When Headcount Is No Longer Capacity: Rethinking Talent in Business Services

Małgorzata Jasińska-Dyla | Managing Director - Workforce & Operating Model Transformation, Helprise 

The ABSL Business Services Industry Global Report 2026 captures a shift that has been building for some time. For most of the last two decades, one of the central talent questions in Business Services was relatively straightforward: where can we find enough people with the right skills, at the right cost, and how quickly can we scale? 

That question still matters. Demographic pressure is real, specialist talent remains difficult to secure and wage differentials between locations are narrowing. But the report suggests that the nature of the constraint is changing. Increasingly, the issue is not simply the number of people available in a labour market. It is whether organisations can access and continuously renew the combination of domain expertise, digital fluency, analytical capability, process knowledge and professional judgement their future model requires. 

This distinction matters because a capability constraint produces a different response from a labour shortage. Recruitment and location decisions remain important, but they are no longer sufficient on their own. Talent strategy increasingly has to answer three questions at the same time: what capability will the organisation need, which parts of it must be developed and retained internally, and how should the remaining capability be accessed across employees, external specialists, partners, locations and technology? 

Headcount is no longer the whole capacity story 

One of the most important changes described in the ABSL report is the move from treating headcount as the main proxy for capacity towards a broader model combining human, digital and ecosystem capacity. 

This is more than a change in terminology. Business Services has historically been an industry in which scale was often visible through employment. A larger centre generally meant more people, more transactions and more scope. That relationship is becoming less linear. Automation and AI can increase the amount of work handled by a team, while specialist expertise can be accessed temporarily or from outside the organisation rather than added permanently to payroll. 

As a result, a GBS organisation can become significantly more capable without becoming significantly larger. It may support more markets, take ownership of more complex processes, handle greater volumes or provide more sophisticated analysis while keeping headcount broadly stable. Traditional workforce measures will not disappear, but they tell an increasingly incomplete story. 

This should also change how organisations plan their workforce. The starting point can no longer be only an FTE plan derived from expected volumes. Workforce planning needs a view of the different sources of capacity that may be available and the different purposes they serve. Permanent employees provide continuity, organisational knowledge and leadership pipelines. Contingent specialists can fill scarce or temporary capability gaps. Partners provide technology, expertise or scale that does not need to be built internally. Digital capacity changes the amount and type of work people need to perform. 

The emerging workforce is therefore not simply smaller or larger. It is more heterogeneous. 

The future workforce is a capability portfolio 

This leads to a more interesting version of the familiar “build or buy” question. 

Organisations have often treated talent decisions as a choice between hiring capability internally or sourcing it from the market. In practice, the future model is likely to combine several forms of access at the same time. The more useful distinction is increasingly between capabilities the organisation needs to own and expertise it can access when required. 

Ownership does not necessarily mean that every person delivering the capability must be an employee. It means that the organisation retains enough knowledge, experience and authority to understand the capability, make decisions about it and continue developing it. 

That is particularly important in Business Services. An organisation can bring in specialist AI engineers, use an external implementation partner or access niche expertise for a period of time. What it cannot safely lose is its own understanding of the business process, the context in which decisions are made and the institutional knowledge that allows it to judge whether a solution actually works. 

This distinction becomes increasingly relevant as Business Services moves further into higher-value work. The strategic capability is often not one technical skill in isolation, but the ability to combine business knowledge, process understanding and technology in a way that produces an operational outcome. 

For workforce leaders, the question is therefore not simply which roles should be internal and which should be external. It is which capabilities need enough depth inside the organisation to remain durable even as individual experts, suppliers and technologies change. 

Talent has to be built, not only bought 

The ABSL report also points to a broader change in how organisations need to think about talent supply. The external labour market cannot be assumed to provide every required capability in a finished form exactly when it is needed. 

This is particularly challenging because the capabilities Business Services increasingly needs are often combinations rather than individual skills. Organisations may be able to recruit a data specialist, a finance expert or an automation engineer. It is much harder to find someone who combines deep process knowledge, digital fluency, commercial understanding, stakeholder skills and the judgement required to make decisions in an ambiguous environment. 

Some of those combinations can only be created through experience. 

That makes internal mobility, reskilling and development a more strategic part of workforce planning. University partnerships, apprenticeships and alternative credentials also become more important, not only as recruitment channels but as mechanisms for shaping the capabilities that will eventually enter the market. 

The implication is that workforce planning needs to move further upstream. If talent planning begins when a vacancy opens, it may already be too late. Capabilities that take several years to develop cannot be created quickly once the shortage becomes visible. 

From our perspective at Helprise, this is especially relevant for roles at the intersection of business and technology. The market will continue to produce more technical AI capability. The harder question is how quickly organisations can develop people who understand enough about both the technology and the business to connect it to real work, recognise its limitations and make sensible decisions about where it should be applied. 

That capability is unlikely to come from recruitment alone. 

AI is changing the shape of the talent pyramid 

The report's discussion of early-career talent raises an even more difficult issue. 

Business Services has traditionally developed talent through a pyramid. Large numbers of junior employees performed relatively structured and transactional work. In doing so, they learned processes, built context, encountered exceptions and gradually developed the judgement required for more specialist or leadership roles. 

AI challenges part of that model because many of the tasks most suitable for automation are also the tasks traditionally performed at the bottom of the pyramid. 

This creates an important tension. Organisations may need fewer people to perform routine work, but they will still need experienced specialists and leaders several years from now. If the entry layer becomes materially smaller without an alternative development model, the sector may solve one productivity problem while creating a future capability problem. 

