--- title: "A $50 Billion Opportunity: AI Agent Wallets – A High-Stakes Gamble" type: "News" locale: "en" url: "https://longbridge.com/en/news/293811181.md" description: "Over ten companies, including Coinbase and Binance, are building custom AI agent wallets to capture a projected $50 billion market. Traditional payment networks cannot handle the high volume of micro-payments generated by autonomous AI agents. These new programmable wallets enable machine-to-machine transactions, allowing firms to secure future user bases and unlock lending opportunities based on agent transaction history, despite current legal and operational uncertainties." datetime: "2026-07-25T03:39:50.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/293811181.md) - [en](https://longbridge.com/en/news/293811181.md) - [zh-HK](https://longbridge.com/zh-HK/news/293811181.md) --- # A $50 Billion Opportunity: AI Agent Wallets – A High-Stakes Gamble Source: Tiger Research; Compiled by: BitpushNews Headline news continues to report on AI agents (artificial intelligence agents) autonomously conducting transactions and processing payments. However, the crypto wallet industry has already been paving the way for this in secret. Currently, more than ten companies are building custom wallets specifically for AI agents. What are they pursuing? And what are the potential ultimate returns? ## Key Takeaways - When AI agents browse the internet and purchase goods or information on behalf of humans, they will ultimately generate thousands of micro-payments, each worth only a few cents. Existing card payment networks (Card Rails) cannot support such small transaction volumes, making wallets capable of automatically splitting and sending funds based on preset conditions crucial. Despite the current lack of short-term profitability, companies like Coinbase and Binance are actively building AI wallet infrastructure. This allows them to lock in future customers before AI agents begin large-scale transactions. The core focus at this stage is building a user base before actual demand explodes. Calculations based on Coinbase data show that increased AI agent usage could potentially generate up to seven times the current revenue. The payment records accumulated in the wallet can demonstrate the profitability of the AI ​​agent, opening the door to lending based on future earnings—similar to providing credit loans to small businesses based on their credit card sales history. This is still in the "possibility" rather than "proof" stage. AI agents are still prone to operational errors and executing incorrect payments, and relevant rules vary by country and company; the legal status of AI agents is also unclear. Therefore, the current competition is not about capturing immediate revenue, but about securing a favorable position years in advance in a large market that is expected to emerge. ## 1\. The Spread of AI Agents Earlier this year, an experiment on the prediction market Polymarket that sparked widespread discussion provided an AI agent with $50 in seed funding and allowed it to trade autonomously. The experiment was set on the condition that if it could not cover its API and server costs through autonomous profitability, it would cease to exist. The agent subsequently successfully completed transactions, and since then, a series of other agents have begun to trade in a similar manner. ## While AI agents are not yet fully integrated into daily life, there is no doubt that they will be widely used in the near future. 2. Every transaction by an agent begins in a wallet. AI agents have not yet entered the realm of everyday payments. Their most active application currently is in cryptocurrency trading bots operating within the crypto ecosystem. These bots operate independently of traditional payment networks, focusing solely on cryptocurrency transactions. However, in the future, payments will expand into areas unimaginable today. As discussed in previous reports, AI is changing the very nature of payments. Once agents (rather than humans) interact and navigate directly on the network, the amount of a single payment will drastically decrease. The cost of an API call or a single data query can be as low as $0.001, and in extreme cases, even as low as $0.00001. To transcend current wallet usage scenarios and automatically split and send such small payments based on preset conditions without human intervention, a programmable payment system is needed. This is the background for the x402 payment network, with the wallet as the foundation for its operation. However, existing payment networks are designed with "people" as the transaction subjects. Credit cards are issued to individual cardholders and operate on a "chargeback" structure—that is, when a transaction encounters a problem, a human initiates a dispute and cancels the transaction, and each transaction incurs a fixed fee of several cents. When someone makes an occasional $20 purchase, this is perfectly fine; but once agents start sending payments at a rate of thousands per second—even if each API call costs only $0.001 or each data record only $0.00001—this payment model becomes economically unworkable. The core question is: is money itself "programmable"? Bank cards can automatically input payment information, but they cannot be programmed to split, stream, or instantly settle funds based on specific conditions. This capability is defaulted to the networks on which wallets operate. Storing payment details on cards, at best, only allows transactions to be executed on a human scale. Once the economic model transforms into direct machine-to-machine transactions, wallets become the only viable starting point. 3. Agents are a $50 billion business. As shown in the image above, wallet providers are incredibly diverse, encompassing everything from exchanges to stablecoin issuers. So why are such a diverse range of players rushing into the Agent wallet infrastructure space, which currently lacks clear short-term profitability? The answer lies in the fact that these companies are laying the groundwork for future revenue and business, not for today. Embedding Agent functionality into wallets is not a move that will generate immediate revenue. It builds an underlying capacity to absorb these transaction volumes when the Agent begins generating large-scale activity. The key is that the AI ​​Agent will ultimately operate 24/7 in a browserless environment without human intervention. Imagine a user asking the Agent to produce a research report. As the Agent collects information, it executes a micro-payment each time it retrieves data from different payment platforms. A simple user command could trigger 20 to 30 or even more payments in an instant. A