BERLIN - Earlybird closed its eighth early-stage fund at the end of April 2026, raising €360 million — the largest in the venture capital firm's 29-year history. Total assets under management now stand at €2.5 billion, while the fourth Data Driven VC Landscape Report, authored by General Partner Andre Retterath, redefines artificial intelligence priorities across the venture capital industry.
Key Takeaways
- Record fund: Earlybird closes Fund VIII at €360 million, bringing total assets under management to €2.5 billion.
- The AI stack: the highest margins sit in hardware infrastructure (Nvidia at 70-75%), not in applications, where margins are often negative.
- Global market: AI startups captured 53% of worldwide venture capital in the first half of 2026, with quarterly funding hitting $211 billion (+85% year-over-year).
Earlybird's Investment Thesis
The oversubscribed fund targets three areas: AI applications, software infrastructure and foundation models, and deep tech. Retterath lays out a value hierarchy across the technology stack: at the application layer, barriers to entry are minimal, competition is fierce, and margins frequently run negative. Foundation models occupy the middle tier, with gross margins between 30 and 50%. Further down, toward infrastructure and hardware, sit the strongest competitive moats — Nvidia operates at margins of 70-75%.
Fund VIII's first bets follow this logic: Black Forest Labs in image generation, SpAItial AI in 3D foundation models, Arago in photonic chips aimed at cutting AI's energy consumption, and Sintra AI in AI tools built for small and medium-sized businesses.
How AI Is Reshaping the Investment Funnel
The most tangible impact shows up early in the process — deal sourcing, screening, and due diligence. AI tools scan market signals - funding announcements, LinkedIn activity, product launches - building a visibility profile for every startup, regardless of whether founders reach out directly.
During screening, systems assess fit against the fund's thesis, flag missing data, and check the consistency of financial information before a pitch deck ever reaches a human reviewer. In due diligence, platforms like Dili, backed by Y Combinator, automate manual tasks, while a multi-agent framework published on arXiv in May 2026 combines language models with real-time data retrieval to synthesize unstructured information. Across Europe, 34% of VC firms already use AI to summarize due diligence materials, and 26% use it to identify relevant deals.
The Limits of Human Judgment
Final decisions still hinge on a factor automation can't replicate. AI organizes information on founders and stress-tests first impressions, but it doesn't replace direct interaction or the trust built between parties. Limited partners still back general partners, not algorithmic models. The Oxford Seed Fund notes that venture investing rests on human judgment applied to novel, ambiguous situations rooted in social dynamics that automated systems simply don't pick up on.
Market Outlook
In the first quarter of 2026, AI funding hit $211 billion, up 85% year-over-year. Investor attention is shifting away from flashy demos toward strategic coherence, enterprise readiness, and measurable deployment in the field.
For founders, automated screening demands consistent materials and carefully curated market signals from the earliest stages of visibility. For fund managers, the challenge is integrating AI to boost operational productivity without letting it take over the center of decision-making from human judgment.
