Podcasts about 100x

Today on The Survival Podcast the expert council answers your questions on money, diet, dog training, self directed learning, solar power, parasites, gardening and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely your question … Continue reading →

This episode is sponsored by Deel.Ensure fair, consistent reviews with Deel's calibration template. Deel's free Performance Calibration Template helps HR teams and managers run more equitable, structured reviews. Use it to align evaluations with business goals,reduce bias in ratings, and ensure every performance conversation is fair, consistent,and grounded in shared standards.Download now: www.deel.com/nickdayIn this episode of the HR L&D Podcast, host Nick Day sits down with Matt Leta - digital pioneer, bestselling author, and CEO of Future Works - to explore how leaders can adopt AI effectively within their organizations.Matt shares practical strategies from his book “100X”, explaining how executives can integrate AI without disrupting culture or workflow. He reveals why most AI projects fail, how to overcome fear and resistance, and what it really takes to build an AI-ready business.Whether you're an HR leader, CEO, or L&D professional, this conversation will help you move from hesitation to confident action, using AI to unlock productivity, performance, and innovation across your teams.100X Book on Amazon: https://www.amazon.com/dp/B0D41BP5XTNick Day's LinkedIn: https://www.linkedin.com/in/nickday/Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter - https://jgarecruitment.ck.page/23e7b153e7(00:00) Preview(01:17) Introducing Matt Lea(03:21) What “Human Resources” Means in an AI Era(07:37) Why Most AI Projects Fail (and How to Fix It)(12:00) The 100X Framework for Practical AI Adoption(18:19) The LEAP Model: One Hour per Week(20:52) Overcoming Fear & Building an AI-Ready Culture(31:45) Lead Through Value, Not Time(36:30) HR & L&D as AI Transformation Catalysts

Today on The Survival Podcast the expert council answers your questions on social media, resilience, the Denver steak, fitness, foraging, investing, CB radios, Self Sovereign LLMs, Bitcoin and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X … Continue reading →

Today on The Survival Podcast the expert council answers your questions on foreign policy, community, tax scammers, fun fitness questions, dog training, foraging, knives, debates and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely … Continue reading →

Warum Tesla mehr als ein Autokonzern ist – und Hims & Hers die spannendste Gesundheitsaktie seit Jahren sein könnte. Max Rahm ist zum ersten Mal zu Gast bei echtgeld.tv – und bringt direkt zwei Hochkaräter mit. Während Tobias Kramer kritisch bleibt, entfaltet Max seinen Investment Case für zwei Unternehmen mit riesiger Fallhöhe – aber auch gigantischem Potenzial.

What if your goals are too small—and your timelines too long?   In this deep-dive conversation, Dr. Benjamin Hardy (author of "The Science of Scaling" and "10x Is Easier Than 2x") challenges Ryan to rethink what it really means to scale. Together they unpack why the right goal is less about certainty and more about clarity, how collapsing time transforms strategy, and why raising the floor often means cutting what feels “good enough.”   They explore: Why a billion-dollar goal can be more useful than a hundred-million-dollar one How to filter distractions and find the few “who's” that change everything The psychology behind hidden commitments and unconscious goals Lessons from Tom Brady, Elon Musk, and entrepreneurs who actually scale Why focus and courage matter more than confidence at the start   Whether you're building your first business or running a portfolio of brands, this episode will challenge you to strip away distractions, clarify your true north star, and use time as the most powerful tool for scaling.   CHAPTERS 00:00:00 Intro: Goals, human systems, and impossible targets 00:06:30 Pivot and focus: Ben's move to books, audio, and strategic psychology 00:13:00 Learning styles and focus: high/low rep learning and raising the floor 00:19:30 Collapse time: What changing deadlines reveals (100M by 2030 → 2027) 00:26:00 Team design and acquisitions: who to hire, what to cut, and thresholds 00:32:30 Pathways thinking: finding the high-leverage who vs doing more work 00:39:00 Power law in practice: distribution, capability, and leverage examples 00:45:30 Breakout case study: Alicia Alt's rapid scaling through partnership 00:52:00 Margin and leverage: collaborators who bring the path and distribution 00:58:30 Sports and focus: Tom Brady vs others as a model for singular goals 01:05:00 Company goals and accountability: choosing a north star and raising standards 01:11:30 Hidden commitments: immunity to change and psychological blind spots 01:18:00 Close: belief, courage, and practical next steps

I denne episoden har vi med oss investor og rådgiver Trond Riiber Knudsen. Han deler hvordan han tenker når han investerer i selskaper, hvorfor han alltid sikter mot 100x avkastning, og hvilke egenskaper han mener kjennetegner gründere som lykkes. Dette er en episode full av konkrete tips for deg som vurderer å starte selskap – eller som er nysgjerrig på hvordan de største investorene tenker.Takk for at du lytter til Impressions Podcast! Har du forslag til gjester vi kan invitere? Send oss en melding på sosiale medier:Instagram: instagram.com/impressionspodTikTok: tiktok.com/@impressionspod Hosted on Acast. See acast.com/privacy for more information.

Bitcoin isn't just an asset, it's a need! Peter Dunworth explains why Bitcoin still holds 100x potential, how treasury companies act as a Trojan horse for adoption, and why the next decade will reshape everything we know about cycles, capital flows, and freedom. This episode will change how you think about Bitcoin's future.SPONSORS:✅ Lednhttps://learn.ledn.io/simplySimply Bitcoin Clients get .25% OFF their first loan

Du kannst der deutschen Geschichte nicht entkommen.Mit der Wiedereinführung der Wehrpflicht und der Eskalation des Kriegs in Europa stellt sich für junge deutsche Männer eine brutale Frage. Hier geht es nicht nur um Steuern oder Freiheit – es geht um dein Leben und deinen Tod.Dieses Video präsentiert eine schockierende statistische Analyse der letzten 500 Jahre, die beweist: Für einen jungen Mann ist Deutschland der gefährlichste Ort der westlichen Welt.Die ungeschönten Fakten aus 500 Jahren Geschichte:

Today on The Survival Podcast the expert council answers your questions on politics, resilience, dogs, hunting, weight loss, political violence and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely your question will get though … Continue reading →

NRHA 5 Million Dollar Rider, Casey Deary is the first and only man to ride and train a reining horse that has surpassed One Million Dollars in lifetime earnings, you might know the horse as DOWN RIGHT AMAZING owned by DAG Ventures. We had the pleasure of sitting with Casey LIVE at the 100X Tulsa Reining Classic to talk over all things reining, Casey's story, and the guy's views on the ever-changing horse industry. We figured there's no better time to have Casey on the show than following his big wins at the NRHA Derby and American Performance Horseman - where he celebrated the Million Dollar Milestone for "Amazing."Casey is always a pleasure to have on the show, he's just as quick witted as Tom which makes for some first class entertainment.Tune in today, we think you'll love this one!Big thanks to the team at Ranch Fuel & 100X Shows for hosting this live episode. And thank you to sponsors CINCH Jeans & Leonard Truck and Trailer for supporting The Show!GROW THE SHOW!

Join host David Pisarek and AI strategist Susan Diaz, founder of Peaceful AI Marketing, for a practical conversation about how non-profits can utilize artificial intelligence to save time, reduce overwhelm, and amplify their mission without losing the human touch.In this episode of the Non-Profit Digital Success Podcast, Susan unpacks real use cases and mindset shifts that help teams work smarter. From using AI for brainstorming and reporting to building more engaging content, you will hear concrete ways to integrate AI safely and ethically.You will discover how to:Identify low-effort, high-impact AI tasks that free up staff timeBuild a simple, resilient AI workflow for research, drafts, and data clean-upAdopt a 100X thinking model, use saved time to focus on strategy and impactAvoid common pitfalls around privacy, bias, and ethicsTurn dry updates into human, story-led content that supporters actually readIf you are starting with AI or levelling up what you already do, this episode gives you clear steps to simplify your day and grow your impact.Subscribe, rate, and share to help more non-profits win with digital.

