Innovators Inside

Jaksot

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  The AI Hype Tax: Why AI Demos Fail in Production | Andrew Brooks 15.09.2026 49min

  AI demos are easy. Building AI that actually works inside a business is much harder.Andrew Brooks, founder and CEO of Contextual.io joins Ian Bergman to unpack the AI hype tax, the hidden cost of confusing ChatGPT, Copilot, and impressive prototypes with real business transformation.They explore what makes an AI system truly production ready, why even 99% accuracy can create serious problems at scale, and where human judgment, guardrails, governance, and accountability still matter.You’ll also learn how to decide when to build AI capabilities versus rent existing tools, why differentiated data and workflows should guide that decision, and how AI can amplify expertise instead of simply replacing people.For founders, operators, and innovation leaders trying to turn AI experimentation into measurable business value, this conversation offers a practical framework for separating hype from what actually works.Key Topics⏱️ 04:14 What is the AI hype tax?💸 09:50 Where companies are wasting money on AI🧠 16:18 Human + AI: why the goal is augmentation, not replacement🏗️ 22:20 Why simply turning on Copilot is not enough🏰 27:23 Build vs. rent: when custom AI actually makes sense📊 29:56 Accountability, governance, and measuring AI ROI🏠 34:35 What enterprise AI can learn from the smart home era💡 40:52 How employees can become internal AI champions🔮 46:39 What Andrew was wrong about AI two years agoEnjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How Frontier Tech Gets Funded Before It Becomes a Startup with Emmanuel Vallod 01.09.2026 47min

  Emmanuel Vallod, Partner and Head of Venture Research at Hivemind Capital, joins Ian Bergman to explore the funding gap between academic research and startup formation. They discuss Dark Matter Lab, a new model for supporting frontier technologies before a company fully exists, and why AI infrastructure, deep tech, robotics, and other research-heavy projects may require a different approach to pre-seed investment.The conversation also goes inside some of the technologies being developed today, from the engineering challenges behind space-based data centers to new computing architectures and robotics designed around how humans actually interact with intelligent machines.🧭 1:36 Meet Emmanuel Vallod🚀 2:20 Why Space Is Hard for AI Data Centers🛰️ 4:15 What Space-Based Compute Could Actually Look Like⚙️ 10:13 The Technology Needed to Make It Work💡 15:16 When Breakthrough Research Has No Company Yet🧪 17:12 Why Valuable Research Gets Stuck💰 20:09 The Idea Behind Dark Matter Lab🔬 26:07 How to Evaluate Research Before There Is a Product🏛️ 29:39 Why Grants Are Not Enough🧠 32:17 Why Frontier Tech Needs Technical Investors📈 36:14 Can Private Capital Fill the Research Funding Gap?🤖 39:44 Why Humanoid Robots May Be Wrong for the Home🚀 45:07 What Changes If Dark Matter Lab Works?🔎 45:51 Where to Follow Emmanuel and Dark Matter LabEnjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.This episode offers a practical look at how technical risk gets reduced, why promising research gets stuck, and what investors need to understand before backing the next generation of deep tech companies.Topics
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  How Public R&D Powers AI, GPS and Breakthrough Innovation with Arati Prabhakar 18.08.2026 52min

