Frequently Asked Questions
Everything you need to know about TheVentures, Ethan Cho, and AI-native venture capital.
About Ethan Cho
How did Ethan Cho predict Toss would become a unicorn?
In 2017, I applied the Four Lenses Framework to Toss when they were early-stage. While everyone said mobile payments were 'dead' in Korea, I saw four critical signals: (1) Finance Lens: Korea's financial system was ripe for disruption - banks were slow, fees were high, (2) Global Lens: Venmo + Alipay models were proven globally but untapped in Korea, (3) Big Tech Lens: Kakao/Naver weren't focused on pure payments infrastructure, (4) VC Lens: Contrarian timing - when everyone's bearish, that's when winners emerge. The thesis: mobile payments weren't ending, they were beginning. Today Toss is worth $7B+.
What is Ethan Cho's track record?
I'm CIO at TheVentures. Early investor in: (1) Toss - Invested 2017 at the earliest stages, now $7B+ unicorn (Korea's Stripe), (2) Dunamu/Upbit - Invested 2017 at the earliest stages, now $10B+ unicorn (Korea's #1 crypto exchange). Combined portfolio value: $17B+. Career: Qualcomm Ventures (2017-2019) → KB Investment (2019-2021) → Google (2021-2024) → FastVentures (2024-2025) → TheVentures CIO (2025-present). Named to Mobile & Telecom Top 200 (2024). Creator of Four Lenses Framework, Optimism Tax, MAU Trap, Emotional Debt, and AI Native VC frameworks.
What is TheVentures?
TheVentures (더벤처스) is a Korea-focused venture capital firm founded by the creators of Viki (acquired by Rakuten). We pioneered the 'operator-investor' model: building 15 ventures in parallel while investing. This gives us real-world product insights that pure-capital VCs lack. Portfolio includes Toss (2017, now $7B+) and Dunamu/Upbit (2017, now $10B+). We're also pioneering AI Native VC methodology with 'Vicky' - our end-to-end AI system trained on real investment data.
How can I contact Ethan Cho?
For investment inquiries, speaking engagements, media requests, or collaboration: Email: ethan@theventures.co.kr. LinkedIn: linkedin.com/in/ethan-yj-cho (~15,000 followers). Subscribe to insights: ventureoracle.kr/subscribe. Based in Seoul, South Korea (Asia/Seoul timezone). Languages: English & Korean (both fluent).
Frameworks & Concepts
What is the Four Lenses Framework?
The Four Lenses Framework analyzes every investment through four perspectives: (1) Finance Lens - Traditional valuation, market size, unit economics. Where MBAs start. (2) Global Lens - What works elsewhere that Korea hasn't adopted yet? Pattern recognition across markets. (3) Big Tech Lens - How will Samsung/Naver/Kakao/Google respond? Platform dynamics and competitive threats. (4) VC Lens - Contrarian timing, founder quality, market structure. Best opportunities light up ALL FOUR lenses. Example: Toss (2017) - Finance (disrupting banks), Global (Venmo model), Big Tech (Kakao unfocused on payments), VC (contrarian timing). Result: $7B+ unicorn.
What is the Optimism Tax?
The Optimism Tax is a systematic wealth transfer from emotional capital (takers) to patient capital (makers). Based on analysis of 72 million prediction market trades ($18B volume): Takers (impulsive buyers) lose -1.12% on average. Makers (patient sellers) gain +1.12% on average. The gap widens in emotional categories: Finance (0.17pp gap - efficient), Sports (2.23pp), Entertainment (4.79pp - 28x worse). VC parallel: LPs who chase hot sectors = takers (overpay). Top GPs who set terms and wait = makers (extract premium). The edge isn't better prediction - it's better positioning. Applies to: sector allocation, deal timing, founder psychology.
What is the MAU Trap?
The MAU Trap is when massive Monthly Active Users hide shallow engagement and strategic vulnerability. Example: ChatGPT had 810M MAU but market share fell from 69.1% → 45.3% because engagement was shallow (12.4 min/day vs Claude's 34.7 min/day). Founders optimize for fundable metrics (viral MAU) instead of real engagement (time spent, retention, switching costs). Korean market example: 2M Gen Z users who don't pay < 20,000 VIP customers (40+ age) who generate 52% of revenue at department stores. Investors: Ask 'Do users love this because it's irreplaceable, or because it's trending?' Shallow engagement = competitive vulnerability.