The Ether Machine is creating the largest public vehicle for institutional-grade Ethereum exposure.The Ether Machine has raised $654 million worth of ether in private financing, it said on Tuesday, as the cryptocurrency firm expands its treasury strategy ahead of its Nasdaq listing later this year.~This Episode is Sponsored By Coinbase~ Buy $50 & Get $50 for getting started on Coinbase➜ https://bit.ly/CBARRONGuest: Andrew Keys, Co-founder & Chairman at The Ether MachineThe Ether Machine Website➜https://bit.ly/TheEtherMachine00:00 Intro00:10 Sponsor: Coinbase00:40 Top 3 Treasury companies01:35 Andrew Keys & $ETHM background10:00 Corporate Strategy13:10 Microsoft story15:00 Ether for corporate treasuries16:50 Microsoft adding ETH to its treasury vs buying $ETHM?17:35 Microsoft XBOX the key to mass adoption?19:25 Is $ETHM investing in any L2 tokens?20:00 Why not create your own L2?20:40 Buying out other treasury companies23:00 Cathie Wood late to the ETH game?24:45 ETH already hitting supply shock26:00 Fusaka upgrade coming28:15 Tokenizing $ETHM29:00 ETH Price Prediction29:50 Outro#Crypto #Ethereum #ETH~Microsoft Wants 100% Staked ETH

Summary In this episode of the AI for Sales podcast, Chad Burmeister interviews Shane H. Tepper, a creative director and content strategist, about the transformative impact of AI on sales and customer experience. They discuss the evolution of search engines, the importance of citation sources, and the balance between AI automation and human touch. Shane shares insights on job creation versus elimination in the AI landscape, emerging technologies, and the ethical responsibilities that come with AI advancements. The conversation highlights the potential for small companies to leverage AI for growth and the need for ethical guidelines in AI development. Takeaways AI is changing how brands are discovered and compared High-intent users are more prevalent in LLM searches AI can track citation sources for better lead generation Job roles are shifting from executional to strategic due to AI Human touch is essential in AI-driven customer interactions Emerging technologies are simplifying workflows in content creation AI can enhance the efficiency of sales teams Ethics in AI is a growing concern that needs attention The future of sales will involve more automation and less headcount Small teams can achieve significant growth with AI tools Chapters 00:00 Introduction to AI in Sales 02:55 The Evolution of Search and Brand Discovery 05:34 AI's Impact on Customer Experience 08:14 Tracking Leads and Citation Sources 11:06 Job Creation vs. Job Elimination in AI 13:47 Balancing AI Automation with Human Touch 16:42 Emerging Technologies in AI 19:26 The Future of Sales and AI Integration 22:26 Ethics and Responsibility in AI 27:57 Conclusion and Future Outlook Proudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Summary In this episode of the AI for Sales podcast, Chad Burmeister interviews Mark Donnigan, a virtual CMO and expert in leveraging AI for marketing. They discuss the evolution of marketing pods, the disconnect between leads and revenue, and how AI is transforming the customer journey. Mark shares insights on the importance of personalization, value exchange, and the ethical considerations surrounding AI usage. The conversation emphasizes the need for a balance between automation and human oversight in marketing strategies. Takeaways AI is revolutionizing the customer journey by enabling better personalization. There is often a disconnect between the number of leads generated and actual revenue. Investing in qualified leads does not always guarantee a return on investment. Personalization at scale is essential for effective marketing. Value exchange is crucial for engaging customers and driving conversions. Content creation should be diverse, including video, audio, and written formats. Balancing automation with personalization is key to successful marketing. Ethical considerations in AI usage are critical for responsible marketing. Understanding the market and customer needs is essential for effective marketing strategies. AI tools require human oversight to ensure quality and relevance. Chapters 00:00 Introduction to Marketing Pods and AI 02:17 The Disconnect Between Leads and Revenue 04:58 AI's Impact on the Customer Journey 08:18 Leveraging AI in Marketing Case Studies 11:20 The Importance of Value Exchange in Marketing 13:56 Content Creation and Personalization at Scale 18:57 Balancing Automation with Personalization 23:44 Ethical Considerations in AI Usage 36:33 Conclusion and Resources Proudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Today on The Survival Podcast the expert council answers your questions on war, underrated beef cuts, permaculture, nuclear power, taxes, road rash and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely your question will … Continue reading →

The team discusses the UK government's apparent climbdown over its previous demands for a back door into Apple users' encrypted communications, and casts an eye over Google's new range of Pixel 10 smartphones. We also look at who's investing in Intel, and ponder how we feel about paying a subscription to unlock extra performance in your car. For the first time ever, we conclude with a “Hot Platform”, comprising the latest release of Blackmagic's DaVinci Resolve video-editing software, the new URSA Cine Immersive camera and the Apple Vision Pro you'll need in order to watch your immersive footage.

Summary In this episode, Chad Burmeister speaks with Richard Savoie, CEO of Adiona, about the transformative impact of AI in logistics and sales. They discuss how AI can enhance productivity, improve customer experience, and address labor shortages in the supply chain. The conversation also touches on the misconceptions surrounding AI, the balance between automation and human touch, and the ethical responsibilities that come with deploying AI technologies. Takeaways AI is set to revolutionize productivity in logistics. The convergence of AI and robotics addresses labor shortages. AI enhances customer experience through data management. Transforming sales processes with real-time data insights. Misconceptions about AI include fears of job displacement. AI should augment human roles, not replace them. Trust and relationships remain crucial in sales. AI can help prioritize urgent deliveries in real-time. Ethical considerations are vital in AI deployment. Organizations must manage expectations around AI capabilities. Chapters 00:00 Introduction to AI in Logistics 03:04 The Impact of AI on Customer Experience 05:35 Transforming Sales Processes with AI 08:43 AI Misconceptions and Job Security 11:25 Balancing Automation with Human Touch 14:28 Ethics and Responsibilities in AI Deployment 17:01 Future Trends in AI and Supply Chain Proudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Scott and Wes break down the latest in web dev news, from Amazon's AI-powered VS Code fork and Node's native TypeScript support, to Vite overtaking Webpack and Svelte's newest async and remote features. They also cover big moves in developer tools, fresh browser experiments, and what these shifts mean for the future of coding. Show Notes 00:00 Welcome to Syntax! 04:08 Kiro. Kiro Video. 09:05 Node 22.18 allows TypeScript without compiler. 11:42 React Router RSC, Parcel + Vite Support. 12:56 Windsurf Bought for real this time. 14:25 Brought to you by Sentry.io. 14:49 Copyparty, the FOSS file server Codeparty Video Codeparty on GitHub. 23:22 Vite Overtakes Webpack. Evan You X Post. 25:16 Rolldown Vite. void0 Rolldown-Vite. 27:06 Claude Code pricing clamp down. Wes' X Post. 30:07 Async svelte released. Async Svelte Discussion. 31:41 Remote Svelte Released. Remote Functions. 34:59 Trae Solo. 37:58 Perplexity Comet Browser. 43:07 Sick Picks + Shameless Plugs. Sick Picks Scott: Black Stuff. Wes: MEKOH Short Pressure Washer Gun with Swivel. Shameless Plugs Scott: Syntax on YouTube. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Summary In this episode of the AI for Sales podcast, host Chad Burmeister interviews Ari Galper, a leading authority on trust-based selling. They discuss the importance of building trust in sales, the role of AI in enhancing customer experience, and the misconceptions surrounding AI technologies. Ari shares insights on his unique One Call Sale method, the ethical considerations of AI, and practical tips for sales professionals to improve their trust-building skills. The conversation emphasizes the need for human connection in an increasingly automated world and how AI can be leveraged to support, rather than replace, this essential aspect of sales. Takeaways Trust is the foundation of successful sales. Sales professionals often confuse delivering solutions with building trust. AI can enhance customer service but cannot replace human connection. The One Call Sale method focuses on deep trust-building conversations. Avoid using the term 'follow-up' as it implies pressure. Building rapport is not the same as building trust. Sales training should focus on trust-building skills. AI can assist in sales but should not create dependency. Ethical considerations are crucial in AI development. Sales professionals need to adapt to the evolving landscape of AI. Chapters 00:00 Introduction to Trust-Based Selling 02:59 The Shift from Solution Delivery to Trust Building 05:41 AI's Role in Customer Experience 08:44 The One Call Sale Methodology 11:25 Misconceptions About AI in Sales 14:15 Balancing Automation with Human Connection 17:22 Building Trust in Sales Conversations 20:04 Ethical Considerations in AI 22:53 Skills for Sellers in the Age of AI 25:41 Conclusion and Key Takeaways Proudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

