National Artificial Intelligence Strategy of Türkiye (2021-2025)

The National Artificial Intelligence Strategy, enacted under Presidential Circular No. 2021/18, is Türkiye's pioneer policy document in this field. The strategy positions artificial intelligence not merely as a technological tool, but as the main engine of economic and structural transformation. The vision is defined as "To generate value on a global scale with an agile and sustainable artificial intelligence ecosystem for a prosperous Türkiye." The strategy positions artificial intelligence not merely as a technological tool, but as the main engine of economic and structural transformation. The vision is defined as "To generate value on a global scale with an agile and sustainable artificial intelligence ecosystem for a prosperous Türkiye.

Innovations and Concrete Targets

• Economic Contribution: Increasing the contribution of AI to the Gross Domestic Product (GDP) to 5%.
• Employment Focus: Creating 50,000 new jobs in the sector and employing at least 1,000 AI experts in public institutions.
• Academic Capacity: Raising the number of graduate-level AI specialists to 10,000.
• Global Competitiveness: Ranking among the top 20 countries globally in international AI indices.
• Trustworthy AI Vision: Ensuring the transition to a "Trustworthy and Ethical AI" approach.

6 Strategic Priorities and Regulatory Areas

1. Human Resources and Employment

Updating AI-focused educational programs and regulating incentives to retain and attract AI researchers.

2. Entrepreneurship and Innovation

Establishing incubation centers for AI-driven tech startups and shifting R&D support mechanisms to this domain.

3. Quality Data and Technical Infrastructure

Creating secure open data portals and facilitating data sharing by introducing anonymization standards compliant with data protection laws.

4. Legal Regulations for Socioeconomic Adaptation

Establishing supervised "Regulatory Sandboxes" where high-risk AI projects can be tested without legal penalty risks, defining legal liability boundaries, and setting up ethical audits.

5. International Cooperation

Taking legal steps to align with cross-border data standard processes in platforms such as the EU, OECD, and G20.

6. Structural and Workforce Transformation

Setting up reskilling and upskilling programs for occupational groups at risk due to automation.