Ant Group: How to Get 10,000 Employees to Love AI (and Make Money From It)
Ant Group CEO Han Xinyi has announced the launch of "AI Credit," an incentive mechanism for teams that embed AI in core business processes. If a project takes off within the next two years, the bonuses will convert into SERs (rights to economic benefit). For the company, this is not mere generosity but an attempt to turn a conservative fintech into a flexible, AI-driven organization. The main focus is on AGI and healthcare. Chinese giants understand the choice: either you put neural networks into everything, from tech support to risk assessment, or you stay in the previous decade.
AI-processed from 36Kr (36氪); edited by Hamidun News
While Western tech giants argue about AI safety, the Chinese fintech giant Ant Group has decided it is time to move from words to action and, more importantly, to money. CEO Han Xinyi sent employees a letter that can be read as a manifesto for a new era. The "AI Credit" program is not a one-off holiday bonus but an attempt to rebuild the DNA of a huge corporation through a direct financial lever. At a time when every second startup calls itself "AI-first," Ant Group wants to test how quickly a company with multibillion-dollar revenues can change course on the fly.
Let's be honest: corporate "transformation" usually smells of boring training sessions and endless meetings that only distract from work. But Ant Group is playing its strongest card. It is introducing a system of special points that in two years will turn into real assets: SERs, or rights to receive economic benefit. The condition is simple: your AI project must not merely exist in a vacuum, but deliver real value to the business or win recognition in the market. If the company's value grows over two years thanks to your algorithms, you become a co-owner of that success. If not, your "credits" will remain a useless line in a database.
The move looks like a logical continuation of a prolonged pause in the company's development. After Chinese regulators derailed Ant Group's IPO several years ago, the fintech giant had to spend a long time searching for its new self. Amid fierce competition with Tencent and ByteDance, simply being a convenient "wallet in a smartphone" is no longer enough. Han Xinyi states plainly that the goal is the "full AI-ization" of the business and the organization. That means neural networks must reach every capillary of the structure, from credit scoring to personnel management and legal support.
The letter pays particular attention to AGI (artificial general intelligence) and its application in healthcare. That sounds ambitious, given that Ant Group has always been associated first and foremost with payments and loans. But on reflection, it has access to enormous volumes of data on the behavior of hundreds of millions of users. Linking financial behavior with medical services and making it all run under AI control is the "strategic lever for the next ten years" that management talks about. Healthcare in China is a huge market that has long awaited a digital shake-up.
What is interesting here is how Ant Group is trying to solve the problem of "lazy corporate AI." In large companies, innovation usually drowns in bureaucracy and fear of mistakes. By creating the "AI Credit" system, management is effectively launching an internal venture fund. Teams inside Ant Group will now compete for resources and future payouts as if they were independent Silicon Valley startups. It is a harsh but effective way to separate those who just add a fashionable word to a presentation title from those who actually change the product.
The Chinese market is currently feverish: everyone is building their own "large models," but few understand how to make money from them right now. Ant Group is betting that employees' personal financial motivation is the best way to answer that question. If the experiment works, we will see the birth of a completely new type of organization, in which every developer has a direct stake in the growth of the market value of their algorithms. Only one question remains: does the company have the patience to wait two years for these seeds to yield their first shoots in the form of real profit?
Bottom line: Will "AI Credit" become the gold standard of motivation in the industry, or turn into yet another unachievable KPI trap for employees?
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