AI in Hungary could unlock €15 billion productivity gains by 2030, warns McKinsey report

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McKinsey projects AI could boost Hungary's productivity by €15 billion by 2030, helping close the gap with European neighbors. However, lagging adoption risks further divergence. Top executives highlight cost transformation, faster service delivery, and the imperative of global competitiveness to avoid being outpaced by foreign AI adopters.

McKinsey Report Projects Major Economic Opportunity for AI in Hungary

A new McKinsey report reveals that AI in Hungary could unlock €15 billion in productivity gains ($17.42 billion) by 2030, offering the country a significant opportunity to close the productivity gap with European neighbors

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. The consultancy's analysis, discussed during a roundtable discussion with Hungarian executives, presents both a promise and a warning: while AI adoption in Hungary could drive substantial economic benefits, lagging implementation risks widening the economic divergence between Hungary and more advanced European economies

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Source: Market Screener

Source: Market Screener

Hungarian Executives Reveal Real-World AI Implementation Results

Magyar Telekom is already demonstrating what faster service delivery through AI looks like in practice. Peter Nagy, the company's deputy CEO, reported that AI agents are currently handling 20% of customer calls, with expectations for this figure to increase substantially. The telecommunications provider has cut the time to bring new services to market to around 30 days from 90, while reallocating half of its network monitoring staff to more complex operations

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. These concrete metrics illustrate how AI deployment is reshaping operational efficiency in Hungary's corporate sector.

Cost Transformation Rather Than Simple Reduction

Andras Becsei, deputy CEO of OTP Bank, offered a nuanced perspective on the financial implications during the roundtable discussion with Hungarian executives. While AI could curb human resources expenses, he noted it could simultaneously boost operating costs and capital expenditure, meaning the overall impact represents a cost transformation rather than a straightforward reduction

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. This insight suggests companies must prepare for strategic reallocation of resources rather than expecting immediate bottom-line savings.

Source: ET

Source: ET

Skepticism from Pharma Industry on AI Hype

Gabor Orban, CEO of Richter, the pharma industry leader, expressed caution about whether the projected productivity gains can actually be realized. He pointed out that the pharma industry has witnessed several similar technological upheavals in past decades, including genomics and digitization, which have yet to fully deliver on their promises

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. His perspective serves as a reminder that technological potential doesn't always translate directly into economic results.

Global Competitiveness Drives Urgency for AI Adoption

Gergely Bacso, CEO of Allianz Hungary, emphasized that the stakes extend far beyond domestic labor cost considerations. He warned that cost savings for a U.S. company from AI implementation can be several times more than what a Hungarian firm could achieve, making global competitiveness a critical factor . Competition will intensify, and if Hungary does not act decisively, it risks losing market share to foreign players for whom adopting AI is more profitable. This competitive pressure suggests that the €15 billion opportunity could quickly become a liability if Hungary's businesses fail to move swiftly on AI integration, potentially accelerating economic divergence rather than closing existing gaps.

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