Industry

From Back-Office to Innovation Hub: GCCs Redefining Global Strategy

Industry

From Back-Office to Innovation Hub: GCCs Redefining Global Strategy

India's GCCs are evolving from operational units to strategic innovation hubs, focusing on skill visibility, AI-driven talent strategies, and ecosystem collaboration.
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India's Global Capability Centers (GCCs) are undergoing a transformative shift, evolving from traditional operational units to strategic innovation hubs. This evolution was prominently showcased at two significant events: the 15th NASSCOM GCC Summit and the ET GCC Growth Summit

These gatherings brought together over 1,300 global leaders and 80+ speakers across more than 30 sessions, emphasizing the pivotal role of GCCs in driving advancements in product engineering, AI/ML development, cybersecurity, and workforce management.

Across these events, the Prismforce team engaged deeply with leaders from India's diverse GCC ecosystem, professional services firms, and technology innovators. Here’s what we learned about the critical shifts reshaping GCC operating models and talent strategies.

Five Industry-Wide Conversations

1. Talent Mobility as a Competitive Edge

Across conversations, a common theme emerged: GCCs need better visibility into the skills they already have—and how to mobilize them effectively. Static org structures are giving way to more fluid, skill-driven models where talent can move horizontally across projects or vertically into leadership and specialized roles.

The foundation for this shift is a robust skills intelligence system. GCCs are beginning to:

  • Continuously map employee skill sets using project data, certifications, and self-assessments.

  • Identify skill gaps not just for today’s needs, but in anticipation of future growth targets (e.g., “We’re at 3,000 today and plan to scale to 5,000 next year—what new capabilities will we need?”).

  • Link these insights to personalized learning paths that upskill employees in line with both project demand and individual career ambitions.

This creates a virtuous cycle where internal mobility becomes not just possible, but planned—and talent is deployed where it can drive the most impact.

Key takeaways:

  • Invest in a living skill inventory that evolves with real-time data and reflects current capabilities.

  • Use skill visibility to enable career growth—designing clear horizontal and vertical mobility pathways.

  • Prioritize internal fulfillment of roles before hiring externally, saving costs and boosting engagement.

2. Embedding Learning into the Flow of Work

Traditional Learning Management Systems (LMS) are giving way to micro-learning integrated directly into collaboration platforms like Slack, Teams, and email. Development is happening when and where it's needed.

Crucial strategies:

  • Trigger bite-sized modules through role changes or project milestones, delivering them in employees’ daily tools.

  • Co-design learning paths with individuals, aligning course content to both immediate assignments and long-term ambitions.

  • Balance technical skill deep-dives (AI, cloud, analytics) with workshops on leadership, communication, and strategic thinking.

3. Forecasting Skills Gaps Before They Appear

Talent strategists are adopting AI-driven forecasting to anticipate skills shortages. By scanning project pipelines against real-time skill inventories, they can flag looming shortages—like a predicted deficit in cloud-security analysts—months ahead. Early alerts enable targeted training cohorts that fill the gap just in time for major client rollouts.

Key principles:

  • Maintain living skill inventories by ingesting signals from project tickets, certification completions, and collaboration tools.

  • Apply a “talent supply chain” mindset—plan demand, source candidates, match people, then develop them—to keep workflows seamless.

  • Implement obsolescence alerts for critical skills, so proactive upskilling or strategic hiring can avert delivery risks.

4. AI as an Amplifier, Not a Replacement

Across panels, AI was celebrated as a force-multiplier: augmenting human judgment, automating low-value tasks, and spotlighting emerging skill gaps before they become crises. Embracing this mindset helps GCCs build resilient workforces ready for continuous change.

As Sumit Kulkarni, CRO at Prismforce, noted during his summit interview:

“The nature of work will evolve to a point where AI isn’t seen as something separate or special. What we now call ‘AI-enabled’ will simply become the default way of working.”

This shift in mindset is already helping GCCs move toward true workforce transformation. By embedding AI across talent workflows—from role matching to learning interventions—organizations are not only improving productivity, but also building a future-ready foundation.

For a deeper exploration of how AI is reshaping talent strategies, watch this insightful interview here:

Work, Rewired: Navigating the Skills Shift in the AI Age | Prismforce | Sumit Kulkarni

5. Ecosystem Collaboration and Innovation

Both events highlighted a new era for GCCs—not just operating in isolation, but becoming anchors for broader regional and national growth.

At the NASSCOM GCC Summit, government and industry leaders discussed a nationwide framework that aims to move beyond established metro hubs, supporting the rise of GCCs in Tier 2 and Tier 3 cities.

At ET GCC Pune, the theme of partnership was everywhere: collaborations with startups, local academia, and even fellow GCCs to co-develop AI, cybersecurity, and digital engineering solutions.

The message: GCC success is now a function of how well organizations connect across the ecosystem—integrating policy, talent pipelines, and rapid innovation, not just within their own four walls.

Why This Moment Matters

GCCs are entering a phase where thoughtful talent planning and internal capability building are becoming more important than ever. With changing business needs and work environments, many organizations are focusing on how to better understand, develop, and deploy their existing workforce.

A few practical shifts are guiding this approach:

  • Resource constraints and skill gaps are prompting teams to look inward, identifying existing strengths and reallocating people to new roles where possible.

  • Distributed teams are creating a need for clearer visibility into who has which skills, making collaboration and planning more seamless.

  • AI tools are starting to support—not replace—talent decisions, helping surface trends, automate routine steps, and make development efforts more targeted.

Looking Ahead

The conversations at NASSCOM and ET GCC Summits 2025 made it clear that winning the future of work will require bold talent strategies powered by intelligent technologies.

Organizations that invest in skills intelligence, embrace AI for workforce management, and foster a culture of continuous learning will be the ones to define the next chapter of India's global leadership in professional services.

At Prismforce, we’re energized by these conversations. Our mission remains to partner with GCCs and IT services leaders—harnessing AI, skill-first design, and data-driven workflows—to build resilient, future-ready workforces.

Interested in reimagining your talent strategy for the AI era? Let’s connect and explore how Prismforce can help you build a future-ready workforce.

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