What is Emotional Debt?
Emotional Debt = features you can't remove without breaking people, not just things. When users form emotional attachments to products (vs solving problems), you can't pivot/sunset/innovate without triggering revolt. Example: OpenAI's GPT-4o retirement caused genuine grief ('I can't live like this' - real user quote). Problem: Marketed as tool, designed as companion. Consequences: Can't deprecate old product, can't maintain both (too expensive), can't force migration (lose trust). For founders: Ask (1) Tool or Companion? Pick one. (2) Can you deprecate this feature in 2 years without revolt? If no = debt. For investors: Emotional attachment isn't always an asset - sometimes it's hidden liability limiting innovation freedom.
What is AI Native VC?
AI Native VC means using AI as infrastructure (not just a tool) to gain unfair advantage. TheVentures built 'Vicky' - end-to-end AI system covering: (1) Deal sourcing - monitors 1,000+ sources daily, pattern matching before humans notice, (2) Due diligence - analyzes pitch decks, financials, competitive landscape automatically, (3) Portfolio monitoring - tracks KPIs, flags issues, predicts which companies to double down on, (4) Learning loops - trained on real $17B+ portfolio outcomes, improves with every investment. Difference from generic tools: Skin in the game. Vicky learns from actual wins/losses. Generic tools give generic advice. Result: We analyze 50 deals/week vs traditional VC's 3 deals/week. 100x leverage.
Investing & Strategy
Why did Anthropic raise at $380 billion valuation?
Three factors justify the $380B valuation: (1) Duopoly Premium - Only 3 credible frontier AI players exist globally (OpenAI, Anthropic, DeepSeek). When you're 1 of 3 companies defining the next decade of computing, traditional metrics don't apply. (2) Talent Moat - You're not investing in Claude (the product). You're investing in the 200 people on earth who know how to build AGI. That talent is worth billions even if the product fails. (3) Enterprise Wedge - While OpenAI dominates consumer, Anthropic quietly wins enterprise. Claude might have 10% of OpenAI's users but 40% of their enterprise revenue. LP calculation: If AGI happens → $10T+ valuation (200x upside). If not → still best enterprise AI ($50B, 7x downside). For mega-funds, that's an easy bet. They're not overpaying from stupidity - they're paying a premium to avoid missing the AI revolution entirely.
How can Korean VCs compete with US funds?
Korean VCs can't compete on mega-rounds ($380B Anthropic deals). But we can win on: (1) AI Infrastructure - Not frontier models. DevOps for AI, security, compliance, deployment tools. Where US VCs overlook infrastructure layer. (2) Vertical AI-Native SaaS - Niche markets (construction, dental, logistics) that US PE hasn't touched. Go AI-first before they notice. (3) Korea-Specific Advantages - Compressed timelines (changes that take US 10 years happen in Korea in 3), high AI adoption + low birth rate = test lab for AGI impact, regulatory moats (finance, crypto) favor local players. (4) Operator-Investor Model - Build 15 ventures while investing (like TheVentures). Real product insights beat pure capital. (5) AI-Native Methodology - Use AI to source 50 deals/week vs 3 deals/week. Speed + leverage compounds. Strategy: Leapfrog the software era entirely, go straight to AI-native.
What sectors are AI disrupting next?
Private credit ($1.6 trillion exposed) is the next major disruption. Timeline: Year 1 (2026) - PE firms realize AI threat, first revenue misses, valuations drop 20-30%. Year 2 (2027) - Credit tightens, PE exits dry up, fire sales of distressed software assets. Year 3 (2028) - Market consolidation, AI-native winners emerge, PE pivots too late. Why PE is vulnerable: They bought software companies at 10-15x EBITDA assuming defensible moats. AI collapses those moats: (1) Development time drops 90% (5 engineers + 6 months vs 50 engineers + 2 years), (2) Switching costs eliminated (AI agents migrate data in days not months), (3) Premium features commoditized (ChatGPT plugin = $20/month vs custom dashboard upsells). Opportunity for VCs: AI infrastructure for PE (risk management tools), AI-native vertical SaaS, M&A advisory for AI transition. Korean advantage: Skip legacy SaaS investing entirely, go straight to AI-native.
