Cyprus has unveiled a long-term artificial intelligence strategy aimed at modernising public services while positioning the country as a regional AI hub. The National AI Strategy 2032 outlines plans to strengthen economic competitiveness, improve digital government and build the infrastructure, governance and skills needed to support AI adoption over the next decade.
Rather than treating AI as another digital technology, the government presents it as critical infrastructure supported by investment in regulation, data, computing capacity and talent.
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A Bid To Become A Trusted Eastern Mediterranean AI Hub
By 2032, Cyprus aims to become a trusted AI hub for the Eastern Mediterranean, serving as a bridge between the European Union and neighbouring markets through regulation aligned with European standards.
The strategy cites forecasts projecting the global AI market to grow from $189 billion in 2023 to $4.8 trillion by 2033. For Cyprus, whose economy relies heavily on services, the challenge is to capture the benefits of AI without becoming overly dependent on foreign platforms.
AI Sovereignty And European Compliance
A central pillar of the strategy is what it describes as “AI sovereignty.” Rather than pursuing technological isolation, Cyprus aims to retain control over critical infrastructure, datasets, governance and digital skills while continuing to work with international partners.
According to the roadmap, AI should augment rather than replace people, with high-risk systems remaining subject to human oversight, transparency and safeguards consistent with the EU AI Act and the General Data Protection Regulation (GDPR).
Government As The First Testing Ground
Public administration is expected to lead AI adoption, with the strategy envisioning faster, more personalised and proactive public services. By 2032, the government aims to achieve 75% AI adoption, reduce citizen waiting times by 40%, improve service consistency across ministries and rank among Europe’s top ten countries for digital and AI skills.
Planned initiatives include multilingual AI assistants for citizen services and the Digital Company 2.0 platform, designed to simplify interactions between businesses and the public sector.
Data And Infrastructure
Data governance and computing capacity are identified as key prerequisites for AI adoption. Although Cyprus already has 95.5% fibre coverage and nationwide 5G connectivity, the strategy says fragmented public-sector data and limited AI-ready computing infrastructure remain major challenges.
A government hybrid cloud platform is expected to begin implementation in September 2026, with the first cloud architecture due by December and the migration of three government applications by March 2027.
The infrastructure is intended to support shared AI services, including multilingual communication tools, document processing, identity verification and decision-support systems.
Flagship Projects
The roadmap identifies 16 flagship projects spanning government, healthcare, tourism, public procurement, fraud detection, labour market intelligence, maritime services, financial services, education and entrepreneurship.
Governance And Skills
Implementation would be overseen by a proposed National AI Authority, supported by an interministerial council, specialist committees, a Government Innovation Hub, AI Centres of Excellence and national testing environments.
The roadmap also calls for AI education in schools, specialist training for engineers and civil servants, workforce reskilling programmes and measures to attract international AI talent.
Challenges Ahead
Enterprise AI adoption currently stands at 9.3%, below the EU average of about 20%, while digital skills across the population also lag behind the bloc.
Other challenges include shortages of AI specialists, fragmented public-sector data and limited domestic computing capacity. The strategy draws on Estonia and Finland as examples of successful digital government and public-sector innovation.
A Seven-Year Roadmap
The National AI Strategy 2032 sets out a seven-year programme covering digital infrastructure, regulation, research, workforce development and public services. Its success will depend on effective implementation, institutional coordination and sustained investment.