seemingly simple and straightforward operation, once processed by the AI ​​Agent, transforms into an extremely large volume of payment transactions. How this change in the payment environment will affect the company's profitability can be estimated using publicly available data from Coinbase. This calculation uses Coinbase's 9.2 million monthly transaction users (MTU) as a base, rather than its total registered user base of approximately 120 million. ... Combining three variables—adoption rate, number of agents per user, and daily call frequency—we can derive the following scenario predictions: Conservative Scenario (10% adoption rate, 1 agent per user, 50 calls per day): Approximately $84 million in new revenue annually, a growth of 1.2%. Neutral Scenario (50% adoption rate, 2 agents per user, 200 calls per day): Significantly increased revenue to approximately $3.36 billion, a growth of 46.8%. Aggressive Scenario (100% adoption rate, 3 agents per user, 1000 calls per day): Annual revenue reaches approximately $50.37 billion, about 7 times Coinbase's current total revenue. What's particularly striking in this comparison is that the gap between these three scenarios widens geometrically rather than arithmetically. Adoption itself only increased tenfold (from 10% to 100%), but the resulting revenue gap expanded by approximately 600 times (from $84 million to $50.37 billion). Because the variables "adoption rate," "number of agents per user," and "daily calls" are multiplicative, a small increase in any one variable leads to an exponential increase in the total. Therefore, once agents achieve widespread adoption and user numbers surge, the resulting revenue stream could be as high as approximately seven times the current total revenue. This is why Coinbase is still heavily promoting its Agent wallet infrastructure, even without explicit revenue today. This is to secure its market share when the era of AI Agent-driven growth arrives. 4. Towards Neobanking (Agent-Based Banking) The transaction data accumulated through wallet infrastructure is more than just simple records. It lays the foundation for entirely new business models—because the payment history stored in wallets can serve as a credit assessment standard, demonstrating the financial condition and performance of AI agents. Once this data-driven credit assessment system is established, wallet providers can naturally expand into next-generation financial services, such as revenue-based financing (RBF) specifically for agents. Stripe Capital is a prime example of successfully building a new financial business on top of existing payment data. When Stripe launched its lending service, Stripe Capital, in September 2019, it didn't rely on external credit bureaus or cumbersome loan documentation. It assessed loan eligibility and limits solely using real-time sales data from merchants flowing through its own payment network. Stripe's case demonstrates that a company can build high-value financial services on top of its existing data pipeline without establishing a separate sales network or undertaking additional marketing expansion. Agent wallet providers are likely to follow a similar expansion path. Continuously accumulating agent revenue data through wallets can provide a basis for funding operations through RBF (Revenue Base Payment) and allow them to transform into agent-focused financial platforms that profit from this. However, building this new business line depends on a prerequisite: the AI ​​Agent must transcend being a simple payment execution tool and evolve into an asset holder capable of generating its own revenue and earning enough real income to repay loans. 5. This growth is still unproven. The aforementioned 7x revenue growth predicted by Coinbase and the expansion into RBF are optimistic scenarios based on the assumption of "Agent payments becoming widespread." Establishing this system in the real economy still faces significant obstacles. First, there are still major questions regarding the actual purchase conversion rate and payment reliability of AI Agents. Agents can still make mistakes during autonomous order placement, resulting in erroneous payments due to "hallucination"; sometimes transactions are even directly blocked by the card issuer's anti-fraud system (FDS). Therefore, the current actual payment completion rate remains low. Furthermore, payment protocols such as x402, AP2, and MPP remain fragmented and have failed to be unified into a single standard. Meanwhile, for AI agents, which are not legal entities, the lack of clear KYC (Know Your Customer) and financial regulatory policies is another major obstacle to further market expansion. Therefore, wallet providers' current goal is not short-term transaction fee revenue. Apple's App Store took 15 years to build a $10 billion annual transaction fee market, and WeChat Pay took 7 years to build its massive mini-program ecosystem. Agent wallets are following a similar long-term timeline, focusing on building an ecosystem rather than competing for immediate short-term returns. The current competition is not about today's marginal revenue, but about who can gain first control over the data flow of funds in the fully formed intelligent agent economy five to ten years from now. ### Related Stocks - [COIN.US](https://longbridge.com/en/quote/COIN.US.md) - [COIW.US](https://longbridge.com/en/quote/COIW.US.md) - [COIG.US](https://longbridge.com/en/quote/COIG.US.md) - [CONY.US](https://longbridge.com/en/quote/CONY.US.md) - [CONL.US](https://longbridge.com/en/quote/CONL.US.md) - [CONI.US](https://longbridge.com/en/quote/CONI.US.md) - [FIAT.US](https://longbridge.com/en/quote/FIAT.US.md) - [COIA.US](https://longbridge.com/en/quote/COIA.US.md) - [COIO.US](https://longbridge.com/en/quote/COIO.US.md) - [CONX.US](https://longbridge.com/en/quote/CONX.US.md) - [COYY.US](https://longbridge.com/en/quote/COYY.US.md) - [ICOI.US](https://longbridge.com/en/quote/ICOI.US.md) - [07711.HK](https://longbridge.com/en/quote/07711.HK.md) - [09311.HK](https://longbridge.com/en/quote/09311.HK.md) ## Related News & Research - [Coinbase launches three new updates for agentic AI](https://longbridge.com/en/news/293653911.md) - [Roundtable’s AI/DeFi Platform Unveiled to London Press, Media Executives to Help Restore Classic Journalism | RTB Stock News](https://longbridge.com/en/news/293523037.md) - [RTB Digital’s Roundtable partners with Mario Nawfal on AI/DeFi media platform](https://longbridge.com/en/news/293522746.md) - [SEC reaches settlement with Coinbase over records requests from Gensler era](https://longbridge.com/en/news/293501873.md) - [Circle Drops 75% as Analyst Sees 18% More Downside](https://longbridge.com/en/news/293239986.md)