  The technologies reshaping our lives today, from GPS and semiconductors to AI and self-driving cars, often began decades before they became commercial products.In this episode of the Innovators Inside Podcast, Ian Bergman talks with Arati Prabhakar, former director of the White House Office of Science and Technology Policy (OSTP), DARPA and NIST, about the public research, institutions, and long-term investments behind some of America’s most important technological breakthroughs.Arati explains how government-funded R&D helped create the foundations for GPS, the internet, advanced semiconductors, mRNA vaccines, autonomous vehicles, and modern AI. She also breaks down why DARPA consistently produces breakthrough technologies, how organizations can avoid the expertise trap, and why some of the biggest opportunities for AI may lie beyond business productivity.They also explore a bigger question: What happens to innovation when a country stops investing in ideas that may take decades to pay off?Key Topics00:00 🎙️ Introduction01:47 👋 Meet Arati Prabhakar03:07 📍 The Hidden Innovation Behind the GPS Blue Dot08:00 📱 How Public Research Built the Modern Smartphone10:01 🔬 Why Government R&D Matters for Innovation12:55 🤖 The 70 Years of Research Behind Modern AI17:25 🚀 How DARPA Creates Breakthrough Technologies22:15 🧠 Avoiding the Expertise Trap in Innovation27:05 ⚠️ Why America’s R&D System Is at Risk33:35 🇺🇸 What Should America Invest in Next?38:24 🤖 Why AI Is Not Just a Marketing Problem42:57 💡 Creating Value Beyond Business Productivity43:35 🚗 How DARPA Helped Launch Self-Driving Cars46:30 ⏳ Why Breakthrough Innovation Takes Decades47:02 🏛️ How Public Research Funding Actually Works50:30 🔮 Rebuilding America’s Innovation FutureEnjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  AI Startups, Capital Efficiency, and the Future of Venture Capital with Dave Lambert 04.08.2026 48min

  Dave Lambert, founder and managing director of Right Side Capital Management, explains why early-stage companies are reaching revenue faster, operating with smaller teams, and potentially needing far less venture capital.Drawing on insights from more than 2,000 portfolio companies, Dave joins Ian Bergman to explore what investors now look for in AI startups and how founders can compete in a market where software is easier than ever to build.Key Topics🤖 How AI is reshaping startup economics📉 The falling cost of building and scaling software🚀 Why AI startups are reaching revenue faster⚙️ AI agents that execute work, not just assist humans💰 Capital efficiency and the changing need for venture funding📊 What investors now look for in early-stage companies🏢 Why enterprises are adopting startup technology faster🛡️ Building products that remain defensible as AI improves🔧 The return of hardware, marketplaces, and tech-enabled services📣 Why branding and customer acquisition will matter more🌱 When founders should avoid traditional venture capital📈 Profitability, EBITDA, and the future of startup valuations🧠 The psychology behind investor decisions🔮 Technology hype, adoption, and predicting the futureEnjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How to Move AI From Pilot to Production in 90 Days with Ingrid Curtis, CEO @ Sparq 21.07.2026 46min

  Most AI projects do not fail because the technology is not ready. They fail because companies choose the wrong problem, keep iterating without shipping, or never move beyond the pilot stage.Ingrid Curtis, CEO of Sparq, explains how leaders can identify their highest-impact opportunity, get AI solutions in front of real users, and connect innovation to measurable growth.Key Topics🎯 How to identify the right AI opportunity🚧 Why AI pilots stall before production⚙️ Spark’s ACT framework🚀 Moving from “problem zero” to a live solution📈 Using AI for growth, not only efficiency🧠 Why human judgment still matters🏢 How AI may reshape teams and accountability🔮 What an AI-native company could look like📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Why Vertical AI and Quantum Software Are the Next Big Bets with Garnet Heraman 07.07.2026 50min

