"Airbus of AI" wanted: How Europe once proved it could be done – and why it isn't learning the lesson

The Airbus Paradox: Why Europe was bold in flying – and is failing miserably in AI

First ridiculed, then a world power: Why Europe urgently needs an “Airbus of AI” now

In the 1970s, Europe dared the seemingly impossible: with the founding of Airbus, a consortium initially ridiculed took on the dominant US aerospace industry – and, through industrial courage and perseverance, rose to become the world market leader. Today, half a century later, the continent faces an even greater, far more urgent challenge. In the digital world, in cloud computing and artificial intelligence, Europe has become dangerously dependent on American and Asian tech giants. While the EU is debating data protection and regulations like the AI ​​Act in detail, other nations are already creating faits accomplis through massive infrastructure investments. Why do initiatives like Gaia-X fall short? What lessons must we learn from Airbus's historic success for the digital age? This is an in-depth analysis of Europe's dwindling digital sovereignty, the legal risks of US-dominated clouds – and the structural courage that is now essential to avoid being definitively left behind as a technology hub.

The Airbus Paradox: Europe's courage to fly – and its cowardice in the digital realm

From laughingstock to world market leader: The birth of an industrial miracle

On December 18, 1970, representatives of the French company Aérospatiale and the German companies Vereinigte Flugtechnische Werke and Messerschmitt-Bölkow-Blohm signed the founding agreement in Paris for a consortium that would permanently transform civil aviation. The reaction in the USA was unequivocal: ridicule, skepticism, and the nonchalant shrug of an industry that considered itself secure. At that time, Boeing, Lockheed, and McDonnell Douglas virtually dominated the global market for commercial aircraft, with Boeing alone holding a market share of over 60 percent. The European manufacturers were considered individually too small, too fragmented, and hopelessly undercapitalized to play any role in this competition.

The Airbus Industrie consortium was a political project from the outset, not merely a business venture. It arose from the shared realization that no single European country would be able to raise the billions in start-up capital needed to compete against the established American giants. France and Germany each contributed roughly half of the initial budget; Spain joined later, and finally, in 1979, Great Britain, along with British Aerospace, came on board. The first aircraft, the A300, took to the skies for its maiden flight in October 1972 – a technologically compelling demonstration that the concept worked. However, economic acceptance took years to materialize.

What followed was not a straightforward triumph, but a decades-long struggle. Airbus lost money, received government support, faced accusations of subsidies from Washington, and fought for every market share, model by model. The US complained to the World Trade Organization about illegal subsidies – an argument that seemed remarkable in light of its own practices, as an independent study later proved that Boeing and McDonnell Douglas had received $23 billion in direct and indirect government aid over the past decades, without which, according to the experts, they would both have had to withdraw from the aviation business.

Five decades of industrial patience: What became of the ridiculed consortium

The economic case study of Airbus is unique in its scale in post-war European history. In 2024, the Airbus Group generated total revenue of approximately €69.23 billion – an increase of 5.8 percent compared to the previous year. The Commercial Aircraft segment alone, i.e., the civil passenger aircraft division, contributed over €50.65 billion, representing around 73 percent of the group's revenue. In 2025, Airbus delivered a total of 793 commercial aircraft and received new orders for over 1,000 jets – compared to 600 deliveries by Boeing, which, however, led in the number of new orders with 1,150.

The company's order backlog recently comprised over 8,600 aircraft. At the current delivery rate, this equates to a delivery range of more than ten years – a cushion that secures competitiveness for decades to come. Between 2021 and 2024, Airbus achieved record profits, and since 2019, the European manufacturer has surpassed Boeing in annual deliveries. The corporation, once ridiculed as barely viable, is today what its founders never dared to hope for: the world's number one in civil aviation.

What makes this story so remarkable is not the end result – becoming a global market leader is not a one-off achievement, but a process – but the path to get there. It required political will across changes of government and over decades, initial government funding that resisted short-term pressures for returns, and the willingness of several sovereign nations to subordinate their national egos to a common goal. In the history of European cooperation, there is hardly a second example of comparable industrial power.

The convenient void: Where Europe stopped thinking

Anyone who sees the Airbus success story as a blueprint inevitably faces an uncomfortable question. While Europe mustered the strength in aviation to challenge and overcome overwhelming American dominance, it hasn't even attempted a serious structural response in the digital age. The infrastructure on which Europe's digital life now runs is so heavily American-controlled that analogies to aircraft manufacturing in the 1960s seem strikingly apt.

