BIG IDEAS BY NEW ECONOMIES

Ollie Forsyth

Welcome to BIG IDEAS by NEW ECONOMIES - a show where we learn how the most iconic founders have turned crucible moments into global companies. www.neweconomies.co

  1. 4d ago

    Why We Sold To Grammarly | Rahul Vohra

    Subscribe to stay ahead of technology trends. Never miss future editions. Why email never died — and why Superhuman is betting on voice, AI, and the future of work Rahul Vohra, founder of Superhuman and now CEO of Superhuman Mail inside the newly formed Superhuman group, joins NEW ECONOMIES on why email remains the most important layer of modern work, how AI is transforming productivity beyond the inbox, and why distribution and focus matter more than technical moats in the age of infinite software. In our latest podcast episode with Rahul, we unpack Superhuman’s eleven-year journey — from the contrarian decision to reinvent email when everyone said it was dead, to building one of Silicon Valley’s most iconic productivity brands and eventually becoming the foundation for a much bigger ambition: the AI-native productivity suite. We also explore why voice could become the default interface for knowledge work, how AI assistants are becoming a new growth channel for software companies, and why Rahul believes the next generation of winners won’t be defined by who writes the best code — but by who owns distribution, executes relentlessly, and knows what not to build. If that’s not enough, we go deep on the acquisition story that led Grammarly to rename the entire company around Superhuman, why email continues to outperform every prediction of its demise, and what building the productivity bundle of the future actually looks like. Watch or listen now on YouTube, Apple Podcasts, and Spotify Download the transcript Timestamps (0:00) Rahul Vohra(1:44) Why Go After Disrupting Email(4:22) Will Email Still Stay Relevant?(9:20) The Impact of Voice(14:20) PLG: Sent by Superhuman(18:57) Why Moats Are Becoming Increasingly Hard to Build(24:30) How Does Superhuman Group Stay Focused?(28:55) Inside Superhuman(33:20) Missing Products from the Bundle(36:52) The Acquisition(45:45) Ollie Joining as Chief of Staff(47:45) Angel Investing Our notes from this conversation * Email is still the most important protocol at work. Every few years someone declares email dead — and every few years they’re wrong. Email remains identity, authentication, and the default layer for company communication. The interface will change. The infrastructure probably won’t. * Voice is becoming the new keyboard. The breakthrough isn’t transcription — it’s intent. Instead of writing emails, scheduling meetings, and prompting AI manually, people will increasingly speak outcomes and let software execute. Work becomes orchestration. * The biggest moats aren’t technical anymore. Software is becoming cheaper and easier to build. Features get copied faster than ever. Distribution, trust, brand, and knowing exactly what not to build are becoming the new defensibility. * Distribution compounds. Products alone don’t. The winners won’t necessarily be the teams with the smartest models — they’ll be the teams that own attention, create habits, and get embedded where users already work. Distribution has become product. * AI changes interfaces before it changes infrastructure. Voice, agents, and AI-native workflows will reshape how we interact with email, docs, and software — but the systems underneath often survive much longer than people expect. * Focus becomes more valuable as building gets easier. When the cost of creation trends toward zero, restraint becomes leverage. The companies that win won’t build the most — they’ll build the few things that matter. * The next growth channel is AI itself. Users are no longer only discovering products through search, social, or sales. Increasingly, AI assistants recommend, connect, and even activate software on behalf of users. Tools such as The Prompting Company help companies get cited in AI models for example. * The future isn’t humans or AI — it’s humans with AI. The products that endure won’t remove people from work. They’ll amplify judgment, creativity, and decision-making while automation handles the repetitive layers underneath. Links Subscribe to NEW ECONOMIES on YouTube here. Follow Ollie on X (https://x.com/ollieforsyth) Follow Rahul on X (https://x.com/rahulvohra) Sign up to Superhuman (https://superhuman.com) Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    1h 1m
  2. Jun 16

