Artificial intelligence deployment could generate €15 billion [1] in productivity gains for Hungary by 2030 [2].
This potential growth is critical for the nation as it seeks to narrow the productivity gap between its economy and those of its European neighbors. Failure to adopt these technologies could result in a widening economic disparity.
In a report released in Budapest, McKinsey & Company detailed how the integration of AI across various sectors could transform the national economy. The firm estimated that the potential productivity gain of €15 billion [1] is equivalent to approximately $17.42 billion [1].
"Increased deployment of AI could unlock €15 billion in productivity gains in Hungary by 2030," a McKinsey spokesperson said [3].
The report suggests that the window for these gains is tied to the speed of adoption. If the country lags behind in implementing AI tools, the existing gap in productivity relative to other EU nations may increase, creating a risk for long-term competitiveness.
McKinsey highlighted that the gains are not automatic but depend on the scale of deployment. The shift toward AI-driven processes is viewed as a primary lever for economic modernization in the region.
“Increased deployment of AI could unlock €15 billion in productivity gains in Hungary by 2030.”
The McKinsey findings underscore a pivotal moment for Hungary's economic strategy. By quantifying the potential gains at €15 billion, the report frames AI not merely as a technological upgrade but as a macroeconomic necessity to maintain parity with European Union peers. The emphasis on the 2030 timeline suggests that the current window for adoption is critical to avoid a permanent structural disadvantage in productivity.