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Carvana's stock is up over 100x from its lows in 2023, but the story behind the surge is more complex than it looks. In this episode, we unpack how the company went from near-bankruptcy to posting record profits. We'll break down its $7,000-per-car gross margins, the $274 million in loan gains, and the real drivers of its rebound. This is the inside look at Carvana's high-risk, high-reward turnaround.This video is for informational purposes only and reflects the views of the host and guest, not Public Holdings or its subsidiaries. Mentions of assets are not recommendations. Investing involves risk, including loss. Past performance does not guarantee future results. For full disclosures, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Public.com/disclosures⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

summary In this episode of the AI for Sales podcast, Chad Burmeister interviews Jon Gillham, founder of Originality.ai, discussing the significance of originality in the age of AI. They explore the value proposition of originality.ai as a QAQC tool for content, share success stories, and delve into the ethical implications and risks associated with AI. The conversation emphasizes the importance of balancing automation with human oversight and the mindset needed to effectively utilize AI in various industries. Takeaways Originality is crucial in the age of AI. Originality.ai provides a comprehensive QAQC toolkit. Transparency is key for marketers using AI-generated content. AI can pose brand reputation risks if not managed properly. Ethical considerations around AI usage are essential. A curious mindset towards AI can enhance its benefits. Automation should complement human oversight, not replace it. AI slop can lead to misinformation and societal risks. Motion Invest facilitates buying and selling profitable websites. The future of AI will require careful ethical considerations. Chapters 00:00 The Importance of Originality in AI 01:51 Understanding Originality.ai's Value Proposition 04:32 Case Studies and Success Stories 08:07 Risks and Ethical Considerations of AI 11:47 Balancing Automation with Human Touch 18:33 Embracing AI: Mindset and Future Perspectives 20:12 Overview of Motion InvestProudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Today on The Survival Podcast the expert council answers your questions on the Fed, bitcoin, night vision, meat, permaculture stone lines, investing, dogs, snakes, fishing and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely … Continue reading →

Can you believe we're already at the end of July? Whether your kids are already back in school or you're soaking up the last few weeks of summer, this episode is here to help you make the transition smoother (and way less stressful). I'm kicking off our Back-to-School series with five simple reminders that will seriously make your life 100x easier. I'm sharing why it's so important to look back before you move forward (celebrate your summer with my FREE Summer Done List!), how to turn dread into anticipation, and how to name those big feelings so they don't take over. Plus, I'm giving you the friendly nudge to do something now your future self will thank you for—like school supply shopping before the aisles are picked over. And of course, the biggest tip of all: keep it simple, sweetheart. No Pinterest awards needed—just easy rhythms, simple meals, and traditions you can actually repeat. I'm on vacation at the lake while you're listening, but I'd love to hear what tip resonated with you most.  Mentioned in This Episode:

summary In this conversation, Chad Burmeister and Dr. Ashwin Mehta discuss the transformative impact of AI on customer experience and sales processes. They explore how AI can enhance the customer journey, reduce costs, and improve sales outcomes while addressing misconceptions about AI's role in the workforce. The discussion also delves into the ethical considerations of AI deployment and the importance of governance in ensuring responsible use of technology. Dr. Mehta shares insights on various AI technologies and their applications in sales and marketing, emphasizing the need for a hybrid approach that combines human expertise with AI capabilities. takeaways AI is transforming customer experience and sales cycles. Disruption in markets has led to longer sales cycles. AI can help reduce the cost of sale significantly. The market is confused about the meaning of AI. AI technologies are evolving rapidly and can automate many processes. Ethics and governance are crucial in AI deployment. A hybrid approach of humans and AI agents is ideal. Understanding the impact of AI on society is essential. Sales intelligence can be improved with AI tools. The attitudes towards AI are becoming more accepting. Chapters 00:00 Introduction to AI and Customer Experience 02:59 AI's Impact on Sales Cycles and Customer Experience 05:57 Reducing Cost of Sale with AI 09:12 Misconceptions of AI and Digital Labor 12:02 AI Technologies and Their Applications 18:03 Ethics and Governance in AI Deployment 30:08 Future of AI in Business and Continuous LearningProudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Send me a Text Message!What if I told you, that I am a stock guru? And if you will invest $100 using my method you will gain $10,000 by year end, a 100 fold increase.  What would you say? The promise of a 100 fold return on investment seems almost too good to be true.  But if it's true -- it's good.  Isn't it? Apply that to any area of your life, education, exercise, a 100x return on investment sounds too good to be true. But if's true, it would be good, right?In this episode we are looking at a story that Jesus told about 100x gains on investment. An investment of His Word into your heart; are you looking for a 100x return? 

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How do 100X engineers, cheap development, and AI-everywhere workflows flip slow-moving industries and legacy business models? AffiniPay CEO Dru Armstrong joins to discuss how vertical fintech and generative AI reshape professional services, the evolution of a new small-business software stack, and Austin's climb to a top five tech cities.  Highlights00:00 AffiniPay overview & mission02:57 Why solo firms need vertical SaaS05:45 Unified platform vs best-in-class tools08:26 AI's early impact on law and accounting11:39 Billable-hour model under pressure14:20 Where AI in services is heading next17:03 Culture change: adopting AI at work20:14 Automating routine legal workflows30:19 Manufacturing Cost crashes & roles31:40 Austin emerging as a FinTech frontier34:54 Building a legal-payments platform locally39:34 Generative AI's effect on big-law practice45:55 Faster product cycles with AI tools48:35 How engineering roles are evolving53:34 What's Next Austin" “I want Austin in the top five."Guest BioDru Armstrong is the Chief Executive Officer of AffiniPay, LLC, a leading financial technology software provider for professionals, since July 2021, where she has implemented and executed a new strategic direction for the business, including its transformative acquisition of MyCase. Prior to joining AffiniPay, Ms. Armstrong served as Chief Executive Officer of Grace Hill, LLC, a real estate technology and software provider, from June 2016 to July 2021, and as Chief Product Officer from September 2015 to May 2016. Ms. Armstrong received a Master of Business Administration from the University of Chicago Booth School of Business, a Juris Doctorate from the University of Chicago Law School, and a Bachelor of Arts in Economics from Columbia University.Episode LinksDru ArmstrongAffinipayKaleidoscope September 2-4, 2025 -------------------Austin Next Links: Website, X/Twitter, YouTube, LinkedInEcosystem Metacognition Substack

