Something structural has changed in how boards evaluate their Global Business Services organisations. The question is no longer "how much did you save?" It is "what did you enable?"
The 2026 SSON State of the Industry report confirms that cost discipline is now assumed — differentiation comes from value creation. Leading shared services organisations are expected to deliver efficiency and measurable business outcomes: improving service quality, enabling better decisions, and supporting enterprise priorities. That is not a modest shift. It is a complete inversion of the original GBS mandate. McKinsey & Company
How we got here
The first generation of shared services — established through the 1990s and 2000s — was built on a simple proposition: do the same work, at lower cost, by consolidating it in a cheaper location. The logic held for twenty years. It produced real savings. And it created the operational infrastructure that now, in the mid-2020s, every serious enterprise takes for granted.
The second generation — the GBS model that emerged from the 2010s onward — added standardisation, process ownership, and the beginnings of analytics capability. Shared services became Global Business Services. The scope expanded. But the fundamental value metric stayed the same: cost per transaction, headcount ratio, SLA compliance.
What the current generation is discovering is that those metrics, while necessary, are no longer sufficient. GBS has evolved into an enterprise nerve centre that facilitates digital transformation, propels data-driven decision-making, and plays a crucial role in influencing business results at scale. GBS organisations are now the main designers of enterprise-wide resilience and sustainable growth. That is the ambition. The gap between ambition and execution is where the real work lives. McKinsey & Company
The three dimensions of the shift
McKinsey's State of AI 2025 survey is instructive here. Just 39 percent of respondents report EBIT impact at the enterprise level from AI initiatives — despite 88 percent saying their organisations regularly use AI in at least one business function. The same pattern applies directly to GBS: high adoption of the tools, low realisation of the enterprise-level value. The organisations closing that gap are doing three things differently. Punku
First, they are expanding scope deliberately. Around 45 percent of GBS organisations now provide data or business analytics services. This is not a natural evolution — it is a deliberate decision by GBS leaders to take on higher-value work before someone else does. The organisations that wait for scope to expand organically tend to find that digital transformation initiatives get built outside GBS entirely, leaving shared services permanently behind the frontier. McKinsey & Company
Second, they are changing how performance is measured. The 2026 SSON Global Market Report shows that organisations are maintaining or expanding shared services scope — but what has changed is the bar for success. Cost discipline is now assumed; differentiation comes from value creation. Value-level agreements, rather than service-level agreements, are how the most advanced GBS organisations are now measured. Performance is tied to business impact — revenue enablement, risk reduction, decision speed — not to transaction volumes. McKinsey & Company
Third, they are repositioning GBS as a leadership pipeline, not a delivery arm. Leading GBS centres are increasingly positioned as global leadership pipelines rather than offshore delivery arms. By offering clear pathways into core business functions and fostering a culture of continuous learning, these centres are attracting talent eager to drive enterprise-wide transformation rather than simply maintain operations. This matters because talent strategy and strategic positioning are not separate problems. You cannot attract the kind of people who can run a value engine if the role is still described as back-office administration. McKinsey & Company
What separates leaders from laggards in practice
In 2023 and 2024, tech-forward enterprises broke through the pilot phase, achieving 10 to 25 percent EBITDA gains by scaling AI across information retrieval and single-task automation. They established a repeatable playbook that others can now follow. Yet most organisations remain stuck in experimentation mode, satisfied with minor productivity gains that have not delivered significant value. Libertify
The Bain framing is useful because it is precise. The difference is not access to technology — it is organisational willingness to redesign work around it. High-performing GBS organisations are not deploying AI tools on top of existing processes. They are asking which processes should exist at all, and rebuilding from that question outward.
The operational implication
For executives making GBS investment decisions in 2026, the strategic question is not whether to move from cost centre to value engine — that direction is already settled. The question is sequencing: what are the foundational capabilities that must exist before the value engine proposition is credible?
The answer, consistently, is the same: standardised processes, unified data governance, and a governance framework that can handle the velocity of AI-enabled decision cycles. These are not exciting investments. They do not make for compelling board presentations on their own. But they are what determine whether the next GBS transformation programme delivers the value the strategy deck promised.
The organisations that built proper GBS foundations in the 2010s are now compounding those advantages rapidly. The organisations that did not are facing two problems at once: build the foundation and catch up on AI simultaneously. That is the gap that is widening, and it is widening faster than most executive committees currently appreciate.