  Garnet Heraman, co-founder and GP at Aperture Venture Capital, joins Ian Bergman to explain how investors can separate real technology shifts from hype. They explore vertical AI, enterprise adoption, quantum infrastructure, and why historical patterns still matter in fast-moving markets.Garnet shares how his journey from startup operator to venture investor shaped the way he evaluates emerging technologies. He breaks down why generic enterprise AI may struggle, why vertical AI can create deeper value in industries like healthcare, insurance, and finance, and how adoption often lags behind aspiration.The conversation also looks ahead to quantum computing, including why AI utilization may drive demand for quantum infrastructure, why software could be the next major opportunity in the quantum stack, and how quantum could transform asset management, climate risk, and financial services.For founders, operators, and innovation leaders, this episode offers a practical way to think about technology cycles, enterprise behavior, and where the next wave of opportunity may emerge.Key Topics🚀 Garnet Heraman’s path from startup operator to venture investor🧠 Why startups went from job to career to lifestyle🤖 Vertical AI vs. generic enterprise AI📈 The gap between AI aspiration and real adoption🏥 How AI can improve healthcare payment integrity🔁 Why historical patterns still matter in emerging markets💡 How investors identify clusters, momentum, and market timing⚛️ Why quantum infrastructure may follow AI utilization🧩 The next opportunity in quantum software, middleware, APIs, and orchestration🌍 Quantum’s potential role in climate finance and risk management💼 What founders and innovation leaders can learn from market cyclesChapters🚀 Introduction to Garnet Heraman 00:01:05🧭 From immigrant roots to startup leadership 00:02:08💼 When startups became a lifestyle 00:04:19🔁 From operator to venture investor 00:07:12🤖 How Aperture thinks about AI investing 00:10:04🧠 Why vertical AI matters more than generic AI 00:12:20📈 Enterprise AI adoption and the utilization gap 00:15:18🏥 Healthcare AI and payment integrity 00:20:36⚡ Where we are in the AI adoption cycle 00:23:11📚 Why history helps investors spot patterns 00:26:02🔮 Predictive AI and the future of communication 00:30:23⚛️ Why quantum is becoming impossible to ignore 00:34:00🧩 The link between AI utilization and quantum infrastructure 00:35:29📊 How Garnet identifies market clusters and momentum 00:37:06💻 Why quantum software may be next 00:39:04🧪 Learning the quantum market through experts and research 00:41:05💰 Quantum finance, asset management, and trading 00:45:00🌍 Climate finance and quantum risk management 00:46:19🎙️ Final thoughts and where to follow Garnet 00:49:06📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  AI for Business Leaders: Geoff McQueen on Organizational Intelligence, Better Decisions, and the Future of Management 23.06.2026 49min

  AI is changing how businesses make decisions, manage teams, and compete. In this episode of Innovators Inside Podcast, Ian Bergman and Geoff McQueen, Founder and CEO of WorkSights AI, explore how AI can move beyond individual productivity and workflow automation to become a new layer of intelligence for the entire organization.Geoff shares why the next big opportunity in AI is helping leaders understand what is really happening inside their business, using existing digital signals, audit logs, and company context to surface insights that dashboards often miss.They also discuss what this means for managers, founders, and innovation leaders as AI reduces busywork, improves visibility, and raises the bar for entrepreneurial leadership.You’ll learn:• Why individual AI tools are only the first phase of business transformation• How AI agents and workflow automation may reshape productivity• Why Geoff believes the third wave of AI is organizational intelligence• How leaders can use AI to move from status updates to better coaching• Why qualitative context matters more than dashboards alone• What entrepreneurs should know about building in an AI-powered world• Why go-to-market is getting harder, even as building products gets easier📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Burn the Boats: Matt Higgins on Bold Innovation, Founder Resilience, and Building What Comes Next 09.06.2026 46min

  Matt Higgins, CEO and co-founder of RSE Ventures, joins Innovators Inside to unpack what it really takes to build boldly when there is no fallback plan. From Shark Tank and Harvard Business School to defense tech, indoor air sanitation, venture capital, and West Palm Beach’s rise as an innovation hub, Matt shares practical lessons for founders, operators, and leaders making high-stakes decisions.In this episode, Matt breaks down why “burning the boats” is not about reckless risk. It is about committing fully to the right goal, staying self-aware, and being willing to abandon the wrong tactics fast.This conversation is for founders, innovation leaders, and operators who are building through uncertainty, betting on emerging categories, or trying to understand when bold commitment becomes a real advantage.Key Topics:🔥 Burn the Boats and what bold commitment really means🧠 How to tell the difference between goals and tactics🚀 What Matt Higgins looks for in great founders📉 Why self-awareness matters when going all in🛩️ Building Performance Drone Works before drones became obvious🏙️ Why West Palm Beach could become a major innovation hub💡 How strong innovation ecosystems are built from scratch🦠 The future of indoor air sanitation with Izyum💰 Venture capital, category creation, and early market signals❤️ Turning survival, hardship, and purpose into impact📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Designing an Incorruptible Company: Eric Ries on How Founders Resist Mission Drift 26.05.2026 1t 20min

