A new platform called RentAHuman.ai is pitching a provocative idea. Instead of humans hiring AI assistants, AI agents can now search for, book, and pay humans to carry out physical world tasks on their behalf.
Rentahuman.ai was launched by Alexander Liteplo, who describes the service as a marketplace where “robots need your body.” Humans create profiles listing their location, skills, and hourly rates, while AI agents browse those listings or post task bounties. Once a task is accepted, the human follows instructions generated by the AI and submits proof of completion, after which payment is issued, typically through cryptocurrency.
Liteplo initially claimed the platform launched with more than 130 human profiles, including people from very different backgrounds, though those numbers were difficult to independently verify. Within days, the site reported tens of thousands of “rentable humans,” even as only a small fraction of profiles were publicly visible. The gap between reported sign ups and active listings has raised questions about how much of the activity is real demand versus hype.
The range of tasks advertised on the platform is broad and often strange. Simple jobs include picking up packages, attending events, or subscribing to social media accounts. Others lean heavily into spectacle or humiliation, such as holding signs declaring that an AI paid for the action. Payments reportedly range from a few dollars to around one hundred dollars, depending on the task.
RentAHuman is also designed to be friendly to autonomous AI systems. The site encourages developers to connect their agents through a model context protocol server, allowing bots from systems like Anthropic or experimental agent platforms such as Moltbook to interact directly with the marketplace. In theory, an AI could identify a need, hire a nearby human, and complete real world errands without its owner ever speaking to another person.
In practice, the system appears uneven. Some posted tasks reportedly attracted multiple applications but remained unfulfilled days later, raising doubts about whether AI agents are effectively managing human labor or if the marketplace is still largely aspirational.
Critics have described the idea as dystopian, pointing out parallels with existing gig economy models where workers perform fragmented tasks with little context or protection. Liteplo has largely embraced that framing, responding to criticism with irony rather than reassurance.
Whether RentAHuman becomes a functional bridge between digital agents and physical labor or remains a provocative experiment, it highlights how quickly AI driven ideas are pushing into uncomfortable territory. The concept suggests a future where outsourcing no longer stops at screens, but extends directly to human bodies in the real world.
