Global Labour Resilience Index 2025 (GLRI): Global Performance Review ▸ Extended Reading of Egypt’s Position ▸ A Practical 6–24 Month Reform Roadmap

As AI rapidly reshapes tasks, skills, and job transitions, measuring “labour-market resilience” becomes a practical competitiveness lens—not an academic exercise. Global Labour Resilience Index 2025 (GLRI 2025) provides a cross-country benchmark focused on whether economies can absorb shocks, adapt, and transform—creating new pathways while reducing displacement risks.

For Egypt, GLRI 2025 is relevant for two reasons: (1) it is a ranking index with state-level results (Rank/Score) across 118 countries, and (2) it explicitly integrates AI into the cyclical resilience model—helping differentiate “short-run operational readiness” from “long-run structural foundations.” The index’s policy value is therefore not “chasing rank,” but using the decomposition to define a sequenced reform program with measurable KPIs over 6–24 months, especially in skills, AI adoption in firms and the workforce, and institutional delivery capacity.

1) Data Card (Official Basics)

GLRI 2025 is an international ranking index produced by Whiteshield (reference to partners: Google; published with CEMS), scoring countries on a 0–100 scale, with methodology details embedded in the official PDF (Appendix).

2) Methodology & Structure (What the Index Measures)

GLRI 2025 is presented as a composite index with multi-level aggregation and results published as both Score (0–100) and Rank. The official report describes a selection process (e.g., 72 indicators chosen from a broader pool) and strict rules for missing data (no imputation; missing values shown as n.a.; potential exclusion if missingness exceeds thresholds).

A. Pillars & Weights (as stated in the official materials)

• Structural pillar: 33% (long-run fundamentals)
• Cyclical pillar: 67% (short-run resilience capabilities across the disruption cycle)
• Within the cyclical pillar: Traditional and AI components (with stated weight splits)
• Disruption-cycle capabilities: Absorptive / Adaptive / Transformative

B. Governance note on time comparison

The report indicates that editions may not be fully comparable over time due to methodological changes. Therefore, ENCC treats any “year-on-year” narrative cautiously unless the official report provides a consistent panel and explicit comparability guidance.

3) Global & Regional Signals (What 2025 Highlights)

A. Global signals

• AI is integrated into the definition of labour resilience, rather than treated as a standalone technology indicator.
• Top of the ranking (as referenced in the provided inputs): USA (77.86), Singapore (77.47), Sweden (74.88).
• The narrative highlights risks of widening gaps as “AI resilience” may reinforce traditional resilience advantages.

B. Regional lens (MENA)

The report provides a regional comparison view including MENA averages (as referenced): 15 countries in the sample, with a regional average score of 45.97, and average ranks shown for structural and cyclical pillars. The key message is regional heterogeneity, particularly across Gulf vs. non-Gulf contexts.

4) Egypt Results (Facts) — As Published in GLRI 2025 Tables

The official GLRI 2025 tables provide Egypt’s results with clear rank/score and pillar-level decomposition (0–100 scale; ranks out of 118). The values below must be read strictly as published (no causal claims).

AI cyclical sub-capabilities (as available)

5) Summary Tables (Mandatory)

Table 1 — Dimension ↔ Sub-dimension ↔ Egypt status ↔ Policy note

Table 2 — Top 3 globally (as referenced in the available inputs)

6) Priority Gaps for Egypt (Top 5)

1. Cyclical resilience gap: weaker cyclical performance relative to structural → prioritize delivery and short-cycle reform levers.
2. Absorptive AI gap: low Absorptive AI → strengthen transition management, labour-market services, and targeted protection.
3. Firm-level AI adoption gap: low cyclical AI score → accelerate adoption with measurable readiness and responsible use frameworks.
4. Skills & transition pathways gap: raise Adaptive AI → demand-linked reskilling pathways, credentialing, and placement outcomes.
5. Transformation & jobs-linked innovation gap: raise Transformative AI → align innovation and entrepreneurship support with job creation pathways.

7) A Practical 6–24 Month Roadmap (with KPIs)

Governance note: No invented baselines. Where national baselines are needed, ENCC records: Baseline: not available in the provided official inputs, and requires official national sources before quantifying starting values.

8) Closing (ENCC Editorial Conclusion)

GLRI 2025 is a useful international reference for reading labour-market resilience in the AI era—provided it is treated as a composite benchmark rather than a causal verdict. For Egypt, the published results indicate a gap between structural foundations and cyclical readiness, with particular sensitivity in “Absorptive AI” capability. These signals do not replace detailed national labour data, but they do help sequence priorities: manage job transitions, accelerate inclusive AI adoption, and build measurable skills pathways.

ENCC’s next step is to use this decomposition as a steering tool: translate the results into a 6–24 month implementation program with clear KPIs and governance, then reassess upon the next GLRI edition—while documenting methodology changes before making any time comparisons.

9) Official References (Primary Links Only)

• Landing (official): https://whiteshield.ai/insights/resilience-of-jobs/whiteshield-google-davos-2025/
• PDF (official): https://whiteshield.ai/wp-content/uploads/2025/02/global-labour-resilience-index-2025.pdf
• Methodology: Not available as a standalone link (embedded in the PDF Appendix)