your own AI strategy or online presence, start here [https://jsalinas.org/]. Written by a human, for humans. Thank you Farida Khalaf [https://substack.com/profile/47192869-farida-khalaf], Claire Machado [https://substack.com/profile/168845660-claire-machado], Duncan The Sage [https://substack.com/profile/254449706-duncan-the-sage], and many others for tuning into my live video with Bryan Cassady [https://substack.com/profile/123257765-bryan-cassady]! Join me for my next live video in the app. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leadershipinchange.com/subscribe [https://leadershipinchange.com/subscribe?utm_medium=podcast&utm_campaign=CTA_2]