A16z is launching a $1.1 billion Machine Age fund aimed at financing the physical AI stack—chips, memory, networking, data centers, robotics, and energy—to back AI software growth with the necessary hardware and infrastructure.

The fund’s platform offerings include a go-to-market team, a talent network, global capital and partnerships, and a New Media team for brand-building, all guided by operators who have steered hypergrowth at firms like Lovable, Atlassian, Samsara, Miro, and Workday.

Raghu Raghuram of Andreessen Horowitz notes AI workloads are driving up computing demand and many companies still lack sufficient AI computing capacity.

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The report highlights that different layers of the AI infra stack mature at different rates and customer bases, creating potential concentration risk and shifts in bargaining power based on anchor deployments.

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Europe faces binding constraints in real estate, power distribution, and cooling, with about 63% of new capacity planned outside traditional hubs, signaling regional opportunities and challenges.

Bloomberg News confirmed the interview, published on August 31, 2026.

Industry leaders say current infrastructure is hitting supply-chain and physics limits, calling for a rearchitecture of the stack from the electrical level upward.

Near-term indicators to watch include 2027 rack deployments, HBM pricing and lead times, and whether 100–250 kW racks ship at volume without derating, with possible delays to 1 MW racks potentially shifting capital back toward software efficiency plays.

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NVIDIA’s 800 VDC architecture is cited as part of the power-delivery evolution needed to support megawatt-scale racks.