Hungary stands to capture approximately €15 billion in productivity gains by 2030 if it accelerates artificial intelligence deployment across its economy, according to a McKinsey analysis released this week. The consultancy presented its findings at a Budapest roundtable with senior executives from major Hungarian corporations, emphasizing that strategic AI investment could help the nation narrow its productivity gap with wealthier European neighbours. The opportunity is substantial, yet the window for decisive action may be closing as competing economies race ahead in their own adoption strategies.

The McKinsey assessment carries an implicit warning: Hungary cannot afford complacency. The consultancy cautioned that sluggish AI uptake could widen existing performance gaps between Hungary and its peers across the continent. This dynamic reflects a broader pattern within Central Europe, where post-communist economies have gradually converged with Western Europe but remain vulnerable to technological disruption that could reverse decades of progress. For a middle-income nation seeking to move up the value chain, AI represents both an enormous opportunity and a critical juncture.

Andras Becsei, deputy chief executive of OTP Bank, Hungary's largest lender, offered nuance to the productivity narrative. While artificial intelligence promises to reduce human resources expenses, he cautioned that implementation would likely increase operating costs and capital expenditure simultaneously. This suggests that Hungarian companies cannot simply replace workers and pocket savings; instead, they must invest heavily in new systems, talent, and infrastructure. The transformation will be structural and costly, not merely a matter of trimming payroll. For financial institutions especially, the shift towards AI-driven operations requires simultaneous investment in technology, regulation, and workforce retraining.

Magyar Telekom, the country's dominant telecommunications provider, is already demonstrating tangible results from its AI investments. Deputy CEO Peter Nagy revealed that artificial intelligence agents are handling one-fifth of all customer service calls, with expectations to increase this share significantly. More remarkably, the company has compressed product launch timelines from 90 days to approximately 30 days by deploying AI tools, freeing up roughly half of its network monitoring staff to tackle more complex technical challenges. This reallocation model—using AI to automate routine tasks while shifting human talent towards higher-value work—illustrates how the technology can enhance rather than simply eliminate employment.

Yet scepticism tempers the optimism, particularly within Hungary's pharmaceutical sector. Gabor Orban, chief executive of Richter, one of Central Europe's largest pharmaceutical companies, urged caution about premature expectations. He noted that the pharmaceutical industry has witnessed several waves of transformative technology promises over the past two decades, from genomics to digitalization, many of which have delivered disappointing returns relative to the hype. This measured perspective is important for Hungarian policymakers and business leaders to absorb, as it suggests that not every AI application will generate the productivity dividends McKinsey projects. Implementation details, competitive dynamics, and regulatory frameworks will determine whether the €15 billion figure is realistic or optimistic.

The competitive dimension looms larger than domestic productivity calculations alone suggest. Gergely Bacso, chief executive of Allianz Hungary, articulated a crucial insight: AI adoption is fundamentally a question of global competition, not merely cost containment. American and other multinational corporations can achieve cost savings from AI implementation that dwarf what Hungarian companies can realistically extract from their domestic markets and operations. A U.S. technology firm deploying AI across its global workforce and customer base generates savings many times greater than a Hungarian bank or telecom company confined largely to a population of ten million. This asymmetry creates powerful incentive structures that favour incumbent tech giants while potentially disadvantaging Hungarian enterprises.

The competitive pressure extends beyond simple unit economics. If foreign corporations achieve superior AI-driven productivity and innovation, they can undercut Hungarian competitors on price, quality, and speed to market. Over time, this dynamic risks relegating Hungarian companies to subordinate roles within supply chains controlled by more technologically advanced foreign firms. The €15 billion productivity prize could evaporate if Hungarian businesses lack the scale, capital, and technological sophistication to compete against global leaders who have already moved further along the AI adoption curve.

For Southeast Asian economies observing Hungary's situation, the parallel is instructive. Nations like Malaysia, Thailand, and Vietnam face analogous challenges as they seek to maintain competitiveness against both developed economies and regional rivals. The experience of Hungarian executives suggests that AI adoption requires simultaneous investment in capital, talent development, and organizational transformation—not merely purchasing software or hiring a few data scientists. Moreover, the window for moving from follower to participant in AI innovation is finite. Countries that begin their serious engagement later face steeper competitive disadvantages.

Hungary's policy response will be critical. The government and private sector must coordinate on workforce development, particularly in fields requiring AI expertise. Educational institutions must accelerate their curricula to produce graduates capable of working alongside and managing artificial intelligence systems. Simultaneously, regulatory frameworks need adjustment to encourage innovation without creating unnecessary burden. The €15 billion opportunity is conditional on these investments moving forward rapidly and coherently. Without such coordination, Hungary risks becoming a consumer of AI technology developed elsewhere rather than a participant in its creation and deployment.

The McKinsey analysis ultimately frames artificial intelligence as an accelerant—one that amplifies existing competitive advantages for well-positioned economies while threatening to widen gaps for those falling behind. Hungary's executives understand this dynamic acutely. Their challenge is convincing policymakers and investors that the productivity gains outlined in the report are achievable only if Hungary commits resources and talent to the transition now, before competitors establish insurmountable technological and economic advantages.