The AI Monetization Logic Behind a Credit Card: Banks Becoming 'Super Distribution Channels' for AI Companies

I noticed an interesting detail: Bank of China's upcoming Great Wall BOC-AI credit card doesn't offer simple "cashback on spending" or "points for gifts," but directly includes monthly memberships and Token benefits from AI products like Zhipu Qingyan, MiniMax, Alibaba Qoder, and Tencent WorkBuddy as core perks. This move is much deeper than it appears on the surface.

From an investor's perspective, the essence of this is: banks are becoming "super distribution channels" for AI companies, and AI products are becoming "new customer acquisition hooks" for bank credit cards. In the past, credit card perks were Starbucks vouchers, movie tickets, airport lounges; now they've become AI Tokens. This isn't just a replacement of perk content, but marks the opening of a key distribution node in the AI-to-C market.

The real value of Token benefits lies not in "giving," but in "using"

Let's do the math first. The Token costs for large model products like Zhipu Qingyan and MiniMax are dropping rapidly due to intensifying competition. Take Zhipu as an example; its API prices have dropped by over 90% in the past year. This means the marginal cost for banks to procure Token benefits is actually very low, but the perceived value for users is high—monthly cards or Token quotas might be worth tens of yuan in users' psychological accounts. This "low cost, high perception" perk design is carefully calculated by banks.

Looking deeper, the biggest value of Token benefits is "activating user AI usage." Many users have heard of AI large models but have never actually used them. The credit card spending threshold gives users a reason to "have to try." Once users bind AI products and start using them, subsequent retention and conversion enter the AI company's own funnel. Banks essentially use credit card spending scenarios to provide the first precise user education for AI companies.

Why banks? What irreplaceable barriers do banks have?

Many people ask why AI companies don't acquire customers directly and instead go through banks. The reason is simple: banks hold China's highest-quality affluent population, and these are "paying users" verified by consumption behavior. Credit card users' spending power, credit records, and APP open frequency are all precise profiles that AI companies dream of. More importantly, the bank's touchpoint scenario is "instant post-consumption incentive"—after swiping the card, users receive a notification saying "You've met the criteria, claim your AI Tokens." The conversion rate in this strongly associated scenario far exceeds feed ads.

Conversely, banks also need AI perks to cope with the "involution" in the credit card industry. Traditional credit card perks suffer from severe homogenization, and young users experience diminishing marginal utility from Starbucks and movie tickets. AI Tokens, as emerging tech products, naturally carry labels of "tech feel" and "future feel," helping banks shape a younger brand image. Moreover, the redemption cost of Token benefits is extremely low—whether users actually use them after claiming is not something banks need to pay extra for; it's a "pay-as-you-go" model.

Where are the competitive barriers? The key lies in "ecosystem binding"

Currently, partners involved in this card include Zhipu, MiniMax, Alibaba, and Tencent, covering almost all domestic first-tier large model players. But competitive barriers aren't built by "casting a wide net," but by "long-term binding." Which AI company will banks choose as exclusive or deep partners? It depends on whether the AI company can provide continuously iterated quality products, stable API services, and joint user operation capabilities.

From an investment perspective, I tend to favor AI companies that can provide "full-chain services." For example, not just giving Tokens, but offering customized AI assistants, scenario-based AI tools (like shopping price comparison, bill analysis, financial advice), truly embedding AI into credit card spending scenarios. If it's just giving a one-month membership and users leave after using it up, the cooperation is a one-off transaction. If they can achieve "using AI to help users save money," that's the real moat.

My judgment: This is a pilot capable of changing the AI-to-C customer acquisition landscape

Bank credit card volumes often reach tens of millions of users. If the Great Wall BOC-AI credit card model works, ICBC and China Merchants Bank will almost certainly follow suit. At that time, AI companies will welcome a wave of "bank-fed" user growth. But challenges exist too:

First, user habits. The threshold for claiming Token benefits is "meeting monthly spending criteria," meaning only high-frequency consumers can continuously obtain them. If users deliberately spend just to get Tokens, it might cause side effects. Second, AI product retention itself. If users claim Tokens but find them unusable or don't know how to use them, churn rates will be high later. Banks can help AI companies acquire new users, but cannot help them retain them.

Actionable advice for readers: If you are an AI entrepreneur, you should contact bank credit card departments now and design a "Spending + AI" joint perk scheme. This isn't just advertising cooperation, but deep product-level binding. If you are an investor in large model companies, focus on teams that have established distribution partnerships with banks, telecom operators, and large retail enterprises—this "channel capability" is a stronger barrier than mere model parameters.

Finally, I noticed the news mentioned "Alibaba Qoder" and "Tencent WorkBuddy"—both vertical AI products targeting programmers and enterprise office work. Bank credit cards covering both C-end and B-end perks simultaneously is a clever idea. In the future, we may see more niche scenario AI perks, like Midjourney-type products for designers, or quantitative analysis tools for investors. Banks are becoming the "app stores" of the AI era.

The details in this image are worth pondering: The credit card design directly prints "AI," indicating banks are trying to solidify AI as a brand label. If this model succeeds, the credit card perk system will be reconstructed in the future, and AI companies will become one of the most important partners in the banking ecosystem. Note that credit card perk costs usually account for 1%-2% of transaction volume. If a portion of this ratio flows to the AI ecosystem, it represents a market worth hundreds of billions annually.

Original link: https://www.ithome.com/0/979/690.htm