『SEA of Startups』のカバーアート

SEA of Startups

SEA of Startups

著者： Decoding the Pulse of Founders Capital & Conviction in Southeast Asia.
無料で聴く

このコンテンツについて

 🎙 SEA of Startups Decoding the pulse of founders, capital, and conviction in Southeast Asia. This isn’t another “startup success” show — it’s the real conversation behind what actually works (and what doesn’t) when you’re building, funding, or navigating the region’s wild, ambitious ecosystem. From Singapore’s capital corridors to Jakarta’s chaos, Manila’s energy to Ho Chi Minh’s grit — we unpack how ambition, culture, and capital collide. Expect deep dives into founder psychology, venture strategy, and the unspoken truths shaping Southeast Asia’s next decade. Hosted by Kim Yeoh and Kevin Brockland, it’s where strategy meets psychology — a mirror to the builders and believers shaping Southeast Asia. Part strategy, part soul — unfiltered, intelligent, and entirely real.

seaofstartups.substack.comIndelible Ventures LLC マネジメント・リーダーシップ リーダーシップ 経済学
エピソード
  • 🎙EP 18: 400% Returns: How Transformational M&A and AI Will Redefine Southeast Asia’s Next Decade

    🎙EP 18: 400% Returns: How Transformational M&A and AI Will Redefine Southeast Asia’s Next Decade
    2025/11/06
    Episode Title: 400% Returns vs S&P: The 6 M&A Habits Turning Acquisitions Into Capability MachinesTHIS WEEK'S REALITY CHECKCompanies that transform while they transact are delivering 400%+ returns vs the S&P 500 over the last decade.That's not incremental. That's a different category of value creation entirely.Deloitte just mapped how they do it: Six habits that separate transformational acquirers from traditional ones. Grab mastered 5 out of 6. Most Southeast Asian corporates? Still haven't shown up to the fight.This episode breaks down the playbook—and why Southeast Asia keeps getting M&A backwards.WHAT WE COVER📊 The Numbers That MatterWhy 400% outperformance isn't a fluke—it's a patternHow transformational M&A differs from traditional sequential approachesWhy most Southeast Asian corporates are still using outdated playbooks🎯 The Six Habits of Transformational AcquirersLeadership Mandate: C-suite strategy, not finance functionAlways-On Portfolio: Capability P&Ls, not just revenue P&LsTransform As You Transact: Concurrent, not sequentialAI at the Core: Business model shift, not cost optimizationPower in Collaboration: Ecosystem plays, not solo executionWorkforce for Tomorrow: People as bedrock, not afterthought🏢 Southeast Asia Case StudiesGrab: Programmatic capability stacking (but still not profitable)PropertyGuru: Pre-SPAC ecosystem building that attracted $1.1B private take-outDBS Bank: The 27,000-person tech company that happens to do banking🤖 The AI M&A FutureHow AI changes targeting, diligence, integration, and synergy captureWhy build vs buy calculus is shifting (and M&A volume will increase)The vibe coding question and what it means for Southeast Asia⏰ The 24-Month WindowWhy the next 2 years determine the next decadeWhat founders should do this quarterWhy most local corporates will still get it wrongKEY QUOTES"If your M&A strategy is still 'integrate first, transform later,' you're bringing a butter knife to a lightsaber fight." - Kevin"Dead weight kills optionality. And Southeast Asian corporates are carrying a LOT of dead weight." - Kimberley"You're not buying revenue. You're buying capabilities. You're not integrating headcount. You're integrating ecosystems." - Kevin"Grab didn't succeed because they had the best technology. They succeeded because they built teams that understood Jakarta differently than Singapore." - Kimberley"The companies that move in the next 24 months will define the next decade. The ones that wait will watch the window close." - KevinFEATURED DATA POINTS📈 Transformational M&A returns: 400%+ vs S&P 500 (over 10 years) 📊 Deloitte report: Six habits of transformational acquirers 🏢 Grab acquisitions: Kudo, Bento, GrabInvest, Jaya Grocer, digital bank license 💰 PropertyGuru exit: $1.1B private take-out by EQT (2024) 🏦 DBS workforce: 27,000 people (tech company that does banking) ⏱️ Traditional integration timeline: 18+ months ⚡ AI-enabled integration: Near real-time synergy capture 📉 SEA M&A volume: Historically low, ticking up slowly 🎯 Timeline prediction: 3-5 years for local corporates to adopt programmatic M&ATACTICAL TAKEAWAYSFor Founders:Five Decision Audit: Label last 5 strategic calls as defense vs offense. Rebalance if skewed.Live Capability Target List: 10 companies/partners/tech you could buy/partner/replicate. Refresh monthly.Board Agenda: Put transformation on board agenda with 3-5 year capability map.For Corporates:Treat M&A as C-suite strategy, not finance functionBuild capability P&Ls, not just revenue P&LsStart transformation pre-deal, not post-integrationEmbed AI at the core of M&A processBuild corp dev function if you don't have oneFor Investors:Track which companies are stacking capabilities vs chasing revenuePrioritize teams that understand ecosystem playsWatch for AI-enabled M&A processes as competitive advantageRESOURCES MENTIONED📄 Deloitte Transformational M&A ReportSHOW NOTES (DETAILED TIMESTAMPS)[00:00] Cold open: The gut check every SEA founder needs [01:01] The 400% number: Why transformational M&A outperforms [01:30] Six practices from Deloitte's new playbook [02:32] Old M&A vs transformational M&A: What actually changed [04:38] Southeast Asia receipts: Grab, PropertyGuru, DBS [08:21] PropertyGuru's capability thesis pre-SPAC [09:48] DBS masterclass: 27,000-person tech company [11:39] The build vs buy calculus is shifting [13:57] Vibe coding and what it means for M&A in SEA [17:12] Deloitte's six habits breakdown begins [18:30] Always-on portfolio: Capability P&Ls vs revenue P&Ls [21:20] Will startups still want to be acquired? [24:09] AI at the core: Not cost-out, business model shift [25:17] Power in collaboration: Why SEA is designed for this [27:34] The next 3-5 years: M&A volume predictions [28:52] AI-enabled M&A: Targeting, diligence, integration [31:05] Programmatic M&A: Will SEA corporates adopt it? [33:31] Catalyst analysis: What drives M&A volume increase [34:44] Family businesses and ...
    続きを読む 一部表示
    39 分
  • 🎙️ EP 17: 680 Million People. 11 Regulatory Systems. 1 Opportunity: Turning ASEAN’s Chaos into Capital.

