Introducing ChatGCC: Real-World Insights Shaping the Future of Global Capability Centers
- 3 hours ago
- 18 min read
Episode 1
Hosted by Patricia Connolly and Aditya Jayaraman
Backed by SMC Squared and Hexaware Technologies
Key Takeaways
India now hosts roughly 1,800 Global Capability Centers employing over 1.9 million professionals — with an estimated three new GCCs announced every week, driven largely by U.S. and European enterprises.
GCCs have moved through three phases: GCC 1.0 (cost arbitrage), GCC 1.5 (leveraging talent for value), and now GCC 2.0 (AI-infused, outcome-driven organizations).
AI adoption is now table stakes: ~83% of GCCs are scaling generative AI, ~58% are actively investing in agentic AI, and ~71% have launched reskilling initiatives to close the AI-readiness gap.
Best-in-class GCCs share three traits: they operate as innovation hubs (not low-cost outposts), they're building toward an autonomous "GCC of 2030," and they treat the shift as a journey — data, then enterprise intelligence, then agents.
Talent and culture — not just cost — now decide success. The leaders winning with GCCs are rethinking their talent mix for an agentic enterprise.
A New Conversation for GCC Leaders
ChatGCC is a podcast for the executives building, scaling, and rethinking Global Capability Centers — candid, operator-level conversations for CIOs, technology leaders, and GCC operators across the U.S. and India. There's no shortage of generic commentary on GCCs; what's missing is the unfiltered version from people who have actually done it.
That's the gap hosts Patricia Connolly and Aditya Jayaraman set out to fill. As Jayaraman frames the series, the aim is "to talk about subjects that leaders need — the realities of building GCCs, especially how and why they succeed, and very importantly, why they fail or stall." This first episode introduces the hosts and tackles the question on every CIO's mind: where the GCC market stands today, and where it's heading.
Patricia Connolly leads SMC Squared — now part of Hexaware — globally. Her path runs from KPMG through 25 years at Target, where she helped stand up Target India, and a decade building SMC Squared into 35+ GCCs that provide more than 5,000 team members to companies like Ecolab, Callaway Topgolf, Deloitte, Seagate, and Agility Health.
Aditya Jayaraman leads Hexaware in the India market. A self-described "Bay Area tech guy" with two decades across telecoms, data-analytics and Gen AI startups, and a stint leading the high-tech vertical at AWS, his focus is bringing cloud and startup thinking into the GCC ecosystem.
The State of the GCC Market
The growth has been staggering. India alone, Connolly notes, "hosts about 1,800 GCCs employing over 1.9 million professionals," with roughly three new centers announced every week — momentum driven largely by U.S. and European enterprises, with Asia-Pacific and Australia now following. For CIOs, the signal is clear: this is no longer an emerging trend to monitor but a mature, fast-scaling market.
AI is the engine behind much of that acceleration. Around 83% of GCCs are scaling generative AI, roughly 58% are actively investing in agentic AI, and about 71% have launched reskilling initiatives to close the readiness gap. The scale is already enterprise-defining — JPMorgan Chase alone runs AI-driven compliance, risk, and analytics workloads with over 55,000 employees in India.
"We've grown from thinking just about cost containment to leveraging the best talent and what they can do to provide value." — Patricia Connolly
From Cost to Capability
That shift in value is the throughline of the entire series. Conversations that were once dominated by labor savings now center on outcomes. Connolly shares about how much has changed: a few years ago, she says, "cost arbitrage was king — the only card in most cases." Today, the maturing of talent and confidence in GCCs has rewritten the agenda.
She maps the arc in three stages: GCC 1.0, built on cost arbitrage; GCC 1.5, leveraging talent to create genuine business value; and GCC 2.0, the AI-infused, outcome-driven organizations emerging now. The center of gravity has moved decisively from labor arbitrage to innovation.
What Best-In-Class Looks Like
After six months meeting GCC customers across India, Jayaraman sees the leaders converging on three things. First, they've stopped treating the India GCC as a cost play — it has become, in his words, "the hub of innovation for the entire enterprise, the mothership and the parent." Second, they're preparing for what he calls the GCC of 2030: anticipating that many workflows will become autonomous and agent-run, and rethinking the talent mix an agentic enterprise will require. Third, they treat the transformation as a journey rather than a switch to flip — stitching together data silos, building a layer of enterprise intelligence, and only then deploying the agents that run the workflows.
"The GCCs that will be best in class are the ones that today are an innovation center for their parent, are already thinking through their 2030 talent mix, and have embarked on the journey to become an agentic enterprise." — Aditya Jayaraman
Why Culture Decides Success
For all the focus on AI and operating models, Connolly keeps returning to a less technical lesson — one drawn from the early, difficult days of Target India, which "really wasn't a raving success from day one." What ultimately separated the wins from the stalls wasn't the technology stack. Looking back, she says, the difference was "the teams I got to work with and what made them tick — not just how technology played into success, but how culture played into the recipe for success." It's a theme the series will keep coming back to: for CIOs, operating model and culture prove as decisive as infrastructure and cost.
What's Next in this Series
Connolly and Jayaraman close by setting up the conversations ahead — beginning with the part most leaders avoid: why GCCs fail or stall, and how to manage that risk before strategizing about 2030. As Jayaraman puts it, "before learning how to do something, one should learn how not to do something — and that comes best by learning from prior failures."
Listen to ChatGCC Episode 1 — including an introduction to our hosts, the complete market data, and the hosts' take on the road to 2030.
Frequently Asked Questions
How big is the India GCC market? India hosts roughly 1,800 Global Capability Centers employing over 1.9 million professionals, with an estimated three new GCCs announced every week, driven largely by U.S. and European enterprises.
How are GCCs adopting AI? About 83% of GCCs are scaling generative AI, around 58% are investing in agentic AI, and roughly 71% have launched reskilling initiatives. JPMorgan Chase, for example, runs AI-driven compliance, risk, and analytics workloads with over 55,000 employees in India.
What are the stages of GCC maturity? GCC 1.0 focused on cost arbitrage, GCC 1.5 leveraged talent to create business value, and GCC 2.0 is AI-infused and outcome-driven.
What makes a best-in-class Global Capability Center? Best-in-class GCCs operate as innovation hubs rather than low-cost outposts, prepare for an autonomous "GCC of 2030" with an agentic talent mix, and treat the shift as a journey — data, then enterprise intelligence, then agents.
ChatGCC is hosted by Patricia Connolly and Aditya Jayaraman, and backed by SMC Squared and Hexaware.




