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Ant Group Tests AI Version of Alipay, AI Takes Over Ordering: 2026 AI Applications Are Reshaping Service Scenarios

Ant Group Tests AI Version of Alipay, AI Takes Over Ordering: 2026 AI Applications Are Reshaping Service Scenarios

Published: 2026-06-14 21:12   Source: 向明科技

Ant AI Version of Alipay in Beta Testing, AI Takes Over Food Ordering: 2026 AI Applications Are Reshaping Service Scenarios

Xiangming Technology · June 14, 2026

In June 2026, two seemingly unrelated news stories appeared at the same time: Ant Group is secretly testing an AI version of Alipay, reconstructing the interaction method of mobile payments through AI Agents; on the other side, American fast-food chains have begun large-scale deployment of AI food-ordering robots, with customers directly conversing with Chatbots to complete orders. These two things point to the same trend—AI is moving from "underlying technology" to "consumers' daily service scenarios."

Ant AI Version of Alipay: An AI Experiment for a Super APP

According to industry insiders, Ant Group is beta testing a brand-new version of Alipay integrated with AI Agents. Users can complete complex operations such as transfers, bill payments, and wealth management inquiries through natural language, and the AI Agent autonomously calls multiple service modules in the background to complete instructions.

This development has far-reaching implications for the mobile internet industry: if super APPs successfully achieve AI-based interaction, the traditional APP development logic will undergo fundamental changes. In the past, when companies made a mini program or APP, the core was designing menu structures and interaction flows; in the AI-native era, the user interaction interface may be simplified into a dialog box, with the system automatically understanding intent and scheduling services. This places new demands on the software development industry—developers need to shift from "making interfaces" to "doing intent recognition and task orchestration."

AI Food-Ordering Robots Move from Novelty to Large-Scale Deployment

The Verge reported that the North American fast-food industry is undergoing an AI food-ordering revolution. Multiple chain brands have deployed AI dialogue systems at Drive-thru (drive-through restaurants), allowing customers to directly complete the entire process from ordering to payment with AI. Data shows that the accuracy rate of AI food ordering has exceeded 95%, and the average ordering time is 18% faster than manual ordering.

It is worth noting that behind this AI system is a typical AI Agent architecture: speech recognition → intent understanding → menu matching → order generation → payment integration, with each step completed collaboratively by different AI modules. This multi-Agent collaboration model is being adopted by more and more industries.

WeChat Mini Program Ecosystem Embraces AI Capabilities

At the same time, the WeChat mini program ecosystem is fully opening up to AI. In 2026, the WeChat Open Platform provides third-party developers with richer AI interface capabilities, from embedded AI customer service, intelligent recommendations, to natural language search in mini programs. WeChat developers and mini program developers in the WeChat ecosystem are taking the lead in embracing AI-native capabilities.

This change lowers the threshold for small and medium-sized enterprises to use AI. A small e-commerce merchant does not need to build its own AI system. By integrating existing AI interfaces through WeChat development, it can implement functions such as intelligent product selection and intelligent customer service in its own mini program.

IoT and AIoT: The Physical Tentacles of AI Agents

The value of AI Agents is not limited to the digital world. As the IoT and AIoT markets exceed a trillion in scale in 2026, AI Agents are entering the physical world through smart devices. From AI access control and security systems in smart community solutions to AI quality inspection robots in factories, the combination of AI Agents and the Internet of Things is reshaping multiple vertical industries.

SaaS Shakeout: AI-Native Applications Redefine Software

The SaaS industry is undergoing a deep shakeout. If traditional SaaS products cannot complete AI transformation within one year, they will face the risk of being marginalized. Cross-border e-commerce SaaS tools have already taken the lead in completing AI upgrades—AI product selection, intelligent customer service, and automated marketing have become standard features.

For Shenzhen IT companies and software development enterprises, this is a clear signal: customers are no longer satisfied with "writing code according to requirements," but instead hope suppliers can provide "AI + industry solutions." From management system development to e-commerce platform development, from traditional enterprise software to AI-native applications, the service model of the software development industry is being redefined.

From Ant AI Version of Alipay to AI food-ordering robots, from the opening of the WeChat AI ecosystem to the explosive growth of the IoT AIoT market, AI applications in 2026 are undergoing a critical stage from quantitative change to qualitative change. Enterprise digital transformation has entered the AI-native era, and the earlier enterprises embrace this trend, the more they can take the initiative in the next round of competition.

Xiangming Technology is committed to helping various enterprises achieve digital transformation in the AI era, providing complete technical solutions from software development, WeChat development, mini program development to APP development, helping enterprises quickly build AI-native application capabilities.

Article source: Xiangming Technology | xiangmingit.com

Keywords: software development, WeChat development, mini program development, APP development, Internet of Things, AI Agent, enterprise digital transformation, Shenzhen software development

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