This conversation blew me away. Daniel Tolson is a three-time Australian wakeboarding champion who started his coaching business in his grandmother's spare bedroom. And here's the kicker. The dude doesn't even own a car. Takes yellow taxis everywhere because he'd rather spend quality time with his family than lose hours driving. We went deep on authenticity versus fake flexing. You know those coaches posting selfies in front of Lamborghinis they don't own? Daniel's the complete opposite. When he started coaching he could only afford to catch the bus. All his money went into educating himself. Retooling like any good builder would. And he was honest about it with his clients. Drove his mom's car and didn't hide it. This episode is about authenticity. Real success versus fake success. Building something meaningful instead of just looking successful. Daniel's living proof that you can impact million-dollar businesses without owning a single luxury item. Because real leaders don't need props to prove their worth.We Meet:Connect:Connect with Rick: https://linktr.ee/mrrickjordanConnect with Daniel: https://danieltolson.com/ Subscribe & Review to ALL IN with Rick Jordan on YouTube: https://www.youtube.com/c/RickJordanALLINAbout Daniel: As a child, I had Linear sequential learning disability. I was a slow learner. I had a curved spine. My hips were out of alignment. I couldn't run. My knees would collapse when I was running. This physical defect created pressure in my head, I was losing my vision. I couldn't think properly. I was in so much pain physically. In the end, my body collapsed under this tremendous stress, I developed chronic fatigue syndrome and contracted Epstein Barr virus and I had to drop out of school. When I recovered my uncle took me under his wing and showed me the blueprint of how to become the top 10% in real estate. I took that blueprint, overcompensated with actions, became the top 1% performer, and bought my first home at the age of 19. But I dreamt of becoming an Australian champion wakeboarder. So, I gave up the real estate career to pursue my dream. I had a lot of challenges. To overcome the fear and achieve my goal, I spent a lot of time and energy on personal development, learning how to systematically and methodically break barriers to achieve goals. Eventually, I became the Australian Wakeboarder Champion, not once, but three times. That experience of creating my breakthrough and sustaining it set me up for a series of career highs, such as co-leading 17000 cabin crews, launching my own business, and building a global business that impacts more than 15,000 business people 100X their life and income. I'm sure your success has not come easily. What challenges have you had to overcome along the way? In 2010, at the peak of my career, my wife was involved in an aircraft accident. It left her with some disabilities requiring multiple surgeries over the next 2.5 years. Eventually, she lost her job and was forced to leave the country. I left the job to join her back home to take care of her. But 10 months and 500 job applications later, I was jobless. We were living with my grandmother, depending on Australian social security payments. It was the lowest point of my life. I was desperate. And I knew if I want to be a man who provides for my family, things must change. I pulled myself together, used every tool and technology I have in my toolbox, got clarity on life, and launched my coaching business from my grandmother's spare bedroom. I wish I could say life was happy ever after. But no, success never comes on the first attempt. Richard Branson launched 400 companies before founding Virgin galactic. Steven Spielberg was rejected by Film School 3 times. I was betrayed by a business partner. I had to move countries several times. I was broke three times in 3 different countries and had to start all over again. These experiences have become the foundation of my 100XDNA. It has 100X-ed my life.

I break down how I'm using ChatGPT and other AI tools to level up marketing and business strategy by focusing on quality inputs for quality outputs. From sharpening copywriting and campaign reporting to streamlining competitor research and hiring, I show how AI can boost productivity and creativity while making better strategic decisions. TIMESTAMPS (00:00) Unlocking the Power of ChatGPT in Marketing (02:43) Mastering Copywriting with AI (06:02) Streamlining Campaign Reporting and Feedback (08:47) Leveraging AI for Competitive Research and Hiring How to Connect: IG: / ericosiu X: / ericosiu

Summary In this episode of the AI for Sales podcast, Chad Burmeister and Townsend Wardlaw explore the profound impact of consciousness on business growth, the evolution of user interfaces in the age of AI, and the critical role of empathy in sales and personal transformation. Townsend emphasizes that IQ is becoming obsolete, while emotional intelligence and empathy are paramount for success. The conversation delves into the importance of understanding trust and integrity, and how true transformation comes from shifting one's consciousness rather than merely acquiring information. Townsend shares insights on how to cultivate empathy and the necessity of looking beyond surface-level problems to uncover deeper truths in coaching and sales. Takeaways Consciousness is the ultimate tool for growing your business. In the age of AI, emotional intelligence is more valuable than IQ. Empathy is essential for effective coaching and sales. Transformation comes from applying information, not just acquiring it. Trust is about the degree to which someone will do what they say. Empathy allows us to see the world from another's perspective. Salespeople must engage beyond the customer's initial problem. Consciousness shifts can lead to profound personal and professional growth. AI cannot replace the human experience of empathy and transformation. Understanding one's own consciousness is key to helping others. Chapters 00:00 The Role of Consciousness in Business Growth 02:39 The Evolution of User Interfaces and AI 05:39 Empathy vs. IQ in the Age of AI 08:35 The Importance of Transformation Over Information 11:16 Understanding Trust and Integrity 14:14 Demand Creation vs. Demand Response in Sales 17:07 Consciousness as a Tool for Transformation Proudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

Today on The Survival Podcast the expert council answers your questions on Trump’s betrayal of his base, cheese making, heat injuries, radios, bitcoin, solar power, AI and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more … Continue reading →

In today's episode, we sit down with Karia Samaroo, co-founder of WonderFi, and CEO of xTao, to break down why this cycle is unlike any before. From the explosive $6M Pump.fun launch to the quiet rise of Bitttensor as the “Bitcoin of AI".~~~~~

Today on The Survival Podcast the expert council answers your questions on the Epstein files, tax deductible guns, fitness, herbs, bitcoin, cooking, hail storms, mushrooms and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely … Continue reading →

summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Michael Katz, founder and CEO of FlowSend. They discuss the transformative impact of AI on customer experience, the importance of personalization, and share success stories from FlowSend's clients. Katz emphasizes the need for ethical considerations in AI development and the skills necessary for effective AI engagement. The conversation highlights the balance between automation and personalization, and how AI can serve as a thought partner in business. takeaways AI is revolutionizing customer experience by enhancing personalization. Many customers are frustrated with generic interactions. AI allows for better data collation and customer autonomy. The expectation for personalized service has increased significantly. FlowSend helps businesses repurpose content effectively. Success stories illustrate the power of AI in B2B contexts. Quality and accuracy are paramount in AI applications. Ethical considerations are crucial in AI development. Effective management is key to leveraging AI tools successfully. AI should be viewed as a thought partner, not just a tool. Chapters 00:00 Introduction to FlowSend and AI in Sales 01:44 Transforming Customer Experience with AI 05:56 Success Stories with FlowSend 11:18 AI Misconceptions and Human Oversight 13:52 Balancing Automation with Personalization 25:02 Ethics and Responsibilities of AI Founders 27:12 Essential Skills for AI UsersProudly brought to you by Nooks.ai and BDR.ai, we share proven strategies and cutting-edge technologies that enable sales teams to dramatically accelerate outcomes. Learn how to leverage AI, automation, and conversational intelligence to 5X, 10X, or even 100X your impact. The future of sales is here—let's build it together.

In this episode, Sandra Dajic, Head of Marketing at Chatbase, dives deep into the world of "vibe marketing"—a movement at the intersection of growth, automation, and AI tooling. She shares how she's building AI-powered workflows to supercharge her marketing efforts, from automated ad competitor dashboards to visual content generation using GPT-4. With a background in both VC-backed and bootstrapped startups, Sandra outlines practical strategies for creating a marketing engine that feels like a team of 100—run by just one person.Timestamps: 00:00 - Introduction: The 100x marketer and automation trend 01:40 - Sandra's AI-powered marketing workflows 04:45 - Automating ad analysis with Lovable, Make.com, and GPT 09:12 - Why “vibe marketing” matters now 13:20 - How to scale marketing without engineering resources 16:45 - Building "AI Ninja": Sandra's personalized marketing agent 21:05 - Using AI to streamline press, partnerships, and outreach 27:50 - How Sandra accelerated visual design workflows using GPT-4 31:00 - The power of personal brand and founder-driven marketing 34:15 - Sandra's experiments with LinkedIn growth strategies 39:22 - Automating content and measuring marketing effectivenessKey Points:Vibe marketing = combining growth strategy with AI automationSandra built a custom dashboard to track and analyze ad creatives across platformsTools used: Lovable for browser agents, Make.com for workflows, GPT-4 for automationAI agents streamline repetitive marketing tasks: outreach, content, visuals, competitor trackingEmphasis on storytelling, personal brand, and focusing on one validated channel at a timeSandra shares tactical tips for LinkedIn growth and content structuringAI enables solo marketers to match output of large teams, affordably and fastNotable Quotes:“I want to automate everything that I don't love doing. My job is to tell the story of the product.” – Sandra Dajic “If you define your workflow, AI can scope the rest. That's the vibe marketing unlock.” – Host “Personal brand is your biggest asset as a founder—it's the one thing that sticks.” – Sandra DajicGuest Links: • X: @takotreba • LinkedIn: Sandra Dajic

