The Future of GBS: Four Shifts Leaders Can't Ignore
Posted by Barbara Hodge on June 9, 2026
The Global Business Services (GBS) industry is entering a new era. During a recent webinar hosted by SSON Research & Analytics and featuring APEX GBS Standards Committee, industry leaders explored how GBS organizations must evolve to remain relevant and create strategic value in an increasingly AI-driven business environment.
The discussion centered around four critical areas of transformation: Talent, Global Capability Centers (GCCs), data and process architecture, and the mindset required to lead the next generation of GBS organizations.
1. Talent Must Shift from Functional Expertise to Capabilities
For decades, GBS organizations have been structured around functional excellence, often mirroring the business functions they support. However, as AI increasingly automates transactional and specialist tasks, this model is becoming less effective.
The future belongs to capability-driven organizations. Skills such as decision-making, digital fluency, process understanding, innovation, and cross-functional collaboration will become more valuable than deep expertise in any single function. Leaders must rethink workforce strategies to develop adaptable talent that can operate across increasingly interconnected business processes.
2. GCCs Are Becoming Strategic Engines of Growth
Global Capability Centers continue to expand rapidly, particularly in India, where the number of GCCs is expected to more than double by 2030.
The panel emphasized that GCCs should not be viewed as separate operating systems, but rather as critical components within a modern GBS model. Today's leading GCCs are delivering far more than labor arbitrage. They provide access to advanced AI, analytics, R&D, and digital talent while accelerating innovation, improving decision-making, and enabling faster speed to market.
Organizations seeing the greatest success are focusing on enterprise outcomes such as revenue growth, margin improvement, innovation, and customer experience rather than simply measuring cost savings.
3. Intelligence Requires Strong Data and Process Foundations
While AI continues to dominate boardroom conversations, the panel highlighted a crucial reality: intelligence requires context.
That context comes from robust data foundations and well-defined end-to-end process architecture. Organizations must move beyond fragmented process views and build visibility across entire value streams. By combining process mapping, task mining, and process mining, GBS leaders can create the foundation necessary for intelligent automation, predictive insights, and agentic AI orchestration.
The message was clear: before organizations can orchestrate transformation, they must first build the architecture that enables it.
4. Developing a CEO Mindset inside GBS
Perhaps the most provocative discussion focused on how CEOs perceive GBS today.
Despite decades of evolution, many organizations still view GBS primarily as a provider of efficient transactional services. Yet the opportunity is much larger. According to the panel, GBS should aspire to become a key driver of enterprise competitiveness by delivering operational agility, transformation leadership, and strategic insights.
The challenge for GBS leaders is to move beyond being seen as internal service providers and instead become trusted advisors who influence business outcomes. Success will increasingly be measured by the ability to transform end-to-end operations, develop enterprise talent, elevate stakeholder experiences, and create measurable business value.
The Bottom Line
The clear message is that the traditional GBS operating model needs a refresh.
Many organizations remain focused on functional efficiency, yet the future requires a shift toward enterprise capabilities, integrated operating models, intelligent process architecture, and stronger strategic alignment with business outcomes.
As AI accelerates change across every industry, GBS leaders have an opportunity to reposition their organizations from transactional support functions to engines of innovation, transformation, and competitive advantage.
The question today is only whether organizations can evolve quickly enough to capture the opportunity.
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