    🎙️ EP 17: 680 Million People. 11 Regulatory Systems. 1 Opportunity: Turning ASEAN’s Chaos into Capital.
    2025/10/29
    THIS WEEK'S REALITY CHECKThe 47th ASEAN Summit just wrapped in Kuala Lumpur. Trump was there. China's Premier showed up. Everyone talked about integration.Meanwhile, the smartest founders in Southeast Asia are betting on something completely different: That the chaos isn't a bug—it's the entire competitive moat.This episode unpacks why ASEAN's fragmentation might be its biggest strategic advantage, and what founders need to do in the next 24 months before the window closes.WHAT WE COVER🌏 The ASEAN Integration ParadoxWhy 58 years of "working toward unity" might be missing the pointThe middle child syndrome: Too big to ignore, too fragmented to dominateWhy EU-style integration would probably destroy what makes SEA interesting💰 Why Silicon Valley Keeps Failing HereGoogle, Uber, Amazon—the graveyard of Western tech in Southeast AsiaHow Grab succeeded where Uber failed (hint: it's not just execution)The competitive moat that only local players understand🎯 The Strategic Non-Alignment PlaybookMalaysia's simultaneous partnerships with China, UK, and U.S.Singapore's multi-ecosystem strategyHow to become the Switzerland of the tech cold war🏙️ The Tier One City ThesisWhy KL has more in common with Bangkok than with Alor SetarHow to think about regional expansion without waiting for perfect alignmentThe borderless team concept that actually works⏰ The 24-Month WindowWhy the next 2 years determine the next 2 decadesWhat happens when ecosystems lock inFive tactical moves that separate exits from shutdownsKEY QUOTES"What looks like chaos is just Southeast Asia building its own operating system." - Kevin"Grab took 12 years to navigate 11 different regulatory systems. That's not a bug. That's the training ground that creates anti-fragile companies." - Kimberly"The tier one cities have more in common with each other than they do with tier two cities in their own countries." - Kevin"Strategic non-alignment isn't fence-sitting. It's positioning yourself as the translator when two superpowers don't speak the same language." - KimberlyFEATURED DATA POINTS🌏 ASEAN population: 680 million people (3rd largest market globally) 💰 Combined GDP: $4+ trillion 📊 ASEAN age: 58 years old (middle-aged in geopolitical terms) 🚀 Grab market presence: 12 years across 8 countries 🏢 SEA Group: 10+ years building in fragmented markets 🏛️ Number of ASEAN regulatory systems: 11 different frameworks 💳 Payment structures: 10+ different systems across regionTACTICAL TAKEAWAYS FOR FOUNDERSIf you're fundraising:Default to regional thinking from day onePlan for 24-30 month runways (not 18)Map policy advantages across markets systematicallyIf you're scaling:Build borderless teams with deep local knowledgeStudy government priorities in each marketEngage regulators as partners, not obstaclesIf you're entering SEA:Don't wait for perfect alignment—it's never comingFocus on tier one cities firstBuild for fragmentation, not uniformityRESOURCES MENTIONED📄 47th ASEAN Summit Outcomes (May 2025) 📄 Malaysia-US Trade Agreement Details 📄 ASEAN Digital Economy Framework 📄 Startup ASEAN Summit Agenda🔗 CONNECT WITH US:💼 LinkedIn: Kim Yeoh and Kevin Brockland 📧 Newsletter:https://seaofstartups.substack.com/ALSO ON: Apple Podcast and Youtube TAGS:ASEAN, Southeast Asia, startups, venture capital, regional expansion, fragmentation, competitive strategy, market entry, emerging markets, Grab, SEA Group, government relations, cross-border business, tech ecosystem, strategic partnerships This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit seaofstartups.substack.com
    続きを読む 一部表示
    35 分
  • 🎙️ EP 16: The $1 Trillion AI Feedback Loop: Why OpenAI's Circular Deals Will Either Create the Future or Collapse Like Cisco in 2000

