Align pay to skills and accelerate workforce agility
Why do skills matter now, and what has changed with AI?
AI disruption is reshaping work faster than traditional job architectures can adapt. Automation and generative AI are displacing some tasks and jobs even as they create new business opportunities. Organizations that continue to manage their workforce purely through job titles and fixed role descriptions are slow to reskill and redeploy talent, close capability gaps, and lose talent who see no future for their skills.
The shift to a skills-powered model gives organizations a clear, dynamic view of:
- Which skills are declining or fully automatable and should be phased out or redesigned.
- Which skills are rising in value, especially those that enable human-AI collaboration.
- Which skills they have, which they need, and the gaps in between.
4 reasons why paying for skills is important
In Asia, 54% of employees want to be recognized and rewarded for their skills, but only 27% of organizations have a framework in place to do so. This is where pay-for-skills becomes a strategic lever:
- It creates the incentive to upskill. When pay and promotion are linked to verified skills, employees have a clear reason to upskill.
- It signals organizational priorities. Paying more for high demand skills signals what the organization values, attracting talent and focusing development.
- It improves retention of your most valuable people. Skills-linked pay gives high-skilled employees a reason to stay and build their careers with you.
- It turns skills data into business action. Linking pay to skills makes you define, verify, and track capabilities for better workforce planning and mobility.
Pay-for-skills: Where to start?
| Challenge | Organizations lack external benchmarks to understand which skills are in demand, emerging, or declining — making it difficult to set priorities for hiring, development, or pay. |
| What to do | Establish a market-backed view of which skills are tied to which roles, at what proficiency levels, and how they are valued externally. |
| Mercer approach | Mercer Skills Library: A continuously refreshed database of over 4,000 in-demand skills mapped across jobs, functions, and proficiency levels — drawn from real-world workforce and market data. |
| Business impact | Creates a common, externally grounded language for workforce planning. Gives HR and business leaders a clear baseline for understanding which skills are scarce, which are becoming critical, and where their current workforce may be falling short. |
| Challenge | Most organizations rely on job titles or outdated CVs to infer capability — leading to hidden talent, poor deployment decisions, and skills gaps that only surface when it's too late. |
| What to do | Map existing workforce capabilities systematically, by function and proficiency level, to surface what you have and identify where the gaps are. |
| Mercer approach | Mercer AI-powered Skills Mapping: Uses AI to assess and map skills across the workforce based on roles, experience, and available data — giving organizations a dynamic, structured view of current capabilities and gaps. |
| Business impact | Reveals where capability already exists, enabling smarter talent deployment and internal mobility. Reduces reliance on external hiring by unlocking skills already present in the organization. Provides the evidence base for targeted reskilling investment. |
| Challenge | Without a link between skills and rewards, employees have little incentive to develop new capabilities — and organizations lose their most skilled people to competitors who do make that connection explicit. |
| What to do | Define how skills are verified, how they affect compensation ranges and career levels, and how demonstrated performance in new capabilities translates to pay and promotion decisions. |
| Mercer approach | Skills-powered rewards strategy: Mercer helps organizations connect compensation and career progression to verified skills and business-critical capabilities. Performance management: Define how performance in new roles, tasks or skills will be assessed, and how demonstrated outcomes affect pay, promotion and other rewards — so employees clearly see the link between skills and compensation. |
| Business impact | Drives faster reskilling uptake by making the link between learning and earning visible. Improves retention of high-demand talent. Gives managers clearer criteria for development conversations and pay decisions. |
| Challenge | Many organizations struggle to move from strategy to execution — with skills initiatives that remain siloed in HR rather than becoming embedded in how talent is managed day-to-day. |
| What to do | Integrate skills into workforce planning, learning programs, talent mobility, and core HR processes — with structured change management to ensure adoption across the business. |
| Mercer approach | Mercer End-to-End Skills Operationalization: Mercer works with organizations to embed skills into existing HR systems and processes — including learning and development, internal talent marketplaces, succession planning, and workforce analytics — supported by change management and capability building for HR and line managers. |
| Business impact | Transforms skills from a one-time diagnostic into a sustainable operating model. Builds the organizational habits and systems needed for continuous skills evolution, ensuring the workforce remains aligned to strategic priorities over time. |
Case study: How a telecommunications MNC used skills mapping and rewards to accelerate workforce transformation
The challenge
A telecommunications multinational needed to rapidly reskill employees as technology roles evolved and legacy hardware functions became less relevant. The organization wanted to encourage employees to proactively develop new capabilities while creating clearer visibility into future career opportunities.
