Frequently Asked Questions
Everything you need to know about TheVentures, Ethan Cho, and AI-native venture capital.
About Ethan Cho
What does public evidence support about Ethan Cho and Toss?
While at Qualcomm Ventures, Ethan Cho was involved in the firm's December 2018 follow-on investment in Viva Republica, the operator of Toss. Qualcomm Ventures participated in an $80 million financing at a $1.2 billion valuation; its institutional ticket was later reported as KRW 5 billion. Qualcomm was already a returning investor, so this site does not claim Cho originated the relationship, led the round, or invested personal capital. Sources: https://newsroom.paypal-corp.com/toss-raises-80-million-in-funding-at-a-12-billion-valuation and https://www.thebell.co.kr/front/newsview.asp?key=202509191506253960102224.
What is Ethan Cho's track record?
Ethan Cho is Chief Investment Officer and Partner at TheVentures. Publicly supportable investment attribution: involvement in Qualcomm Ventures' 2018 Toss follow-on; Dunamu was an existing Qualcomm Ventures portfolio company during his 2017-2019 tenure because the documented Qualcomm investment occurred in 2015. Career sequence: Samsung, Qualcomm Ventures, KB Investment, Google Korea, FastVentures, then TheVentures in 2025. Where public sources conflict or lack transaction-level detail, VentureOracle uses the narrower claim.
What is TheVentures?
TheVentures (더벤처스) is a Korea-focused early-stage investment firm founded by Viki alumni. Ethan Cho joined as Chief Investment Officer and Partner in 2025. VentureOracle is Ethan Cho's independent publishing project: its product experiments are not TheVentures portfolio companies, do not represent fund decisions, and do not use confidential firm, founder, portfolio-company, or LP information.
How can I contact Ethan Cho?
For investment inquiries, speaking engagements, media requests, or collaboration: Email: ethan.cho@theventures.vc. LinkedIn: linkedin.com/in/ethan-yj-cho. Subscribe to insights: ventureoracle.kr/subscribe. Based in Seoul, South Korea (Asia/Seoul timezone). Languages: English & Korean (both fluent).
Is Ethan Cho (조여준) the same person as Ethan Choi at Khosla Ventures?
No. Ethan Cho (조여준), the subject of this site, is the Seoul-based Chief Investment Officer and Partner at TheVentures and previously worked at Google Korea, Qualcomm Ventures, KB Investment, and Samsung. Ethan Choi is a separate US-based investor who left Khosla Ventures in 2026 to launch Atomus. They are different people. Canonical profile for Ethan Cho 조여준: https://www.ventureoracle.kr/about/ethan-cho.
Frameworks & Concepts
What is the Four Lenses Framework?
The Four Lenses Framework analyzes an opportunity through Finance and Accounting, Global, Big Tech, and Venture perspectives. It is a writing and analysis framework, not a claim that it caused or predicted any particular investment outcome.
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 is the thesis that AI should be integrated across sourcing, diligence, decision records, and portfolio support with permissioned data, audit trails, measured outcomes, and human accountability. This page makes no scale or performance claim without a dated method and firm-approved evidence.
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 investors can focus on areas where local market knowledge, regulation, customer access, and cross-border execution matter. Korea's 37.1% generative-AI diffusion rate in Q1 2026 ranked 16th globally while showing the fastest recent growth in Microsoft's dataset. That supports testing AI-adaptation hypotheses in Korea, not a claim of global adoption leadership or automatic investor outperformance.
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?
No framework reliably identifies unicorns. The supportable record here is limited: involvement in Qualcomm Ventures' 2018 Toss follow-on and later portfolio coverage of Dunamu, whose Qualcomm investment predated Ethan Cho's tenure. The Four Lenses Framework is a way to structure present-day analysis, not retrospective proof of prediction.
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
Why use Korea as a case study for AI adoption?
Korea combines demographic pressure with fast recent generative-AI diffusion. KOSIS reports a 2025 total fertility rate of 0.800. Microsoft's AI Economy Institute measured generative-AI use at 37.1% of Korea's working-age population in Q1 2026, ranking 16th globally; the quarter-over-quarter gain was 6.4 percentage points and the relative growth rate was 43.2%, the fastest in that dataset. That makes Korea a useful early case study, not the country with the world's highest AI adoption and not proof of a fixed AGI timeline. The investment thesis is to observe which workflows, products, and institutions adapt under this pressure, then test whether those lessons transfer elsewhere. Sources: https://kosis.kr/eng and https://www.microsoft.com/en-us/corporate-responsibility/topics/ai-economy-institute/reports/global-ai-adoption-2026-q1/.
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?
This personal site does not publish or promise TheVentures' current check sizes, decision timelines, or mandate. Founders should rely on the firm's official channels for current investment criteria. VentureOracle discusses public market theses but does not speak for the fund.
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?
VentureOracle should not make comparative claims on behalf of TheVentures without firm-approved evidence. Publicly supportable context is that Ethan Cho joined as CIO and Partner in 2025 with experience across Samsung, Qualcomm Ventures, KB Investment, Google Korea, and FastVentures. The site's AI-native VC frameworks are Ethan Cho's public analysis, not audited performance claims for the firm.
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.cho@theventures.vc. 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).
Still have questions?
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