AI digital labor describes model-driven systems acting as a scalable source of cognitive work. Depending on capability and access to tools, a system might complete bounded tasks, coordinate workflows or perform substantial portions of a job.
Digital labor can scale differently from a human workforce because additional instances may be deployed through computing capacity. Its economic effect therefore depends on model capability, compute ownership, demand, oversight and the rules governing how systems are used.
ELI5
Digital labor is productive work performed by AI systems rather than directly by people. It can range from one narrow task to a longer workflow that uses several tools and decisions.
For example, an AI system might sort support requests, draft answers, and route unusual cases to a person. Its value depends on accuracy, computing cost, oversight, and whether the surrounding process handles mistakes responsibly.
