Huawei Pushes Banking Into the Agentic AI Era

At its annual Intelligent Finance Summit (HiFS) in Shanghai, Huawei unveiled an ambitious new vision for the future of banking, one where AI agents become deeply embedded across every layer of financial services.

Held at Huawei’s Lianqui Lake Campus on May 20-21, the 14th edition of the summit gathered financial institutions, ecosystem partners, and technology leaders from around the world under the theme: “Beyond Digital, Advance to Agentic Banking.”

The message from Huawei was clear: the next transformation in banking will not simply be digital. It will be autonomous.

From Digital Banking to Agentic Banking

For years, financial institutions have focused on digitization, cloud migration, and mobile-first experiences. Huawei now believes the industry is entering an entirely new phase driven by production-grade artificial intelligence.

At the center of the company’s announcements was a newly upgraded hybrid AI architecture powered by open-source foundation models. The framework is designed to help banks deploy AI safely across high-value operational and customer-facing use cases while balancing compliance, security, and cost management requirements.

Huawei says the architecture enables a major shift away from traditional graphical user interfaces toward language-driven interfaces that understand customer intent, memory, and context. The goal is hyper-personalized financial experiences where AI can proactively support both consumers and employees.

According to Huawei Digital Finance BU CEO Jason Cao, AI is rapidly evolving beyond its role as a simple productivity tool.

“We are almost at the singularity where AI becomes a productive producer,” Cao said during the summit keynote.

That evolution, he explained, opens the door to an “agentic banking” model where every customer could interact with a personalized digital financial steward while employees operate alongside intelligent AI avatars capable of orchestrating tasks autonomously.

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Building the Data Foundation for AI Finance

To support that vision, Huawei introduced its upgraded Financial Data Intelligence Solution 6.0 alongside a new framework called R.A.C.E.

The framework focuses on four pillars:

• Real-time processing

• All-domain data integration

• Converged platforms

• Experience-driven automation

Huawei claims the model can improve efficiency in risk case analysis by up to ten times.

The upgraded platform also includes an AI-ready data lake capable of handling multimodal and unstructured data such as documents, images, and videos. This becomes increasingly important as financial institutions seek to deploy AI models that require broader contextual understanding beyond structured databases.

Huawei also expanded its ecosystem collaboration strategy. Together with partners including Keyrus, Sunline, and TrustDecision, the company launched nine AI agent business solutions covering:

• Intelligent customer interaction

• Operational efficiency

• Automated risk management

• Revenue growth optimization

The emphasis throughout the summit was not simply on experimentation with AI, but on operationalizing AI at scale inside regulated financial environments.

Modernizing the Banking Core

Beyond AI applications, Huawei also targeted one of banking’s biggest long-term challenges: legacy infrastructure.

The company introduced Digital CORE Solution 6.0, a cloud-native platform designed to modernize core banking systems and accelerate the retirement of aging mainframe environments.

Built with Huawei CodeArts and co-developed alongside Stefanini and Sunline, the platform includes an AI-powered code transpilation tool that automates portions of the migration process from legacy systems to modern architectures.

Huawei claims the tool achieves adoption rates above 90% while reducing planning cycles by more than half, potentially addressing one of the most expensive and time-consuming modernization hurdles facing banks globally.

To support resilience at scale, Huawei also showcased its Atlas 850E SuperPoD infrastructure along with a broader enterprise-grade architecture framework centered around what it calls the “4 Zeros” principle:

• Zero downtime

• Zero wait

• Zero touch

• Zero trust

The company positions this framework as critical for maintaining reliability and security as AI systems become more deeply integrated into core banking operations.

A Global Push Beyond China

While Huawei remains a dominant technology force within China, the summit highlighted the company’s increasingly international focus.

The event featured a diverse mix of global delegates, partners, and speakers, reinforcing Huawei’s ambitions to expand its role in worldwide financial transformation initiatives.

Across workshops, exhibition zones, and keynote sessions, attendees explored demonstrations of AI-driven banking solutions, autonomous workflows, and next-generation infrastructure. One interactive booth even allowed participants to generate AI-powered caricatures of themselves alongside personalized commemorative coins.

The summit reflected a broader industry trend as banks worldwide race to determine how AI agents, autonomous operations, and generative AI interfaces will reshape customer engagement and operational efficiency over the next decade.

The Talent Challenge Ahead

Huawei also acknowledged that technology alone will not determine success in the AI banking transition.

The company announced plans to launch a large-scale AI talent development initiative aimed at training more than 10,000 interdisciplinary professionals over the next three years. The program will focus specifically on the intersection of finance and artificial intelligence.

As financial institutions move toward autonomous and agentic operating models, the demand for talent capable of understanding both banking operations and advanced AI systems is expected to grow significantly.

Huawei’s strategy signals that the race toward agentic banking will depend not only on infrastructure and models, but also on the ability to build organizations capable of managing AI-native financial ecosystems.

Why It Matters

Huawei’s announcements at HiFS 2026 highlight how quickly the financial industry is moving beyond basic AI experimentation.

Banks are no longer asking whether AI will become part of their operations. The focus is shifting toward how deeply AI can integrate into customer journeys, risk systems, infrastructure management, and decision-making processes.

The concept of “agentic banking” may still be emerging, but Huawei is positioning itself aggressively as one of the companies building the underlying infrastructure for that future.

And if the industry follows the trajectory outlined in Shanghai this week, banking’s next chapter may involve AI agents operating alongside humans at nearly every level of the financial stack.