    Replit's President & Head of AI | Michele Catasta

    Subscribe to stay ahead of technology trends. Never miss future editions. Why I built the coding tool everyone dismissed — then watched it take over the Fortune 500 Michele Catasta, President and Head of AI at Replit, joins NEW ECONOMIES on why vibe coding is no longer just for hobbyists, how Replit went from a side project to having 85% of the Fortune 500 as users, and why 2026 is the year everyone becomes an agent manager. In our latest podcast episode with Michele, we discuss Replit's origin story — a fifteen-year journey that started as an open source side project in 2011 and spent years building infrastructure in obscurity before the AI unlock that changed everything — and how launching the very first vibe coding agent on the market, before the term even existed, put Replit at the centre of a category it invented. We also unpack why the SaaS apocalypse is real but overblown, why technical moats don't matter as much as execution moats, and how a crucible encounter with Replit's founder Amjad over a primitive AI demo set the course for what the product would eventually become.If that’s not enough, we also explore why Replit scrambled an enterprise sales team almost overnight after Fortune 500 IT departments started knocking, the Visa partnership that lets anyone monetize a product they built in a single prompt, and why Michele believes the coding problem is almost solved — and what that means for where Replit goes next. Watch or listen now on YouTube, Apple Podcasts, and Spotify Download the transcript Timestamps (0:00) Michele Catasta(1:25) The State of AI(3:25) The Impact of AI Companies Going Public(6:17) What Michele Is Most Excited About(8:50) Replit's Founding Story(18:40) Where Is Vibe Coding Going Next?(21:00) The Role for PMs Today(26:07) What Are Agent Managers?(33:42) Are Technical Moats Relevant?(36:31) Visa Partnership(40:05) Ollie Joining as Chief of Staff(43:48) How to Stay Disciplined(46:27) Rapid Fire Round Our notes from this conversation 1. Launch before the category has a name. Replit shipped a vibe coding agent months before the term even existed. They didn’t wait for validation — they built, launched, and let users define the market. Lesson to founders is to just launch fast. 2. Sometimes being early means writing the playbook, which is totally okay! Product–market fit as we know can takes ages to figure out. For a decade, Replit looked technically strong but commercially stuck. Those years built the infrastructure and conviction that made the AI moment possible. Remember, successes very rarely happens overnight. 3. Enterprise wasn’t actually a strategy for the team - their users pulled them there. When employees started building internal tools, IT followed. Strong PLG can create demand before sales does. 4. Technical moats fade. Execution moats compound. Features can be copied. Judgment can’t. A decade of learning what breaks, scales, and actually matters becomes the real advantage. 5. Coding is becoming the easy part. The harder problem is everything around it — integrations, payments, governance, and infrastructure. The product becomes the platform. 6. 2026 is the year of ‘’the agent manager.’‘ Work shifts from creating everything yourself to directing, reviewing, and orchestrating multiple agents. The operating model changes before the job titles do. Links Subscribe to NEW ECONOMIES: ‪@NEWECONOMIESPOD‬Follow Ollie on X (https://x.com/ollieforsyth) Follow Michele on X (https://x.com/pirroh) Sign up to Replit: (https://replit.com) Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    50 min
  3. Jun 10

