Where Your Visions Meet Our Skills.

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Signal volume, by country

How many skill mentions the collected job ads contributed, per country — dot size is volume. Click a country for its leading skill category.

Skills4Circularity job ads. Counts are skill mentions, not unique ads — one ad can mention several skills. Samples are uneven across countries (17 to 192 mentions in this release); read "leading category" as directional, not a statistical ranking (2025).

Observed demand from job ads and declared gaps from surveys, kept as separate signals.

Job ads mentioning English (ESCO)

30.8% (96 / 312)

snapshot

Skills4Circularity job ads · Partner-collected sample; count per unique ad.

Job ads mentioning teamwork principles (ESCO)

29.5% (92 / 312)

snapshot

Skills4Circularity job ads · Count per unique ad.

Job ads mentioning solve problems (ESCO)

19.9% (62 / 312)

snapshot

Skills4Circularity job ads · Count per unique ad.

Moderate-or-higher digital skills gap in the workforce

69.5% (157 / 226)

+9.0 pp vs 2025 (60.5% to 69.5%)

METASKILLS4TCLF · Valid base differs from the total N; independent samples.

Problem-solving named as a gap among graduates

64.9% (61 / 94)

+16.9 pp vs 2024 (48.0% to 64.9%)

AEQUALIS4TCLF · Multi-select question.

AI rated high impact on the future of the sector

60.7% (164 / 270)

+13.4 pp vs 2025 (47.3% to 60.7%)

METASKILLS4TCLF · Part of a four-technology matrix.

Perception indicators only — the harmonised matrix carries no employment or headcount data.

High / very high impact of an ageing workforce

66.7% (180 / 270)

+3.0 pp vs 2025 (63.7% to 66.7%)

METASKILLS4TCLF · Cross-section; 2026 comparable to the 2025 question, independent sample.

Negative / very negative perception of career opportunities by young people

55.6% (150 / 270)

+7.6 pp vs 2025 (48.0% to 55.6%)

METASKILLS4TCLF · Cross-section; independent samples.

Education / training providers that collect industry feedback

76.6% (72 / 94)

+26.6 pp vs 2024 (50.0% to 76.6%)

AEQUALIS4TCLF · Base = providers who answered.

Urgent training needs

Share of valid responses that rate each topic an urgent training need, with the share that finds it relevant.

Skills4Circularity survey. Urgency among valid responses per topic (2025).

Year-on-year change, same instrument

Each line connects two cycles of the same question. The samples are independent — read this as change between snapshots, not a trend line.

Comparisons within one instrument only; independent cross-sections (2024–2026).

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