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Hungary leads Visegrád in generative AI use but faces challenges turning it into economic gains

According to Microsoft’s Global AI Diffusion report Hungary ranked 20th worldwide in generative AI adoption in Q2 2026, with 33.3% of its 15–64 population using generative AI tools — the highest among Visegrád countries.

Hungary leads Visegrád in generative AI use but faces challenges turning it into economic gains

Microsoft’s Global AI Diffusion report places Hungary 20th worldwide for generative AI adoption in the second quarter of 2026. According to the study, 33.3% of Hungary’s 15–64-year-old population used a generative AI solution in that quarter, the highest share among the Visegrád countries.

  • In Poland 32.3% of the working-age population used generative AI, in the Czech Republic 31.2%, and in Slovakia 27.1%.

Despite leading the regional ranking, Hungary dropped one spot in the global list, from 19th to 20th. The report attributes this shift in part to Taiwan increasing its AI usage by two percentage points and overtaking Hungary. The United States also recorded rapid growth — a 1.7 percentage-point rise — leaving the US indicator just 0.3 percentage points behind Hungary.

Internationally, adoption remains uneven: globally 18.8% of the working-age population used generative AI in June 2026, roughly a one percentage-point increase from the first quarter. The United Arab Emirates tops the ranking with 73.3% usage, Singapore is second at 64.3%, and Ireland rose to third place. France ranks fourth, while Norway slipped from third to fifth.

The report also notes the widening divide between more and less developed regions: the northern country group showed 28.8% usage versus 16.2% in the southern group, increasing the gap from 12.1 to 12.6 percentage points quarter-on-quarter.

High adoption does not automatically equal economic benefit

Microsoft stresses that widespread AI use alone does not indicate how much a country will economically benefit from the technology. A high share of users does not necessarily translate into measurable productivity gains or better business decisions.

The Microsoft Work Trend Index for 2026, based on responses from 20,000 AI-using employees across ten countries, highlights that organizational factors — corporate culture, leadership support and talent management — show a more than twofold stronger correlation with employees’ perceived impact of AI than individual attitudes and behaviors. This implies that implementing AI is not sufficient by itself: companies must rethink processes and job designs, and create new incentives and performance metrics to truly capture AI’s value.

The survey also identified a so-called transformation paradox: 65% of respondents fear falling behind if they do not adapt quickly to AI, yet 45% feel safer sticking to existing tasks rather than fundamentally reshaping their work with AI. Only 13% feel their workplace would recognize AI-driven innovations even if those innovations fail to deliver the expected results.

The real challenge for Hungary is organisational change and training

Barbora Paulovic Deckerova, President for Microsoft Central Europe and Central Asia, said Hungary is experiencing rapid growth in AI use, but going forward gains will not primarily come from increasing user numbers. The key task for companies will be transforming current workflows, developing employees’ skills and modernizing corporate governance.

She added that the education system also needs a mindset shift: AI should support learning, critical thinking and teachers’ work, not just provide faster answers.

Industry impact: advertising production as an example

The report and industry experts point to concrete ways AI is changing sectors. In advertising production, traditionally resource-intensive campaigns can see production costs cut by 50–70% with AI, and simpler videos can be produced for a fraction of traditional prices. Experts speaking to Világgazdaság argued that the entire advertising profession could be reshaped: demand for some roles may fall sharply while new skills become valuable.

Conclusion

Hungary starts from a favourable position within the Visegrád group in terms of generative AI adoption, but sustaining that lead and turning it into economic value will require more than growing user numbers. The decisive question is whether Hungarian companies and workers can integrate AI into operations in ways that drive genuine productivity increases and value creation.