Summary   In this episode, Wayne Marcel and Wesley Luth discuss the evolution of cryptocurrency, the importance of education in the space, and the role of stablecoins and CBDCs. They emphasize the need for individuals to understand financial systems and the implications of data ownership in the Web3 era. The conversation also highlights the mission of LearnVault to provide safe and informative resources for newcomers to the crypto world. Learn more about LearnVault: https://learnvault.io/  Join the FREE Skool: https://www.skool.com/learnvault/about?ref=9aa7fcc7b48f47c683d66344a90fae5d  Takeaways   Wesley Luth shares his journey into cryptocurrency from a project management background. The importance of understanding financial systems and the value of money is emphasized. Stablecoins are becoming increasingly relevant for everyday transactions. Central Bank Digital Currencies (CBDCs) pose potential risks to individual freedoms. Web3 offers individuals more control over their data compared to traditional systems. Education in cryptocurrency has evolved with the rise of social media and shorter attention spans. LearnVault aims to provide a safe space for learning about cryptocurrency. The importance of doing your own research in the crypto space is highlighted. AI can assist in researching crypto projects but requires careful consideration. The future of cryptocurrency is promising, and now is the time to learn. Chapters   00:00 Introduction to Crypto and Backgrounds 03:06 Understanding Money and Its Evolution 05:39 The Role of Stablecoins in Modern Finance 08:39 The Impact of CBDCs on Financial Freedom 11:42 The Importance of Data Ownership in Web3 14:56 The Evolution of Crypto Education 17:50 Challenges in Modern Crypto Education 21:58 The Shift from Long Movies to Mini-Series 23:50 Understanding LearnVault's Mission 25:06 Navigating the Crypto Landscape Safely 27:38 The Importance of Education in Crypto Investments 30:55 LearnVault's Educational Offerings 33:49 The Intersection of AI and Crypto 38:49 Building a Knowledgeable Community 41:41 Final Thoughts on Learning and Investing

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.What happens when a professional trader goes from 100% in cash to fully invested in one single session? This is the kind of day where everything lines up — the market, the sectors, the signals — and you're invited to watch the entire strategy unfold in real time.In this session, you'll see a complete top-to-bottom execution of seven high-conviction trades using a data-driven approach powered by OVTLYR Nine, a behavioral analytics platform built for serious traders who want to save time, make money, and win with less risk.This isn't theory — this is live decision-making in action.You'll learn how to:➡️ Use AI-powered stock signals to find the strongest setups➡️ Evaluate market breadth and sector momentum to confirm trends➡️ Read fear & greed data to measure sentiment shifts➡️ Apply risk-based position sizing to protect your account➡️ Avoid emotional trading with clear, rules-based entries and exitsEvery trade shared in this video comes with full reasoning, real execution, and an exact checklist. You'll see how to scan hundreds of stocks in minutes, narrow them down using the screener, and apply the Golden Ticket Trading Strategy — built to identify outlier opportunities with precision.Here's what else is packed in:✅ How to recognize a true bullish trend using the 10/20/50 EMA alignment✅ How to avoid getting faked out by order blocks and earnings gaps✅ Why the OVTLYR Nine heat map gives traders a psychological edge✅ When to enter, when to exit, and how to roll trades defensivelyAlso included: insights from a vibrant trading community that's crushing real results — traders landing consistent wins, some up over 30–40% YTD, simply by following the exact same strategy.This isn't just educational — it's empowering. Whether you're a seasoned trader or brand new, you'll walk away knowing how a pro reads the market, makes confident decisions, and manages risk without hesitation.Tired of guessing, stressing, and reacting too late? Then this is your wake-up call.This video is fast-paced, full of powerful tools, and totally transparent. No fluff. No nonsense. Just straight-up strategy, executed with clarity and discipline!Gain instant access to the AI-powered tools and behavioral insights top traders use to spot big moves before the crowd. Start trading smarter today

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S--In this video, I reveal how to enhance CRM systems using the deep research capabilities embedded in AI models like OpenAI. I share a step-by-step guide on creating effective prompts, connecting CRM systems such as HubSpot, and transforming insights into actionable strategies for revenue growth. I emphasize the importance of leveraging AI for data analysis and highlight the potential it holds to significantly improve business outcomes.Chapters00:00 Unlocking CRM Potential with Deep Research02:50 Step-by-Step Guide to Implementing Deep Research06:12 Transforming Insights into Actionable Strategies

If you've ever felt paralyzed by self-doubt or trapped by your own fear of failure, you are not alone. In this powerful episode, I share the exact metaphysical business framework I've used to break free from my own inner critic and create 100X growth, both personally and professionally. I know firsthand how chasing external validation, achievements, and accolades can leave high-achieving entrepreneurs, especially women, feeling deeply unfulfilled. The aggressive, masculine business model disconnects us from the truth of who we are. In this episode, I reveal how to tap into the wisdom of your higher self to reprogram your mind and release fear at its root. We begin by exploring neural rewiring techniques that interrupt self-defeating thought patterns. Through daily affirmations and emotional awareness, you'll learn how to shift from victim thinking into empowered creation. You'll discover how the law of acceptance, what I call the first law of spirit, holds the key to dissolving resistance and opening your life to divine alignment. We'll discuss: • How to identify the voice of the inner critic and where it lives in your body • Daily affirmation practices that rewire your subconscious beliefs • Conversations with God as a strategy for activating unconditional trust • Understanding that everything happening in your life is part of your divine growth journey Whether you're navigating difficult business decisions, relationship challenges, or, this episode equips you with practical metaphysical tools that honor your soul's evolution while building sustainable, soul-aligned business success. Connect with Erin Patten: Website: www.themetabusiness.world Email: info@erinpatten.com Instagram: @iamerinpatten LinkedIn: linkedin.com/in/iamerinpatten Youtube: @iamerinpatten

Today on The Survival Podcast the expert council answers your questions on foreign wars, business vehicles, riots and civil unrest, septic systems, whiskey history, bitcoin and more. Make sure if you submit content for an expert council show you do the following…. Email it to me at jack @ thesurvivalpodcast.com Put TSPC Expert in the subject line Ask you question and state the expert you have the question for in one coherent sentence Hit the return key a few times and then give all the details you think are necessary ` Following that procedure makes it about 100X more likely … Continue reading →