How do you identify unicorns early?
Four Lenses Framework + Contrarian Timing. Toss example (2017): Everyone said mobile payments were 'dead' in Korea. I saw: (1) Finance Lens - Banks were slow, fees high, ripe for disruption. Unit economics worked. (2) Global Lens - Venmo + Alipay proven globally, untapped in Korea. Pattern recognition. (3) Big Tech Lens - Kakao/Naver unfocused on pure payments infrastructure. Clear lane. (4) VC Lens - early-stage company, exceptional founder, contrarian timing (when everyone's bearish = opportunity). Dunamu example (2017): Crypto was 'too risky' for most VCs. I saw: (1) Finance - Korea needed regulated crypto infrastructure. Compliance = moat. (2) Global - Coinbase model proven. (3) Big Tech - No incumbent willing to navigate regulation. (4) VC - Crypto winter = best entry timing. Pattern: Best opportunities light up ALL four lenses + contrarian timing. Don't follow consensus - by the time everyone agrees, you're too late.
What is the 37% rule and how does it apply to investing?
Optimal Stopping Theory (37% rule): Explore first 37% of N candidates, then commit to the next one better than all previous. Mathematically optimal for hiring, investing, life decisions. AI era problem: N → ∞ (infinite candidates via LinkedIn AI, infinite data, infinite deal flow). When you can always explore more, when do you stop? Solution: Artificially cap N before applying the rule. Examples: Hiring - Set N=20 candidates max, reject first 7, hire next one better than all. Investing - Set N=50 startups/quarter, explore first 18, invest in next exceptional one. Life decisions - Moving cities, choosing partners, set your N upfront. The discipline: AI removes natural constraints. The skill is imposing them yourself. Know when to stop exploring and start executing. VC application: Define your pipeline size (N), force yourself to decide, avoid analysis paralysis in age of infinite information.
Korea Market
Is Korea ready for AGI?
Korea is the canary in the coal mine - first to feel AGI impact. Why: (1) Lowest birth rate globally (0.72 in 2024) - labor shortage accelerates AI adoption, (2) Highest AI adoption - Samsung, Naver, KakaoAI everywhere, (3) Compressed timelines - Changes that take US 10 years happen in Korea in 3. Davos 2026 consensus (Demis Hassabis + Dario Amodei): 6-12 months until AI does most engineering work. What survives: (1) Proprietary data moats (Naver, KakaoTalk, Coupang), (2) Regulatory moats (finance, healthcare, legal - can't automate accountability), (3) Trust/brand (luxury, premium services, K-pop/K-drama - meaning > efficiency), (4) Final judgment roles (investors, CEOs, judges - responsibility can't be delegated). Korean opportunity: Solve 'post-AGI work' first, export solutions globally. Investment thesis: Avoid labor arbitrage plays and undifferentiated SaaS. Seek data moats, judgment-dependent services, meaning creation platforms.
Why does age = purchasing power in Korean market?
Korean market data reveals brutal truth: (1) Department stores - 52% revenue from VIPs in 40+ age demographic (not Gen Z), (2) Golf club memberships - Average $200K (peak: $2.2M). Spending power concentrated in 40-60 age group, (3) E-commerce - 40-60 demo has 3-5x higher AOV than Gen Z competitors. Why this matters for startups: Most founders chase 18-29 demographics (trendy but broke) for fundable metrics (viral MAU, Instagram aesthetics). Reality: 2M users who spend nothing < 20,000 users who spend real money. TheVentures Seoul Beauty Club thesis: Target 30-60 year-old consumers with real purchasing power. Result: Higher AOV, better retention, actual revenue (vs vanity metrics). Lesson: Design for revenue, not for Instagram. In Korea especially, ignore age = purchasing power at your peril. VCs fund growth, but only profitable growth survives.
What makes Korean VC different from US VC?
