Global banks are moving their AI investment out of pilot projects and into dedicated internal institutions, and HSBC just built one of the largest examples yet. The bank announced on July 27 that it will launch a Global AI Centre of Excellence in Singapore in the second half of 2026, hiring more than 100 AI specialists to build capabilities meant to scale across HSBC’s entire network rather than stay confined to one market or product line.
The centre will focus initially on three areas: enhancing customer wealth journey conversations, introducing agentic treasury solutions and developing AI-enabled digital payments. The specialists, spanning natural language processing, data science, AI governance and human-centred design, will work alongside David Rice, HSBC’s Chief AI Officer, and teams covering wealth management and global payments. HSBC said it will also partner with educational institutions and government bodies in Singapore to build a longer-term talent pipeline. Group CEO Georges Elhedery said the centre is meant 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.”
What makes this worth watching is the structure, not just the headcount. Rather than embedding AI specialists inside individual business lines, HSBC is centralising them into a single centre of excellence explicitly designed to export capability, and governance standards, across the whole bank. That is a different model from the vendor-partnership approach other large banks have taken, where AI capability arrives bundled with a single product from a single supplier. A centralised, in-house centre gives HSBC more control over how agentic treasury and payments tools get governed as they scale, at the cost of a slower build than licensing a ready-made product. Other global banks weighing the build-versus-partner question on AI now have a large, public data point for what the in-house path costs in headcount and time, a trade-off that matters to any institution watching how banks such as Bank of America have scaled generative AI on customer-facing channels using a different structure.
Source: HSBC
