What is the Cyprus National AI Strategy?

A national plan setting out how Cyprus will use artificial intelligence between now and 2032 — in government services, in business, and in the skills people are taught. Its stated ambition is to make Cyprus the most trusted place in the Eastern Mediterranean to build and run AI, and a dependable EU country to do AI business with.

Why does Cyprus need one?

Because AI is arriving whether or not the country plans for it. Cypriots are already among the heaviest users in Europe, but public data and computing power are scattered across ministries, and there are too few people who can turn an AI demo into a working national system. The strategy is an attempt to get ahead of that rather than react to it.

Who would actually run it?

Four levels. A National AI Council sets direction, approves priorities and holds the strategy accountable at the highest level of government. A National AI Taskforce coordinates delivery across ministries, removes blockers and drives the national implementation roadmap. AI Officers sit inside each ministry and major agency to lead adoption on the ground, manage risk and translate strategy into day-to-day operations. Sector working groups of domain experts write the roadmap, use cases and ambitious projects for each priority area.

Eight sectors, led by government services, financial services and healthcare — the three where AI has the most to change and the most to get wrong.

How will anyone know if it worked?

Six measures, tied to four headline numbers: productivity, GDP contribution, people trained, and how widely AI is actually used across the economy. The strategy is explicit that announcements without measured results don't count.

National strategy · 2025 – 2032

Cyprus National AI Strategy 2032

Cyprus has a plan for artificial intelligence. Here's what's in it.

A national strategy for how Cyprus adopts AI by 2032 — across government, business, healthcare and schools. This site explains it in plain language, section by section, with the numbers it will be judged against.

Start here Why this matters now Download the full strategy (PDF)

Cyprus AI, in short

Start here

Four questions, answered before anything else.

What is the Cyprus National AI Strategy?: A national plan setting out how Cyprus will use artificial intelligence between now and 2032 — in government services, in business, and in the skills people are taught. Its stated ambition is to make Cyprus the most trusted place in the Eastern Mediterranean to build and run AI, and a dependable EU country to do AI business with.
Why does Cyprus need one?: Because AI is arriving whether or not the country plans for it. Cypriots are already among the heaviest users in Europe, but public data and computing power are scattered across ministries, and there are too few people who can turn an AI demo into a working national system. The strategy is an attempt to get ahead of that rather than react to it.
Who would actually run it?: Four levels. A National AI Council sets direction, approves priorities and holds the strategy accountable at the highest level of government. A National AI Taskforce coordinates delivery across ministries, removes blockers and drives the national implementation roadmap. AI Officers sit inside each ministry and major agency to lead adoption on the ground, manage risk and translate strategy into day-to-day operations. Sector working groups of domain experts write the roadmap, use cases and ambitious projects for each priority area.
Where does it start?: Eight sectors, led by government services, financial services and healthcare — the three where AI has the most to change and the most to get wrong.
How will anyone know if it worked?: Six measures, tied to four headline numbers: productivity, GDP contribution, people trained, and how widely AI is actually used across the economy. The strategy is explicit that announcements without measured results don't count.

Part 01

Why now

The strategy exists because of a gap between how fast Cypriots are adopting AI and how ready the country is for it.

Cypriots are not waiting for permission. Around half the population already uses generative AI tools, and among 16- to 24-year-olds the figure reaches 76.5% in 2025 (Eurostat) — putting Cyprus near the top of the EU for everyday use.

The institutions have not moved at the same speed. Government data sits in separate systems that don't talk to each other. Computing power is fragmented across departments. And the country has too few people who can take an AI pilot and turn it into something that runs reliably at national scale.

That gap is the reason for the strategy. Left alone, it produces a country where AI is used widely but built elsewhere, governed loosely, and captured mostly as consumer convenience rather than national productivity. The strategy's argument is that Cyprus has a narrow window — roughly the next three years — to close it while the European rulebook is still being written and while small, fast, well-regulated countries can still stake out a position.