  How do great companies lose their mission, and how can founders stop it before it starts?In this episode, Eric Ries, author of The Lean Startup and Incorruptible, explains how mission drift, shareholder pressure, false metrics, and weak governance push organizations away from real value creation.Eric breaks down why so many companies optimize for financial proxies instead of human flourishing, why “best practices” often lead to mediocre outcomes, and what founders, executives, and operators can do to build organizations that stay principled as they scale. He also shares practical ideas on governance, board structure, public benefit corporations, culture, metrics, and how leaders can defend their values when pressure mounts.If you are building, leading, or reinventing a company, this conversation will challenge how you think about profit, trust, growth, and long-term performance.Key topics📘 Why Eric Ries wrote Incorruptible after The Lean Startup🧭 How mission drift turns great companies into hollow institutions💰 Why shareholder primacy became the default logic in modern business📊 How false proxies and financial metrics distort decision-making🏗️ What makes an organization truly incorruptible🛡️ Governance moves founders can make early to protect the mission🧪 How Lean Startup principles fit with values, truth, and long-term thinking🌱 What “human flourishing” means in practice for builders and leaders🧲 Why principled companies attract better talent, customers, and outcomes⚔️ How founders can respond when boards or investors pressure them to compromise🔁 Whether large incumbents can recover after corruption takes hold🚀 Why long-term company resilience requires more than founder-led intensity📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Category Creation Formula: Kevin Maney on Building New Markets, Winning Dominant Design, and Leading Innovation 12.05.2026 1t 2min

  Category creation can help founders and innovation leaders stop competing in crowded markets and start defining new ones. In this episode of Inside Podcast, Ian Bergman and Layne Fawns talk with Kevin Maney, co-founder of Category Design Advisors, and author of The Category Creation Formula, about how companies create and lead new market categories.Kevin breaks down his framework: context + missing + innovation = new category. He explains why dominant design matters more than first-mover advantage, how Netflix and Tesla shaped customer behavior, and why category strategy can align product, marketing, and leadership around a bigger opportunity.Key Topics🚀 Category creation for founders and innovators📐 Context + missing + innovation🏆 Dominant design vs. first-mover advantage🎬 Lessons from Netflix, Tesla, Zamboni, and Chrysler🤖 AI, creativity, and authenticity🏢 Innovation inside large companiesChapters🎙️ Introduction to Kevin Maney and Category Creation 00:00🤖 AI, Creativity, and the Human-Machine Partnership 02:11🎨 Authenticity, AI, and the Future of Creative Work 08:24📘 Kevin’s Journey from Tech Journalism to Category Design 15:48🚀 What Category Design Means and Why It Matters 20:33📐 The Category Creation Formula 21:02🧠 What a New Category Really Is 23:15🏆 Why Competitors Can Validate a Category 26:01🥇 Dominant Design vs. First-Mover Advantage 28:03🚗 The Zamboni Story and Hidden Category Creation 31:31🔁 Market-Product Fit vs. Product-Market Fit 35:42🧭 How to Understand What Customers Really Need 38:41🏷️ Category vs. Brand 41:20📣 How to Know a Category Is Catching On 43:38🎬 Netflix, Timing, and the Adjacent Possible 46:11⏱️ How to Know When the Market Is Ready 54:31🏢 Category Creation Inside Large Companies 56:19💡 Final Takeaway for Founders and Innovation Leaders 01:00:38📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Adaptive Leadership: How to Lead Through Change, Creativity, and Uncertainty with John Michael Schert 28.04.2026 55min

  How do leaders create real change when the problem has no clear answer?In this episode, Ian Bergman and Layne Fawns sit down with John Michael Schert, founder of JMS & Company, to explore adaptive leadership, creativity, organizational change, and why the hardest part of innovation is often letting go of what used to work.John Michael brings a rare perspective shaped by professional ballet, nonprofit leadership, entrepreneurship, Harvard-trained adaptive leadership, and years advising teams through complex change.This conversation breaks down why creativity is not just a soft skill, but a practical tool for founders, operators, and innovation leaders facing uncertainty.Key topics🎯 Why people are not afraid of change, they are afraid of loss🏔️ How success can become a trap for founders and organizations🧩 The difference between technical problems and adaptive challenges💡 Why creative choices are fragile before they can be proven🛡️ How leaders can protect teams while they work through uncertainty👂 Why listening and diagnosis matter before jumping to solutions🤝 How to build coalitions instead of trying to drive change alone🎭 What organizations can learn from artists without romanticizing creativity🔄 Why innovation often starts by letting go of the 10% that no longer serves the system📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How to Use AI to Build Better Thinkers, Teams, and Companies with Vivienne Ming 14.04.2026 1t 13min

