ECB Chief Warns Europe Risks Jeopardizing Its Future by Lagging Behind in AI Adoption

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European Central Bank President Christine Lagarde warns that Europe's delay in embracing artificial intelligence could jeopardize the continent's future competitiveness, urging swift removal of regulatory and infrastructure barriers that hinder AI adoption compared to the US and China.

ECB Chief Issues Stark Warning on Europe's AI Competitiveness

European Central Bank President Christine Lagarde delivered a sobering assessment of Europe's artificial intelligence landscape on Monday, warning that continued delays in AI adoption could "jeopardise" the continent's future competitiveness. Speaking at a conference in Bratislava, Slovakia, Lagarde emphasized the urgent need to remove barriers preventing widespread AI deployment across European industries

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Source: Market Screener

Source: Market Screener

"We need to remove all the obstacles that stop us from embracing this transformation," Lagarde stated. "Otherwise we risk letting the wave of AI adoption pass us by and jeopardise Europe's future"

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. The ECB chief's comments reflect growing concerns that Europe is falling behind global AI leaders, particularly the United States and China, where firms are investing heavily in artificial intelligence technologies.

Europe's Late Start in the AI Race

Lagarde acknowledged that Europe has "already missed the opportunity to be a first mover in AI," positioning the continent as a latecomer in the global artificial intelligence competition

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. However, she maintained that if Europe deploys AI technology decisively across key industries, "Europe can turn a late start into a competitive edge"

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Source: France 24

Source: France 24

The ECB president drew parallels to previous technological transformations, noting that Europe "still bear[s] the costs of having been slow adopters during the last digital revolution"

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. Unlike past technological waves, Lagarde emphasized that AI could spread faster and deliver tangible economic gains sooner, making swift action more critical for the 27-nation European Union.

Infrastructure and Regulatory Barriers

Lagarde identified several specific obstacles hindering Europe's AI adoption, ranging from fragmented regulations to prohibitively high energy costs that make operating large-scale data centers expensive

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. Bureaucratic hurdles, including delays in obtaining permits for data center construction, further complicate efforts to rapidly expand the region's computing infrastructure.

The scale of Europe's infrastructure deficit is stark. According to a recent study by German digital business association Bitkom, European data centers possessed computing capacity of just 16 gigawatts as of last year, compared to 48 gigawatts in the United States and 38 gigawatts in China

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. This significant gap in computational resources represents a fundamental challenge to Europe's AI ambitions.

EU Regulatory Response and Privacy Concerns

In response to mounting pressure from businesses and governments concerned that regulations are hampering digital sector growth, the European Union last week proposed rolling back key AI and data privacy rules . The proposed changes aim to reduce regulatory barriers that critics argue are hobbling the digital sector and limiting economic growth.

However, privacy advocates have expressed strong opposition to these proposed modifications, arguing they would weaken essential safeguards protecting Europeans' personal data

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. This tension between promoting innovation and maintaining privacy protections represents a key challenge for European policymakers seeking to balance competitiveness with consumer protection.

Strategic Independence and Supply Chain Diversification

Lagarde emphasized the importance of reducing Europe's dependence on foreign technology providers, particularly given the continent's current reliance on US tech giants. "We must diversify critical parts of the AI supply chain and avoid single points of failure," she stated, advocating for maintaining minimum capacity in foundational layers such as compute capacity based on chips and data centers

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The ECB president warned that simply purchasing AI solutions from established providers would not suffice, as this approach would deepen Europe's strategic dependencies rather than reduce them. "If our data spaces use technology stacks that are owned and governed outside Europe, we deepen -- rather than reduce -- our strategic dependencies," Lagarde cautioned

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