Is AI underdelivering? Or are we asking the wrong questions? This episode breaks down what actually leads to business ROI with AI (and no, it’s not more automation). Overview What if AI isn’t the silver bullet—yet—but the bottleneck is human, not technical? In this episode, Brian Milner chats with Evan Leybourn and Christopher Morales of the Business Agility Institute about their latest research on how organizations are really using AI, what’s working (and what’s wildly overhyped), and why your success might hinge more on your culture than your code. References and resources mentioned in the show: Evan Leybourn Christopher Morales Business Agility Institute From Constraints to Capabilities Report Delphi Method #93: The Rise of Human Skills and Agile Acumen with Evan Leybourn #82: The Intersection of AI and Agile with Emilia Breton #117: How AI and Automation Are Redefining Success for Developers with Lance Dacy AI Practice Prompts For Scrum Masters Join the Agile Mentors Community Subscribe to the Agile Mentors Podcast Want to get involved? This show is designed for you, and we’d love your input. Enjoyed what you heard today? Please leave a rating and a review. It really helps, and we read every single one. Got an Agile subject you’d like us to discuss or a question that needs an answer? Share your thoughts with us at podcast@mountaingoatsoftware.com This episode’s presenters are: Brian Milner is SVP of coaching and training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work. Evan Leybourn is the co-founder of the Business Agility Institute and author of Directing the Agile Organization and #noprojects; a culture of continuous value. Evan champions the advancement of agile, innovative, and dynamic companies poised to succeed in fluctuating markets through rigorous research and advocacy. Christopher Morales is a seasoned digital strategist and agile leader with over 20 years of experience guiding organizations like ESPN, IBM, and the Business Agility Institute. As founder of Electrick Media, he helps U.S. and European businesses harness AI to make smarter, more sustainable decisions in a rapidly changing world. Auto-generated Transcript: Brian Milner (00:00) Welcome in Agile Mentors. We are back for another episode of the Agile Mentors podcast. We've kind been a little bit off and on recently, but I'm back, I'm here, I'm ready to go, and we've got a really good episode for you today. I've got two, two guests with me. I know that's not a normal thing that we do here, but we got two guests. First, we have Mr. Evan Layborn with us, who's back. Welcome back, Evan. Evan Leybourn (00:23) Good morning from Melbourne, Australia. Brian Milner (00:26) And Christopher Morales is joining us for the first time. Christopher worked with Evan on a project and we're going to talk about that in just a second, but Christopher, welcome in. Christopher Morales (00:35) Yeah, good evening. Nice to be here. It's very late here in Germany. So this is an international attendance. Brian Milner (00:42) Yeah, we were talking about this just as we started. I think we have pretty much all times of day represented here on this call because we've got morning here from Evan. We've got late evening here for Christopher and I'm kind of late afternoon. So we're covered. All our bases are covered here. But we wanted to have these two on. They both work for a company called the Business Agility Institute. And if you have been with us for a while, you probably remember Evan's episode that we had on last year when we kind of talked about one of the studies that they had done. Well, they put out a new one that I kind of saw Evan posting about. And I thought, wow, that sounds really, really interesting. I really want to have them on to talk about this. It's called From Constraints to Capabilities, AI as a Force Multiplier. The great thing about the Business Agility Institute is they get into the data. They do the research, they put in the hard work, and it's not just speculation. It's not just, that's one guy's bloated opinion, and do they know what they're talking about or not? So that's what I really, really appreciate about the things that come out of the Business Agility Institute is they're factual, they're data-based. So that's what I wanna start with, I guess, is... What was the genesis of this? What did you guys, how did you land on this as a topic and how did you narrow it down to this as a topic? Where did this start? Evan Leybourn (02:07) Well, quite simply, it started from almost a hypothesis around so much of the conversation around AI. And let's face it, there is a lot of conversation around artificial intelligence and specifically generative, predictive and agentic AI. Focuses on the technology. And yet when we talk to organizations, a lot of them don't seem to be seeing a positive return on investment, a positive ROI. And we needed to understand why, why these benefits of like three times products or operational efficiency product throughput, three times value creation, Why weren't companies seeing this? That's really what we were trying to understand. Why? Brian Milner (03:01) Yeah, that's a great basis for this because I think you're right. There's sort of this, I would imagine there's lots of people out there who are kind of going through their business lives and hearing all these incredible claims that people are making in the media about how this is gonna replace everyone. And now it's, yeah, we can, I mean, you said 3X, I've heard like, 10 or anywhere from 10 to 100X, the capabilities of teams and that they can now do all these amazing things. And if I'm just going through my business career, I'm looking at that from the outside going, is this fact or is this fantasy? this just a bluster or is this really, really happening? So I really appreciate this as a topic. A little bit of insider baseball here for everybody. You guys talk about in this report that you use a specific method here, the Delphi method. for data geeks here, or if you're just kind of curious, would you mind describing a little bit about what that means? Evan Leybourn (04:00) Chris, do you want to take that one? Christopher Morales (04:01) Yeah, well, so the idea behind using the Delphi method was actually inspired by my sister. She had done a periodic review that utilized this method. And essentially what it is is we utilize rounds of inquiry with an expert panel to refine the research, the feedback that we're getting. And so we collected an initial set of data. reviewed that data, tried to analyze it to come up with a consensus, and then repositioned our findings back to the experts to find out where they stood based on what they gave us. And really trying to get all of the experts to come to an agreement in specific areas. In the areas that we found gray space, for instance, or let's say, data was spread out, right? Those were really the areas where we're really trying to force these experts to get off of the fence and really make an assessment. And it was proved extremely helpful, I think, in this research because what I find in the AI space is that there is plenty of gray. And we really wanted to get to some stronger degree of black and white. I'm not going to say these findings are black and white, but I will say that in order to guide people, you need to give them degrees of confidence. And I feel like that's what we wanted to do with this. Brian Milner (05:31) Well, that's the great thing about research though, Is it can give you information, but there's always the story. And it's really kind of finding that story that really is the crux of it. So we open this saying, fact or fiction. So just hit us up with a couple of the, maybe some of the surprising findings or some of the key things. For the people you talk to. Christopher Morales (05:38) Mm-hmm. Brian Milner (05:53) Were they seeing these amazing kind of, you know, 100 X of their capabilities or what was the reality of what people reported to you? Evan Leybourn (06:01) In a few cases, yes. Maybe not 100x, but 8x, 10x was definitely being shown. But the big aha, and I won't say it was a surprise, was really in a lot of organizations, the teams that were using AI were seeing Brian Milner (06:03) Okay. Evan Leybourn (06:23) absolutely massive improvements. People talk about going from months to minutes in terms of trying to create things. And so there's your 100X. But when we look at it at a business level and the business ROI, when we look at the idea to customer from concept to cash, when we look at the overall business flow, very few of those organizations saw those benefits escape from the little AI inner circle. And so that 10x or the 100x improvement fizzles into nothingness in some cases. negligible improvement in the whole organization. Some organizations absolutely saw those benefits throughout the entire system. And those were organizations who had created a flow, who created organizational systems that could work at the speed of AI, especially some of the younger AI native organizations, if you want to think of them that way. But no, most organizations those 10x, 100x kind of goals were unachievable for the business. And so when I was saying 3x, by the way, what we sort of tended to find is those organizations, mature organizations with mature AI programs and systems. we're generally seeing between a 1.2 to 1.4x improvement to about a 2.8 to about a 3.2x improvement. So that's like a 20 % to a 300 % improvement if you want to think of it this way. Brian Milner (08:15) Wow. Well, that's nothing to sneeze at. That's still really, really impressive. Christopher Morales (08:19) yeah, it'll make a significant difference. I think for me the interesting thing about the findings is that there's two areas that I think will pose a really interesting question for people who read the report, and that is this idea of being very intentional about identifying your goal, right? I don't know how many organizations are really meaningfully identifying what their expected outcome is. And I think the other thing, which we didn't really talk about much in the report, but I think plays a role in the conversation that's kind of bubbling to the surface here today, has to do with the human element inside of the organization. And while all of the organizations that we spoke to said that the human was a very important element and prioritized, There was a challenge in identifying specific initiatives that were being put in place to account for the disruption that the technology might have on the staff or the employees. And that wasn't surprising. That was kind of expected. But I think it's interesting that, you know, eight months after we released this report, I would argue that that's still the case. Brian Milner (09:36) Mm-hmm. Yeah. Yeah, that's fascinating because you're right. It's, it's, that's not the story you always hear, because you, you are hearing kind of more of taking the human out of the loop and making it more of just this straight automation kind of project. I want to ask really a question here though, Evan, said you made the distinction about it being more mature, groups, more mature organizations. I'm just curious, is that translate to, is there anything that translates there into the size of the organization as well? Did you find that more larger organizations had a different outcome than smaller, more nimble startup kind of organizations? Evan Leybourn (10:14) So age more than size. Younger organizations tended to be more, well, mean, they