The McKinsey study "Prompt Magyarország" estimates that artificial intelligence could unlock roughly €15 billion of automation potential for Hungary by 2030, equivalent to about 6–7 percent of current GDP. McKinsey argues AI can both streamline existing processes and enable new business models and services — provided companies and public institutions integrate the technology quickly and comprehensively.
Why a shift is needed
According to the report, Hungary's previous growth model — driven largely by expanding employment — has reached its limits. By 2025 the employment rate reached 81 percent, and real wages have risen by more than 50 percent since 2008, but further progress can no longer rely solely on increasing work hours or the workforce. Radical productivity improvement is therefore essential for future growth.
Where the economic value lies
McKinsey estimates that more than half of the projected €15 billion value could come from operational, customer service and back-office improvements. In customer relationship management, for example, AI can predict problems and perform billing or troubleshooting tasks via intelligent voice assistants, allowing AI to handle a large share of routine inquiries — potentially up to 60 percent. The McKinsey Global Institute estimates AI could deliver around €2 billion of efficiency gains in domestic customer service by 2030.
Structural barriers
The report underlines several structural obstacles to exploiting AI:
- A large share of domestic value added is concentrated in a small group of large companies, while SMEs — which provide most jobs — have productivity roughly half that of larger firms. Catching up of SMEs is indispensable.
- Many SMEs still invest little in innovation or skills development.
- Skills shortages, a slowly adapting education system and a frequently changing regulatory environment also hinder the transition.
At the same time, Hungary has relatively strong transport and digital base infrastructure — dense motorways, high-capacity internet networks, 5G coverage and digital payment systems. The shortfall is rather in data-center capacity and specific digital infrastructure.
Five strategic steps to deliver value
McKinsey recommends five strategic actions to make AI widely valuable across the economy:
- SME catch-up: provide practical, easy-to-deploy solution packages for smaller firms to reduce the productivity gap.
- Strategic investment in human capital: shift education and retraining toward problem-solving, collaboration and decision-making skills as routine tasks are automated.
- Specialization: rather than competing in global development of base models, build sectoral champions where Hungary already has industrial presence and data assets (e.g., manufacturing, pharmaceuticals, energy).
- Technology-driven public administration: move from reactive case handling to proactive, life-event based services coordinated by intelligent systems.
- Healthcare transformation: focus on prevention and early diagnostics to reduce administrative burdens and improve efficiency.
New operating models and agent-based organizations
The authors stress that organizational change is necessary: traditional siloed structures should give way to agent-based, flatter, expert-centric organizations. In this new division of labor, people direct and decide while AI agents execute many processes. Agent-based software development, for instance, can boost development speed and efficiency by ten to twenty times, while professionals focus on critical decisions and architecture.
Education and digital skills
Only 57 percent of Hungary's population has basic digital skills, below the levels of the most advanced EU members. This suggests continued demand for in-person and phone-based services and a slower digital transition. Targeted digital skills training and continuous reskilling are therefore critical.
Innovation ecosystem and potential AI champions
McKinsey sees potential for strong domestic sector players to become international "AI champions," and for substantial efficiency gains in public administration and healthcare. However, R&D spending and the startup ecosystem are not yet producing a broad base of scale-ups: Hungary has produced a single unicorn above $1 billion in valuation (LogMeIn), a weaker outcome compared with regional peers.
Short-term implications for firms
In the short term, opportunities for Hungarian firms lie less in aggressive headcount reduction and more in increasing per-interaction business value and improving customer experience. McKinsey warns of a generative-AI paradox in IT: many firms use the technology, but few see measurable business impact because they remain at the experimentation stage. Agent-based operation is the path to significant breakthroughs.
Conclusion
The "Prompt Magyarország" study concludes that AI could become a major growth engine for Hungary in the coming decade, with up to €15 billion of automation value by 2030. Realizing that potential requires simultaneous progress on SME modernization, human capital investment, sectoral specialization, technology-enabled public services and healthcare reform, together with organizational transformation and scalable data infrastructure. Without coordinated action, delays in adoption could lock in long-term competitive disadvantage.