The solution
Mercer helped implement a skills-powered pay approach supported by an internal talent platform where employees could view available roles, required skills, future growth areas, and potential salary progression tied to new skill acquisition. By directly linking compensation and career growth to verified skills, the organization created stronger incentives for continuous learning, internal mobility, and workforce transformation at scale.
The outcome
The organization is projected to reskill more than 100,000 employees for future-focused technology roles while improving workforce agility, internal mobility, and long-term workforce resilience.
Why choose Mercer to build a skills-powered compensation framework?
Pay-for-skills can take many forms and should align with your overarching rewards and talent strategy. Mercer’s capabilities consist of both advisory and product solutions to help clients get started.
By combining workforce intelligence, rewards expertise, performance management and strategic workforce consulting and solutions, Mercer helps organizations build a more agile, skills-powered workforce prepared for the future of work.
By tying merit increments and access to premium pay ranges to demonstrated skills, we saw faster reskilling uptake, clearer development pathways, and stronger retention among high-potential tech talent. Managers report more focused learning investments, and our talent pool is now better aligned to strategic priorities. The result was improved capability across critical roles, higher internal mobility, and a more motivated workforce contributing directly to our innovation and delivery goals.
Skills are the new currency of work — but most organizations are still paying for yesterday's playbook. As AI reshapes how we work, it's easy to fall into the trap of rewarding familiar skillsets over the ones that matter. Mercer Singapore’s skills-powered approach enables this shift with clear frameworks, robust market intelligence and a direct link between skills and rewards. Stop paying for the past. Start building for what's next.
Build a more agile, skills-powered workforce
Frequently asked questions
A skills-powered approach delivers four practical benefits that drive growth and performance:
- Workforce agility: You can quickly redeploy existing employees into high-growth areas because you know who has the right skills and at what proficiency. Gaps become visible early so you can act proactively rather than reactively.
- Cost optimization: By identifying transferable and in-demand skills internally, you reduce reliance on external hires and contractors, lowering recruitment and onboarding costs.
- Smarter, faster hiring: When external hires are required, a skills framework tells you exactly which capabilities and proficiency levels to target—reducing time-to-hire and improving quality of fit.
- Improved retention and resilience: Clear, skills-linked career pathways and pay demonstrate how learning converts into real advancement and earnings, increasing engagement and reducing turnover.
Key operational steps include:
- Define governance and ownership: Establish a cross-functional steering group (HR, rewards, talent, business leaders, L&D, and IT) to set scope and decision rules.
- Choose or build a skills taxonomy: Adopt a market-backed skills library and tailor it to your strategy and job architecture.
- Assess current capabilities: Combine HR data (job descriptions, performance, learning records) with surveys and AI-powered skills mapping to create a baseline of proficiency.
- Prioritize skills: Map skills to business priorities and decide which to reward, develop, or hire for.
- Design rewards and career pathways: Define evidence standards for demonstrated skills, link them to pay differentials/premium bands, and embed into promotion criteria.
- Integrate systems and processes: Update job profiles, performance management, learning curricula, talent marketplaces, and HRIS for end-to-end workflows.
- Launch change & communications: Run manager training, employee FAQs, and pilots before scaling. Typical pilots run for one business unit or function first to validate measures before enterprise rollout.
Costs vary with scope, scale, and delivery model. Factors that influence price include:
- Size of the workforce and number of job families in scope.
- Depth of capability mapping (simple inventory vs. AI-driven, proficiency-level mapping).
- Level of rewards design (guidance and frameworks vs. full compensation system redesign).
- Integration and technology requirements (HRIS, talent marketplaces, analytics dashboards). Typical engagements range from a focused pilot (lower end) to enterprise-wide transformations (higher end). The most efficient way to get an accurate estimate is to run a short diagnostic—Mercer and similar advisors usually offer an initial assessment or pilot proposal that defines scope, costs, and expected ROI.
Timelines depend on ambition and scope, but a common phased approach is:
- Diagnostic & planning (4–8 weeks): Assess current skills, stakeholder alignment, and target skills list.
- Pilot implementation (3–6 months): Run skills mapping, reward linkage, and a small-scale pilot in one function or geography to test evidence, pay mechanisms, and adoption.
- Scale & integrate (6–18 months): Extend mapping and rewards across divisions, integrate with HR systems, update job architecture, and embed learning programs.
- Full embedding (12–24 months): Cultural adoption, sustained learning, and measurable shifts in internal mobility, hiring costs, and retention. Early measurable outcomes—clearer skills visibility, initial internal redeployments, and pilot learning uptake—often appear within the pilot phase (3–6 months). Broader impacts on hiring costs and retention typically take 9–18 months as programs scale.