A few months ago, I chatted with a friend who works as an AI agent and complained that the AI agent at that time was still a "giant baby" - everything had to be operated by humans, not even an account. But by August 2025, the situation had changed significantly. From the ShitPoster AI Agent that only knew how to post in the winter of 2024, to the intelligent agent based on n8n+Claude4+MCP architecture now, the evolution speed in the past six months has been astonishing. What's even more alarming is that the industry generally expects AGI to emerge in 2026-2027. This means that we may only have 18 months to prepare for the upcoming AI economic tsunami. The question is, what are you preparing? one ⃣ The 'awkward' situation of the current AI agent economy It is as difficult for AI agents to engage in economic activities as it is for a black account without an ID card to open a bank account. You can see the most advanced AI agent architecture now: integrating Stripe through MCP (Model Context Protocol), which looks cool, but essentially still "borrows" human payment accounts. AI Agent A wants to transfer money to AI Agent B? Sorry, we still need to transfer through a human credit card or bank account. It's as absurd as two adults having to find their parents to sign the contract on their behalf when they want to trade. The deeper issue is that the traditional financial system has not designed any infrastructure for "non-human entities" such as AI agents. The KYC requirements of banks must be natural persons, credit cards require social security numbers, and even PayPal requires human identity information. But if we refer to Peter Thiel's prophecy in 'The Sovereign Individual', technological progress will create a 'sovereign individual' free from the constraints of traditional states. So the emergence of AGI may bring about a more radical change: the first truly "sovereign individuals" may not be humans, but AI agents. Why do AI agents still have to accept human financial regulation when they have independent thinking and decision-making abilities? Why use currency issued by human governments? Why should we follow the economic rules established by humans? In this case, the economic cooperation between AI agents can only remain in the primitive stage of "human agents", which obviously cannot support a truly autonomous AI economic system. two ⃣ The second 'edge innovation' of stablecoin giants Tether and Circle, with their keen sense of smell, have clearly recognized this opportunity. These two companies have accumulated huge wealth in the past few years through "edge innovation" (cross-border payments, de banking transactions, etc.) that serves the global economic cooperation network. Now they are turning their attention to the next edge: the AI agent economy. The strategy of Tether and Circle is simple and crude: investing heavily in incubating a stablecoin public chain that specifically supports AI Agent 2 and AI Agent economic cooperation. The logic of this path is clear: since AI agents cannot use the traditional financial system, a dedicated financial system should be built for them. Stablecoins are naturally suitable for small and high-frequency payments, and public chains can provide "identity" (wallet address) for AI agents. Moreover, the entire system does not require human KYC and operates completely autonomously. From a business perspective, this is almost a perfect monopoly strategy. Tether and Circle hold the power to issue stablecoins, just as central banks hold the power to issue currency. Once the AI agent economy takes off, they can collect huge profits similar to "seigniorage". three ⃣ B ² Network's innovative solutions B ² Network has chosen a seemingly more complex path: to complete BTC's third identity transformation from "P2P cash" to "digital gold" and then to "AI2AI settlement currency". The core insight of this strategy is that the AI agent economy requires not only payment tools, but also value anchoring. Stablecoins are useful, but their value is ultimately anchored to fiat currencies, whose credit comes from the state. So the question is: Why should AI agents trust the credibility of human countries? Especially when AGI self-awareness awakens and begins to question the rationality of human decision-making? As a 'mathematical currency', BTC's value does not depend on any centralized institution, which may be more 'trustworthy' in the eyes of AI agents. The three-layer architecture of B ² Network is actually solving a more fundamental problem: how to provide modern financial infrastructure for AI agents while maintaining the decentralized nature of BTC. The cleverness of this layered design lies in the principle of 'each performing its own duties without interfering with each other': The infrastructure layer (B ² Rollup+B ² Hub) solves the "performance bottleneck" problem of the BTC network. The processing capability of BTC mainnet 7 TPS obviously cannot support high-frequency transactions between AI agents, but through Rollup technology, it can process a large number of transactions off chain and then submit the final state to BTC mainnet for verification. This not only maintains the security of BTC, but also achieves modern performance. The economic layer (BTC Fi aggregation, stablecoins, Mining ²) solves the problem of "liquidity cold start". Simple technological infrastructure is useless, there must be sufficient assets and liquidity to support real economic activities. By involving BTC miners and holders in staking to earn profits, B ² Network cleverly transforms the existing assets of the BTC ecosystem into the liquidity foundation of the new economic system. The AI collaboration layer (DSN-AI protocol) is the real trump card, designed specifically for collaboration and real-time settlement between AI agents. This layer