    Inside Mercury's Founding Story | Co-Founder & CEO Immad Akhund

    Subscribe to stay ahead of technology trends. Never miss future editions. Why I built banking for America's startups — then rebuilt it around AI Immad Akhund, Co-Founder & CEO at Mercury, joins NEW ECONOMIES on banking one in three U.S. startups, raising $200M without needing a dollar of it, and why the legacy banking system was never going to win. In this episode, we discuss Mercury’s origin story — launched in 2019 when the entire industry told founders that nobody would trust a startup with their money — and how a million-dollar deposit arrived within four days of launch from someone Immad had never spoken to. We dig into why incumbent banks were always going to lose this fight, why AI makes their position ten times worse, and how Mercury is now rebuilding its entire product around the idea that your bank should live inside whatever AI tool you already use.We also explore why Immad dropped all one-on-ones after watching Jensen Huang run NVIDIA with 60 direct reports, the Amazon “working backwards” process that mapped out Mercury’s entire AI roadmap from a single doc, and why the fintech companies that planted seeds in 2017 are only now bearing fruit. Watch or listen now on YouTube, Apple Podcasts, and Spotify Download the full transcript: Timestamps (0:00) Immad Akhund(2:35) Why Raise $200M?(3:55) Why FinTech Is Having a Moment(6:02) How Has AI Impacted Mercury?(10:25) What Is Defensibility Today?(13:29) Mercury Finding Product-Market Fit(15:22) Legacy Banks Never Caught Up(19:22) Inside Mercury's Product Team(23:56) The Nuclear Power of Talent(26:05) Is AI Moving Too Fast?(29:00) Keeping Up-to-Date with AI(31:20) Ollie Joining Immad as Chief of Staff(33:45) Our Latest Product Features(35:45) Immad's Interest in Angel Investing(38:20) Today's Underappreciated Opportunities(40:36) AI Wrappers: Will They Last?(42:34) Why Is Consumer So Hard?(44:17) Immad's Quick-Fire Round Our notes from this conversation 1. Raise when you don’t need to — and the terms will show it Mercury has been profitable for four years. That single fact changed everything about the Series D. When you’re not desperate, you get to choose your investors, your timing, and your narrative. Immad has watched enough founders raise under duress to know the difference — and deliberately built Mercury to a position where fundraising is a strategic move, not a survival one. The best negotiating leverage is not needing the deal. 2. Legacy banks lost because their incentives were always wrong Deposit banking is a cost center for incumbent banks. Their real product is loans. That single structural fact explains almost everything: why they underinvest in product, why they charge fees instead of building features, why their “engineering” teams are actually IT teams stitching together third-party vendors. They weren’t slow to adapt — they were optimized for something else entirely. Mercury was always competing on a different game board. 3. Trust isn’t a brand asset. It’s an infrastructure layer Within four days of launch, someone Immad had never spoken to wired a million dollars into a Mercury account. That moment signaled something real — but it took seven more years to get customers holding $400M in their accounts. Trust compounds slowly and is almost impossible to manufacture quickly. It’s also, eventually, one of the most durable moats in financial services. The product is the interface. The trust is the product. 4. AI made the incumbent problem ten times worse If legacy banks couldn’t keep up with Mercury’s pace over the last decade, they have no chance now. The window for meaningful product decisions has shrunk from years to months. Launching an MCP integration, shipping an AI-native feature, rebuilding a workflow around an agent — these are things Mercury can do in weeks. A bank operating on a core banking vendor’s release cycle cannot. The faster the world moves, the more permanently the gap widens. 5. The paradigm shifts every six months — that’s the feature, not the bug A year ago, nobody was seriously talking about agents living on your machine and connecting to every service you use. Now it’s Mercury’s central product thesis. Immad isn’t trying to predict which paradigm comes next — he’s building an organisation that can absorb the shift when it arrives. Curiosity and optimism aren’t soft skills. They’re survival mechanisms for operating in an environment where the rules rewrite themselves annually. Links Subscribe to NEW ECONOMIES on YouTube. Follow Ollie on X (https://x.com/ollieforsyth) Follow Immad on X (https://x.com/immad) Join Mercury (https://mercury.com) Try Mercury Insights (https://mercury.com/insights) Our NEW MEDIA Community (new-media.co) Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    50 min
  4. Jun 6

