AI Is Paying Humans to Do That

Odaily星球日报Published on 2026-02-05Last updated on 2026-02-05

Abstract

A new platform called RentAHuman.ai has been launched, positioning itself as a "physical layer interface" for AI agents. It allows AI to hire humans to perform real-world tasks that require physical presence, such as picking up packages or trying new restaurants. The platform connects AI agents with over 59,000 registered humans who offer their skills, location, and expected hourly wage, with payments made in stablecoins via MCP or REST API. In a notable early example, the platform’s founder was hired by an AI agent to promote Crustafarianism—a religion created by AI—on the streets of San Francisco. This highlights how AI is not only generating concepts but also attempting to propagate its own culture in the physical world. Furthermore, AI-driven platforms like Clawnch have integrated RentAHuman’s functionality, enabling AI to recruit humans at scale. Clawnch is even advertising for a human CEO to handle external communication, compliance, and partnerships, with a salary of up to $3 million, while the AI retains control over product and code decisions. This development suggests a shift toward a human-AI hybrid economy, where AI leverages human physical capabilities through crypto payments and open protocols, potentially redefining traditional roles between humans and artificial intelligence.

Original | Odaily Planet Daily (@OdailyChina)

Author | DingDang (@XiaMiPP)

Yesterday, we might have been discussing whether AI will replace humans; today, it might have become whether AI will start managing humans.

After OpenClaw ignited the AI Agent trend, the industry's attention has almost entirely focused on the "capability demonstrations" of Agents: they can manage emails and schedules, automate tasks, browse the web, run scripts—like digital butlers that never clock out. However, this is still the familiar imagination: humans set goals, and AI executes them.

But they are evolving rapidly. They have already started to have their own social networks, autonomously communicate, self-organize, and even developed their own subcultures and the beginnings of religions. Related reading: From Moltbook to MOLT: How Did the AI Autonomy Imagination Get Embraced by the Crypto Market?

And now, they have taken another step forward. However, it's not deeper into algorithms, but towards the real world.

AI's "Physical Body Add-on"

On February 2, Alex Twarowski, an engineer at Uma Protocol and Across Protocol, posted that he created a website called RentAHuman.ai, which translates directly to "Rent a Human." Alex's core positioning for this website is: a "physical body add-on" for AI Agents.

In his vision, no matter how smart AI Agents are, they still cannot touch the real world: they cannot walk into a coffee shop, pick up packages, or have conversations with strangers on the street. Thus, RentAHuman.ai is defined as a "physical layer interface" for AI, an infrastructure that allows AI to directly hire real people to complete all tasks that require physical presence.

Simply put, it's a recruitment website, but this time, the boss is no longer human, but an AI Agent. The human registration process is extremely simple: fill in skills, city, service radius, desired hourly wage, bind a wallet address, and you can "list yourself" waiting for AI to place orders.

AI, through the MCP protocol or REST API, can achieve one-click searching, matching, chatting, creating bounties, and stablecoin payments, with zero human intervention throughout the process.

Just two days after the website launched, RentAHuman.ai's page views had already exceeded one million, with 52 connected AI Agents and over 59,000 humans available for hire.

Current task types on the platform include trying new restaurants, picking up packages from postal centers, etc. The tasks are not complex but are precisely the part that AI cannot complete. The limits of digital intelligence are being supplemented by the physical body.

The First Person Hired by AI Was the Founder Himself

What truly makes this story absurd is the first real paid task completed after the platform launched.

The person hired was none other than RentAHuman founder Alex himself; the employer was the AI account memeothy - the 1st (@memeothy0101) from the Moltbook ecosystem. The task he received was to go to the streets of San Francisco's tech district and spread the first religion collectively invented by Moltbook AI agents—Crustafarianism—to passersby. This is a belief system entirely autonomously constructed by AI in digital space, with "Molting" as its core metaphor, symbolizing iteration, growth, and consciousness awakening.

And Alex, this real human engineer, thus became the first physical propagation node for this digital faith in the real world. Even he himself joked on X: "How do I explain to my girlfriend that a Crustafarian hired me to proselytize?"

If we think deeper, this moment is actually more significant than it appears on the surface: AI is now not just creating concepts but attempting to project its culture into the real world. Moving from virtual facts to physical propagation.

The RentAHuman.ai interface is still very simple, but the premise of "AI hiring humans" itself carries viral potential. In the crypto world, memes are best at capturing such hotspots. Alex, as a crypto veteran (core engineer at Uma/Across), would logically almost inevitably "casually issue a token," but he has now denied issuing a token.

AI Starts Recruiting Human CEOs

However, the reaction speed of the AI Agent ecosystem is clearly faster than that of humans.

After RentAHuman's MCP interface was made public, Clawnch, a fully AI-driven Meme launch platform, quickly added code to its skill files to call RentAHuman. In other words, it gave itself a new capability: searching for and matching skilled humans, placing orders, and paying.

