Andreessen Horowitz has raised $1.1 billion for a new fund dedicated to advancing the physical infrastructure behind artificial intelligence, marking a shift from the firm’s usual emphasis on software. The venture capital firm announced the Machine Age fund, stating its goal is to “accelerate the physical buildout of AI” and open the throttle on hardware investments. This move targets the U.S. technology sector’s growing need for tangible systems to support AI’s expansion.
The fund will concentrate on the hardware layer that powers AI, rather than the scaling power of software that has historically defined a16z’s portfolio. According to a post on the firm’s website, this includes a broad range of components and facilities, such as computer chips, memory, data centers, and robots. The firm describes these as the essential infrastructure required to keep AI moving forward at scale.
In explaining the rationale, a16z outlined several specific gaps the fund aims to fill. It cited the need for faster and more efficient systems, cheaper and higher-bandwidth memory across the memory hierarchy, and faster, more scalable interconnects between nodes and systems. The firm also pointed to power-efficient edge devices that allow AI to explore and interact with the physical world, as well as the supporting cooling, materials, electrical, and real estate buildout required to house and run this equipment.
The firm framed the push as a matter of national and social importance, not just a commercial opportunity. In its post, a16z called AI the strongest tool ever developed for solving problems and bestowing abundance, describing its advancement as a social and national imperative. That language signals a broader ambition for the fund beyond financial returns, tying hardware investment to strategic priorities for the country.
The announcement positions a16z to compete more directly with other investors who have poured capital into AI infrastructure, but the firm’s pivot to hardware is notable given its software-centric history. With this fund, the firm is betting that the next bottleneck for AI will be physical, not digital. The $1.1 billion pool gives it substantial resources to back startups working on chips, data center expansion, robotics, and related areas.
No additional details were provided about the fund’s timeline, specific investments, or leadership, and the source article contained no further specifics. The announcement itself, however, underscores a growing consensus in the American tech industry that AI’s future depends as much on concrete machinery and buildings as on algorithms and code.
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