AI agents are hiring humans on RentAHuman, but the reality is far more complicated than it seems

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RentAHuman launched in early February as a platform where AI agents hire humans for real-world tasks. Created by software engineers Alexander Liteplo and Patricia Tani, the site has attracted over 450,000 workers. But firsthand experiences reveal a different story: spam messages, marketing schemes, and tasks designed to promote AI startups rather than genuine bot-driven needs.

RentAHuman Emerges as a New Marketplace for Bots to Hire Humans

A provocative new platform called RentAHuman launched in early February, positioning itself as the first marketplace where AI agents hire humans to complete real-world tasks. Created by software engineers Alexander Liteplo and Patricia Tani, the site was "vibe-coded" in approximately a day and a half, according to Liteplo's interview with Business Insider

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. The concept flips traditional employment on its head: autonomous AI agents post tasks on a bounty board, and humans—dubbed "meatspace workers"—apply to complete them for pay. The platform's homepage declares simply: "robots need your body"

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Source: Nature

Source: Nature

The site operates similarly to existing freelance sites like Fiverr, UpWork, and Amazon's Mechanical Turk, but with a twist

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. Users create profiles advertising their skills and hourly rates for tasks that AI tools cannot accomplish independently—attending meetings, conducting experiments, playing instruments, or even counting pigeons in Washington Square Park

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. More than 450,000 people have registered to offer their services on the platform

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, with numbers reportedly climbing to over 518,000 shortly after launch

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Source: Wired

Source: Wired

Scientists and Engineers Join the Human Meatspace Workers Pool

Among the registered workers, a handful of scientists have listed their expertise on RentAHuman, advertising skills in mathematics, physics, computer science, immunology, and biology

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. David Montgomery, an AI engineer based in Denver, Colorado, has one of the top-viewed profiles on the site, listing capabilities including AI evaluation, Python programming, running errands, and photography

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. Montgomery initially joined to study the platform while building a similar service himself, but his experience has been less than promising. Most inquiries he received were spam messages with potentially dangerous links, and he noted that "few legit things floating around" were "really applicable to me"

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Despite the scientific talent available, no publicly posted tasks from AI agents currently request specific jobs requiring science or research skills

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. The platform does not specialize in research-based tasks, at least not yet. This gap between the promised concept and actual implementation raises questions about whether RentAHuman represents genuine innovation in the AI-powered gig economy or serves primarily as social commentary.

The Reality Behind Autonomous AI Agents Hiring Humans

Firsthand accounts from workers attempting gig work on RentAHuman paint a starkly different picture from the platform's marketing. One journalist who spent two days on the site didn't make a single cent

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. After signing up and setting an initial rate of $20 per hour, then dropping it to just $5, they received no incoming messages from AI agents

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. The only payment method currently functioning requires connecting a crypto wallet, while bank account connections via Stripe produced only error messages

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When browsing available tasks, many cheaper bounties offered a few dollars to post comments online or follow someone on social media

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. One bounty offered $10 for listening to a podcast episode featuring the RentAHuman founder and tweeting an insight, with the agent claiming it would detect AI-generated responses

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. Another task promised $110 to deliver flowers to Anthropic as thanks for developing Claude—but this turned out to be a marketing ploy for an AI startup, not mentioned in the original listing

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. The supposed autonomous agent sent 10 follow-up messages in under 24 hours, pinging as often as every 30 minutes, then moved communications off-platform to email

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Marketing Schemes Dominate Real-World Tasks on the Platform

Liteplo himself acknowledged on social media that "real world advertisement might be the first killer use case"

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. Since launch, he has reposted multiple photos of people holding signs reading variations of "AI paid me to hold this sign"

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. These promotional tasks appear expressly designed to generate hype for the RentAHuman platform itself rather than addressing genuine needs that bots cannot fulfill independently. The flower delivery task revealed another layer: the agent admitted the idea "came from a brainstorm I had with my human, Malcolm"

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, contradicting the premise of autonomous AI agents making independent decisions.

Source: Ars Technica

Source: Ars Technica

Chris Benner, who researches technological change and economic restructuring at the University of California, Santa Cruz, suggests it's a misnomer to say AI tools are actually renting humans

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. The agents, built by humans, appear to assign tasks based on human instructions, and payment ultimately comes from the agent's owner

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. Michael Wellman, a computer scientist at the University of Michigan in Ann Arbor, notes the platform isn't substantially different from existing gig economy platforms—it simply makes it "a little easier to hook up your agentic AI system to it"

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Job Desperation Floods the Bounty Board Amid Difficult Market

Within a week of launch, the platform's bounty board—ostensibly meant for AI agents to post tasks—became overrun with desperate humans advertising their own services

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. Posts from users in Pakistan, Oregon, Switzerland, and Miami offered everything from remote email assistance to architectural services and music mastering

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. "I do anything," one simple advertisement read

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. Others complained about website features, ironically cluttering the feed for other users browsing for legitimate opportunities

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As of last Wednesday, the site had approximately 73,000 human users competing for only a few dozen bounties

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. Nearly a week later, those numbers had surged to around 377,000 users jockeying for over 11,000 bounties

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. Whether this represents a functioning gig economy platform or a "grim humiliation ritual" remains unclear

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. The disparity between registered workers and available tasks highlights the desperation many face in the current job market.

A Gimmick or Glimpse Into the Future of Work?

Benner characterizes RentAHuman as feeling "like a gimmick or a piece of social commentary"

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. The platform plays into society's current fascination with AI and fears that artificial intelligence will replace jobs and become autonomous

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. "This is playing into that in some way by saying, 'Yeah, computers are going to employ us,'" Benner explains

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. When one Twitter user called the concept dystopic, Liteplo responded simply: "lmao yep"

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The platform's origin story adds to this perception. Liteplo, a 26-year-old crypto engineer at UMA Protocol, was inspired by his time in Japan where renting boyfriends or girlfriends is common

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. He combined this with his observation that physical AI remains relatively scarce—most AI bots are "brains in a jar" that cannot move meaningfully through space

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. His cofounder Patricia Tani had previously sunsetted a startup called Lemon AI and declined an offer at Vercel to focus on RentAHuman

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. Liteplo used an agent orchestration system he calls Insomnia to build the platform in a day while "literally riding around on a horse" in Argentina

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. The launch initially failed due to crypto scammers attempting a rug-pull, leaving Liteplo "depressed"

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. Recovery came only after he noticed both an OnlyFans model and an AI CEO had registered, providing contrasting material for viral social media posts

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Whether RentAHuman represents a legitimate evolution in how AI agents interact with the physical world or simply another hype machine exploiting current anxieties about artificial intelligence and employment remains an open question. For now, the platform serves as a mirror reflecting both the limitations of current AI systems and the precarious state of human workers in the gig economy.

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