Top 15 VC Funds Investing in AI: Who Writes the Biggest Checks

# Top 15 VC Funds Investing in AI: Who Writes the Biggest Checks

Nearly half of all global venture funding in 2025 went into AI — over $150 billion. But the money is concentrated in a handful of funds that have become the kingmakers of the AI economy. Here are the 15 most active and influential AI investors, what they look for, and how much they deploy.

Tier 1: The AI Mega-Funds

1. Andreessen Horowitz (a16z)

AI AUM: $7.5 billion dedicated AI fund

Notable AI Portfolio: Mistral AI, Character.AI, ElevenLabs, Anysphere (Cursor)

Check Size: $10M-$500M

What they look for: Frontier model companies, AI-native applications with defensible moats, and infrastructure plays. They co-lead rounds and take board seats.

Returns: Early investors in GitHub (acquired for $7.5B) and Databricks ($134B valuation).

2. Sequoia Capital

AI AUM: Undisclosed (estimated $10B+ across funds)

Notable AI Portfolio: OpenAI (early investor), NVIDIA, Harvey, Glean

Check Size: $1M-$1B

What they look for: Generational companies. Sequoia backed Google, Apple, and now OpenAI. They want the next platform-defining AI company.

Returns: Their OpenAI stake alone is worth billions at $300B+ valuation.

3. Lightspeed Venture Partners

AI AUM: $7.1 billion Fund IV

Notable AI Portfolio: Mistral AI, Stability AI, Applied Intuition

Check Size: $10M-$200M

What they look for: Enterprise AI with clear revenue traction, model companies with differentiated approaches.

4. Tiger Global Management

AI AUM: Undisclosed (one of the most active AI investors by deal count)

Notable AI Portfolio: Databricks, Scale AI, Stripe, Figma

Check Size: $20M-$1B

What they look for: High-growth, revenue-stage AI companies. Tiger moves fast and writes large checks with minimal governance requirements.

Tier 2: Specialist AI Investors

5. Khosla Ventures

Focus: Deep tech, AI for science and healthcare

Notable AI Portfolio: OpenAI (early investor), Recursion Pharmaceuticals

Check Size: $5M-$100M

Differentiation: Vinod Khosla personally evaluates deals. Strong opinion on AI replacing 80% of knowledge work.

6. Radical Ventures

Focus: Pure-play AI venture fund

Notable AI Portfolio: Cohere, Waabi, Deep Genomics

Check Size: $5M-$50M

Differentiation: Founded by AI researchers, deep technical due diligence.

7. Lux Capital

Focus: Deep tech, frontier AI, robotics

Notable AI Portfolio: Anduril, Shield AI, Figure AI

Check Size: $5M-$100M

Differentiation: Strong in AI + defense/robotics intersection.

Tier 3: Corporate AI Investors

8. Google Ventures (GV)

AI AUM: $2.4B under management

Notable AI Portfolio: Anthropic ($2B+), DeepMind (acquired), Uber, Slack

Strategic value: Access to Google Cloud, TPUs, and distribution.

9. Microsoft Ventures / M12

Notable AI investments: OpenAI ($13B+), Mistral AI

Strategic value: Azure integration, enterprise distribution, GitHub/LinkedIn access.

10. NVIDIA Ventures

Notable AI investments: CoreWeave, Recursion, AI infrastructure plays

Strategic value: GPU allocation priority, CUDA ecosystem support.

What This Means for Founders

If you are raising for an AI startup:

• Tier 1 funds ($100M+ checks) only invest in companies with $1M+ ARR or breakthrough technology
• Tier 2 specialist funds are more accessible for seed/Series A with strong AI differentiation
• Corporate VCs add strategic value beyond money — cloud credits, distribution, partnerships

If you are investing in AI:

• These funds' portfolios are a roadmap of where the smart money sees AI heading
• Following their investments (public via Crunchbase, PitchBook) is free market intelligence

The Bottom Line

15 funds control much of the AI investment landscape. They collectively deployed over $80 billion into AI in 2025. For founders, understanding their thesis and portfolio helps you target the right investors. For observers, their bets signal which AI segments will matter most in the coming years.