DBS Group
Singapore, Global Financial services
AI-assisted work Role Redesign
Evidence Brief
How DBS connects enterprise AI deployment to banking role redesign, reskilling and internal mobility, with evidence on operating-model transformation and changing hiring demand.
October 2026
For the concepts behind task, workflow and role changes, use the AI workforce transformation knowledge guide. For individual capability development, explore the AI Fluency framework.
What changed
DBS formally redesigned roles and operating models around AI, with reskilling and redeployment tied to affected work.
Key results
Employees identified for deeper reskilling/upskilling — More than 11,000 employees identified — After 11000 employees
2025
Share of identified employees who commenced training — 96% had commenced training — After 96 percent
2025
Economic value from AI/ML and analytics — Approximately SGD 1 billion — After 1000000000 SGD
2025
How the organization responded
Organizational response: Reskill · Redeploy · Create Roles · Operating Model Redesign
Why it matters
AI adoption is linked to actual workforce-transition mechanisms rather than training alone. Shows how a bank can connect AI use cases to scaled role redesign, reskilling and redeployment.
Source
DBS Group
DBS reports completed operating-model transformations, role redesign, reskilling and redeployment linked to AI use cases, including customer-service pathways into relationship and wealth-planning roles.