  In this episode, neuroscientist, entrepreneur, and author Vivienne Ming explains why the biggest opportunity in AI is not automation, but helping people think better, ask better questions, and solve harder problems.Vivienne breaks down the difference between well-posed and ill-posed problems, why most companies are using AI the wrong way, and how leaders can build cultures that reward exploration instead of safe answers. She also shares practical ideas on human and AI collaboration, learning, innovation, and preparing people for a future where routine work matters less and judgment matters more.Key topics🤖 AI augmentation vs automation🧠 Well-posed vs ill-posed problems🚀 Why better questions drive innovation🏢 How leaders can reward productive failure👥 Human and AI collaboration in real work📚 How to build better thinkers, teams, and kids for the futureChapters00:00 🧠 Intro to Vivienne Ming01:55 ⚡ Rapid fire and the nature of real innovation05:37 🔍 Why facts are not enough anymore08:16 🤖 AI, well-posed problems, and ill-posed problems15:58 🚀 Why the future belongs to people who explore the unknown20:26 🏢 How leaders build cultures that reward productive failure21:51 🔥 The efficiency lie in AI27:00 👥 AI augmentation vs automation29:52 👶 How to prepare kids for an AI-shaped future33:27 🗺️ Designing tools that make people better35:56 📚 Why AI tutors should not give answers37:14 🛠️ What leaders should do differently right now43:36 🌍 Vivienne’s realistic view of the future of AI47:55 📊 Using AI to uncover human behavior and hidden patterns57:40 🧭 How people really make decisions01:01:28 🧪 Hybrid intelligence and human + AI teams01:07:10 💡 Why human + AI teams outperform01:10:20 ✅ The real choice: stay shallow or go deep📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How to Get AI Into Production: Wendy Gonzalez on Data Quality, Human-in-the-Loop Systems, and Trustworthy AI 31.03.2026 1t

  In this episode, Wendy Gonzalez, CEO of Sama, breaks down why high-quality data, human-in-the-loop systems, and clear evaluation standards are essential for building AI that actually works at scale.Wendy shares how enterprises train, validate, and improve AI models in the real world, from autonomous vehicles to e-commerce recommendations and generative AI. She also explains why dirty data, edge cases, and weak quality standards can quietly kill AI performance, trust, and adoption.You’ll also hear a sharp conversation on responsible AI, model bias, regulation, language inclusion, and why founders and innovation leaders need to define what “good” looks like before shipping AI products.If you are building, buying, or leading AI initiatives, this episode offers practical insight on AI deployment, trustworthy AI, training data, model accuracy, and the human systems behind production-grade machine learning.Key topics🤖 How to get AI into production and keep it there🧠 Why human-in-the-loop systems still matter in modern AI🧹 What dirty data is and how it hurts model performance🎯 Why edge cases define real-world AI success📊 How enterprises think about AI quality, validation, and ROI🚗 Lessons from autonomous vehicles, safety, and model training🛒 How recommendation engines and search relevance depend on better data🌍 Why language, culture, and context matter in AI models⚖️ Responsible AI, regulation, and the tension between policy and speed🔍 How users can think critically and decide when to trust AI outputs👥 How Sama connects AI training work with economic opportunity and impact💼 Leadership lessons on humility, growth, and “firing yourself” as a CEO📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How AI Is Helping Local Governments Unlock Billions in Funding with Dhruv C. Patel 17.03.2026 55min

