With artificial intelligence omnipresent, Hungary is looking to nurture its growth and utility while ensuring proper regulation and guardrails. In part, this will involve automating “monotonous tasks” and see at least a million Hungarian employees working with AI to deliver productivity growth, according to a Hungary’s government commissioner responsible for AI.
“Hungary’s AI strategy, according to the commissioner in charge, is based on using artificial intelligence to transform work by freeing people from monotonous tasks. The goal is to prepare 1 million Hungarian employees to effectively cooperate with AI to support “development, value creation and social well-being,” said László Palkovics, Hungary’s AI commissioner, in his opening message via an AI avatar at the Portfolio AI & Digital Transformation event, reports the Portfolio portal.
“A global structural revolution is underway, in which data, knowledge and algorithms represent the new economic capital,” he added.
One of the most important objectives of the Hungarian AI strategy is that “technology should not remain an isolated experiment, but be integrated into the fabric of the economy, industry, education and public administration,” the government commissioner responsible for AI told those present.
The biggest challenge of the next decade, he added, will not be the speed of production, but the ability to adapt, in which artificial intelligence plays a key role.
Palkovics explained the Hungarian AI strategy for the period between 2025 and 2030, saying that it is built on data-driven decision-making, an AI-first approach, and responsible innovation. Along these pillars, Hungary will act as both regulator and active developer, creating a balance between sovereignty and international integration, according to Palkovics.
AI is currently making significant breakthroughs in business in production and Industry 4.0, services and customer relations, and managerial decision-making. For Hungarian companies, investing in AI is not a risk, but an opportunity to increase efficiency, reduce operating costs, and reach new markets.
In terms of domestic AI development, Palkovics listed several ongoing projects: the SME Decision-Making Project to support data-based corporate decision-making, the Semantic Interoperability Project to ensure that different government and business databases speak a common language, the EESZT data asset utilization project to enable the processing of health data for research and industrial purposes, and the Hungarian linguistic and cultural model to guarantee digital sovereignty and preserve cultural heritage.
The rapid growth of AI has created new concerns related to data protection, trust, responsibility, and transparency. The Hungarian government and its partners seek to ensure a balance of security, ethics, and reliability. They ultimately want the domestic regulatory environment to help companies, not act as an obstacle.