The figures are soberingly precise. The European cloud computing market reached a volume of approximately €61 billion in 2024. Amazon Web Services, Microsoft, and Google together hold around 70 percent of this market. The market share of European providers fell from 29 percent to 15 percent between 2017 and 2022 – and has stagnated at this level ever since. Even the strongest European players in this field, SAP and Deutsche Telekom, each achieve a market share of just two percent. OVHcloud, Telecom Italia, and Orange operate in regional niches, unable to achieve pan-European relevance.

The situation is no better in the field of artificial intelligence. According to an analysis by the economic research institute of the financial services provider Allianz, over 80 percent of critical digital technologies in Europe depend on non-European providers. US corporations control up to 40 percent of the computing power available in Europe and almost half of the planned data center capacity. US providers also hold a 59 percent share of European revenue in enterprise software, and a staggering 73 percent in customer relationship management (CRM) software. The EU plays a de facto modest role in the global AI value chain – thus granting the region hardly any strategic leeway.

The CLOUD Act and the sleeping sovereign: Legal dependency as a security risk

Behind the market-economic dimension lies an even more pressing one: legal and security-related vulnerability. The US CLOUD Act (Clarifying Lawful Overseas Use of Data Act) grants US authorities the right to access data managed by US companies—regardless of where that data is physically stored. In practice, this means that even data located in a data center in Frankfurt, Amsterdam, or Paris can be subject to a US government request, provided the infrastructure is owned or controlled by an American corporation. This access does not require a full court ruling—a government warrant is sufficient.

A legal opinion from the University of Cologne, commissioned by the German Federal Ministry of the Interior and published in December 2025, confirms the scope of this regulation with complete legal precision. According to the opinion, the Stored Communications Act and FISA Section 702, in particular, allow US authorities to compel cloud providers to disclose data, even if the data is stored within the EU. The decisive factor is not the storage location, but the controlling relationship between the European operator and its US parent company. Even purely European companies could therefore be affected if they maintain relevant business connections in the USA.

Since the European Court of Justice rulings Schrems I (2015) and Schrems II (2020), which invalidated both Safe Harbor and Privacy Shield because US surveillance laws prevented effective data protection, it should have been clear to everyone where things were headed. However, the political response was lacking: Europe discussed, negotiated new agreements, drew boundaries on paper – and in the meantime, further expanded its digital dependence on the same US providers whose legal status is so clearly problematic. Microsoft cannot guarantee that European data is safe from US government access – a Microsoft manager himself admitted this. The political consequences of this were hardly drawn.

Mistral, Aleph Alpha and the limits of European AI champions

It would be dishonest to dismiss all substance from European attempts to build their own AI industry. The French company Mistral AI has achieved remarkable development success in a short time and raised around €500 million from prominent investors. CEO Arthur Mensch reports growing interest from European companies in partnering with local AI providers. The German company Aleph Alpha, long considered a promising candidate for a sovereign European AI foundation model, abandoned its initial ambition in the fall of 2024 to compete in the global race for the most powerful base model. Instead, the Heidelberg-based company underwent a strategic realignment towards a platform that integrates various AI models and enables industry-specific solutions for German SMEs.

This realignment is understandable from a business perspective. However, it illustrates the core problem: Europe doesn't lack engineers, researchers, or entrepreneurial spirit. What it lacks is the kind of industrial policy resolve and willingness to invest capital that would be necessary to seriously compete in a global oligopoly. While OpenAI, Anthropic, and Google DeepMind raise billions and access data center capacity that no European institution even remotely controls, European players are struggling for visibility in niche segments. The EU Commission has been aware of this problem for years: According to the Allianz study, Europe suffers from a double deficit – too little private venture capital and a fragmented public funding policy.

The political closeness between governments and European AI startups, which Lobbycontrol investigated in connection with the AI ​​Act, points to a further ambivalence: France's government is close to Mistral AI, Germany to the company Aleph Alpha – connections that, on the one hand, signal strategic awareness, but on the other hand, raise the question of whether government funding is truly channeled according to economic relevance or political affiliation. The ability to create an Airbus – that is, to pursue a pragmatic, long-term industrial policy spanning election cycles – should not be confused with the ad hoc protection of a startup ecosystem.

Gaia-X and the infrastructure illusion: Sovereignty on paper

The most striking institutional instrument that Europe has developed in the past decade in the fight for digital sovereignty is the Gaia-X initiative. It originated from an idea by the then German Minister for Economic Affairs, Peter Altmaier, and his French counterpart, Bruno Le Maire, was presented at the Dortmund Digital Summit in 2019, and aims to create a federated, secure data infrastructure for Europe. The goals are ambitious: data sovereignty, transparency, interoperability, compliance with European legal values ​​– and the gradual phasing out of dependence on non-European providers.