44.2%of people aged 16–74 in Cyprus used generative AI tools in 2025 (Eurostat)

76.5%of Cypriots aged 16–24 used generative AI tools in 2025 (Eurostat)

8Priority sectors for national transformation

2032The deadline the whole plan is set against

Part 02

The plan

What Cyprus is betting on, the outcomes it commits to, and the sectors it will transform.

What Cyprus is betting on

Five principles that shape every decision downstream.

The pillars of the vision

Keeping control of the essentials

Cyprus owns and controls the layers that matter: national computing capacity, the rules governing who can use public data, the core skills base, and the independent body that checks AI systems are safe and lawful.

Doing a few things well

Concentrate effort where AI raises productivity fastest, rather than spreading thinly across everything. Being small and EU-aligned is treated as a speed advantage, not a limitation.

AI that works with people, not around them

Systems designed to make people better at their jobs while keeping human judgement, human oversight and clear lines of accountability intact.

AI as an economic engine

Treating AI as infrastructure for growth and competitiveness — the same way a country treats roads, ports or broadband — not as a technology project.

Trustworthy by design

AI systems that can be explained, audited and understood — built to comply with EU law and responsible AI practice from the start rather than retrofitted afterwards.

Horizon

From launch to leadership

2025

Governance & foundations

2028

Scaled sector adoption

2032

Trusted regional AI hub

Where it starts

Eight sectors, ranked by how much AI stands to change them — and how carefully it has to be done.

Government & public sector
The largest single opportunity and the strategy's proving ground.
Critical
Healthcare & life sciences
Highest potential gain, highest requirement for safety and governance.
Critical
Financial services & fintech
A regulated sector where EU-aligned AI is a commercial advantage.
High
Tourism & hospitality
Cyprus's largest private employer, and an early candidate for visible gains.
High
Legal services
Document-heavy professional work where AI changes the economics quickly.
Strategic
Shipping & maritime
A sector where Cyprus already has global weight to build on.
Strategic
Education & human capital
Underpins every other sector; without it nothing else scales.
Universal
Entrepreneurship & innovation
The pipeline that turns research into companies.
Emerging

Who runs it

Four levels, from cabinet-level direction down to the person in each ministry who actually makes it happen.

Level 1

National AI Council

Sets direction, approves priorities

Level 2

National AI Taskforce

Coordinates delivery across ministries

Level 3 · AI Officers

FinanceHealthEducationInteriorJusticeDigital

Level 4 · Sector working groups

GovernmentHealthFinanceTourismLegalShippingEducationInnovation

What it aims to achieve

Five outcomes the strategy is written to produce.

A country others trust with AI

International recognition of Cyprus as an EU-aligned, values-driven place to build and buy AI-enabled services.

A more productive economy

Faster, responsible adoption of AI in the sectors where it moves national output and competitiveness most.

Capability Cyprus owns

National computing capacity, governed access to data, independent assurance, and a core base of skilled people — all under Cypriot control.

Public services that work better

Public administration that is faster, fairer and more transparent for citizens because of AI, not despite it.

A real ecosystem

Startups, researchers, testbeds and partnerships that make Cyprus a launchpad for AI companies serving Europe.

What gets created

The specific bodies, systems and funding pots the strategy proposes. This is the part that costs money and takes legislation.

New institutions

National AI Authority

An independent national body responsible for delivering the strategy, setting standards, and checking that AI systems meet them.

Interministerial AI Council

Coordinates AI adoption across ministries and unblocks work that spans more than one department.

AI Officers

Named people inside every ministry and priority agency, accountable for adoption and for managing risk.

Centres of Excellence

Concentrations of national expertise and applied research in AI, industrial AI and cybersecurity.

New platforms

National computing capacity

Computing power owned by Cyprus, available to government, researchers and strategic projects.

Government data and API layer

A shared, governed way for public systems to exchange data — replacing today's disconnected databases.

Government Innovation Hub

A delivery team that actually builds, tests and rolls out AI systems inside government, rather than only writing policy about them.

