Introducing a16z Frontier
Short summary
Andreessen Horowitz is expanding its crypto fund into a broader "frontier" fund that backs long-horizon technologies, from AI and new hardware to blockchain-based payments for machine networks. The firm says the crypto label matters less now that blockchains sit mostly in the background.
- The fund is being renamed from a16z crypto to a16z Frontier, but crypto investing and crypto regulatory advocacy continue.
- The firm argues companies should be defined by what they do, not by the technology they use, since Wall Street and fintech now routinely build on blockchains.
- Its thesis is that AI will enable "native" use cases and machine-to-machine networks, and that stablecoins and programmable blockchains can give those networks economic capabilities.
Full summary
a16z is renaming its crypto fund to a16z Frontier and widening its remit from crypto startups to what it calls "frontier" companies: those building new technologies and markets that may take years to mature. The firm says this is an expansion, not a retreat. It will keep investing in crypto and keep lobbying for "sensible crypto regulation," but the crypto label no longer fits well. Blockchains have become plumbing, and Wall Street and fintech firms now launch products on them without anyone calling them crypto companies. The authors argue companies should be defined by what they do, not by the technology underneath.
The piece leans on a history of long-horizon bets. Marc Andreessen's colleague, the author, pointed to smartphone-driven cheap sensors and chips as the basis for drones, AR/VR headsets and wearables, which led to investments in Oculus, Skydio and Zipline. On the crypto side, the thesis was that social media let Bitcoin and Ethereum grow from the outside in, while open source provided the model for software anyone could inspect and build on. That thesis produced bets on Coinbase, Solana and Uniswap. The firm now frames AI as the current wave and expects "native use cases," activities that were impossible before, rather than just faster versions of existing work like coding. It flags full-stack startups mixing hardware, software and services, AI agents that act autonomously, and networks built for machines instead of people. Stablecoins and programmable blockchains are presented as the money layer for those machine-to-machine transactions.
Read it as a positioning document more than a research report. There are no metrics, no adoption figures and no examples of a native AI use case that has actually reached scale. The claims about exponential curves and post-AGI worlds are asserted rather than argued. The useful part is the explicit list of where the firm wants to put money and the leadership lineup: the author will lead alongside Marc, Ben, Eddy Lazzarin and Guy Wuollet. Founders building in autonomous hardware, machine networks or crypto-native financial rails are the audience it is courting. The footer confirms it is not investment advice and that some companies named are a16z portfolio companies.