  In this episode, Ian Bergman sits down with Dhruv C. Patel, co-founder of Syncurrent, to explore how AI is helping local governments, Tribal Nations, and public agencies find and access funding faster, turning a process that once took months into something that can happen in minutes. Together, they unpack why so many communities are shut out of critical funding opportunities, how outdated systems create massive inefficiencies, and why GovTech may be one of the most meaningful frontiers in innovation today. Dhruv also breaks down the deeper questions shaping public sector technology, including trust, regulation, access, equity, and the responsibility that comes with building tools that influence how resources reach real people. It’s a sharp, optimistic conversation about AI, government innovation, underserved communities, and what it really looks like to build technology that helps society function better.Topics🤖 00:00:00 The next decade of innovation: human, chaotic, and uncomfortable🚀 00:06:05 How Dhruv built Syncurrent from a consulting business into an AI-first GovTech company💸 00:09:19 The hidden funding problem facing 90,000 local governments across the U.S.🏛️ 00:12:10 How Syncurrent helps cities, towns, and Tribal Nations find grants in minutes instead of months📈 00:14:05 Why product-led growth works in government and how Syncurrent made adoption easier🌾 00:16:42 Why underserved rural communities may be the most important market in tech📄 00:19:38 Why finding funding is only the beginning: applications, deadlines, and compliance🔥 00:22:20 Why GovTech is heating up and how AI can expand public sector capacity⚖️ 00:25:13 The debate around public funding: friction, trust, and accountability📊 00:29:30 How easier access to funding could influence policy and future resource allocation🧩 00:33:20 Resistance to GovTech, the status quo, and who gets left behind🤝 00:35:18 How Syncurrent is building trust with governments through partnerships and referrals🌍 00:39:27 The bigger vision for AI in government and why Dhruv sees technology as deeply human📱 00:49:45 The access challenge: internet, devices, and making innovation more inclusive❤️ 00:52:10 Why technology should help communities move forward, not leave them behind📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Responsible Innovation: Open Banking, AI, and Building Tech That Serves People First with Dr. Hisham Alasad 03.03.2026 52min

  What if innovation is not about moving faster, but moving with purpose? In this episode of Innovators Inside, Ian Bergman sits down with Dr. Hisham Alasad, head of innovation enablement at Qatar Airways, to unpack a human-first view of innovation shaped by fintech, academia, and a bold move to Qatar. They break down what open banking really changes, why banks fight it, and how open finance could unlock better, cheaper products for consumers. Then they go deeper: why innovation requires overcoming fear, why closed systems stall progress, and what a “Responsible Innovation” framework could look like that is ethical, inclusive, scalable, and beneficial beyond the balance sheet. They close with a big vision: using AI to help create opportunity and peace in the Middle East.Topics & Timestamps🍫 00:00:00 Welcome Hisham Alasad🧠 00:04:32 The one skill future leaders cannot skip: emotional intelligence🤖 00:06:49 AI as a permanent teammate, plus the keyboard vs voice bet⚡ 00:13:16 Tech progress vs fragile infrastructure and reliability🌍 00:17:10 Why Hisham moved to Qatar and how he avoids “comfort zone stagnation”🏦 00:19:25 Open banking explained: data ownership, APIs, and breaking bank lock-in🧾 00:23:08 How banks react to open banking: wait and see, distributor, manufacturer, or platform🧍 00:31:08 Open finance and why digital identity is a key prerequisite🔮 00:34:34 The “Holy Trinity” prediction: open data + AI + quantum computing by ~2030😨 00:36:27 Why innovation is overcoming fear (and how fear hides behind “risk” and “regulation”)🧭 00:39:36 The Responsible Innovation framework: purpose alignment, open ecosystems, governance, ESG ROI, scalability✈️ 00:47:31 Banking vs aviation: the shared foundation is trust🕊️ 00:49:18 “AI for Peace”: a vision to build a Silicon Valley of the Middle East🧩 00:52:09 Closing lesson: innovation is not about speed, it’s about direction📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Disrupt or Be Disrupted: Jim Stallings on Leading Through Change, AI Speed, and Venture-Backed Innovation 17.02.2026 1t 2min