    🎙️ EP 16: The $1 Trillion AI Feedback Loop: Why OpenAI's Circular Deals Will Either Create the Future or Collapse Like Cisco in 2000
    2025/10/16
    Your grandmother probably thinks AI is just fancy autocomplete. Your investors think it’s the next industrial revolution. Both might be right. And that’s exactly the problem.Welcome to the most expensive game of musical chairs in human history.In October 2025, OpenAI—the company that made you question whether your job is safe—signed roughly $1 trillion worth of deals. Not over decades. Not in theoretical future value. One trillion dollars in commitments that locked together the biggest names in tech like a high-stakes game of Twister.Nvidia committed up to $100 billion to OpenAI’s data centers. AMD followed with tens of billions more. Oracle inked a $300 billion cloud contract. Each company took equity stakes in OpenAI while simultaneously becoming its customer and supplier.It’s beautiful. It’s terrifying. And if you’re building anything in Southeast Asia, it’s about to force your hand.The Flywheel That Might Break the WorldHere’s what’s actually happening beneath the surface of those press releases.OpenAI needs computing power—not just a lot, but an almost incomprehensible amount. We’re talking 20 gigawatts worth of data centers. That’s the output of 20 nuclear reactors, running continuously, just to train the next generation of AI models.They can’t pay for this upfront. So they’ve structured deals where chipmakers like Nvidia essentially finance OpenAI’s infrastructure in exchange for guaranteed orders. Nvidia’s money buys data centers filled with... Nvidia chips. Which OpenAI uses to train AI models. Which drives demand for more Nvidia chips. Which justifies Nvidia’s stock price. Which gives Nvidia more currency (in the form of valuable equity) to invest in... OpenAI.See the loop?Now multiply this across AMD, Oracle, Microsoft, and a web of cloud providers and startups. Everyone is simultaneously the investor, the customer, and the supplier. Capital flows in a perfect circle, each deal reinforcing the next, each rising stock price validating the previous bet.This is either the most sophisticated value-creation flywheel ever constructed, or it’s vendor financing on steroids.The Cisco Parallel Nobody Wants to Talk AboutIf you’re over 35, you remember what happened to Cisco Systems.Late 1990s. Internet boom. Cisco was the arms dealer of the dot-com gold rush—selling routers and networking equipment to every startup that raised venture capital. Their stock went parabolic. They briefly became the most valuable company on Earth.Then came the vendor financing strategy. Cisco would invest in or loan money to internet companies... so those companies could turn around and buy Cisco equipment. Revenue exploded. Wall Street cheered. Cisco executives became billionaires.Until the music stopped.When the dot-com bubble burst in 2000, Cisco discovered that a huge chunk of their “revenue” was actually just their own money cycling through customer companies. Those customers went bankrupt. Cisco’s stock dropped 90%. The playbook that seemed genius became the textbook example of bubble economics.Nvidia’s $100 billion stake in OpenAI looks uncomfortably similar.Is this time different? Maybe. AI is real in a way many dot-com businesses weren’t. ChatGPT has 200 million users. Companies are deploying AI in actual workflows, not just buying vaporware.But here’s the uncomfortable question: How much of AI’s current growth is real demand versus artificially inflated demand created by these circular financing arrangements?Why This Matters for Southeast Asia (And Why You Have Less Time Than You Think)While this trillion-dollar poker game plays out in Silicon Valley and Shenzhen, Southeast Asia is being forced to make a choice it didn’t ask for.Do we join this ecosystem on whatever terms we can get? Or do we try to build our own capabilities knowing we’re years behind?The honest answer: We need to do both. And we have maybe 24 months before the window closes.Here’s why the timeline is so tight.Right now, these mega-deals are still being structured. Standards are still fluid. The technology stack is still evolving. There’s room for regional players to position themselves as integration layers, deployment partners, or specialized service providers.But once these circular deals lock in—once Nvidia’s chips only work seamlessly with Microsoft’s cloud which only optimizes for OpenAI’s models—the interoperability window slams shut. You’re either inside the ecosystem or permanently outside it.And if you’re outside? Good luck competing when your opponent has access to computing power you can’t afford, AI models you can’t replicate, and partnership networks you can’t penetrate.This is the new digital divide, and it’s being drawn right now.The Robot Revolution Nobody’s Pricing InIf the AI investment loop was just about software and cloud services, we could debate whether it’s sustainable. But there’s a second wave coming that changes everything: ...
    続きを読む 一部表示
    50 分
まだレビューはありません