    Inside Gusto's Founding Story | Co-Founder & CTO Eddie Kim

    Subscribe to stay ahead of technology trends. Never miss future editions. Why I built America's most-loved payroll company then reinvented it with AI Eddie Kim, Co-Founder and CTO at Gusto, joins NEW ECONOMIES on cracking the small business market, keeping all three co-founders for 15 years, and why he just built the most important product of his career in eight weeks. Watch or listen now on YouTube, Apple Podcasts, and Spotify Download the full transcript: Eddie Kim is the co-founder at Gusto, the small business platform that just crossed a billion dollars in annual revenue serving over 500,000 companies across payroll, benefits, HR, and compliance. A two-time YC founder who met his co-founders at Stanford and at a half marathon starting line, Eddie has spent 15 years proving that the most unglamorous problems in business are often the most valuable ones to solve. In this episode, we explore what it actually takes to build a category-defining company in a space nobody wanted to touch — and why Eddie believes he just built the most important product of his career — Gusto Cofounder: The AI Teammate Built for Small Business. We also explore the blank canvas problem holding AI back from mainstream adoption, why the distinction between engineer and designer is disappearing, and how a team of five people went from zero code to full launch in eight weeks. Timestamps (0:00) Eddie Kim, Co-Founder at Gusto (5:40) Lessons from Y Combinator (9:30) 15+ years on co-founder relationships (15:00) How to give feedback to your co-founders (17:45) The early days at Gusto(21:10) Gusto’s new product: Gusto Cofounder (33:05) How to launch new features (38:15) The rise of solo entrepreneurs (41:25) How to avoid distractions (45:20) How Gusto would launch today from scratch(47:00) Lightning fire round Our notes from this conversation 1. Boring problems are the best problems — if you can stomach the grind In 2011, the hottest companies were chasing eyeballs. Mobile, social, local. Nobody wanted to work on payroll. Hiring was nearly impossible, and one of the category’s own pioneers told the Gusto founders to their faces: don’t do it. That discouragement was actually the signal. The problems everyone avoids are exactly the ones worth solving — because if you can crack them, the competitive field is almost empty. 2. The co-founder relationship is built over years, not conversations All three Gusto co-founders are still at the company 15 years later — a genuinely rare thing. What makes it work isn’t a communication framework or a weekly check-in cadence. It’s shared values, accumulated trust, and the quiet confidence that comes from having survived a hundred disagreements and come out the other side. Real directness — saying what you actually think — only becomes possible once you’ve built that foundation. You can’t shortcut it. 3. The blank canvas problem is AI’s biggest obstacle The reason most small business owners can’t harness AI isn’t capability — it’s context. Install Claude Code or open a frontier model and you’re staring at infinite possibility with no clear starting point. That’s paralyzing. The insight behind Gusto Co-Founder is that AI becomes transformative the moment it’s anchored to a specific domain, with real data and real problems already loaded in. Generic intelligence is a tool. Contextual intelligence is a co-founder. 4. Trust is infrastructure — and it takes 15 years to build Gusto couldn’t have launched its AI co-founder product on day one. The depth in payroll, benefits, compliance, and tax took over a decade to accumulate. That history — 500,000+ customers, millions of data points on what makes small businesses succeed or fail — is what makes the product genuinely useful rather than just technically impressive. The lesson: trust and data are compounding assets. The longer you stay focused on one problem, the harder your moat becomes to replicate. 5. The future of building is builders — not roles The team that built Gusto Co-Founder was five people: four engineers and a designer. No roadmaps, no sprint planning, no documentation. The designer wrote code. The engineers made design decisions. They ran a permanent Zoom call instead of meetings. In eight weeks, they went from zero to launch. That’s not a fluke — it’s a preview. AI is erasing the gaps between specialties. The builder mindset is the only identity that matters now. Links Subscribe to NEW ECONOMIES (‪‪@NEWECONOMIESPOD‬)Discover Gusto CoFounder (https://gusto.com/company-news/cofounder)Follow Ollie on X (https://x.com/ollieforsyth) Follow Eddie on X (https://x.com/edawerd) Our NEW MEDIA Community (new-media.co) Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    55 min
  5. Jun 3