National Health Data Repository

A governed foundation of clinical and health data that AI in healthcare and life sciences can be built on safely.

National Registry of AI Systems

A public list of every AI system in use across the public sector, so citizens can see what is being used on them.

Regulatory sandboxes and certification

Controlled environments where companies can test AI legally before launch, plus national certification for high-impact systems.

New funds

National AI Research Fund

Backs frontier and applied research in Cypriot universities and labs.

AI Innovation Fund

Capital for startups, scale-ups and industry partnerships turning research into products.

AI Adoption Fund

Co-funds adoption in small and medium businesses — closing the gap between a promising pilot and something running in production.

The numbers it will be judged against

Four commitments. Everything else on this page exists to deliver these.

15%

productivity uplift15% more national output per worker than Cyprus would have reached on its current path by 2032. [VERIFY: baseline definition and measurement method]

12%

additional GDPAn extra 12% of economic growth attributed specifically to AI transformation, on top of the growth that would have happened anyway. [VERIFY: baseline year and method]

3,000+

AI professionalsThree thousand people trained in or attracted to Cyprus by 2032 — engineers, data scientists, compliance specialists, AI Officers and sector practitioners.

75%

industry adoptionThree quarters of Cypriot businesses using AI in a real, operational way by 2030 — two years ahead of the strategy's final deadline.

Part 03

How it works

The institutions, foundations and European alignment that make delivery possible.

What has to be built

Six foundations. If these aren't in place, nothing above them works.

P.01

Data the country can actually use

Rules and systems that let public data be accessed safely and lawfully. Data is the raw material of every AI use case; today most of it is locked in separate systems.

P.02

Computing power under Cypriot control

National computing capacity for public services, research and sensitive workloads, so critical systems don't depend entirely on infrastructure outside the country.

P.03

People who can do the work

AI skills taught across schools, universities, executives and public servants — from basic literacy to the specialists who build and run systems.

P.04

Research that turns into products

Universities, startups, testbeds and long-shot research programmes, connected to each other and to funding.

P.05

Rules that protect people

Human oversight, transparency, fairness testing and safeguards on systems that make high-impact decisions about people's lives.

P.06

Staying inside the European system

Alignment with the EU AI Act and GDPR, and participation in European computing, data and AI initiatives.

Turning EU rules into an advantage

Most countries treat AI regulation as a cost. This strategy treats it as the product.

The EU AI Act, GDPR and NIS2 impose real obligations on anyone building AI for regulated industries. The strategy's argument is that a small country that gets very good at meeting those obligations becomes valuable precisely because the obligations are hard.

If a hospital system, a bank or a government department needs AI that will survive European scrutiny, it needs somewhere to build, test and certify it. Cyprus proposes to be that place: inside the EU, small enough to move fast, and set up specifically to prove that AI systems are safe before they go live.

EU AI Act

Europe's rulebook for AI, with stricter obligations the more consequential the system. Cyprus aligns to it rather than writing a competing set of rules.

GDPR and data protection

Access to personal data is governed by rules with real rights and safeguards for citizens attached.

European AI infrastructure

Connection into shared European computing capacity, data spaces and cross-border AI programmes.

Responsible AI guardrails

Human oversight, transparency, fairness testing, bias monitoring and accountability designed in from the start.

What the strategy admits

Unusually for a government document, it names its own weak points. That's worth taking seriously.

Risk 01

The data and infrastructure are fragmented

Government data, data centres and computing power sit in separate silos today. Nothing at national scale works until that is fixed, and fixing it is slow, unglamorous work.

Risk 02

There aren't enough specialists

Too few people in Cyprus can take an AI pilot and turn it into a resilient system that runs at national scale. Training them takes years; attracting them means competing with much larger markets.

Risk 03

The temptation of AI theatre

The strategy explicitly rejects announcement-driven AI with no measurable result. Every initiative is required to have a number attached and a named person accountable for delivering it.

