Join Achyuta Ghosh and Aparna Rao for a practical conversation on how AI is changing the actual work inside GCCs, and what that means for roles, skills, and leadership. They discuss how the GCC model is moving from processing tasks to making decisions, why AI cannot fix weak fundamentals, and what leaders need to do right now to stay relevant.

What you'll hear:

• Why work in GCCs is no longer organized around steps and tasks.
• It is increasingly organized around decisions, and what humans should do versus what AI should do.
• Aparna draws on 25 years of building and scaling six GCCs across IT, retail, agriculture, pharma, and pharma logistics, and shares what is actually working on the ground at Cencora.

Key takeaways:

• Why has work not reduced inside GCCs? It has elevated, and the bar for talent has risen with it.
• The three shifts reshaping GCC roles: from processing to judgment, from deep silos to T-shaped capability, and from doing the work to influencing how it gets done.
• Why does AI not fix weak fundamentals? It amplifies them, and what to do about that before you scale anything.
• Why is the right starting point not the tool, but the business problem, and how a recent hackathon at Cencora made that visible?
• How democratizing AI access, building AI governance into the capability framework, and investing in human learning together change what a GCC can deliver.
• Practical guidance for this quarter: redesign one or two high-impact workflows end-to-end rather than trying to transform everything at once.
• Why will the winners not be the GCCs that adopt AI the fastest, but the ones that use it most thoughtfully?

To know more about HFS on Global Capability Centers (GCCs), visit us here: https://www.hfsresearch.com/global-capability-centers-gccs/