How HSBC is Scaling AI with the Singapore Excellence Centre

HSBC has announced plans to launch a Global AI Centre of Excellence (CoE) in Singapore in the second half of 2026.

The CoE is designed to function as a centralised innovation hub, developing AI capabilities that can be deployed across HSBC's global network.

To support the initiative, HSBC plans to recruit more than 100 AI specialists, spanning natural language processing, data science, AI governance and human-centred design.

These hires will work alongside David Rice, HSBC's Chief AI Officer, as well as teams across wealth management and global payments solutions.

AI deployment in financial workflows

According to the bank, the move aligns with broader objectives to digitise customer engagement, streamline operations and strengthen decision-making through advanced analytics.

These include enhancing customer wealth journey conversations through AI-driven insights, introducing agentic treasury solutions to optimise corporate liquidity and decisioning and developing AI-enabled digital payments capabilities.

These areas reflect strategic priorities in high-growth, data-intensive segments where machine learning models can materially improve outcomes.

In payments particularly, AI is expected to support fraud detection, real-time processing and intelligent routing.

The treasury solutions suggest the deployment of agentic AI systems capable of autonomous decision-making within defined parameters.

Georges Elhedery, Group CEO of HSBC, says: "The new AI Centre of Excellence in Singapore will help drive our global AI vision – to empower our colleagues to use AI to create a personalised experience for each customer, deliver it safely, in real time and at scale, while keeping human judgement, decision-making and accountability at the core."

Scaling AI across the enterprise

The CoE forms part of HSBC's wider AI transformation strategy, which centres on integrating intelligence across its operations and customer touchpoints.

The bank also notes that partnerships with leading technology firms are expected to play a role in accelerating AI deployment, particularly in areas such as machine learning infrastructure, data platforms and gen AI applications.

For those working in enterprise AI, the Singapore CoE could provide a case study in how large-scale financial institutions are structuring their approach to AI operations, talent acquisition and governance in an increasingly regulated environment.

Specialist recruitment and governance architecture

The bank is also investing in Singapore's innovation ecosystem, collaborating with academic institutions and government bodies to build what it describes as a sustainable AI talent pipeline.

This dual focus could indicate an approach that advances technical capability while ensuring responsible deployment frameworks are embedded from the outset.

HSBC has emphasised that all AI development within the CoE will maintain strong governance frameworks and human oversight.

According to the bank, this represents an increasingly critical requirement as financial institutions navigate regulatory scrutiny and ethical considerations around AI systems.