The issue is therefore broader than maintaining graduate recruitment numbers. What may need to change is the structure of early careers themselves. Junior employees may need to encounter more complex situations earlier, rotate across work more deliberately, spend more time learning alongside experienced practitioners and build judgement through a different mix of experiences than previous generations did. 

That also changes what “entry level” means. In some parts of Business Services, the first meaningful role may require more business understanding, digital fluency or analytical capability than the roles through which previous generations entered the industry. 

The traditional talent pyramid may consequently become narrower at the base and more demanding earlier in a career. That has implications for recruitment profiles, training investment, spans of control, career progression and succession planning. 

It also creates a question that organisations should address now rather than in five years: if AI increasingly performs the work through which people used to become experts, how will tomorrow's experts become experts? 

What becomes more valuable as AI gets better? 

Much of the debate about AI and talent focuses on the skills that may become less valuable. The opposite question may be more useful for workforce planning: which human capabilities become more valuable precisely because AI is becoming more capable? 

The ABSL report points towards a growing role for professional judgement, specialist expertise, technological fluency, process knowledge and the ability to manage exceptions. Those capabilities become important not because AI has failed, but because the division of work is changing. 

If technology performs more of the routine analysis and preparation, people may spend proportionately more of their time dealing with ambiguity, unusual situations and decisions that carry consequences. This can make the average unit of human work more demanding even when the overall amount of human effort falls. 

For talent strategy, that means organisations should be careful about describing future skills only in technical terms. AI literacy will matter, but it will not remove the need for expertise. In many situations it may increase the value of people who can frame the right problem, understand context, judge the quality of an output and recognise when a situation falls outside the normal pattern. 

Experience may also become more valuable in different ways. Someone with deep process knowledge does not necessarily need to become a data scientist to contribute to an AI-enabled organisation. The combination of institutional knowledge and sufficient understanding of technology to use, challenge and improve it can itself become a scarce capability. 

The future workforce is therefore unlikely to be divided neatly into “AI people” and “business people”. Some of the most valuable talent may sit in the space between the two. 

Reskilling needs a destination 

This has consequences for the current enthusiasm around reskilling. Organisations frequently know that existing employees need to develop new capabilities before they have clearly defined what future work those capabilities are meant to support. 

That risks turning reskilling into a broad learning programme rather than a workforce intervention. 

The stronger sequence is to understand how the organisation expects its work and capability needs to evolve, identify where existing talent can realistically move and then build development pathways linked to those future roles. Not every employee will move into every emerging capability, and not every skill gap should be closed internally. 

This is why reskilling and recruitment should not be treated as competing strategies. Organisations will need both. Some capabilities need to be acquired quickly because the organisation cannot wait to develop them internally. Others are more valuable when they are built from existing organisational and process knowledge. 

The workforce challenge is to know the difference early enough to act. 

It also means measuring development differently. Training hours or course completion say little about whether an organisation has actually strengthened a critical capability. Measures such as time to proficiency, internal fill rates, movement into priority roles and progression through redesigned early-career pathways become more meaningful. 

Global talent strategy is becoming portfolio strategy 

The global perspective in the ABSL report reinforces the same logic. There is no single regional answer to the talent constraint because different markets provide different combinations of scale, cost, expertise and maturity. 

The Americas combine strong productivity, access to advanced technology and capital, while specialist capability can be expensive and unevenly distributed. APAC provides exceptional workforce and engineering scale, but scale alone does not guarantee access to every specialist capability or the ability to assume end-to-end ownership. EMEA benefits from mature Business Services ecosystems, multilingual capability, domain knowledge and established governance, while demographic pressure, specialist shortages and wage growth create increasing constraints. 

This makes location strategy less about identifying the “best” region and more about combining complementary strengths. 

The report describes the broader evolution as a move from cost arbitrage towards capability arbitrage. Cost remains relevant, but it increasingly sits alongside specialist talent depth, resilience, regulatory fit, infrastructure, proximity to the business and the ability to support higher-value activities. 

That means global workforce strategy and location strategy are becoming harder to separate. A company may choose one location for engineering depth, another for multilingual process capability, another for regulatory knowledge and another for proximity to key decision-makers. External partners and distributed specialists may complement all of them. 

The result is a global capability portfolio rather than a collection of centres optimised independently. 

For Business Services leaders, this may be one of the biggest changes in mindset. The objective is no longer simply to place work where enough people can be hired at an attractive cost. It is to build a portfolio that can continuously provide the capabilities the organisation needs as those capabilities themselves change. 

What this changes for talent strategy 

Taken together, these shifts make talent a much more integrated part of Business Services strategy. 

Workforce leaders still need to understand labour markets, recruitment and compensation. But they increasingly also need to understand how the organisation's capability model is changing, which knowledge must remain institutional, where new expertise will come from and how today's workforce decisions affect capability several years into the future. 

For Helprise, this is the most important implication of the report. Talent strategy cannot simply react to an operating model designed elsewhere. It needs to help shape the capability architecture behind that model. 

That requires a broader set of decisions than traditional workforce planning. Organisations need to determine what capability should be built and retained internally, what can be accessed through partners or flexible talent, how human and digital capacity combine, how the early-career model needs to change and which locations are best suited to different parts of the capability portfolio. 

None of those questions has one universal answer. But they share a common starting point: headcount is no longer the same thing as capacity, and talent availability is no longer the same thing as capability. 

The organisations that adapt best may not be those that simply recruit faster or automate more aggressively. They will be the ones that become better at continuously deciding what capabilities they need, where those capabilities should come from and how to keep renewing them before today's talent gap becomes tomorrow's structural constraint.