『iwon™ podcast with Michael J Thomas』のカバーアート

iwon™ podcast with Michael J Thomas

iwon™ podcast with Michael J Thomas

著者： Michael J Thomas
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IWON™ (It Wasn’t Over Night) is a long-form podcast for ambitious founders. Wherever you are at in your business journey, you'll get something from every episode and each guest. These are the people who been there and done it. If you want to understand what it actually takes to build and scale a successful company, iwon™ is worth listening to. Each episode features honest, in-depth conversations with founders, operators and growth leaders who have built, scaled, exited or survived in the tech world. Iwon™ is hosted by Michael J. Thomas. He is an experienced marketing strategist, Cambridge-accredited coach and founded DARWIN™ Works Marketing in 2011. This isn’t surface-level advice or recycled LinkedIn BS. It's the real stories. We go deep and unscripted with every episode and every guest. It’s the real story behind: • Early mistakes and failures • Fundraising realities and financial pressure • Product and growth decisions that changed everything • Sales lessons that cost years to learn • Mental health, leadership and resilience • What genuinely moves the needle From first customers to $750m exits, IWON reveals the thinking, trade-offs and hard-earned lessons you rarely hear in public. If you are building a SaaS or tech company, leading a product or growth team, or trying to grow without chaos, this podcast will give you perspective, clarity and practical insight from people who have done it for real. New episodes every two weeks. The names iwon and DARWIN are registered trademarks. This podcast and the opinion-based content herein are wholly owned by, property of, and produced by - and is a DARWIN Works Production - a trading name of BlueEyed Digital Marketing Ltd. Copyright 2026.Copyright 2026 - iwon and DARWIN are registered trademarks. This podcast and those trademarks are wholly owned by, property of, and produced by - and is a DARWIN Works Production - a trading name of BlueEyed Digital Marketing Ltd. マネジメント・リーダーシップ リーダーシップ 経済学
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  • AI, Jobs and Power: Musk, Altman and Yang on What Comes Next - iwon podcast - Summer Series with Michael J Thomas

    AI, Jobs and Power: Musk, Altman and Yang on What Comes Next - iwon podcast - Summer Series with Michael J Thomas
    2026/08/06
    Artificial Intelligence (AI) has fundamentally transformed the landscape of business, provoking critical inquiries regarding its governance and implications.The BIG question is, "Who holds the keys?"As I delve into the recent advancements made by corporate giants such as Microsoft, ServiceNow, SAP, and Capgemini, it becomes evident that substantial financial investments are being made to harness AI's potential for tangible business outcomes.Simultaneously, influential figures like Elon Musk, Sam Altman, and Andrew Yang have different perspectives on the future trajectory of AI, prompting us to reflect on the broader societal implications of these technologies.This discourse aims to engage listeners in contemplating the profound questions surrounding AI's role in our lives, rather than prescribing definitive conclusions.This week’s episode brings to the forefront the intricate relationship between technological advancement and societal impact, particularly in the realm of AI. As businesses rush to integrate AI into their operations, the conversation extends beyond technological capabilities to encompass ethical and economic ramifications.The insights from thought leaders like Musk, Altman, and Yang provoke a deeper investigation into the balance of power in an increasingly automated world. Musk's vision of a future where work becomes optional contrasts sharply with the practical realities faced by employees today, raising essential questions about income distribution and the role of government in this transition.Recent high profile security breaches involving AI systems, the need for vigilant oversight in the deployment of AI technologies cannot be overstated.Let's explore it all together.Takeaways:Artificial Intelligence has the potential to transform product development and customer service significantly, yet it prompts critical inquiries regarding control and oversight.The financial investments by corporations such as Microsoft, ServiceNow, and SAP reveal a robust commitment to integrating AI into existing operational frameworks, marking a shift towards practical applications.Elon Musk, Sam Altman, and Andrew Yang present different perspectives on the implications of AI, urging us to consider both opportunities and ethical challenges as we advance.The recent incident involving an autonomous AI agent underscores the necessity for stringent controls and ethical guidelines in the deployment of advanced technologies.As businesses increasingly leverage AI, the focus must not solely be on technological capabilities but also on the broader socioeconomic effects that may arise, particularly regarding employment.The ongoing discourse surrounding AI necessitates a collective examination of power dynamics, ownership, and the responsibilities of technology creators to society at large.Companies mentioned in this episode:MicrosoftUnileverNovo NordiskServiceNowSAPCapgeminiOpenAIHugging FaceModal LabsDremioPrior LabsElon MuskSam AltmanAndrew YangMartin FordReports, interviews and sources mentioned:Elon Musk interviewed by The EconomistSam Altman on AI and the “jobs apocalypse”Andrew Yang and Martin Ford, “The Robots Are Coming for Your Job”.Microsoft launches Microsoft Frontier CompanyServiceNow Q2 2026 results and highlightsSAP trims its 2026 profit outlookCapgemini raises its growth target as businesses prepare for AIOpenAI agent security incidentHugging Face security incident disclosureCloudflare on the changing scope of internet usageThis podcast represents personal commentary and opinion based on publicly available reporting and sources.It is intended to encourage open discussion, not to provide financial, legal, investment or technology advice. Opinion and freedom of expression are protected under the law. Please review the original sources and make up your own mind.Enjoyed This Episode?If you found this conversation valuable, follow the show so you don’t miss future episodes with founders and growth leaders building in SaaS and tech.Leaving a 5-star review on Apple Podcasts or Spotify helps more aspiring entrepreneurs and founders in the trenches right now to discover the show. And, it supports the growth of the IWON™ community.About the HostMichael J. Thomas is a marketing strategist and Cambridge-accredited coach. He founded DARWIN™ Works Marketing in 2011, helping SaaS and tech companies overcome growth hurdles and build sustainable momentum.Learn more about Michael and DARWIN™ here:https://darwinworks.comAbout IWON™IWON™ (It Wasn’t Over Night) is a long-form podcast exploring what it really takes to build and scale a successful technology company.Find out more about the podcast: https://iwonpodcast.comInterested in being a guest? https://iwonpodcast.com/guests/Want to sponsor IWON™ and help the community thrive? https://iwonpodcast.com/sponsors/Michael J ThomasCopyright 2026 - iwon and DARWIN are registered trademarks. This podcast and those trademarks are wholly owned by, ...
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    23 分
  • Amazon, Meta and Uber + Founders Building with AI | iwon podcast Summer Sessions with Michael J Thomas | Episode 11

