1. The "hedging" prospects of BTC: a final settlement tool, not a short-term safe haven

Li Yihua's insights are sharp, but one point must be clarified: BTC's "hedging" is fundamentally different from traditional assets' "hedging" logic.
In the short term, it is a "risk asset": during the initial phase of sudden geopolitical or financial crises, the market will fall into a "liquidity panic," and institutions will indiscriminately sell all sellable assets (including BTC and gold) to exchange for cash or government bonds, which usually causes all risk assets to decline simultaneously. Therefore, buying BTC at the moment of crisis may result in catching a falling knife halfway up the mountain.
In the long term, it is the ultimate tool to hedge "sovereign credit risk": its "hedging" value manifests when the traditional system fails. When fiat currency credit is damaged, the banking system is fragile, and capital controls are imposed, BTC, as a global, censorship-resistant, permissionless settlement network, will have its value re-priced. Recent rumors that Iran is considering accepting BTC as a settlement currency for oil trade exemplify this "sovereign-level" hedging application.
Conclusion: do not expect BTC to rise counter to the trend like gold every time the market panics. The real "hedging" opportunity appears in the late stage of a crisis, when people begin to question and reconstruct the traditional financial system. At this point, BTC’s unique value as a non-sovereign, hard cap global reserve asset will fully emerge. The "verification timing" and "allocation opportunity" Li Yihua mentioned refer precisely to this stage.

2. The entrepreneurial opportunities of AI + Web3: reshaping the value layer, not merely replicating the application layer
The integration of AI and Web3 is not simply about adding AI functions to Web3 applications, but about leveraging their core advantages to jointly solve key pain points for both each other and the traditional world.
Currently, the three most core and promising integration points are:
AI's "decentralized infrastructure" (DePIN for AI): AI development heavily depends on computing power and data. Web3 can aggregate global idle GPU resources (such as personal high-end graphics cards and unused data center capacity) through decentralized computing networks, providing AI developers with lower costs and more censorship-resistant solutions. This addresses the "power" problem in AI development.
Verifiable AI: AI is a "black box," and its decision-making process is difficult to trust and audit. Web3's core technologies—zero-knowledge proofs (ZKP) and verifiable computation—can provide "reasoning proofs" for AI models. You can verify whether an AI diagnosis, risk control decision, or content was generated by a specific model without exposing its core data and weights. This solves the "trust" issue in AI, which is crucial for finance, healthcare, and other fields.
AI Agent Economy: In the future, a large amount of online activity will be carried out by AI agents representing users. Web3 can provide these AI agents with decentralized identities (DID), autonomous payment capabilities (smart contracts), and incentives (tokens). Imagine a swarm of AI agents autonomously collaborating, trading data, completing tasks, and automatically settling in a decentralized marketplace—this will give rise to a new, machine-driven micro-economy system.
Entrepreneurship advice: do not stay at the superficial level of "AI-generated NFTs" or "AI trading bots." The real opportunity lies in using Web3's technological philosophy and incentive mechanisms to build the more open, trustworthy, and efficient infrastructure necessary for the AI era. This is the true path of Li Yihua's "low-cost creation of global products" and the "AI navigation" of the great voyage. #Gate广场四月发帖挑战