Q1 2026 AI Funding Report: $35.9B Raised Across 95 Deals

Executive Summary

Q1 2026 was a landmark quarter for AI venture funding. A total of $35.9 billion was raised across 95 deals, representing an 86.7% increase over Q4 2025's $19.2 billion. The average deal size reached $378 million, though the median of $37 million tells a more nuanced story: a small number of massive rounds pulled the average sharply upward while the majority of deals remained in the tens-of-millions range.

The quarter was defined by three forces. First, frontier AI labs continued their capital arms race, with OpenAI's $6.6 billion Series E and Anthropic's $2.0 billion Series D anchoring the top of the leaderboard. Second, Europe emerged as a serious contender, with 24 deals totaling $6.65 billion -- including multiple billion-dollar rounds for Paris- and London-based startups. Third, AI infrastructure buildout accelerated, as companies like Nscale and Nebius Group NV each raised $2.0 billion to expand GPU cloud capacity.

Fifteen mega-rounds (>$500 million) accounted for $30.7 billion, or 85.5% of total quarterly funding. This extreme concentration underscores a market where capital is flowing overwhelmingly to established players and well-connected founders, while early-stage companies compete for the remaining 14.5%.

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Total Capital Deployed: Month-by-Month Breakdown

Key takeaway: March dominated the quarter with nearly 56% of total capital deployed across 69 deals. This surge was driven by a wave of major closes as companies rushed to lock in funding ahead of Q2. January's smaller deal count (8) but substantial total ($9.14B) was almost entirely attributable to OpenAI's record-breaking raise. February saw a healthier balance of mid-sized and large deals.

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Largest Deals of the Quarter

The ten largest rounds of Q1 2026 paint a picture of an industry where billion-dollar fundraises are becoming routine for top-tier companies:

Several patterns emerge from this list. Six of the top ten rounds involved companies building foundational AI technology -- either frontier models or the infrastructure to run them. Two of the top ten were seed rounds exceeding $1 billion (AMI and Thinking Machines Lab), a previously unheard-of phenomenon that signals a new era in AI company formation where renowned researchers can command massive capital commitments from day one. OpenAI's $157 billion valuation is the highest private valuation in technology history.

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Sector Analysis

Capital in Q1 2026 was concentrated in three sectors that collectively captured over 84% of all funding:

Foundation Models & AGI: $12.3B across 6 deals

The foundation model sector remains the most capital-intensive segment of AI, with an average deal size of $2.0 billion. OpenAI ($6.6B), Anthropic ($2.0B), and AMI Labs ($1.0B) were the headline deals. The entry of Yann LeCun's AMI Labs and the Thinking Machines Lab signals that the foundation model race is far from consolidating -- new contenders with novel architectures (particularly world models and next-generation reasoning systems) are attracting massive bets.

Enterprise AI: $11.7B across 15 deals

Enterprise AI's $11.7 billion total was heavily influenced by General Catalyst's $10.0 billion raise, which represented a different kind of deal -- a venture firm raising capital rather than a startup. Excluding that outlier, the sector still saw robust activity: Legora raised $550 million for AI-powered legal technology, and Cohere secured $450 million to expand its enterprise language model platform. The sector's 15 deals suggest broad investor appetite for AI applications with clear enterprise revenue models.

AI Infrastructure: $6.3B across 9 deals

Infrastructure was the quarter's third-largest sector, driven by the insatiable demand for GPU compute. Nscale's $2.0 billion Series C made it Europe's most valuable AI infrastructure startup, while Nebius Group NV attracted a $2.0 billion investment from NVIDIA for its data center operations. Ineffable Intelligence raised $1.0 billion focused on memory chip technology -- a signal that the infrastructure bottleneck is shifting from GPUs to memory.

AI Developer Tools: $2.0B across 10 deals

The developer tools segment saw strong momentum led by Cursor's $900 million Series B at a $9.9 billion valuation. Replit raised $400 million and Lovable secured $200 million, confirming that AI-assisted coding is one of the most commercially viable applications of large language models. This sector had the most balanced distribution of deal sizes, suggesting a maturing market with multiple winners.

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Stage Distribution

The most striking feature of Q1 2026's stage distribution is the Seed stage average of $289 million -- wildly distorted by two outlier billion-dollar seed rounds. Excluding those, the remaining five seed deals averaged $4 million, a more typical figure. The 16 Series A deals averaging $19 million suggest a healthy early-stage pipeline, though the capital available at Series A pales in comparison to the mega-rounds dominating later stages.

Nearly half of all deals (46) had undisclosed stage information, reflecting the speed at which deals close in the current market and the tendency of some companies to withhold round details.

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Geographic Distribution

San Francisco maintained its dominance with 31 deals and $14.2 billion raised, but the real story is the rise of Europe. Across London, Paris, Amsterdam, and Stockholm, European companies raised $6.65 billion across 24 deals. This 18.5% European share of total funding marks a significant shift from historical patterns where European AI companies struggled to raise at scale. Key European deals included Nscale ($2.0B, London), Mistral AI ($640M, Paris), and Thinking Machines Lab ($1.0B, Paris).

Paris stood out with 9 deals -- the highest deal count of any European city -- reflecting France's aggressive push to become a global AI hub through government incentives, talent retention, and a growing ecosystem of AI research labs.

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Top Investors of Q1 2026

Excluding undisclosed investors, the most active firms by deal count were:

Andreessen Horowitz was the most active firm by deal count, participating in 5 rounds across sectors ranging from foundation models to developer tools to creative AI. This breadth suggests a16z is building a diversified AI portfolio rather than concentrating bets on a single thesis.

