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Sequoia Raises $7B AI Fund — Double Its Last, First Under New Leadership

Sequoia Capital closed roughly $7 billion for a new expansion fund, according to Bloomberg. The fund is focused on late-stage investments in the US and Europe — what the firm calls its “expansion strategy.” Sequoia declined to comment.

The fund is nearly double the firm’s last comparable vehicle, a $3.4 billion fund raised in 2022. That $3.6 billion increase is not just a bigger number; it reflects a structural change in what late-stage AI investing looks like. In 2022, a $3.4 billion fund could plausibly backstop a generation of AI companies. By 2026, single investment rounds at OpenAI and Anthropic are measured in the tens of billions. Sequoia had to double to stay relevant at the scale.

New Stewardship

The raise is the first under Alfred Lin and Pat Grady, who took over as co-stewards of Sequoia’s US and Europe business following a leadership transition. Previous partner Michael Moritz stepped back years ago; the firm has navigated several structural changes as it scaled internationally and separated its US, European, and Asia funds.

Lin and Grady inherit a strong position. Sequoia backed OpenAI from its earliest rounds and came in on Anthropic’s later stages — two of the most valuable private companies in the world, both reportedly considering public listings in 2026. Those positions alone justify a larger fund.

Portfolio Signal

Beyond the OpenAI and Anthropic stakes, Sequoia has positioned itself across the broader AI buildout:

  • Factory — AI coding agents for enterprise engineering teams, recently raised $150M at $1.5B
  • Physical Intelligence — Bay Area robotics, building foundation models for physical tasks

The thesis is consistent: Sequoia is not just backing the foundation model labs but also the vertical applications layer, where the lab bets generate revenue faster but at lower terminal multiples.

Why the Fund Size Matters

AI company formation is expensive in a way it was not in the software era. The capital requirements for data, compute, and talent compress the period between seed and late-stage to months instead of years. A $7 billion fund positioned for late-stage participation means Sequoia expects to cut cheques in the $100M–$500M range regularly enough to deploy that capital over the fund’s lifecycle.

That is the new normal for the largest AI-native investors. Accel closed $5B weeks earlier. a16z has been running successive mega-funds. The venture industry has bifurcated: firms that can write nine-figure checks and firms that are watching from the outside.