“No more AI theatre.” Every initiative ties to a KPI and a delivery owner.

The first 100 days

Six moves that have to happen immediately, or the rest slips by a year.

01Formally adopt the strategy and launch it publicly
02Stand up the National AI Council and Taskforce
03Appoint AI Officers across ministries and priority agencies
04Publish the roadmap for each of the eight priority sectors
05Launch the first national testbeds and the computing capacity programme
06Begin national AI literacy training and public-sector upskilling

Part 04

How we'll know

The delivery cadence through 2032 and the measures Cyprus is judged against.

The timeline

Four phases, eight years. Each phase has to finish before the next one makes sense.

20252026202720282032

Phase 012025 – mid-2026
Set up the machinery
Create the AI Authority, the Interministerial Council and the AI Officers. Begin buying the first six major AI systems for government.
Phase 022026 – 2027
Build the foundations, run the pilots
Deploy national computing capacity and the government data layer. Every ministry identifies five high-impact uses for AI. National skills programmes begin.
Phase 032027 – 2028
Scale what worked, measure it honestly
Take successful pilots across ministries and lead sectors. The national registry and certification system go live. Results are measured against the starting baseline.
Phase 04Through 2032
National expansion
Cyprus operates as the trusted AI hub of the Eastern Mediterranean, adjusting the strategy continuously against measured results.

Phase 012025 – mid-2026
Set up the machinery
Create the AI Authority, the Interministerial Council and the AI Officers. Begin buying the first six major AI systems for government.
Phase 022026 – 2027
Build the foundations, run the pilots
Deploy national computing capacity and the government data layer. Every ministry identifies five high-impact uses for AI. National skills programmes begin.
Phase 032027 – 2028
Scale what worked, measure it honestly
Take successful pilots across ministries and lead sectors. The national registry and certification system go live. Results are measured against the starting baseline.
Phase 04Through 2032
National expansion
Cyprus operates as the trusted AI hub of the Eastern Mediterranean, adjusting the strategy continuously against measured results.

How progress is measured

Six indicators, reported against the four headline numbers above.

AI adoption

Two measures, tracked separately: the share of ministries and public agencies running AI in live services rather than pilots, and the share of Cypriot businesses using AI operationally — the latter targeting 75% by 2030.

Productivity gains

Measured contribution to GDP from AI in the priority sectors, over and above the baseline growth trajectory.

Investment attracted

Foreign direct investment flowing into AI, data and computing infrastructure in Cyprus.

People trained

Progress toward 3,000+ AI professionals by 2032, tracked by role and sector.

Computing capacity

National computing power available to public services, research and strategic projects.

Reputation

Recognition across EU and regional markets as a country that can be trusted with AI.

Plain-language glossary

The terms this strategy uses most, translated once.

Sovereign compute: Computing power owned and controlled by Cyprus, rather than rented from providers based elsewhere.
Governed data access: Clear rules about who can use which public data, for what purpose, and with what safeguards.
AI assurance: Independent checking that an AI system does what it claims, safely and lawfully, before and after it goes live.
Regulatory sandbox: A controlled environment where a company can legally test an AI system in real conditions before launching it.
High-impact / high-risk AI: Systems that make consequential decisions about people — credit, hiring, medical triage, benefits. These carry the strictest obligations under EU law.
EU AI Act: Europe's law on artificial intelligence. Obligations scale with how much harm a system could cause.
Testbed: A shared facility where new AI systems can be trialled against realistic data and conditions.
Moonshot: A deliberately ambitious, high-risk research project with a large potential payoff.
Generative AI: AI that produces new content — text, images, code — rather than only classifying or predicting. The category most people have used.
AI literacy: The skills and judgement people need to use AI tools well, spot mistakes, and understand what the technology can and cannot do.

Read the full strategy

This site is a summary. The official document contains the full detail — the legal basis, the funding assumptions and the complete sector roadmaps. If you work in one of the eight priority sectors, that's where to go next.

Download the full strategy (PDF)Back to the top