Thrive Capital backed the largest total round volume ($8.0B across 3 deals) thanks to leading OpenAI's $6.6B Series E. Thrive has become the de facto lead investor for the largest AI rounds, having led both OpenAI's Series E and participated in several other high-profile raises.

Khosla Ventures participated in $7.1 billion worth of deals across 4 rounds, demonstrating the firm's continued conviction in AI as a transformative technology category.

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Mega-Round Analysis: 15 Rounds Over $500M

Q1 2026 featured 15 mega-rounds totaling $30.7 billion -- representing 85.5% of total quarterly funding. This is the highest concentration of mega-rounds in a single quarter in AI funding history.

The concentration of capital in mega-rounds raises important questions about market structure. With 85.5% of funding going to just 15 deals, the remaining 80 companies split $5.2 billion -- still a substantial sum, but one that highlights the growing bifurcation between AI "haves" and "have-nots."

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Notable Trends

1. The Billion-Dollar Seed Round Arrives

Q1 2026 saw something unprecedented: two seed rounds exceeding $1 billion. Thinking Machines Lab raised $1.0 billion at a $5.0 billion valuation, and AMI -- associated with Yann LeCun's world model research -- also secured $1.0 billion at the seed stage. These deals signal that for AI researchers with established reputations and novel technical approaches, the traditional funding ladder (pre-seed to seed to Series A) is being bypassed entirely.

2. Europe's Breakout Quarter

European companies raised $6.65 billion across 24 deals, accounting for 18.5% of total quarterly funding. Paris led with 9 deals, followed by London with 4. The continent produced three billion-dollar-plus rounds: Nscale ($2.0B), Thinking Machines Lab ($1.0B), and Mistral AI ($640M). This represents a step change in Europe's AI funding trajectory and suggests the continent is narrowing the gap with the US.

3. AI Infrastructure Bottleneck Shifts to Memory

While GPU supply has been the dominant infrastructure constraint since 2023, Ineffable Intelligence's $1.0 billion raise specifically targeting memory chip technology signals that the bottleneck is evolving. As AI models grow larger and inference workloads scale, memory bandwidth and capacity are becoming critical limiting factors.

4. AI-Assisted Coding Goes Mainstream

The AI Developer Tools sector raised $2.0 billion across 10 deals, led by Cursor's $900M round at a $9.9B valuation. Replit ($400M) and Lovable ($200M) also raised substantial rounds. AI coding assistants have emerged as perhaps the most commercially validated application of large language models, with clear revenue models and rapid user adoption.

5. Capital Concentration Intensifies

The top 5 deals accounted for $22.6 billion (63%) of total quarterly funding. The top 15 mega-rounds captured 85.5%. This level of concentration is unprecedented and suggests that in the current market, being a top-tier AI company with brand recognition and established technology is almost a prerequisite for raising significant capital.

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Quarter-over-Quarter Comparison

The 86.7% increase in total funding and the jump from 8 to 95 tracked deals reflects both genuine market acceleration and our expanded data collection efforts in Q1 2026. The tripling of mega-rounds from 5 to 15 is the most significant signal: large institutional investors are deploying capital into AI at an accelerating pace, and the pipeline of companies capable of raising at scale continues to grow.

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Looking Ahead: What to Watch in Q2 2026

Based on the trends observed in Q1 2026, several dynamics will shape the next quarter:

1. IPO Window:: With companies like Cursor ($9.9B valuation), Perplexity ($9.0B), and Databricks ($62.0B) reaching late-stage maturity, the pressure to test public markets will intensify. Any successful AI IPO could catalyze a wave of listings.

1. European Policy Tailwinds:: The EU AI Act's implementation timeline and France's national AI strategy investments may create additional incentives for European AI companies, potentially sustaining the region's breakout funding trajectory.

1. Infrastructure Capacity Constraints:: With over $6.3 billion deployed into AI infrastructure in Q1 alone, watch for new data center announcements, power procurement deals, and potential supply chain bottlenecks in GPU and memory components.

1. Foundation Model Consolidation or Expansion:: The entry of new labs (AMI Labs, Thinking Machines Lab, World Labs) challenges the narrative that the foundation model market is consolidating. Q2 will reveal whether these new entrants gain traction or whether capital migrates back to established players.

1. Application Layer Growth:: With infrastructure and model layers increasingly well-funded, expect growing investor attention to the application layer -- companies building differentiated products on top of foundation models for specific industries and use cases.

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Methodology

This report covers AI venture funding activity from January 1, 2026 to March 31, 2026. Data is sourced from AI Funding's proprietary funding database, which tracks disclosed venture capital rounds for AI-focused companies.

• Inclusion criteria: Disclosed equity funding rounds (Seed through Series E+) are included. Grants, debt financing, and secondary transactions are excluded.
• Capital deployed: Investor leaderboard figures reflect the full round amount for each deal an investor participated in, not individual allocation amounts (which are rarely disclosed).
• Sector classification: Companies are classified into their primary AI sector based on core product focus.
• Valuation data: Valuations are included when publicly disclosed or confirmed by multiple sources.
• Date attribution: Rounds are attributed to the quarter in which they were announced, which may differ from actual close dates.
• Coverage: This database tracks a subset of global AI funding activity. Actual total AI funding is likely higher when including undisclosed rounds and regions with limited coverage.

Data sourced from AI Funding (aifunding.me). For company-level details, visit our company directory. For real-time deal tracking, see our deals feed.