    Amazon, Meta and Uber + Founders Building with AI | iwon podcast Summer Sessions with Michael J Thomas | Episode 11
    2026/07/23
    AI has made it seem astonishingly easy to build software.But what information should you pay attention to as a founder?As it's summer time, we felt like it would be a good time share some stories from big tech so you can learn from it all. Don't worry - normal guests and episodes will resume after the holidays (some great ones to come).The aim of this episode is to provide you with what you need to know as a founder. So that you apply some of those lessons to how you plan to use AI to improve your business.Here's the TLDR version for you:A founder recently showed Michael a product he had created using AI in just nine days. It worked. It looked good. But what would happen when a paying customer encountered a problem nobody had anticipated? How would they even know where to begin?That is where a promising demonstration has to become a dependable product.In this first iwon™ Summer Session, Michael J. Thomas explores with you, what Amazon, Uber, Meta and Humata Health shared on AI. The goal is to share useful lessons for founders and AI.Amazon’s experience raises important questions. Uber’s spending demonstrates why producing more code does not necessarily create more customer value. Meta’s enormous infrastructure investment shows that even the largest technology companies must find sustainable business models in the AI era. Humata Health explains why the difficult “final mile” of security, compliance, integration and support still matters.AI has made building easier.Responsibility has not changed.So put your feet up, enjoy the summer and let Michael gently narrate what is happening in AI. Think Bob Ross (how Michael sounds, according to his friend), but with fewer happy little trees and considerably more enterprise software.In this episodeWhy a working AI prototype is not necessarily a dependable productThe difference between vibe coding and responsibly assisted developmentWhat Amazon’s experience with its Kiro coding agent can teach foundersWhy human review and accountability still matterHow Uber reportedly exhausted its annual AI coding budget in four monthsWhy producing more code does not automatically create more customer valueMeta’s projected investment of up to $145 billion in 2026Why Meta is exploring ways to commercialise its AI infrastructureHumata Health’s warning about the difficult “final mile”How AI is changing the build-versus-buy decisionWhy security, compliance, reliability and support can become a competitive moatThree questions every founder building with AI should answerTimestamps00:00 Welcome to the iwon™ Summer Sessions01:09 The AI product built in only nine days01:45 A demonstration is not a dependable product03:47 What Amazon can teach founders about AI-assisted development04:43 Kiro and the reported AWS service interruption05:17 Amazon’s response and the return of mandatory peer review06:25 Why more code does not automatically mean more value06:42 Uber’s AI spending and the customer-value question08:01 Meta’s investment of up to $145 billion08:29 Could Meta turn its infrastructure into another business?10:02 Humata Health and the difficult final mile11:57 How AI is changing the build-versus-buy decision13:03 Why Gartner expects many agentic AI projects to be cancelled13:42 Trust as a competitive advantage14:04 The questions enterprise buyers will increasingly ask15:07 Three questions for founders building with AI16:01 Building is becoming easier, but responsibility is not16:43 Final thoughts from MichaelThree questions for foundersWhat would happen if a customer stress-tested your product tomorrow?Are the depth, reliability and value of your product clear to prospective buyers?Are you creating enough genuine value to make customers want to stay when a competitor can build something similar?Sources and further readingMichael J. Thomas: “Building AI is easy. But is there a business around it?”Computing UK: AWS blames user error, not AI, for cloud outage caused by AIFinancial Times: Amazon service was taken down by AI coding botThe Guardian: Amazon’s cloud reportedly hit by outages involving AI toolsBusiness Insider: Uber COO says AI spending is becoming harder to justifyReuters: Meta raises its 2026 capital expenditure forecast to as much as $145 billionReuters: Meta building a cloud business to sell excess AI capacityReuters: Meta and Anthropic discuss a potential $10 billion compute agreementForbes: Dr Jeremy Friese on how the build-versus-buy decision has changedGartner: Over 40% of agentic AI projects predicted to be cancelled by the end of 2027Follow Michael and iwon™Michael J. Thomas:https://www.linkedin.com/in/realmjt-in/iwon™ podcast:https://iwonpodcast.com/YouTube:https://www.youtube.com/@realmjtApple Podcasts:https://podcasts.apple.com/gb/podcast/iwon-podcast-with-michael-j-thomas/id1882021798Spotify:https://open.spotify.com/show/629GCCMNKOJNblEtz99YbpDARWIN™:https://darwinworks.com/If you enjoyed the episode, please follow the ...
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    17 分
  • Build the Speedboat: How Small Startups Can Beat Much Bigger Competitors | iwon™ podcast | ep. 10 | Sachin Goyal

