From Tencent and Circle: Looking at the Easy and Hard Questions of Investment
The article contrasts the investment prospects of Tencent and Circle in the AI era, framing the decision as a choice between "easy" and "hard" problems, inspired by Charlie Munger's philosophy.
Tencent's stock has declined despite strong earnings, as the market shifted from fearing insufficient AI investment to worrying about excessive spending. The author argues this pessimism is overdone. WeChat's nascent AI agent, Yuanbao, is seen as a prototype for a future, more powerful system-native agent. Crucially, this agent would have system-level permissions to seamlessly interact with the massive Mini Program ecosystem (housing apps like Meituan, Didi, etc.), making it a practical, usable product for billions. The author believes the high-probability success of this inevitable development makes investing in Tencent an "easy" decision that the market is currently overlooking.
Conversely, Circle's recent rise is fueled by the AI narrative, specifically the belief that AI agents will require blockchain-based stablecoins for settlement, with USDC as the leading compliant option. The author deconstructs this bullish thesis, identifying high uncertainties in its core assumptions: whether AI transactions will *necessarily* use stablecoins (vs. other protocols like Google's UCP), USDC's ability to maintain its lead against competitors like Tether or PayPal, and whether stablecoins even possess strong network effects in an agent-dominated world where cost and friction are paramount. The compounding uncertainty makes investing in Circle a "hard" problem, riskier than market sentiment suggests.
In summary, the author posits that Tencent presents a clear, high-probability opportunity (easy), while Circle's future is built on a chain of speculative assumptions (hard).
marsbitВчера 11:20