After the terminal, Wind is rebuilding financial workflows.
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Author | Huang Yu
If the past 30 years have seen Wind labeled as an institutional-level financial data terminal, then in the AI era, its identity is changing and it seeks to expand into more consumer markets.
Recently, Wind Information’s Chief Strategy Officer Ge Zhengqi explained in detail Wind’s exploration of AI products in conversations with Wallstreetcn and other media.
She stated that the AI era will certainly bring a transformation of product forms, but this transformation is diverse, and every company is still in the exploration stage. Therefore, Wind is also very open in its exploration, using different products to meet different customer needs.
We can see that Wind is actively deploying various AI entry points. In the past few months, from the launch of Wind AI, an AI-native product for individuals, to integration with WeChat, to building a financial capability open platform for AI Agents called AIFin Market, and launching AB1 and WindClaw aimed at young investors, Wind has made successive moves.
The core of this chess game is not a single product, but the "equalization" and "reconstruction" of financial industry capabilities.
Equalizing institutional capabilities for individuals
In March 2026, Wind officially released its financial AI product for individual users—Wind AI (Wind Alice). This is the first time that Wind has made its financial AI capabilities, previously mainly serving institutional clients, available to a wider range of professional individual financial users.
Why does a financial data giant that has served institutional clients for over 30 years turn to the consumer side?
Ge Zhengqi denied that this was a "sudden C-end strategy," saying it was the result of adapting to changes in technology, products, and customer needs.
She explained that alongside the development of the AI industry in recent years, there’s been a significant trend in financial—AI has brought about "equalization," spreading the information, capability, and time efficiency advantages, previously held only by institutions, to a broader population.
We can see that in recent years, more and more financial institutions are exploring AI applications. However, to truly create a competitive advantage in the AI era, it's clearly not as simple as adding a chatbot into a terminal.
Ge Zhengqi pointed out that AI will impact individuals and organizations in the financial industry. Wind’s goal is to create a product that the financial industry feels is "very smart and convenient, using methods of today or tomorrow's AI."
Wind AI is not just a simple conversational chat tool; it can undertake and execute multiple financial work tasks, becoming an AI financial work operating system.
On Wind AI, users can use natural language commands to complete industry and stock analysis, comparable company analysis, index construction, asset strategy and backtesting, company investment value analysis, valuation modeling, in-depth research topics, and other complex tasks.
Additionally, the Wind AI platform has a "Skill Square," allowing users to call standardized workflows for different financial roles, achieving automated task processing, and also supports the creation of your own skills. Wind AI can also generate editable PPT presentations, Excel sheets, and other research documents with authoritative data sources, assisting users in reporting and decision-making.
To gain more consumer traffic, Wind AI has also leveraged Tencent Cloud Claw pro, the AI Agent Security Center, and other technical foundations to connect with WeChat ClawBot, allowing users to directly use Wind AI via WeChat.
Regarding the reason for choosing WeChat, Ge Zhengqi said, WeChat serves almost everyone in China, and many financial tasks happen outside the office—it may be making a call with a client or seeing news accidentally; the user's first reaction isn't to open a terminal but to send a request on WeChat.
Based on this, Wind AI can work 24/7 in the background and deliver results via the WeChat front end.
Becoming the capability base for all Agents
"Wind’s founder and chairman Lu Feng is the No. 1 leader driving the company's AI development; the entire company is highly determined to pursue AI transformation," said Ge Zhengqi.
Currently, Wind has formed an AI product system covering different users and scenarios.
Aside from launching Wind AI for individuals, Wind’s core Financial Terminal has undergone AI upgrades, with its self-developed large model Wind Alice deeply embedded. Wind has also released AB1 for young stock investors, WindClaw for financial AI geeks, and AIFin Market for AI Agent financial data calling services.
Ge Zhengqi defines them as layered services based on user groups, all driven by Wind Alice’s underlying capabilities. The consumer side is a natural extension for Wind.
"In the future, we will serve not only people, but also AI itself," Ge Zhengqi said. More institutions will build their own Agents, and more individuals will use various AI assistants. These Agents all need to call professional financial data and tools, which is the reason for the birth of AIFin Market.
This positioning means that Wind will provide not just data in future, but financial capability itself.
Compared to generic large models answering financial questions directly, Wind hopes to package the data, financial tools, research methods, and industry knowledge it has accumulated over the past 30 years into capabilities that Agents can directly call.
It is reported that Wind will also settle user and usage scenarios based on Skill forms and enter Tencent’s SkillHub; at the same time, it will promote the entry and content upload of IMA Knowledge accounts, which can later serve as Wind financial content, capability entry, and Skill display.
Additionally, Tencent and Wind are evaluating bringing Wind Alice capabilities into the Tencent Workbuddy ecosystem.
For capabilities available to third-party Agents, Ge Zhengqi said that openness is maximized within compliance limits.
AI exploration in the financial industry is still in its early stages, so it is difficult to judge how product forms will evolve.
As for whether Agent applications will replace financial terminals entirely, Ge Zhengqi believes that interaction between users and products may become simpler, but this does not mean that terminal products don’t need to exist—they have their own client base. The stickiness and activity of terminal users have also increased significantly with the support of Wind Alice’s capabilities.
Regarding the current AI product business model, Ge Zhengqi revealed that all entry points are connected to Wind's points system, essentially similar to consuming tokens. Regardless of the entry point used for Wind’s AI capabilities, the consumption during task completion is calculated uniformly.
Compared to other industries, finance has always been one of the industries with the highest AI implementation threshold.
Jia Fei, Deputy General Manager of Tencent Financial Cloud, told Wallstreetcn that the first challenge facing AI transformation in the financial industry is computing power,
because many compliance security requirements and privacy-sensitive data require independent accounting and localization. Whether computing power is sufficient to support AI transformation is a very big challenge.
"We’re also communicating with the financial industry about whether to differentiate AI applications in different domains—for example, those related to investing and research that don’t involve sensitive client data might use public cloud."
The second challenge is building Agent infrastructure, as tech iteration is too rapid. Many financial firms need to think about how to quickly embrace AI while addressing security concerns. The third challenge is data; how enterprises can settle their own enterprise intelligence.
In any case, the AI trend in finance is unstoppable, and everyone must participate.
Risk Warning and Disclaimer ClauseThe market has risks, investment requires caution. This article does not constitute personal investment advice, nor does it consider the special investment objectives, financial situation or needs of individual users. Users should consider whether any opinion, viewpoint or conclusion in this article fits their specific circumstances. Investment based on this article is at your own risk. ```