On 3 September 2025, the Hungarian Government published its new Artificial Intelligence Strategy for 2025–2030 (Renewed AI Strategy), which it developed with input from government agencies, the Artificial Intelligence Coalition (formed in 2018 and comprising 400 representatives from business, science, and government) and other stakeholders from scientific and business communities.

The Renewed AI Strategy, which will be subject to annual review and adjustment to keep pace with rapid technological and regulatory changes, is based on the following six pillars:

Regulation and security

The main objective of this pillar is to implement EU data and technology regulations and to establish national implementation structures. This primarily includes the following regulatory proposals:

• The development of a framework law on data assets and rules for the use of public data. The role of the Data Assets Agency (NAVÜ) will be strengthened and an institutional framework for joining the European Single Data Space will be created.
• The creation of a legal and ethical code, as well as the establishment of data platforms and test environments (i.e. sandboxes). The Renewed AI Strategy places particular emphasis on fine-tuning the legal framework for AI systems in public administration and state institutions by introducing strict transparency and legal requirements.
• Clearly defining the responsibilities of those involved in AI development and application and tightening requirements for user rights and transparency. The legislation will set out requirements for the registration, documentation, disclosure and human oversight of high-risk AI systems, and require the detection of algorithmic bias through continuous audits and independent checks.

Infrastructure

The core purpose of this pillar is to create and increase adequate computing capacities, establish and maintain a unified national infrastructure, develop coordination tools and reliable marketplaces, create a Hungarian “AI Centre”, ensure the accessibility of national digital datasets, and expand the availability of development tools and test environments.

Education and competence development

Develop the AI competency of broad sections of society by expanding the expert base, expanding the base of data and AI specialists, developers and researchers, helping groups at risk of falling behind in the labour market catch up, and establishing an AI Innovation Centre.

Data economy

Build a data and AI-based ecosystem that promotes the efficient use of public data and enables companies and individuals to participate in the accumulation, utilisation and secondary use of data assets within a transparent and regulated framework.

Research, development and innovation

Create AI research excellence and integrate it into the ecosystem, fine-tune large Hungarian language models, audit them in accordance with the EU AI Act, develop “on-premises” security-critical applications (e.g. law, health care), and examine software security issues in generated programme codes.

Encouraging and developing AI applications

Create an integrated innovation value chain to support experimentation and rapid prototyping.

In addition to these six pillars, the Renewed AI Strategy also identifies three focus areas:

• AI for Technology: creation of AI-based innovation systems and knowledge centres, the establishment of test environments, with a particular focus on the development of automation and autonomous transport, and the strengthening of the agricultural research and development innovation ecosystem.
• AI for Society: implementing automated administration using AI in Hungarian to increase the efficiency of public services, optimising traffic management and contributing to the concept of more sustainable cities, as well as personal competence development programmes in education and health care, digital tools and innovative health care research.
• AI for Business: integrating AI technologies into the operations of SMEs, AI-optimised manufacturing processes, climate change adaptation and precision farming, and expanding the use of predictive AI; and creating more efficient supply chains in logistics.

AI application focus areas

The strategy identifies the following priority sectors for AI adoption:

• Public sector and e-government;
• Law enforcement, defence and national security;
• Taxation and financial processes;
• Health care;
• Smart homes and energy efficiency;
• Sustainable cities and logistics, supply chains;
• Retail and customer service;
• Manufacturing;
• Agriculture.

Supporting SMEs

A major focus will be placed on increasing AI adoption among small and medium-sized enterprises (SMEs), where currently AI use is low. The government will provide:

• Training and mentoring: Targeted programmes to improve the skill of SME leaders and staff in AI and data-driven business models.
• Financial incentives: Providing grants and support for digitalisation and AI projects.
• Pre-configured AI solutions: Industry-specific starter packages, open-source libraries, and low-code/no-code platforms to lower the barrier to entry.

Because the Renewed AI Strategy emphasises that the achievement of its objectives will be based on strong market cooperation and partnerships, private sector actors must be familiar with the pillars, objectives and focus areas of the Renewed AI Strategy.

Original article   l   KeyFacts Energy Industry Directory: CMS  l   KeyFacts Energy: AI news