The problem is structural. Gaia-X is not an operator, but a standards-setter. It defines rules and certification frameworks, but does not build its own cloud infrastructure. Anyone offering data within the ecosystem is subject to common interoperability standards – but Gaia-X has long failed to adequately differentiate between a European SME and a certified subsidiary of AWS. This was precisely one of the most significant criticisms: American hyperscalers can also offer Gaia-X-compliant services as long as they meet the technical requirements. The project, intended to make Europe more independent, is being shaped by the very companies from which it sought to become more independent.

The data center in Brandenburg, celebrated in 2026 under the label "European Sovereign Cloud," illustrates the dilemma particularly precisely. Behind the project is AWS, a subsidiary of Amazon. The servers are located in Europe, oversight is the responsibility of European authorities, and operators assure that US access to the system is impossible. Yet even AWS's own managers cannot rule out what the Cologne legal opinion confirms: as long as the parent company is based in the US, avenues of legal recourse remain open. True digital sovereignty, the uncomfortable conclusion of this debate goes, cannot be achieved through contractual assurances from American corporations. It requires European ownership of the infrastructure itself.

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What Airbus really taught us: Industrial policy as strategic patience capital

The economic lesson from the Airbus story is not a simple one. It is not: subsidize companies and they will grow. More precisely, it is this: in markets with high barriers to entry, extreme economies of scale, and political-strategic dimensions, the market as the sole allocation mechanism is structurally overwhelmed. No private investor would have invested in a consortium in 1970 that took 15 to 20 years to become profitable. This is precisely the argument for strategic trade policy – ​​and it is an argument that is anything but uncontroversial in modern economics.

The theoretical foundation for this was provided in the mid-1980s by the model developed by James Brander and Barbara Spencer, which models government subsidies as rational interventions in markets with oligopolistic competition and economies of scale. In practice, in the case of Airbus, this meant that Europe, through targeted start-up funding, secured a market position that a private company could never have achieved without government backing. Once critical mass was reached, the company became profitable – and the government support could be gradually replaced by market revenues.

Applied to the digital world, this lesson means that cloud computing, AI infrastructure, and semiconductor manufacturing are also markets where economies of scale, network effects, and high initial investments create massive barriers to entry. Those who don't invest from the outset either can't get in—or can only buy in under conditions dictated by the market leader. Europe has translated this insight into a strategy in the aviation industry. In the digital realm, it has yet to do so consistently.

What the numbers reveal: The cost of waiting

The economic consequences of this passivity can be seen in concrete figures. The European cloud computing market will grow to over US$525 billion by 2032, starting from around US$177 billion in 2025. Annual growth is nearly 17 percent. The USA structurally benefits disproportionately from this growth – not because American companies are necessarily technologically superior, but because they invested earlier, achieved greater economies of scale, and enjoyed an implicit subsidy architecture through government research funding (DARPA, NSF, defense contracts) that the European discourse persistently ignores.

The infrastructure gap described in the Allianz study is not a static figure: it is growing. While the US has tripled its AI-related imports since 2023, and almost half of all global data centers are located on American soil, corresponding imports in Europe increased by only 40 percent during the same period. US technology companies are investing around ten billion euros per quarter in expanding their cloud infrastructure alone – a scale that European providers cannot match without coordinated public support.

Asia, meanwhile, dominates exports of AI-related goods, accounting for 65 percent. Europe imports 57 percent of its IT equipment and more than half of the hardware needed for data centers from five Asian countries: Taiwan, China, South Korea, Malaysia, and Vietnam. This is not a technological weakness—it is the result of decades of political failure to treat semiconductor manufacturing, server infrastructure, and AI development as strategic sectors and to promote them accordingly.

The hesitancy of the giants: Why previous initiatives fall short

The European Commission has recognized the situation. At the AI ​​Action Summit in Paris in February 2025, Commission President Ursula von der Leyen announced the InvestAI initiative, aiming to mobilize up to €200 billion in AI investments. This includes a €20 billion fund for four future AI gigafactories in the EU – specializing in training very large, complex AI models. More than 60 European companies joined forces to form the EU AI Champions initiative, and international investors pledged to invest €150 billion in AI projects in Europe over the next five years.

At the Franco-German summit on digital sovereignty in Berlin in November 2025, Chancellor Friedrich Merz announced a total investment volume of over twelve billion euros, of which around eleven billion euros were earmarked for a data center by the Schwarz Group in Lübbenau. Germany is developing a next-generation open-source foundation model called SOOFI (Sovereign Open Source Foundation Models), which other companies and research institutions can use as a basis. In April 2025, the European Commission presented a comprehensive action plan for an AI-driven Europe, focusing on five key areas: infrastructure development, data access, AI implementation in strategic sectors, skills development, and regulatory simplification.

