“Deregulation Spurs Investment”: Europe’s AI Ecosystem Gains Momentum as Defense Startups Advance Amid Rearmament

Nvidia expands investment in AI startups across Europe, including Germany, France and the UK
EU lays groundwork for industry growth by easing AI regulations, boosting fundraising by local technology companies
Europe’s rearmament drives a surge in demand for defense AI, accelerating growth at drone and autonomous weapons startups

Nvidia is committing substantial funding to Europe’s technology ecosystem. With the European Union (EU) recently delaying the application of high-risk artificial intelligence (AI) regulations and easing some administrative burdens, rapidly growing investment in AI startups is gradually improving growth conditions for European technology companies. Alongside rising defense spending across Europe, investor demand is also spreading to industries where AI technologies are being commercialized rapidly, including defense and robotics.

Nvidia’s European Investment Strategy

According to US business news outlet CNBC on the 20th (all dates hereafter local time), Nvidia announced plans to invest in four German startups at the Invest in Germany Summit held in Berlin, Germany, the previous day. The investment targets are AI-powered robotics developer Agile Robots, hospital information management software developer Avelios Medical, AI-based audiovisual generation company Mirelo, and satellite design and manufacturing company Reflex Aerospace. This is part of Nvidia’s announced plan to invest USD 10 billion (approximately USD 10.2 billion) in companies, universities and research institutions across Europe. Investment amounts for individual companies were not disclosed.

Nvidia has also recently announced a series of investment expansions in European countries beyond Germany. Nvidia CEO Jensen Huang previously unveiled plans in France to invest in four local startups and discussed expanding AI infrastructure and developing technology with French President Emmanuel Macron. In the UK, the company announced plans to invest in five advanced technology startups working in areas including AI drug discovery, infrastructure forecasting and quantum computing, and pledged to provide USD 250 million (approximately USD 255 million) worth of computing resources for AI safety research over the next five years. In Sweden, it plans to partner with a local foundation to establish an AI innovation hub supporting healthcare and climate startups, while strengthening its collaboration with Volvo Cars on autonomous driving technology.

Europe’s Once-Frozen AI Market

Market observers are taking note of the rapid pickup in European AI investment. Concerns have long persisted in Europe that a lack of investment and gaps in technology infrastructure could leave the region behind the United States and China in the AI race. For example, at the Hofburg Dialogue in Vienna, Austria, last month, European Central Bank (ECB) President Christine Lagarde noted, “Last year, the United States developed 59 notable AI models and China developed 35, while the UK and France produced only one each,” adding that “the scale of AI investment being poured in by the United States and China differs greatly from Europe’s.” She also said, “The United States accounts for 75% of global AI computing capacity through its data centers, while Europe accounts for just 5%,” stressing the urgent need to expand computing capacity to keep pace with rising demand.

Institutions have offered similar assessments. In a contribution by Richard Windsor published in April through Telecom Expert Voices, global telecommunications and digital industry research firm Strand Consult described Europe’s AI competitiveness as little more than a “rounding error” in the global market. French AI company Mistral is pursuing plans to build a data center with approximately 200 megawatts (MW) of capacity and deploy 13,800 GB300 chips, but this was assessed as markedly insufficient compared with the United States and the Middle East. Strand Consult identified the regulatory environment and industry culture as key reasons for the weakness of Europe’s AI industry. In particular, it argued that the EU’s AI Act constrains business activity by preemptively regulating an industry that has yet to take shape.

AI Act Raises Regulatory Barriers

The AI Act is the world’s first comprehensive AI regulatory law. Its core approach is to classify AI systems into four risk levels—unacceptable risk, high risk, limited risk and minimal risk—and apply differentiated regulations. High-risk AI includes systems that could significantly affect individuals’ fundamental rights or safety, such as recruitment and personnel evaluations, education and critical infrastructure operations. Companies developing these technologies must fulfill various obligations, including establishing risk management systems, managing training data quality, preparing technical documentation and retaining system operation logs. They must also undergo conformity assessments before launching products. Penalties for violations are stringent. Using prohibited AI technologies can result in fines of up to EUR 35 million (approximately USD 40 million) or 7% of worldwide annual revenue, whichever is higher. Violations of key obligations concerning high-risk AI can result in penalties of up to EUR 15 million (approximately USD 16.9 million) or 3% of revenue.

The problem is that compliance with these regulations requires substantial spending and specialized personnel. Large technology companies can respond through dedicated legal, security and quality management teams, but early-stage startups with limited capital and staff must devote additional resources to data verification, risk assessments and regulatory documentation, separate from technology development. Developers of high-risk AI, in particular, must meet the relevant obligations before launching products and may face heavy pressure from commercialization delays and rising costs associated with certification preparation and regulatory compliance. This delays the launch of new services and revenue generation, while also making it harder to secure follow-on investment.

Table 1. EU Measures to Ease AI Regulations

Startups Stir as Policy Direction Shifts

Recently, however, the EU’s policy direction has also begun to change. In July, the EU brought into force an amendment simplifying the AI Act and postponed the implementation of key provisions on high-risk AI, originally scheduled to take effect this August, until December 2027. High-risk AI embedded in products such as machinery and toys was granted a grace period until August 2028. The decision reflected concerns that imposing uniform compliance obligations on companies while technical standards and detailed guidance remained delayed could unnecessarily increase development costs and disrupt product commercialization. The EU also introduced measures to reduce administrative burdens on businesses, including extending some simplified regulatory procedures beyond small and medium-sized enterprises to mid-sized companies.

Against this backdrop, European AI startups have begun stepping up fundraising and business expansion. According to the “2026 Sifted AI 100,” released on the 15th by European technology publication Sifted, European AI startups have raised a cumulative EUR 29.6 billion (approximately USD 33.9 billion) this year, more than twice the total raised last year. Growth has been particularly pronounced among companies developing AI technologies tailored to specific industries, including healthcare, finance and industrial automation. Of the 100 promising European AI startups selected by Sifted, 51 were industry-specific AI companies. The number of companies applying AI to physical environments, including robotics, also rose from 11 last year to 14.

Investment Also Picks Up in Defense

The advance of European AI startups is also evident in the defense industry. As European countries increase defense spending following Russia’s invasion of Ukraine and accelerate efforts to acquire advanced military technologies such as drones and autonomous weapons systems, funding is flowing into emerging defense companies that use AI. According to the NATO Innovation Fund and market research firm Dealroom, European startups in defense, security and resilience raised USD 8.7 billion (approximately USD 8.85 billion) in venture investment last year, up 55% from the previous year. AI-related companies accounted for 44% of the total investment.

A prominent example of this trend is German defense AI startup Helsing. Founded in 2021, Helsing has developed AI software that analyzes battlefield data to support military decision-making, and has recently expanded into AI-powered unmanned attack aircraft and autonomous fighter aircraft. In July, it raised USD 1.8 billion (approximately USD 1.83 billion) from investors including Dragoneer Investment Group and Lightspeed Venture Partners, at a valuation of USD 18 billion (approximately USD 18.3 billion). Germany’s Quantum Systems also raised USD 1.2 billion (approximately USD 1.22 billion) in the same month, at a valuation of USD 8 billion (approximately USD 8.14 billion), in a funding round involving Blackstone, Airbus and others. Quantum Systems develops military reconnaissance drones and autonomous navigation technology, and plans to use the funding to develop unmanned air, ground and maritime systems and expand production capacity.