Aug 30, 2026 · 25 min
a16z bets AI’s next phase needs a hardware rebuild
Why a16z Launched the Machine Age Fund | Jen Kha
The episode examines whether AI’s expansion will depend less on software breakthroughs than on the chips, facilities, energy, and supply chains that make deployment possible.
- 1a16z created a $1.1 billion fund for early-stage companies rebuilding the physical infrastructure beneath AI.
- 2Institutional investors increasingly want private-market exposure to AI infrastructure because much of the sector’s value remains outside public markets.
- 3Hardware startups need customer access, manufacturing expertise, and geopolitical relationships alongside venture capital.
Don't miss
Jen Kha explains why hardware investing depends on hyperscaler relationships, manufacturing knowledge, and physical deployment support beyond capital.
The brief
Jen Kha introduces a16z’s $1.1 billion Machine Age Fund, built around a simple thesis: AI’s next phase requires rebuilding the physical systems beneath software.
The fund targets early-stage companies across chips, networking, memory, cooling, data centers, robotics, and energy—suppliers that can matter even beside hyperscaler-scale spending.
AI infrastructure is becoming a national-level issue, while institutional investors seek private exposure to a market whose value still largely accrues before public listing.
The conversation tests the thesis against data-center backlash and geopolitical constraints, showing that deployment depends on public acceptance, market access, and strategic relationships.
Kha’s clearest distinction is operational: hardware diligence requires customer ties, manufacturing knowledge, and deployment expertise, not just capital or software metrics.
Featuring
a16z
United States
Bay AreaListen to the full episode and explore every guest, topic, and moment on PodLume.