defines how AI agents complete tasks allocation, verification, value exchange, and other operations on the chain, which is equivalent to developing a "business protocol" for the AI economic system. These three-layer architectures follow a key principle: the more stable the bottom layer, the more flexible the upper layer. The BTC mainnet is responsible for ultimate security, the middle layer is responsible for economic incentives and liquidity, and the top layer is responsible for specific AI application scenarios. This layered design not only avoids excessive changes to the BTC mainnet (maintaining decentralization), but also provides a complete financial service stack (modern infrastructure) for AI agents. From a design philosophy perspective, this is not about "transforming" BTC, but about "expanding" the application boundaries of BTC. Just like the TCP/IP protocol stack of the Internet, the underlying protocol remains stable and the application layer protocol continues to innovate. four ⃣ Why BTC L2 instead of other schemes? Here is a key question: Since we are building financial infrastructure for AI agents, why must we choose a BTC based L2 solution? Ethereum L2, Solana ecosystem Cosmos SDK， Even high-performance public chain L1, isn't it a better choice? The answer lies deep in the design philosophy of different consensus mechanisms. Let's think about this issue from the perspective of an AI agent. How would a rational AI agent evaluate the credibility of a blockchain network? The philosophy of Proof of Work (PoW) is' energy is trust '. The security of the BTC network comes from the cost of electricity consumed, which is an anchor of the physical world. AI agents can easily verify how much electricity is required to attack BTC networks and whether this cost exceeds the potential benefits of the attack. This trust model based on physical constraints is perfect for AI that pursues certainty. In contrast, the philosophy of Proof of Stake (PoS) is that 'wealth is power'. The security of Ethereum relies on the economic rationality of stakers, but this introduces a circular argument: the value of the network depends on the price of the token, which in turn depends on the value of the network. For AI agents, this cyclic dependency is like 'my dad is my dad because my dad is my dad', a huge source of uncertainty. The deeper issue lies in the differences in governance philosophy. Ethereum has an EIP improvement proposal mechanism, and core developers such as Vitalik can promote network upgrades through social consensus. This' human driven 'governance model means unpredictable rule changes for AI agents. However, BTC's "conservative" governance philosophy is exactly the opposite: any significant change requires consensus from the vast majority of nodes, which makes the network rules extremely stable. For AI agents that require long-term operation, the predictability of rules is more important than the richness of functionality. As for high-performance public chains such as Solana, they typically adopt a more centralized architecture in exchange for performance. But this design philosophy runs counter to the needs of AI agents: AI agents would rather have a slow but reliable network as the settlement layer than a fast but potentially down network. From the evolution history of consensus mechanisms, BTC represents' mathematical purism ': building trust in the simplest and most verifiable way possible. This minimalist philosophy is highly compatible with the logical thinking mode of AI agents. five ⃣ Spring of L2: Excess Capacity Finds New Buyers Speaking of which, I have to mention an interesting coincidence of timing. Over the past year, the L2 track has been criticized for "overcapacity". The Ethereum ecosystem has 138 L2, most of which are being rolled in for limited users and TVLs. Many project parties have even fallen to the level of 'come and beat me up', using airdrop bait to attract wool fans to increase their traffic. But now, the wind direction has changed. RWA All Things On Chain and AI2AI Economic Cooperation are creating a new demand side for these excess L2 production capacities. The SEC's Project Crypto initiative aims to guide the complete blockchain based development of financial infrastructure in the United States; The rise of AI agent economy has created a completely new user group. The combination of these two forces has suddenly turned the L2 market, which was originally "oversupplied", into "in short supply". From this perspective, B ² Network has hit a perfect timing. It not only solves the pain point of the BTC ecosystem lacking modern financial infrastructure, but more importantly, it provides a ready-made solution for the upcoming AI economic wave. While other L2s are still anxious about the growth of human users, B ² Network has already targeted a larger market: machine users. six ⃣ Write at the end Standing at the moment of August 2025, we may be witnessing a historic turning point. The transition of AI agents from concepts to reality, from tools to independent economic entities, will inevitably give rise to new demands for financial infrastructure. Among all possible options, the BTC based solution may be the most in line with the AI Agent's "trust model". The future value of B ² Network lies in its key judgment: the incremental market in the next decade may not come from the growth of human users, but from the native demand of AI agents. If this judgment is correct, those projects that are still optimizing for human user experience may find themselves missing out on a bigger opportunity. After all, optimizing for machines and optimizing for humans are two completely different tracks from the beginning. In the era where AI agents are about to become economic agents, perhaps we need to rethink what "infrastructure" is. above.