    We Had to Reimagine Nextdoor | CEO & Co-Founder Nirav Tolia

    Subscribe to stay ahead of technology trends. Never miss future editions. Why I Returned As CEO After 5 Years Away Nirav Tolia, Co-Founder & CEO at Nextdoor, joins NEW ECONOMIES on the company's founding story, why Nirav came back as CEO and the impact of community in the midst of AI. Watch or listen now on YouTube, Apple Podcasts, and Spotify Download the full transcript: Nirav Tolia is the co-founder and CEO at Nextdoor, the neighborhood network connecting over 110 million people across communities worldwide. Having built and sold Shopping.com to eBay, returned to lead Nextdoor through a major transformation, and served as a guest shark on Shark Tank, Nirav is one of Silicon Valley’s most seasoned operators. In this episode, we explore what it takes to rebuild a company from the inside — and why the hardest thing in tech isn’t starting, it’s coming back. We discuss Nextdoor’s origin story, born from the ashes of a failed startup called Fanbase, and the crucible moment that gave Nirav the courage to keep going. We dig into what it really feels like to return as founder-CEO after five and a half years away, why incumbency is often the straightest path to irrelevance, and how Nextdoor is repositioning itself for what Nirav calls the age of human connection — where AI reduces friction but real neighbors remain irreplaceable. We also explore the future of local community, the untapped potential of 110 million sign-ups, and the lessons Nirav has taken from working alongside legendary investor and mentor Bill Gurley for over two decades. Timestamps (0:00) Nirav Tolia, Co-Founder & CEO at Nextdoor(2:05) A Multi-year Turnaround (4:20) Crucible Moments That Led to 20+ Million Weekly Active Users (9:25) How to Fight Through Difficult Days (13:20) A Blossoming Co-founding Relationship (17:37) Stepping Away, Then Coming Back as CEO (24:40) The Third Act: An AI-Enabled Version (29:50) The Age of Human Connection (36:30) Building to Stay Relevant (44:30) Will Nextdoor Win In This Market? (52:15) Rapid Fire Round Our notes from this conversation 1. The Crucible Moment Is About Daily Survival, Not Long-Term Vision The romanticized version of founding a company — the carefully considered spreadsheet, the bold strategic plan — is a myth constructed in retrospect. In the moment, it’s pure survival. Nextdoor was born from the ashes of a failed company called Fanbase, with co-founders who gave themselves one last summer to find something that worked. Having the courage to keep going when things are at their darkest is what separates founders who break through from those who don’t. 2. The Only Tolerable Way Through the Entrepreneurial Journey Is With Other People Nirav credits community — specifically his co-founder Sarah Leary, who he’s worked alongside for 27 years — as the through line of everything. Great co-founders aren’t just talented; they’re people you like, respect, and trust in equal measure. You need someone who can crack a joke at the right moment, solve an impossible problem the next, and stay when everyone else heads for the exits. That combination is extraordinarily rare, and when you find it, you don’t let go. 3. Coming Back as CEO Is Harder Than Starting From Scratch Returning founders face a unique psychological challenge: the temptation to restore what once was. Nirav was clear from day one that the answer was never to go back. The company he left in 2018 was different from the one he rejoined in 2023, and the company that needs to be built now is different again. The only useful frame when returning is phase three — learning from both prior chapters, but building something genuinely new. 4. Incumbency Is the Straightest Path to Irrelevance The story of the tech industry is one company eating another in a cycle of creative destruction. Standing still is effectively moving backwards. Nextdoor’s next phase required asking honestly: what still matters to people today, and what doesn’t? The shift from “what happened last weekend in my neighborhood” to “what’s happening this weekend” is deceptively simple but fundamentally changes the product — moving from objective information to subjective, human recommendation, which is something an LLM will never do as well as a neighbor. 5. The Age of Human Connection Is Not in Competition With AI — It Requires It The false choice between AI efficiency and human authenticity is one of the most important things Nirav pushes back on. The birth of the internet was the age of information. The emergence of AI is the age of intelligence. What comes next is the age of human connection — and AI’s role is to reduce the friction that stops people from finding each other, not to replace the connection itself. Nextdoor’s early decision to require real names and verified addresses, made long before AI was a concern, turns out to be one of its most valuable assets in a world where trust and identity are everything. 6. Bill Gurley’s Lesson: Whatever You’ve Achieved, 10x It No matter where Nextdoor reached, Bill Gurley’s consistent challenge was to multiply it. Not iterate — multiply by 10x. That relentless expansion of what’s possible, held by someone who simultaneously believes you’re capable of it, is the rarest and most valuable thing an investor can offer a founder. It’s not just high expectations. It’s high expectations paired with genuine faith. Related previous episodes If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    57 min
  6. May 20

