What is the QS World Future Skills Index?

The four indicators of the QS World Future Skills Index and their data sources

The supply of skills ready talent

1. Skills Alignment: Matching Supply with Employer Demand

What Skills Alignment measures: How well a country’s graduate skills match employer expectations.

Core data sources

• QS Employer Reputation Survey (2021–2026)  

• Captures employer perspectives on graduate skills and skills gaps

• QS World University Rankings (employer reputation component)  

• Used to weight employer responses by institutional prestige

• World Bank Human Capital Index (HCI+)  

• Provides a macro-level benchmark of education quality, health, and workforce productivity

Sub-indicators assessed:

• 70%: Skills gap indicators (employer-reported gaps by skills cluster)

• Human cognitive skills (problem-solving, critical thinking)

• Human-centred leadership (communication, management)

• Entrepreneurial mindset

• Sustainable and ethical workforce capacity

• 30%: Human capital index (macro baseline)

Why Skills Alignment matters: The Skills Alignment indicator shifts the focus from educational outputs to real-world applicability, testing whether graduates have the capabilities employers actually need, not just qualifications.

2. Academic Readiness: Strength of higher education systems

What Academic Readiness measures: The depth, quality, and future-skills orientation of a country’s higher education system.

Core data sources:

• QS World University Rankings (2026/2027 editions)  

• Institutional quality and global competitiveness

• QS Subject Rankings (2026)  

• Performance across disciplines, including AI, digital, and green fields

• QS Best Student Cities rankings (2026)  

• Attractiveness and global competitiveness of study destinations

Sub-indicators assessed:

• Strength of institutions (number and performance of ranked universities)

• Subject competitiveness across disciplines

• AI, digital, and green education capacity

• Breadth and quality of student cities

Why Academic Readiness matters: Academic Readiness captures whether an economy has the educational infrastructure to generate future skills at scale, particularly in emerging areas like AI and sustainability.

The demand for future talent

1. Future of Work: Readiness for workforce transformation

What Future of Work measures: How ready country's job market is for AI, digital and green transformation.

Core data sources:

• QS AI Workforce Transformation Index (2025)  

• Proprietary QS measure of AI augmentation vs automation risk

• QS jobs and skills data (2023–2025)  

• Identifies demand for AI, digital, and green skills

• ILOSTAT employment data  

• Provides occupational structure and workforce exposure metrics

Sub-indicators assessed:

• 70%: AI Workforce Transformation Index (headline measure)

• 30%: Exposure indicators across:  

• AI-driven job impact

• Digital transformation

• Green transition

Why Future of Work matters: This indicator assesses whether economies will benefit from or be disrupted by technological change, distinguishing between those positioned for augmentation (growth) and those exposed to automation risk.

2. Economic Transformation: Capacity to absorb and deploy Skills

What it measures: The economic conditions that enable countries to convert skills into productivity, innovation, and growth.

Core data sources

• World Bank and IMF (macroeconomic indicators)  

• GDP growth, investment levels

• ILOSTAT (labour market indicators)  

• Unemployment, labour force participation

• UNESCO UIS (education indicators)  

• Tertiary enrolment rates

• World Bank R&D data  

• Innovation investment

• UN Population Prospects  

• Youth demographics

• Yale Environmental Performance Index (EPI)  

• Sustainability and environmental readiness

Key sub-indicators

• Economic Capacity

• GDP growth (3-year average)

• Gross fixed capital formation (absolute and % of GDP)

• Labour productivity

• Workforce Readiness

• Unemployment (inverted)

• Labour force participation

• Higher education enrolment

• Future-Oriented Innovation & Sustainability

• R&D expenditure (% of GDP)

• Youth population share

• Environmental performance

Why Economic Transformation matters: Even with strong education systems, economies must have the investment capacity, labour market efficiency, and innovation ecosystem to create demand for skills and translate them into outcomes.

How the QS World Future Skills Index 2027 is calculated

The methodology follows a transparent, structured approach:

• Four indicators weighted equally (25% each)

• Indicators are standardised onto a 0–100 scale

• Scores are aggregated using a simple arithmetic mean

• Missing data is proportionally adjusted to maintain fairness

This ensures comparability while keeping the framework accessible and interpretable.

What makes this methodology robust

1. Multi-source integration

The index combines:

• Proprietary QS datasets (employer surveys, rankings, jobs data)

• Global benchmarks (World Bank, UNESCO, ILO, Yale EPI)

• Labour market and education signals

This avoids over-reliance on any single dataset.

2. Balance between supply and demand

Unlike traditional rankings:

• Skills Alignment and Academic Readiness measure the supply-side reality and potential

• Future of work and Economic Transformation assess labour market demand now, and in the future

3. Forward-looking indicators

The inclusion of:

• AI transformation metrics

• Digital and green job exposure
  ensures the index reflects future skills, not just current conditions

4. Real-economy grounding

Economic Transformation ensures that:

Skills are not evaluated in isolation, but in terms of their ability to drive productivity and growth

Key takeaway

The QS World Future Skills Index methodology offers a practical lens on an economy's future competitiveness.

On the supply side:

• Skills Alignment asks: are graduates job-ready?

• Academic Readiness asks: can the system produce labour market-aligned talent at scale?

On the demand side:

• Future of Work asks: how will AI impact your economy?

• Economic Transformation asks: can the economy absorb and use those skills?

Together, these indicators create a holistic, data-driven view of how well countries are positioned for an AI-led, skills-first global economy.

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