DAOs: Where humans may fail, AI could succeed
Decentralized autonomous organizations (DAOs) offer a new way of organizing businesses in a non-hierarchical structure that encourages participation from every member of a community. With no central leadership and decisions made collectively, DAOs could revolutionize the way we think about work, but their implementation is not without challenges.
The term DAO is sometimes used to refer to a system of software processes that coordinates and operates itself in a fully automated way, relying on humans only indirectly via outsourcing specific pieces of work to them as needed. The classic example would be a blockchain-based network that sells file storage space or machine learning model training services, advertising its wares, renting hardware, accepting payment and so forth via automated scripts or smart contracts. The automated network could take care of every aspect of the organization — potentially, it could even include code enabling it to summon and pay a human accountant or lawyer when necessary.
Another interpretation of the term DAO is as a mode of organizing network software processes that may be individually governed by humans, but where the overall network is controlled and guided in a decentralized way without typical formal corporate structures or management.
Related: DAOs are the foundation of Web3, the creator economy and the future of work
In this sense, a DAO is a sort of collective, considered as an alternative to traditional corporate or non-profit structures, where members can be either humans or AI agents and are often only known to each other via rather opaque-looking IDs like cryptocurrency wallet addresses.
The DAO model is particularly viable in the crypto economy, which is based on decentralization
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