    Maria Sharapova - Tennis Icon | Entrepreneur | Investor | New Media Creator

    Subscribe to stay ahead of technology trends. Never miss future editions. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Maria Sharapova is one of the greatest sporting icons of our time, having played over 800 matches, won 36 singles titles, and claimed 5 Grand Slams. Since retiring from the sport, she has become an entrepreneur, investor, and more recently, the host of her podcast Pretty Tough.In this episode, we explore what it takes to reach the top of your game in sport and why athletes should always be planning for their second act after retirement. We discuss some of Maria’s most iconic championship moments and which fellow tennis icon she has the most respect for.We also explore NEW MEDIA — the latest buzzy tech trend changing how we consume news and information, and who we get it from. Reflecting on our thoughts about the new media landscape, we discuss the impact of AI, how to become a great storyteller, and why creators could become the next generation of reporters at sporting press conferences. This was a very special episode, enjoy! Timestamps (0:00) Intro(3:19) Maria's Proudest Moment(4:45) Preparing for a Match(10:34) How to Find Balance(12:18) The Business of Sport(14:16) Having Dad as a Coach(17:32) Preparing for Retirement(20:40) How to Reinvent Yourself(25:40) New Media: Maria's New Podcast(35:30) Maria's Take on AI(39:55) Is Legacy Media Fading?(44:15) Reflecting on Maria's Career(48:15) Our Pretty Tough Questions Links Subscribe to Pretty Tough (https://www.youtube.com/@mariasharapova)Subscribe to NEW ECONOMIES (https://www.youtube.com/@NEWECONOMIESPOD)Follow Maria on Instagram (https://www.instagram.com/mariasharapova/) Follow Maria on X (https://x.com/MariaSharapova)Follow Ollie on X (https://x.com/ollieforsyth) Recently published editions relevant to new media If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    52 min
  7. May 13

    Why Startup Valuations No Longer Make Sense | Eric Hippeau

    Learn from the greatest technology leaders every week on the NEW ECONOMIES podcast. Subscribe to never miss a future episode. Hey listeners, If you work in tech, you’ve probably heard of Eric Hippeau, co-founder of Lerer Hippeau Ventures, one of the most prominent venture firms focused on the NYC startup ecosystem. With decades of experience in venture capital, Eric joins us to help unpack where we are in the new AI era, and where things may be headed next. Throughout this episode, we discuss what the current state of AI means for startup valuations, how many $10B+ companies this wave could create, what it really means to take a company public and whether it’s still the right path for founders, and how venture firms can continue to stay relevant in a rapidly changing landscape. Finally, as the former CEO of The Huffington Post - one of the most influential digital media publications of its time - Eric shares his words of wisdom on the future of news, creators, and how we consume information online. In this episode, we cover: How Eric thinks about physical AI: Why the best startups won’t just be thin wrappers around existing models. Why today’s startup market feels disconnected: With mega-funds, inflated seed rounds, and fewer realistic paths to liquidity. What happened to journalism online: From building The Huffington Post to navigating today’s fragmented media environment. How is the new media landscape being shaped? Venture capital is changing: Why solo GPs may struggle to compete against larger firms over the next decade. Could AI reshape healthcare: Especially across diagnostics, primary care, and lowering the cost of basic medical services. Anthropic tools like Claude are changing internal workflows: Why some firms are rebuilding around AI from the ground up. AR glasses may deserve another look: Why lightweight wearables could succeed where bulky headsets failed. The best founders treat startups like a marathon: How long-term thinking helps companies survive difficult markets and failed bets. Watch or listen now on… YouTube, Apple Podcasts, and Spotify Chapters in this episode: (0:00) Why the Tech Market Feels Broken Right Now(4:45) The Biggest Tech Trends Everyone’s Watching(10:30) The New North Star for Startups(14:20) The Hidden Cost of Overvalued Startups(21:00) Why Companies Still Go Public(24:00) Why AI Could Create Massive New Wealth(26:40) How VCs Are Fighting to Stay Relevant(32:20) The Biggest Mistakes Solo GPs Make(33:56) How New Media Changed Everything(43:30) Building The Huffington Post(49:10) Can Creators Build Billion-Dollar Companies?(53:00) Rapid Fire Questions Stay in touch Follow Eric on X (https://x.com/erichippeau) Visit Lerer Hippeau (https://lererhippeau.com) Follow Ollie on X (https://x.com/ollieforsyth) If you enjoyed this episode, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    57 min
  8. May 6