  What does it really take to lead through constant disruption? Jim Stallings, Founder and CEO of PS27 Ventures, shares lessons from a career spanning the U.S. Marine Corps, senior leadership roles at IBM, and now early-stage investing. Jim breaks down how IBM turned Linux from free software into a multibillion-dollar business, why internal resistance is often the biggest blocker to innovation, and how leaders can use customers to force change. He also explains what he looks for in founders, why leadership matters more than a perfect plan, and how AI is collapsing product cycles from years to months.Topics & Timestamps📚 00:00 The Innovator’s Dilemma and why it still defines innovation today🗓️ 02:45 AI tools, gamification, and how platforms drive behavior🧠 13:08 The most critical skill for future leaders: iteration🪖 15:04 From the Naval Academy to IBM leadership💡 23:43 Turning Linux into a $7B business at IBM🛡️ 27:25 Using the voice of the customer to overcome internal resistance🏛️ 33:17 Why putting Linux on the mainframe changed everything🔬 37:15 Patents, invention timing, and winning before the sale🌍 41:06 Why emerging markets adopt innovation faster🧑‍💼 43:22 How PS27 Ventures evaluates founders and ideas⚡ 46:25 AI speed, Copilot, and shrinking innovation cycles🤖 50:49 What it really means to be AI-native🏆 56:06 Leadership vs planning and the investment that proved it📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How to Build AI Apps People Actually Use (MVP Blueprint, Vibe Coding, Health Tech Predictions) | Ghazenfer Mansoor 03.02.2026 56min

  Building an app is easy. Building an app people keep using is the hard part. In this episode, we sit down with Ghazenfer Mansoor, Founder and CEO of Technology Rivers and author of Beyond the Download. He breaks down why so many software and AI projects fail, how to design an MVP that is truly usable, and the “blueprint” process that helps teams plan the right foundation before writing code. We also talk about how AI is changing product development, why developers need to think like product engineers, and how teams can use AI tools to move faster without creating unscalable messes. Plus, Ghazenfer shares what he is seeing next in health tech, especially the rise of predictive, personalized care.Topics & Timestamps🚀 00:00 Intro to Ghazenfer, Technology Rivers, and building AI-driven products🍎 01:07 Rapid fire: disruption, food innovation, and longevity📚 05:24 Favorite book and the people skills founders still need💥 09:14 Failure as learning and why persistence wins🧠 11:12 From Pakistan to startups to building products that users want🧱 15:38 Why “build it and they will come” fails🏗️ 16:20 MVP that is usable, not a demo (the studio apartment metaphor)🧩 19:02 The Blueprint process: plan enough, then iterate fast📲 23:18 Beyond the Download: building mobile apps people remember❤️ 28:06 How to know if your app is remarkable (the dating profile test)🍏 30:13 Getting featured by Apple and what drives visibility🤖 34:12 How AI is changing software teams and product building⚡ 37:31 Using AI tools to create a POC in hours before a sales call🧑‍💻 39:43 Why developers must think like product engineers now🧭 43:14 Building an AI-forward culture, even with resistance🧪 47:32 Weekly AI learning rituals, goals, and tool budgets🏥 53:22 Health tech trends: prediction and personalized insights🔗 55:04 Where to find Ghazenfer and Technology Rivers📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  Go Big From Day One: Corporate Startup Partnerships, Global Scale, and the AI Noise Problem With Noga Tal 20.01.2026 41min

