Andreessen Horowitz closed its fifth growth fund at $8.5 billion, up from $6.75 billion in January, according to a post published on a16z.com. The venture firm also launched a separate $1.1 billion Machine Age Fund focused on AI hardware, both vehicles closing within days of each other. General partner David George and managing partner Raghu Raghuram said the capital will target six areas: enterprise AI, consumer AI, American Dynamism, robotics and autonomy, healthcare and programmable biology, and rebuilding the AI-era compute stack.
The $1.75 billion increase to the growth fund came within days of the Machine Age Fund close, framing both as a coordinated dual-track capital strategy. The firm listed Databricks, SpaceX, Lovable, Atlassian, Samsara, 1Password, Miro, PagerDuty, Segment, and Workday as examples of prior growth investments. The announcement didn't specify the fund's vintage, target check size, or how much of the $8.5 billion has already been deployed. It arrived the same week Nvidia took a $3.5 billion stake in MediaTek and SB Energy invested $5.5 billion in OpenAI warrants, both transactions targeting portions of the AI compute stack the fifth growth fund now says it will pursue.
George and Raghuram wrote that "top operators today are in the biggest job of their lives, in the fastest-moving, most contested market we've ever seen." The firm's Growth Platform now offers Sales & Marketing Leadership, AI-Native GTM, GTM Strategy & Positioning, Scaling Sales & Marketing Motions, Pricing & Packaging, and Revenue Operations as in-house services. According to the post, embedded operators from hypergrowth companies like Atlassian, Samsara, and Workday deliver AI-native go-to-market and revenue operations support to portfolio companies, positioning operational expertise alongside capital as the differentiated offering.
The report explains that AI startups are hitting growth stage faster and consuming more capital at higher valuations than any prior technology wave, pushing growth funds toward larger checks and compressed timelines. The post draws an explicit comparison to a16z's 2018 crypto standalone fund, arguing that physical AI infrastructure is next in line to become its own standalone category at other major venture firms. The hardware running AI models struggles to keep pace with advancing model capabilities, the authors note, creating opportunity in the compute stack layer.
The additional capital became "the obvious thing to do for both founders and our Limited Partners," according to the post, which frames the fifth growth fund alongside the firm's earlier Machine Age Fund without detailing deployment timelines or reserve allocations. The dual-vehicle strategy signals venture capital's belief that AI companies will require both traditional growth equity and specialized infrastructure investment to scale through the current cycle. For founders, the operational embedding model may prove as consequential as the check size itself, particularly as go-to-market complexity rises in contested enterprise categories.