Cyprus's Research and Innovation Foundation is funding a 3-year national AI system, CySKILLS-AI, that fuses fragmented graduate, employer and curriculum data into real-time dashboards for ministries, universities, students and employers, starting with the ICT sector, where over 4
40+ %
Cypriot graduates unable to find work matching their qualifications (pre-project baseline) (pre-project baseline)
Details
Maturity
Pilot
Promoter
Cyprus Ministry of Education, Sport and Youth; Research and Innovation Foundation; CYENS Centre of Excellence; Artemis Intelligence
Period
March 2026 – March 2029 (Phase A: Mar–Nov 2026, ICT sector)
Region (NUTS)
CY00
Keywords
education policy, labour-market intelligence, curriculum planning, government AI
Context
Cyprus's Research and Innovation Foundation is funding CySKILLS-AI, a three-year national AI system launched on 20 March 2026 at the CYENS Centre of Excellence in Nicosia, built to close a documented mismatch in which over 40% of Cypriot graduates cannot find work matching their qualifications even as employers report skills shortages.
Objectives
The project aims to close what its designers call a 24-36 month 'intelligence latency' between labour-market shifts and curriculum change, starting with the ICT sector, where required skills evolve every 12-18 months.
Activities
CySKILLS-AI replaces manual analysis of fragmented survey data (CYGraduates, CYEmployers, EUROGRADUATE) with a three-layer AI architecture — a unified data hub, specialised AI agents for skills-mismatch analysis and forecasting, and role-specific dashboards for the Ministry of Education, higher-education institutions, employers and students. Phase A (March-November 2026) pilots the approach in the ICT sector before wider rollout, funded under the Research and Innovation Foundation's 'AI in Government' programme (grant AI IN GOV'T/0725) and led by host organisation Artemis Intelligence with CYENS Centre of Excellence, the Ministry of Education, Sport and Youth, and the Deputy Ministry of Research, Innovation and Digital Policy.
Conclusions
As a brand-new project, no outcome or impact data exists yet — only the launch announcement and the pre-existing graduate-employer mismatch statistics it aims to address.
Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.
Chile's SAE, built with Universidad de Chile researchers using a Nobel Prize-winning Deferred Acceptance algorithm, matched 274,000+ pre-K–12 students to …