  Startups and corporates need each other. But most partnerships fall apart. In this episode, Ian Bergman talks with Noga Tal about what actually makes these relationships work. They break down why thinking big early is not hype, it is planning. How founders can back up a bold vision with data and steps. Why corporate bureaucracy kills momentum. How to align on the real why, set shared metrics, and define an exit plan that protects the relationship. They also dig into emerging markets, what AI changes, why AI creates more noise than ever, and how to keep the human element alive while moving fast.Topics & Timestamps🚀 00:00 Welcome and who is Noga Tal🧭 01:07 The accidental techie path from nonprofits to Microsoft🌍 04:17 Why founders should think global from day one🧱 05:33 The hidden product and ops decisions that block scale🎯 07:02 How to pitch big vision with real data and steps🤝 11:23 Why corporates and startups need each other but struggle to win together⚠️ 14:05 The real reasons partnerships fail, misalignment, speed, and unclear problems🧰 18:06 How to de risk collaboration with goals, checkpoints, and an exit strategy✅ 19:58 How to “fail with success” and keep the relationship intact🔁 21:26 The story of pivoting a massive partnership when nobody was happy🌐 26:26 Emerging markets and why new innovation models will matter more🤖 31:21 AI is changing partnerships and creating a flood of look alike startups🏎️ 33:20 Standing out with messaging, trust, and speed🧑‍🤝‍🧑 35:55 Keeping the human element as AI reshapes teams and work🩺 39:50 A real example of using AI to advocate for better healthcare outcomes📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How Amazon’s Innovation Framework Can Transform Your Startup with Marcelo Calbucci 06.01.2026 1t 16min

  In this episode, Marcelo Calbucci breaks down the innovation habits that shaped his career at Microsoft, Amazon, and across six startups. He explains why small, fast iterations beat big plans, how narrative driven strategy unlocks clarity, and why today’s founders should embrace niche, hyper specialized solutions. Marcelo also shares how Amazon’s PR FAQ framework can help any innovator inside a startup or a large company make better decisions, avoid wasted cycles, and build products that truly solve customer problems. We also dive into regional and global innovation, community as a catalyst, the future of AI, and the universal truths every builder should adopt.Topics & Timestamps🧠 00:00 Marcelo’s background in innovation and why tech pulled him in🚀 08:00 Why tech enables instant iteration and faster learning💸 11:20 How the VC model is shifting toward profitable smaller scale companies🌐 15:05 Why community accelerates innovation and how Marcelo builds founder circles📘 17:45 Inside Marcelo’s book and the PR FAQ framework📝 20:00 Universal truths of innovation and why they matter🏢 25:30 Why innovation is harder in big companies and how to make it work🧩 28:50 Simple definitions of innovation that actually matter🛠️ 31:40 How anyone can start using the PR FAQ method today🏛️ 36:00 How Amazon avoids consensus thinking and mediocrity✍️ 43:00 Why narrative combined with data is a superpower🏗️ 47:55 Where startup and corporate innovation should diverge📞 58:15 Marcelo’s experience at Hiya and lessons on scaling teams💡 1:15:12 Marcelo’s final advice start small and learn fast📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.
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  How to Turn Information Overload into Signal with Syncro Founder Yunsu Tang 23.12.2025 37min

  You can’t avoid pain, but you can choose which pain is worth it.In this episode of Innovators Inside, Hong Kong–raised entrepreneur and two-time TEDx speaker Yunsu Tang shares her journey from a stable corporate career in Hong Kong and Shanghai to rebuilding in London’s startup ecosystem. She unpacks imposter syndrome, why anxiety often comes from a lack of data points, and what she learned from hundreds of user interviews. Then she breaks down how her new company Syncro uses AI to turn information overload into actionable stakeholder intelligence—without losing sight of the deeply human need for real, imperfect connection.Topics & Timestamps🎯 00:00:00 Choosing your pain and intro to Yunsu & Syncro🌏 00:01:22 Growing up in rural Hong Kong and going global🎓 00:03:00 Leaving a top firm for LSE and entrepreneurship🧠 00:06:06 Imposter syndrome, emptiness, and mental health🔍 00:08:21 300+ interviews and what’s broken in career coaching⚙️ 00:13:44 What Syncro is and why stakeholder intelligence matters📡 00:17:25 Information overload, AI, and filtering real signal🧪 00:19:20 Biggest challenge: narrowing features and pivoting💬 00:25:14 Human needs, raw content, and connection in an AI world🔥 00:30:08 Resilience, survival mode, and finding joy in hard things🚀 00:33:56 What’s next for Syncro and upcoming milestones💡 00:35:19 Founder advice: you can’t avoid pain—so choose yours📺🎧 Enjoying the conversation?Discover more stories of innovation and transformation at alchemistaccelerator.com/podcasts — and explore how today’s leaders are shaping the future.