tended to be more agile. There's more business agility and through that greater benefits out of AI. These things are very tightly tied together. If you can't do... Brian Milner (10:18) Hmm, okay. Evan Leybourn (10:38) Agile or if you don't have agility as an organization, you're not going to do AI particularly well. And a piece of that goes to what you were just talking about in terms and you use the word automation, which is a beautiful, beautiful trigger word for me here because the reality is that the organizations that utilized AI, specifically generative or agentic AI, to automate their workforce rarely saw a high, like a strong return on investment. It basically comes down to generative predictive AI, generative and agentic AI tends not to be a good automation tool. It's non-deterministic. You pull a lever, you get one result. You pull the same lever tomorrow, you will get a different result. There are better tools for automation, cheaper tools for automation. And so we're not saying automation is bad. We're just saying that it's not the technology for it. The organizations that used it to augment their workforce were the ones that were seeing significant benefits. And now there are caveats and consequences to this because it does change the role of the human, the human in the loop, the human in the organization. But fundamentally, organizations that were automating or using AI for automation were applying an industrial era mindset and mentality to an information era opportunity. And they weren't seeing the benefits, not at a business level, not long term. And in some cases, did more harm than good. Brian Milner (12:28) That's really deep insight. That's really amazing to hear that. I'm interested as well. You found some places that were seeing bigger gains than others that were seeing bigger payoffs. Did you find patterns in what some of the hurdles were or some of the kind of obstacles that were preventing some of these that weren't seeing the payoffs from really taking full advantage of this technology? Christopher Morales (12:52) Yeah, absolutely. mean, we identified some significant constraints that, interestingly enough, when we talk about this, we obviously do workshops. So we were just at the XP conference doing a workshop. And when we talk about this, we identify the fact that our position is that the challenges to AI are a human problem, not a technology problem. And the findings reflect that because of the constraints that we found. only one of the major constraints was associated with technology and that was data primarily. The constraints that we identified had to do with normal operations within a business. So long budgeting cycles or the ability to make a decision at a fast rate of speed, for instance. These are all human centric challenges that independent of AI, If you're trying to run an efficient organization, you're trying to run an agile organization, right? Able to take advantage of opportunities. These are all things that are going to come into play. and, you know, as we like to say, like AI is only going to amplify that, right? So if AI can show you 20 more times, like the opportunities available to you is your organization going to be able to pivot? Do you have a funding model that can provide the necessary support for a given initiative? Or is the way things that run within the organization essentially giving you AI that provides you information that you can't move? Brian Milner (14:31) That's a great, yeah, yeah. Evan Leybourn (14:31) And think of it this way, if you're expecting AI to give you a three times improvement to product delivery, can your leaders make decisions three times faster? Can you get market feedback three times faster? And for most organizations, the answer is no. Brian Milner (14:51) Yeah. Yeah, that's a great phrase in there that Chris was talking about, like the AI will just amplify things. I think that's a great observation. And I think you're right. this is kind of, you know, there's been a thing I've talked about some recently in class. there's a... I'll give you my theory. You tell me if your data supports this theory or not. I'm just curious. You know, we've been teaching for a long time in Scrum classes that, you know, there's been studies, there's been research that shows that when you look at the totality of the features that are being completed in software development, there's really a large percentage of them that are rarely or never used, right? They're not finding favor with the audience. The audience is not using those capabilities. And so my theory, and this is what I want you guys, I'm curious what your thought is. If AI is amplifying the capability of development to produce faster, then my theory is that's going to only expand the number of things that we produce that aren't used because the focus has been sort of historically on that it's a It's a developer productivity issue that if we could just expand developer productivity, the business would be more successful when those other former studies are saying, wait a minute, that may not be it. We need to focus more on what customers really want. And if we knew what they really wanted, well, then, yeah, then productivity comes into play. But That's the human element again, right? We have to understand the customer. have to know. So I'm just curious again, maybe I'm out on a limb here or maybe that doesn't line up, how does that line up with what you found? Evan Leybourn (16:41) So the report's called From Constraints to Capabilities. And Chris, we spoke about the constraints. So maybe let's talk about the capabilities for a second. for the listeners who are unfamiliar with the Business Agility Institute, the model that we use for the majority of our research is the domains of business agility, which is a behavioral and capability Brian Milner (16:45) Ha ha. Yes. Evan Leybourn (17:04) Now, in that model, there are 84 behaviors that we model against organizations. But in this context, more importantly, were the 18 business capabilities. And so what we found was that the organizations that were actually seeing an improvement weren't the ones with the capabilities around throughput. So one of the capabilities deliver value sooner. That wasn't strongly tied. So the ability to deliver value sooner wasn't strongly tied to seeing a benefit from AI. But the ability to prioritize or prioritize, prioritize, prioritize, something so important we said it three times, was one of the most strongly needed capabilities. It correlates where organizations that were better at prioritization, at being able to decide which feature or area, what thing to do was the next most important thing. If you're got AI building seven or eight prototypes in the same time you used to be able to create one, great, you now have seven or eight options. Not that seven or eight are going to go to market. but you're going to decide, you've got more optionality. So it's not that you're be delivering more faster, though in some cases that is obviously the case, but you've got more to choose from so that if you make the right decision, you will see those business benefits. But the capability that had the strongest, absolute strongest relationship to seeing a benefit from artificial intelligence was the ability to cultivate a learning organization. That's not education, that's around learning, experimentation, trying things, testing things, being willing as an organization to say, well, that didn't work, let's try something else. And those learning organizations were the ones that were almost universally more successful at seeing a business benefit from their AI initiatives than anybody else. So yeah, just because you can develop features faster, it means nothing if it's not the right features that the customers want. And that comes from learning and prioritization and there are other capabilities unleashing. workflow creatively and funding work dynamically, for example, that came out strongly. But I just really wanted to highlight those two because that's the connection that you're looking for. Christopher Morales (19:43) Yeah. And if you think about your question ties directly into something that we heard at the conference we were just at, likening to technical debt. So we're actually starting to see the increase in technical debt because of the influence that AI and software development is having in the creation of code and so on and so forth. And so... I think that what you're saying is spot on in terms of your theory. And I think that this speaks to what I believe we should really kind of amplify, right? AI is going to amplify certain things that aren't positive. I think leadership, think businesses need to start amplifying a conversation around... Are we approaching this the right way? What are the ultimate outcomes that we may see? And can we take that on? So if our developers are increasing the amount of technical debt that we have because we've integrated AI or adopted AI, what are we doing about that? What is the new workflow? What does the human in the loop do on account of this new factor? that we need to take into place because ultimately things like that make their way to the bottom line. And we know that's what CEOs care about. Brian Milner (21:02) Yeah, wow, this is awesome. I just want to clarify with sort of the learning organization ability, just want to make sure I'm clear. What we're saying here is that it's organizations that already have that kind of cultural mindset, right? That the background of a learning organization that see a bigger gain from this, or are we saying that AI can makes the biggest influence of impacting how learning an organization is. Evan Leybourn (21:34) The first, ⁓ the arrow of causation is that learning organizations amplify or improve or are more likely to see a benefit from AI. It's not a bad, and I should say we're not looking at how effectively you can Brian Milner (21:35) Okay. Evan Leybourn (21:57) deploy an AI initiative. It's about a we looked at AI as a black box. Let's assume or as in the cut through the Delphi method, the companies that we were speaking to had been doing these for years. These were mature established organizations. And the so it wasn't looking at how effectively you could deploy AI. But rather You've got AI, it's integrated. Are you seeing a business benefit from it? And those organizations that were learning organizations were more likely to be seeing a benefit, much, much more likely to be seeing a benefit. Brian Milner (22:40) Yeah. There's one phrase that kind of jumped out at me that I thought maybe one or both of you could kind of address here a little bit. I love the phrase, kind of the metaphor that you used in there about shifting from a creator to composer. And I'm just wondering if you can kind of flesh that out a little bit for us. Help us understand what that looks like to move from a creator to composer. Christopher Morales (23:01) Yeah, I'll start, but I think Evan will touch on it as well, because I do think it's a fascinating position, is how I'll phrase that. So when we think about creator to composer, we're talking about a fundamental shift on how a human is utilized within an organization. So if we eliminate AI from the equation, The human, your employees are acting as creators at some level, at some degree. Okay, so I have a media background, so I'm doing a lot of marketing. And I think that this is appropriate to use as an analogy, because I think a lot of marketers are