American VCs Eye European Research Labs as the Next Frontier Beyond AI

American venture capital funds, energised by the artificial intelligence boom that dominates deal-making conversations in New York, are casting a wider net across the Atlantic, directing growing attention toward European research laboratories and early-stage startups in the conviction that the continent's technology sector is systematically undervalued.

The shift matters because it arrives at a moment when the gap between American and European AI investment is at its widest, yet a counter-narrative is forming: that European startups which embrace their identity openly, and the European consumer market they serve, represent a distinctive long-term proposition for funds searching for the next wave of deep-tech value beyond the established AI giants.

What happened

The backdrop is a staggering concentration of capital in the United States. In 2026, Amazon, Meta, Microsoft and Alphabet are on course to spend a combined $725 billion on artificial intelligence and related infrastructure — 77% more than the prior year's already record figure of $410 billion, a sum roughly equivalent to the gross domestic product of Norway, or of Switzerland and Finland combined.

That spending has been entirely self-financed, according to Robert Buckland, former global equity strategist at Citigroup and now senior adviser at Engine AI and Investa, who noted that the technology giants simultaneously returned approximately $230 billion to shareholders through share buybacks last year.

Against that backdrop, some American funds are now scanning Europe for what they describe as the equivalent of the great AI laboratories — research-intensive organisations with deep scientific output that has not yet been fully commercialised. The signals are mixed: the closure of a prominent Silicon Valley fund's London office has been read by some as a retreat, yet other investors are moving in the opposite direction, arguing that the very friction that has kept European valuations lower is precisely what makes the region worth examining now.

The European research gap — and the push to close it

Europe's challenge is not a shortage of scientific output; it is the difficulty of converting that output into companies. Italy illustrates the dynamic clearly. The country ranks ninth worldwide for AI publications, with more than 40,000 papers produced between 2018 and 2023. More than 200 university courses across 50 institutions are active in the field, and roughly 581 doctoral programmes in related disciplines are launched each year, according to figures cited by CDP Venture Capital.

Yet translating that research into scalable businesses has proved harder. On 30 September 2026, CDP Venture Capital moved to address the gap directly by launching SophIA, a new National Technology Transfer Hub dedicated to artificial intelligence and cybersecurity. The programme carries an initial endowment of €27.5 million, drawn from CDP Venture Capital's Technology Transfer Fund and its Artificial Intelligence Fund, with the goal of financing and supporting the creation of more than 20 deep-tech startups over the next three years, from proof-of-concept through pre-seed and seed stages.

The scientific partners anchoring SophIA include the Università Federico II di Napoli, the Politecnico di Milano, the Istituto Italiano di Intelligenza Artificiale AI4I, the Fondazione Bruno Kessler and the Istituto Italiano di Tecnologia. Industrial partners are also in preparation. Scientifica Venture Capital, an Italian operator specialised in technology transfer with 21 deep-tech startups already in its portfolio, serves as the entrepreneurial partner.

"Non basta finanziare buone idee: occorre accompagnare le tecnologie lungo tutto il percorso che porta dal laboratorio al mercato."

Riccardo D'Alessandri, Managing Partner of Scientifica Venture Capital, on the SophIA launch, 30 September 2026.

SophIA's investment scope is deliberately broad, covering foundation model development, new training architectures, multimodal and decentralised systems, autonomous and collaborative robotics, digital twins, edge computing and neuromorphic hardware, as well as applications in industrial automation, materials design and drug development.

Why the American gaze is turning to Europe

Among American investors, three convictions are gaining ground. The first is that Europe is undervalued relative to the depth of its scientific base. The second is that startups which assert a distinctly European identity — in their governance, their approach to data and their relationship with regulators — carry a differentiated profile that is increasingly legible to sophisticated capital. The third is that the European consumer market, large and relatively cohesive in its purchasing behaviour, warrants optimism as a revenue base for technology companies built on the continent.

The AI market in Italy alone reached €1.2 billion in 2024, a 58% increase on the prior year, according to the Osservatorio Artificial Intelligence of the Politecnico di Milano — a growth rate that illustrates the pace at which European demand is accelerating even as the supply of locally built AI companies remains constrained.

The broader American AI ecosystem has demonstrated that the decisive advantage is not capital alone but the density of the surrounding system. As Buckland observed, the hyperscalers' enormous outlays were not funded by new external financing but generated internally, reflecting an ecosystem in which revenue, reinvestment and talent reinforce one another. Europe's research institutions, American investors argue, could form the nucleus of an analogous — if smaller — flywheel, provided the commercialisation infrastructure is built around them.

The talent dimension

A parallel dynamic is reshaping the talent landscape. Researchers are leaving large AI companies — including Meta, Google, Anthropic and OpenAI, where compensation packages run to six and sometimes seven figures — to join or found startups, in what observers have described as an exodus without precedent. That movement is not confined to the United States: European research institutions are watching whether some of that restless talent can be attracted back to, or retained within, the continent's emerging deep-tech hubs.

Claudia Pingue, Senior Partner and head of the Technology Transfer Fund at CDP Venture Capital, described SophIA as "un tassello strategico del nostro piano di rafforzamento del trasferimento tecnologico in Italia," with the explicit aim of intervening in AI technologies before they reach commercial maturity and of creating qualified employment for researchers whose skills were developed in Italy.

Why it matters

The convergence of American investor interest and European institutional mobilisation around research commercialisation represents a structural shift in how cross-Atlantic technology capital flows. For years, the dominant narrative held that European startups needed to relocate to the United States to access the capital and market density required to scale. The emerging counter-thesis is that a European identity, anchored in strong research institutions and a large consumer base, can itself be a source of durable competitive differentiation.

The American AI ecosystem's dominance rests on what analysts describe as an integrated circuit of institutions, consumer communities, regulatory frameworks and private capital — a system in which OpenAI and Anthropic alone are expected to raise a combined $152 billion in private funding in 2026. Europe's fragmentation, long cited as its principal weakness, is the same condition that has kept valuations lower and that some American funds now read as a margin of safety rather than a structural flaw.

• Amazon, Meta, Microsoft and Alphabet: combined AI and infrastructure spend of $725 billion in 2026, up 77% year-on-year
• OpenAI and Anthropic: expected to raise a combined $152 billion in private funding in 2026
• SophIA (CDP Venture Capital): €27.5 million endowment, target of more than 20 deep-tech startups in three years
• Italy AI market: €1.2 billion in 2024, up 58% on 2023
• Italy AI research: more than 40,000 publications between 2018 and 2023, ninth worldwide

What to watch next

• The first cohort of startups to emerge from SophIA's proof-of-concept pipeline, expected within the three-year horizon announced on 30 September 2026, will be an early test of whether Italy's research base can be converted into scalable companies at the pace the programme targets.
• Industrial partnership agreements for SophIA, described as in preparation at launch, will signal which large European companies are willing to co-invest in early-stage deep-tech commercialisation.
• The trajectory of American fund activity in European markets — whether the closure of certain London offices proves a trend or an outlier — will become clearer as funds report their 2026 deployment data in early 2027.
• The outcome of the Elon Musk versus Sam Altman trial, under way before United States District Judge Yvonne Gonzalez Rogers, could reshape governance norms for AI companies globally, with implications for how European startups structure themselves to attract American capital.