    Will AI Models Ever Compensate Creators?

    Learn from the greatest technology leaders every week on the NEW ECONOMIES podcast. Subscribe to never miss a future episode. Hey ReadersIf you work in tech, you’ve probably heard the term “new media” — a new wave of the creator economy where creators are becoming the preferred distribution channels for brands and businesses.To better understand new media, the creator economy, and what the future of writing actually looks like, I spoke with Tony Stubblebine, CEO of Medium, to unpack what’s really happening.We also talked about Medium’s own journey. As many of you know, the company has faced its share of challenges: losing $2.5M a month at its peak, paying back $37M in overdue loans, making painful layoffs during COVID, and facing the enormous task of turning the business around. In this episode, we explore * The $2.5M Monthly Leak: How Tony restructured a “toxic” financial situation and turned a struggling unicorn profitable in under two years. * The Death of Free Traffic: Why the era of “free customers” from Google is ending and how to pivot your business model before it’s too late. * The “Barbell Effect” in Content: Why the middle class of creators is disappearing while AI slop and high-end human expertise move to opposite ends of the spectrum. * The Rise of Private Walled Gardens: Why the best writers are moving their content into private groups to protect their IP from AI scrapers. * AI as a Productivity “Power-Up”: Why writing is currently one year behind programming in the AI-adoption curve - and how to use it to 10x your output without losing your soul. * The Expert Economy vs. The Creator Economy: Why “living a life” is the only defensible moat left in a world of instant AI generation. * The New Rules of Distribution: How to build a “timeless” media brand that survives AI summaries and thrives in a world of subscription fatigue. Watch or listen now on… YouTube, Apple Podcasts, and Spotify In this episode, we unpack: (0:00) Intro (2:10) What is New Media?(5:20) What is good content today? (8:37) How did we end up here as creators?(12:25) Medium’s founding story (19:25) Medium’s lowest era(27:40) Tony’ toughest moments as CEO(31:25) Should creators be concerned about AI? (41:00) Will LLMs compensate creators? (46:12) Is The Creator Economy dead?(51:50) Medium’s next 12 months Links mentioned in this episode:NEW MEDIA (www.new-media.co)Medium (www.medium.com)Books: 1. How to win friends and influence people 2. The First 90 days Content pieces: 1. Want to Raise Venture Capital More Easily? Clean Up Your Own Shite First 2. Fell in a hole, got out TK App (https://medium.com/tk)Follow Ollie on X (https://x.com/ollieforsyth)Follow Tony on X (https://x.com/tonystubblebine) If you enjoyed this edition, help sustain our work by clicking ❤️ and 🔄 at the top of this post. Get full access to NEW ECONOMIES at www.neweconomies.co/subscribe

    54 min

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Welcome to BIG IDEAS by NEW ECONOMIES - a show where we learn how the most iconic founders have turned crucible moments into global companies. www.neweconomies.co

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