utilizing AI right now. So independent of AI, that marketer is required to take into consideration all of these different factors about the business, create copy, let's say. create a campaign, do all of this real like hands on thoughts and levels. Now you bring AI into the equation and there are certain elements of these tasks that are being supported, offloaded in some cases. I'm not gonna get into my opinions about what is right and what is wrong here, but what I will say is there is a change in that workflow. And so what is... fundamentally at play here is that that marketer is now working in conjunction with something else. And so it is critically important that that marketer develops the skills to compose with the AI in a sense of, now know how to direct, I know how to steer a conversation, steer a direction. in order to get to a meaningful and hopefully valuable output utilizing the assist of the AI. And Evan, I'll toss over to you because this is the area, just so you know, Brian, this area of the report is the one that this podcast could turn into an hour and a half long podcast. Evan Leybourn (25:08) So I'll try not to make it an hour and a half, but just to build on what Chris said. Brian Milner (25:11) Ha Evan Leybourn (25:12) So this created to compose a shift, it changes the role of the human in the loop. It changes the responsibilities. And there's a quote in the report, AI is an unlimited number of junior staff or junior developers if you're a technologist. And that comes with some deep nuance because we all know that junior staff there is a level of oversight and validation required. So if you're creating through your AI colleague, let's call them that, if you're collaborating with AI, the AI is creating, then every human shifts into that composer mode and moves up the value chain. So your junior most employees, right? start to take on what would be traditionally management responsibilities. Now, this isn't in the report, but this is sort what we found after, right? Was that there were three sort of skill areas that needed to be taught to individuals in order to be effective and successful with AI or to collaborate in an AI augmented workforce. The first one was product literacy. So the ability to define and communicate use cases and user stories, design thinking techniques and concepts, the ability to communicate what good looks like in a way that somebody else understands, this somebody else, of course, being the AI counterpart. And product literacy, again, your senior employees have that, but that's got to Everyone now needs that. The second is the skill of judgment or critical thinking. The ability to, for anyone here who has a background in lean, pulling the and on court. The ability to and the confidence to, which are two separate skills, actually say, no, what AI is doing here is wrong. We're going to do something different. I'm going to say something different. I'm going to suggest. I'm going to override AI. I'm going to pull the hand on cord and stop the production line, even though it's going to cost the organization money. But because if I don't, it's going to be much, much worse. And so that ability to use your judgment and the confidence to use judgment, because let's face it, AI can be very compelling in its sounds accurate. So you've to be able to go, hang on, there's something not right here, and use that judgment. And then the third is around feedback loops, or specifically quality control feedback. Because as a creator, the first round of feedback, the first round of quality control is implicit. It exists inside the heads and the hands of the creator. Like you're writing a document or creating a... a marketing campaign, you go, oh, I'm not happy with this, I'll change that, or maybe not that word. You're a software developer and say, oh, I don't like that line, that's not doing what I wanted, I'm gonna change it. So the first round of feedback, the first round of quality is implicit. But once you become a composer, the first round of feedback is explicit, right? Because you're taking what has already been produced. And so the, what we, What we found post report is that a lot of people do not have the skill or haven't, sorry, have not learnt the skill, how to do that first implicit round of feedback explicitly. And so it gets skipped. so AI outputs get passed through into... later stages of quality control and so forth. And obviously they fail more often. So it's a real issue. So it's those three skilled areas that we would say organizations fundamentally need to invest in, in order to enable their workforce to be augmented, to work with AI effectively. And the organizations that have those skills, the organization with who have individuals with those skills at all levels from the junior most employee are more successful. Now, I'm going to add one thing to this. I'm going to slightly go off topic because it is the one of the most common questions that we get when we teach this topic or we talk about it at conferences. And that is Brian Milner (29:44) Yeah Yeah, please do. Evan Leybourn (29:56) If AI replaces your junior employees and your junior employees go up a level, what's the pathway for the next generation to become the senior employee? And this is where I have to give you the bad news that no one has an answer for that yet. These very mature, very advanced organizations Right? Many of them were trying to figure it out. None of them had an answer. and that's the, and I'll be honest, I personally, and this is just Evan's opinion, believe that this will become or must be a society level problem, or solution to that problem. it will require businesses alongside governments, alongside, education institutions to make some fairly substantive shifts and I don't think anyone knows what they are today. Christopher Morales (30:53) Yeah, and I would only say to that, and again, there's so much I would love to inject here, but I will say that this is an opportunity, and I always stress that, because that is a little sobering when you think about that idea. But I really, really strongly encourage organizations that are evaluating this to, I understand the considerations about efficiency and bottom line benefit. Brian Milner (30:53) Yeah. You Christopher Morales (31:20) towards AI, and I appreciate that wholeheartedly. But I think this is a real opportunity for organizations to take a step back and really think about the growth path for the talent that you have in your organization. Because augmenting your workforce with AI, are studies, Harvard Business Review put out a study that indicated that an augmented employee was more productive and enhanced as if it had been working with a senior staff member and collaborated at a level that was equivalent to working within a team. So there are studies that show real benefit to the employee having an augmented relationship with AI. If an organization can take two steps back, think about that pattern, think about that elevation strategy for your talent. you're going to be doing so much more to keep yourself sustainable in what is arguably the most like, you know, I don't know, I don't even know the word I'm looking for. It's, the most chaotic time I can think of for businesses when it comes to technology adoption. Brian Milner (32:23) You Yeah, I agree. But there's also sort of, I don't know if you guys feel this way as well, but to me, there's sort of like this crackling kind of sense of excitement there as well, sort of like living on the frontier that like there's this unexplored country out here that we don't really know where all these things are going to shift out. But gosh, it's fun thinking that we get to be the ones who kind of do that experimentation and find out and see what's the next step in this evolution? What's the next growth? The patterns that we've used previously may not apply anymore or apply in the same way because so much of the foundation underneath that system has changed. So we got to experiment and find new things. I love the call there, the learning organization, that that being the primary thing that If we have that cultural value, then that's really gonna drive this because we can then say, hey, this isn't working anymore, let's try something else. And that's how we end up at a place where we have new practices and new workflows and things that will support this and augment it rather than hampering it being a constraint, like you said, yeah. Christopher Morales (33:48) Well said. Well said. Brian Milner (33:50) Awesome. Well, this is a fascinating discussion. I really could go on for the next couple of hours with you guys on this. is just my kind of hobby or interest area at the moment as well. So I really appreciate you guys doing the work on this and appreciate you sharing it with us and sharing some of the insights. Hey, and the listeners here, hey, they got a bonus from the report, right? You listed extra things that didn't quite make it in the report. Just make sure you understand that listeners, right? You got extra information here listening to us today. ⁓ So just any last words from you guys? Christopher Morales (34:19) Thank Yeah. Evan Leybourn (34:24) Just for the folk listening, treat AI not as a technical problem, but as a human and a business opportunity, requiring human and business level changes. Don't just focus on how good the technology is, because that's not where the constraints nor where the opportunities truly lie. I would also just like to call out that if anyone listening wants to learn more about any of these topics, the capabilities, the domains of business agility, visit the Business Agility Institute website, check out the domains, download the report. But we've also launched an education portfolio and we'll be running a different education course on each of the capabilities over the next, I think it's every two weeks almost until the end of the year. So please come and join us and let's go deep into these topics together. Christopher Morales (35:21) Yeah, and I would just say, Brian, to all the listeners out there, don't fall into what I think is a common fallacy, which is where we're going is predetermined. It's already set in stone. I think as Agilists, we know the power of flexibility, the ability to pivot, and the ability to utilize data and information to inform what our next move is going to be. And I think this is a classic case of you control the narrative. You control what AI looks like in your organization, in your team, in your workflow, and you have the ability to carve out how it impacts your world. And so I encourage people to look at it that way. Empower your humanity, empower your decision making. The AI is here, it's not going anywhere. So embrace it in the best way possible. Brian Milner (36:22) Yeah, it seems oddly ironic or maybe appropriate to quote from the Terminator movie here, but it sounds like what you're saying is no fate, but what you make. Christopher Morales (36:32) Prophetic, Brian, that's prophetic. Evan Leybourn (36:37) I love it. Brian Milner (36:37) Awesome. Well, thank you guys so much. I really appreciate you guys being on and obviously we're gonna have you back. you know, when you guys come out with new stuff like this, it's just amazing to dive deep into it. So thanks for making the time at all kinds of times of the day and coming on and sharing this with us. Christopher Morales (36:55) You're welcome. Evan Leybourn (36:56) Thank you.

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