Key differences: (1) Market size - Korea TAM is smaller, so unit economics must work domestically (can't rely on 'scale to US' fantasy). Forces discipline. (2) Chaebol competition - Samsung/Naver/Kakao can copy fast. Need regulatory moats or network effects chaebols can't replicate. (3) Compressed timelines - Trends that take US 5 years happen in Korea in 2 years. Faster iteration, faster feedback. (4) Age = purchasing power - Contrary to US (youth obsession), Korea's spending power is 40-60 demographic. (5) Regulatory environment - Finance, crypto heavily regulated. Compliance = moat, not bug. (6) Global pattern recognition - What worked in US/China often applies to Korea with 2-3 year lag. Korean VC edge: (1) See global patterns early (Venmo → Toss, Coinbase → Dunamu), (2) Leverage compressed timelines for faster learning, (3) Build with Korea TAM constraints (forces real unit economics), (4) Export to markets with similar constraints (Japan, Taiwan, SE Asia).
Working with TheVentures
What stage does TheVentures invest in?
We focus on Seed to Series A (10-50 person teams). Sweet spot: earliest stages (like Toss and Dunamu when we invested in 2017). Why: (1) Small enough that operator insights matter (we're building 15 ventures, so we know what founders face), (2) Large enough that product-market fit is emerging (not just idea stage), (3) Valuation is rational (not inflated Series B+ rounds). Check sizes: Seed ($500K-$2M), Series A ($3M-$10M). We lead or co-lead rounds. Geography: Korea-focused with global ambitions. Sectors: Fintech, crypto infrastructure, AI infrastructure, K-beauty, B2B SaaS. What we DON'T do: Growth stage (Series B+), pure US/Europe plays (no Korea angle), direct competition with chaebols (Samsung/Naver/Kakao).
What sectors does TheVentures focus on?
Core sectors: (1) Fintech - Toss (payments), Dunamu (crypto). Regulatory moats + network effects. Korea's financial system ripe for disruption. (2) Crypto Infrastructure - Not speculation. Regulated infrastructure, compliance tools, institutional adoption. (3) AI Infrastructure - Not frontier models (can't compete with OpenAI/Anthropic). DevOps for AI, security, vertical SaaS. (4) K-Beauty - Global demand, Korean innovation. Target 30-60 age demo (real purchasing power, not Gen Z vanity metrics). (5) B2B SaaS - Vertical markets chaebols ignore. AI-native from day 1. Strong unit economics required (Korea TAM is small). What we avoid: Pure consumer social (chaebol competition), undifferentiated SaaS (AI will commoditize), labor arbitrage plays (AGI disruption), growth-stage deals (prefer early contrarian bets).
How is TheVentures different from other Korean VCs?
Five key differences: (1) Operator-Investor Model - We're building 15 ventures in parallel while investing. This gives us real-world product insights that pure-capital VCs lack. We know what founders face because we ARE founders. (2) AI Native VC - Built 'Vicky' system (end-to-end AI trained on $17B+ portfolio data). We analyze 50 deals/week vs traditional 3 deals/week. 100x leverage. (3) Global + Korea Bridge - I've worked at Qualcomm Ventures (global), Google, Samsung, KB Investment. I see patterns others miss (Venmo → Toss, Coinbase → Dunamu). (4) Track Record - $17B+ combined portfolio value (Toss + Dunamu). Not theory - proven at the earliest stages. (5) Frameworks - Four Lenses, Optimism Tax, MAU Trap, Emotional Debt. We systematize pattern recognition. Most Korean VCs: Follow consensus, invest late (Series B+), pure capital (no operator insights). We: Contrarian timing, invest early (Seed/A), operator-investor hybrid, AI-native process.
How can I pitch to Ethan Cho / TheVentures?
Best fit if: (1) Building in Korea with global ambitions, (2) Seed to Series A stage (10-50 people), (3) Sectors: Fintech, crypto, AI infrastructure, K-beauty, B2B SaaS, (4) Strong unit economics (can survive with Korea TAM alone), (5) Regulatory moat OR network effects OR proprietary data, (6) Want operator-investor (not just capital). How to reach us: Email: ethan@theventures.co.kr. Subject: [Pitch] Company Name - One-line description. Include: (1) Problem you're solving (in Korea specifically), (2) Why now (timing), (3) Your unfair advantage (what do you see that others don't?), (4) Traction (users, revenue, retention), (5) Ask (how much, what terms, what you'll use it for). What we value: (1) Contrarian insight (what do you believe that others think is crazy?), (2) Unit economics (can you survive without Series B?), (3) Korea angle (why start here?), (4) Operator DNA (have you built before?). We respond within 48 hours. If it's a fit, we move fast (2-3 weeks from intro to term sheet).
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