On September 21, 2026, Ant Group executed a significant structural shift, merging its Digital Payment, Alipay, and Zhima Credit business units into a single, unified Alipay Business Group. This move, which reduces the company’s tier-one business groups from five to four, is more than a mere administrative reshuffle. It represents a strategic attempt to align the company’s core infrastructure with the requirements of agentic commerce—a field where the gap between industry hype and operational reality has become increasingly difficult to ignore.
The appointment of Wu Minzhi as president of this consolidated entity, while she retains her role as Chief People Officer, suggests that Ant is prioritizing internal integration and organizational agility. By collapsing these silos, the company is attempting to create a cohesive environment where payment rails, credit scoring, and digital services can be accessed seamlessly by AI agents. This is a necessary, if overdue, step for a firm that has spent the last two years navigating the complexities of a post-split organizational structure.
Despite the organizational streamlining, the tone from the top remains remarkably tempered. CEO Cyril Han Xinyi recently offered a candid assessment of the sector, noting that while agentic commerce is theoretically entering a phase of explosive growth, the actual rollout has been notably slower than anticipated. Han acknowledged that last year’s industry forecasts were overly optimistic, a rare admission in a sector often defined by aggressive growth projections.
The core issue, according to Han, is that the supply and demand sides of the agentic ecosystem have yet to form a positive feedback loop. For an AI agent to function as a true commercial actor, it requires more than just access to a payment gateway; it requires a reliable, secure, and standardized environment. Currently, the ecosystem is fragmented, with multiple competing protocols—such as the Agentic Commerce Protocol (ACP), Universal Commerce Protocol (UCP), Agent Payments Protocol (AP2), Model Context Protocol (MCP), Visa Trusted Agent Protocol (TAP), and Ant’s Agentic Mobile Protocol (AMP)—being negotiated in real time. This lack of standardization creates friction that prevents the scaling of agent-to-agent or agent-to-merchant transactions.
Trust remains the primary bottleneck. As identified by Juniper Research, trust is the number one barrier to the deployment of agentic commerce. Without robust security mechanisms, neither consumers nor merchants are willing to grant AI agents the autonomy required to execute financial transactions. Ant Group is attempting to address this through its own technical stack, including the launch of the Agentic Commerce Trust (ACT) protocol, the AI Wallet, and Token Pay for AI model providers.
The company’s product roadmap reflects this focus on infrastructure. Since May 2026, Ant has rolled out a series of tools designed to bridge the gap between AI models and financial services. The Ah Bao AI assistant, launched in June 2026, has already undergone an AI transformation of over 10,000 services. Its reach is significant, spanning five major smartphone brands and 16 automakers, supported by partnerships with over 20 companies including Qianwen, OPPO, Huawei, BYD, and Geely. This full-stack platform, unveiled at the Alipay partner conference in Hangzhou in August 2026, is clearly intended to position Ant as the foundational layer for agentic commerce.
However, the existence of these tools does not guarantee market adoption. The challenge for Ant is to move beyond the pilot phase and into a state where these services are interoperable with the broader, fragmented ecosystem. The ACT protocol is a direct attempt to set a standard, but it faces stiff competition from other industry-led initiatives. The success of Ant’s strategy will depend on whether it can convince partners that its protocol is the most secure and efficient path forward, rather than just another proprietary silo.
The broader context of Ant’s performance provides some perspective on its capacity to execute. Ant International’s cross-border payment volume grew approximately 25% in 2025, reaching over $350 billion. This demonstrates that the company retains a strong, functional core that can generate the capital and data necessary to fund its AI ambitions. Yet, the transition from a payment processor to an agentic commerce orchestrator is a different order of magnitude.
The market for agentic commerce is projected to reach approximately $28 billion by 2030, representing a 46% compound annual growth rate. While these numbers are impressive, they are contingent on the industry solving the very problems Han identified: the lack of a positive feedback loop and the absence of unified trust mechanisms. If the industry remains stuck in a cycle of competing protocols and security concerns, that growth will likely remain theoretical.
Ant Group’s restructuring is a recognition that the era of experimental, siloed AI development is ending. To capture the potential of agentic commerce, the company must now act as a platform provider that can coordinate across devices, models, and merchants. The consolidation of its business units is a structural acknowledgment that the future of payments is not just about moving money, but about enabling autonomous agents to navigate a complex, trust-based digital economy.
Ultimately, the success of this pivot will not be measured by the number of partnerships signed or the sophistication of the Ah Bao assistant. It will be measured by the company’s ability to foster a stable, secure, and interoperable environment that allows agents to operate with the same level of trust that human users currently demand. Until that happens, the gap between the promise of agentic commerce and its reality will continue to define the industry’s trajectory.