    Build the Speedboat: How Small Startups Can Beat Much Bigger Competitors | iwon™ podcast | ep. 10 | Sachin Goyal
    2026/07/09
    Big companies move like oil tankers.Smaller B2B tech companies have an advantage - they can move like speedboats.In this 10th episode of the iwon™ podcast, Michael J. Thomas sits down with Sachin Goyal, Founder and CEO of ClarityLoop, to discuss what it really takes to build enterprise SaaS from the ground up.Sachin has worked in high-growth technology environments, including FanDuel and Multiverse, where he helped scale teams and navigate the realities of fast-moving software businesses. But when he started ClarityLoop, he chose a very different path.Instead of raising too early, chasing pitch decks, or blindly following the standard startup playbook, Sachin focused on solving a real problem for a real customer.ClarityLoop helps teams develop performance continuously by using AI to analyse work patterns, surface useful signals, and support better feedback, coaching, performance conversations, and career growth.But this episode is not just about AI, HR, or performance reviews.It is about how enterprise software is really built.Together, Michael and Sachin explore why traditional performance review processes are outdated, why generic startup advice does not always apply to enterprise B2B founders, and why one committed customer can sometimes matter more than thousands of casual users.Sachin also shares the honest lessons he learnt from bootstrapping ClarityLoop, spending months building alongside a major enterprise customer, avoiding early fundraising, and learning why founders need real commitment from customers, not just polite enthusiasm.If you are a SaaS founder, B2B tech founder, technical founder, enterprise software builder, or someone trying to work out whether your idea is actually worth pursuing, this conversation is packed with practical, honest, and deeply useful insight.In This Episode• Why Sachin walked away from hypergrowth to bootstrap ClarityLoop• How ClarityLoop helps teams develop performance continuously• Why feedback should happen inside the work, not months later• Why customer discovery matters more than the idea• What The Mom Test taught Sachin about asking better questions• Why enterprise B2B is completely different from B2C startup advice• Why MVP advice does not always work in enterprise software• The dangers of raising money too early• How small B2B tech companies can beat large incumbents• Why great enterprise SaaS is built through trust and relationships• What Sachin would do differently if he started again• Why managers need better signals, not more dashboards• How AI can help managers prepare for difficult conversations.Connect with Sachin GoyalLinkedIn:https://www.linkedin.com/in/sachin-goyal-se/ClarityLoop:https://www.clarityloop.com/Connect with Michael J. ThomasLinkedIn:https://www.linkedin.com/in/mrmichaelthomas/Stuck where you are with your SaaS or B2B tech product?Michael and the team at DARWIN™ Works help founders simplify their message, sharpen their positioning, and accelerate growth.Find out more:https://darwinworks.com/Learn More About the iwon™ podcastWebsite:https://www.iwonpodcast.comLinkedIn:https://linkedin.com/company/iwon-podcastSuccess isn't overnight.That's why we tell the real stories.Takeaways:Smaller B2B tech companies can beat bigger incumbents by moving faster, listening harder, and building deeper customer relationships.Generic startup advice does not always apply to enterprise SaaS, especially when one customer can meaningfully shape the product and the business.Founders should validate the problem before falling in love with the solution, because the original idea is rarely the final version.Raising money too early can create pressure to grow before the product, customer base, or business foundations are ready.Customer enthusiasm is useful, but customer commitment matters more. Founders need to test interest with real conversations, contracts, payment, or clear commercial intent.AI can improve performance management when it helps people understand patterns, coach better, and grow in their careers, rather than simply monitoring output.Companies and tools mentioned in this episode:ClarityLoopFanDuelMultiverseY CombinatorGitHubJiraConfluenceThe Mom TestAnd many more.Disclaimer: The views expressed in this podcast are those of the individual speakers and do not necessarily reflect the views of the producers or associated organisations.This podcast is provided for informational and entertainment purposes only and should not be considered financial, legal, or professional advice.Trademarks and Copyright: The iwon™ podcast is produced by DARWIN™ Works, a trading name of BlueEyed Digital Marketing Ltd.iwon™ and DARWIN™ are registered trademarks.All content is copyright © BlueEyed Digital Marketing Ltd 2026.
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    52 分
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