Andreessen Horowitz’s crypto workforce over the week outlined 11 areas the place blockchain networks might intersect with synthetic intelligence, laying out how crypto instruments may form identification, funds, and possession as AI techniques unfold throughout the web.
The agency framed crypto much less as a speculative asset class and extra as infrastructure that would counter rising centralization in AI by giving customers management over knowledge, identification, and financial participation.
a16z Lays Out Use Circumstances as AI Energy Concentrates
In a January 20 submit on X, a16z crypto argued that the online is shifting towards interfaces dominated by AI prompts, elevating questions on who controls knowledge, distribution, and income as conventional web sites lose site visitors.
The agency mentioned blockchains can present a impartial base layer for AI techniques by supporting persistent person context, moveable identities for AI brokers, and on-chain funds that work with out platform gatekeepers.
A number of of the concepts centered on identification and belief, with one instance being decentralized proof of personhood, which goals to assist platforms distinguish people from bots with out counting on centralized ID suppliers.
The submit pointed to current initiatives akin to World’s Proof of Human and newer techniques just like the Solana Attestation Service, which lets customers hyperlink off-chain credentials to wallets whereas conserving knowledge non-public.
Funds have been one other recurring theme. a16z described how blockchains might help micropayments between AI brokers, content material creators, and finish customers. That features income sharing when AI instruments depend on third-party content material, in addition to techniques the place internet crawlers pay websites immediately for entry to knowledge.
The agency famous that almost half of web site visitors now comes from automated sources, whereas extra web site operators are blocking AI scrapers, a pressure that has pushed firms like Cloudflare to promote blocking instruments.
The submit additionally highlighted decentralized bodily infrastructure networks, or DePIN, as a solution to pool unused compute and vitality sources for AI coaching and inference. By aggregating {hardware} from gaming PCs and knowledge facilities, these networks goal to scale back reliance on giant cloud suppliers.
Why Identification, Funds, and Possession Hold Resurfacing
Most of the concepts echoed considerations raised elsewhere within the crypto business. For instance, Ethereum co-founder Vitalik Buterin not too long ago mentioned that he plans to go away centralized social media behind in favor of decentralized platforms, arguing that shared knowledge layers enable competitors with out locking customers right into a single interface. His feedback mirrored a broader push to separate identification and content material from platform management.
The Ethereum Basis has additionally moved on this path. Final yr, it launched a brand new AI workforce centered on agentic funds and coordination, with the acknowledged purpose of constructing Ethereum a settlement layer for AI brokers and machine-to-machine transactions. Basis developer Davide Crapis mentioned on the time that AI techniques want impartial infrastructure for worth switch and status, moderately than counting on just a few giant know-how corporations.
a16z’s map doesn’t declare these techniques are near mass adoption. A number of use circumstances, together with AI companions owned by customers or totally open agent-to-agent markets, are described as longer-term concepts. Nonetheless, the agency’s define exhibits the place traders and builders assume crypto might match as AI techniques transfer from remoted instruments into always-on intermediaries between folks, knowledge, and cash.
The submit a16z Maps 11 Paths The place Crypto Meets AI appeared first on CryptoPotato.