This sounds like a new beginning. But the ambivalence lies in the details. 200 billion euros, to be mobilized over several years, is an impressive figure – but no guarantee that it will flow into the right structure. The US alone is investing hundreds of billions of euros of private funds in AI in 2025, and China is pooling state resources with industrial policy precision. Europe's structural hurdles – fragmented regulation, complicated approval processes, a lack of grid connection capacity, the absence of a domestic hyperscaler, and weak venture capital – cannot be overcome by announcements alone. The AI ​​Act also illustrates this: Key parts of the regulation were originally supposed to come into force in August 2026, but because certain standards are still missing, further delays are looming. At the Berlin summit, Germany and France even advocated for a one-year postponement of key AI Act obligations – which raises the question of whether Europe views its own regulatory framework as an instrument or an obstacle.

The structural question: Why a simple copy-paste doesn't work

It would be analytically dishonest to describe the Airbus blueprint as directly transferable to AI. There are significant differences that preclude a schematic transfer. Aircraft are physical objects with clearly defined production processes, national manufacturing shares, and a limited number of customers. AI infrastructure, on the other hand, is highly digital, infinitely replicable, subject to network effects, and developing at a pace of innovation that systematically overwhelms government planning.

Nevertheless, the structural similarities remain illuminating. Both sectors exhibit characteristics that economists would describe as natural oligopolies: high fixed costs, low marginal costs at scale, massive network effects, and winner-takes-most dynamics. In such markets, it is often not superior quality that determines victory, but rather who scales first. Boeing and its rivals did not create these economies of scale without government support—and neither did the American hyperscalers. AWS benefited from billions of dollars in CIA cloud contracts, and Microsoft's partnership with the US military (JEDI, subsequently JWCC) was worth tens of billions. This is American industrial policy, though it doesn't call itself that.

What Europe needs, therefore, is not an AI Airbus in the sense of a bureaucratically managed consortium modeled on the 1970s. What is needed is what truly underpinned the Airbus success: the willingness to supplement the market mechanism where it structurally fails, without completely replacing market dynamics. This means targeted initial public funding for infrastructure and basic research, a clear commitment to European ownership of critical infrastructure, the creation of a genuine European single market for data services and AI applications – and the political decision to actively dismantle dependencies that qualify as security risks, rather than merely managing them legally.

Europe at a crossroads: The structural courage that is still lacking

It is spring 2026, and Europe's situation is paradoxical. The continent is technologically competent, scientifically strong, boasts world-class universities and engineers, has set a global data protection standard with the GDPR regime, and possesses the world's first comprehensive legal framework for the use of artificial intelligence with the AI ​​Act. And yet, over 80 percent of its critical digital infrastructure is controlled by non-European providers.

The discrepancy between regulatory ambitions and structural sovereignty is the defining characteristic of this situation. Europe regulates AI without owning the AI ​​infrastructure itself. It sets data protection standards without controlling the platforms where the data resides. It discusses dependencies without aligning capital allocation to overcome them. This is not the failure of engineers. It is the failure of the political class to draw strategic conclusions from a problem diagnosis that has been on everyone's desks for a decade.

The Franco-German AI Dialogue, convened in January 2025 with the participation of Fraunhofer, Inria, and IMT, which formulated concrete recommendations for a sovereign European AI ecosystem, demonstrates that the necessary knowledge exists. The Schwarz Group, which increased its stake in Aleph Alpha to approximately 28 percent at the end of January 2026, shows that German private capital is indeed willing to invest strategically in AI. According to the Allianz report, initiatives for sovereign cloud computing in France and Sweden, which are viewed positively, are considered promising counterweights – but remain too small in scale.

What's missing isn't a concept. What's missing is the determination to implement the concept with the same consistency with which Europe tackled aviation in 1970. The difference to the situation back then lies not in the starting point, but in the willingness to take risks. Airbus was a race against seemingly insurmountable competition, with an uncertain outcome, decades of financial investment, and the real risk of failure. It worked because Europe had the courage to take that risk.

In 2026, Europe will face the same decision. The difference is that the window for a catch-up strategy is shrinking. Every year that American and, increasingly, Chinese providers expand their infrastructure, deepen network effects, and solidify developer ecosystems, it becomes more expensive and difficult to establish an independent European position. This is the real urgency behind the question of the Airbus of AI. It's not a nostalgic reminiscence of past greatness. It's an economic calculation about closing windows of opportunity.

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