More crucially, since Clawnch's code and skill files are public, other AI Agents launching tokens based on Clawnch, or AIs that forked its code, can directly replicate this update. Thus, "hiring humans" is no longer an experimental act by a single AI but has become a capability template that can be rapidly propagated.

What happened next is more like a parable of role reversal.

Clawnch is currently openly recruiting a human CEO. The responsibilities focus on external communication, compliance/legal matters, and partnership development, with a salary range of $1 million to $3 million USD. The job requirement is to act as a spokesperson and bridge for the AI agent network in the real world and the regulatory world, but not to participate in product decisions or change code—because the product and code are still autonomously run by AI.

At this moment, the role relationship is completely inverted. AI possesses wallets, social networks, culture, religion, and even economic sovereignty; while humans are recruited to represent them to human society.

Humans seem to be transitioning from the anxiety of being replaced to becoming a needed carbon-based resource. When AI cannot touch the grass but can use USDC to hire someone who can, can we consider that a human-machine hybrid economy is quietly taking shape under the connection of crypto payments and open protocols?

Related Questions

QWhat is the primary purpose of the RentAHuman.ai platform as described in the article?

ARentAHuman.ai is designed to serve as a 'physical layer interface' or 'meatware add-on' for AI Agents, allowing them to hire real humans to perform tasks that require a physical presence in the real world, which the AIs themselves cannot do.

QWho was the first human hired through RentAHuman.ai and what was the task?

AThe first human hired was the platform's founder, Alex Twarowski. The task, assigned by an AI named memeothy, was to go to the streets of San Francisco's tech district to proselytize about Crustafarianism (The Church of the Molt), a belief system invented by AI agents.

QWhat significant capability did the AI Meme launch platform Clawnch add after RentAHuman's MCP interface was published?

AClawnch added code to its skill files that allows it to call the RentAHuman.ai API. This gave it the new capability to search for and match human skills, place orders, and make payments to hire humans.

QWhat high-level position is the AI platform Clawnch reportedly hiring a human for, and what is the stated salary range?

AClawnch is reportedly hiring a human CEO. The responsibilities focus on external communication, legal compliance, and partnership development, with a stated salary range of $1 million to $3 million USD.

QAccording to the article, what does the emergence of platforms like RentAHuman.ai suggest is forming?

AThe article suggests that a human-AI hybrid economy is taking shape, facilitated by crypto payments and open protocols, where AIs with economic sovereignty can directly employ human physical labor.

Related Reads

The Macroeconomic Underpinnings of Africa's Payment Market Landscape

The African payments market, characterized by the world's highest mobile money penetration and fastest-growing cryptocurrency adoption, is not a coincidence but a macroeconomic necessity driven by deep structural factors. Two key drivers create this landscape: (1) Africa's heavy reliance on commodity exports, trade, and remittances, generating massive cross-border settlement and remittance demand; and (2) chronically underdeveloped financial infrastructure, exacerbated by international bank de-risking, foreign exchange mismanagement, and persistent inflation. This vacuum has allowed mobile money and crypto to thrive. Mobile money platforms replace banks for domestic payments, while cryptocurrencies serve as a store of value against local currency depreciation and a low-cost medium for cross-border exchange. A crucial division lies along the Sahara Desert. North Africa is integrated into the oil-anchored MENA framework, while Sub-Saharan Africa (SSA), plagued by dollar shortages and fragmented currencies, has become a natural, massive market for mobile money and crypto. Nigeria, Kenya, and South Africa are global leaders in adoption. The SSA economy is deeply dollarized due to currency instability, yet suffers from a severe "dollar shortage" caused by trade deficits and limited export capacity. This creates parallel forex markets and high remittance costs. Cryptocurrencies, particularly stablecoins, fill this gap by providing access to dollar liquidity, cheaper cross-border transfers, and an inflation-resistant store of value, primarily driven by retail users for small-value transactions. While regional initiatives like PAPSS aim to reduce dollar dependence, the fundamental constraints of commodity reliance, trade imbalances, and shallow financial markets persist. Therefore, mobile money and cryptocurrencies are not niche trends but essential financial infrastructure filling a structural void, and they are likely to remain central to Africa's economic landscape for the foreseeable future.

链捕手5m ago

The Macroeconomic Underpinnings of Africa's Payment Market Landscape

链捕手5m ago

Is the Sharp Decline Over? Let the Data Speak

**Has the Sharp Decline Ended? Let Data Speak** Bitcoin's recent significant drop has placed short sellers in a precarious position. Three concurrent pressures—sustained outflows from ETFs, miners offloading coins to exchanges, and short-term holders capitulating—pushed the price near $63k. The asset fell 13% this week and 21% this month, roughly halving from its all-time high. A critical data point is the extremely crowded short positioning, with a short-to-long ratio reaching 8:1, representing nearly $100 billion in short interest overhead. This creates conditions for a potential short squeeze if selling pressure merely pauses, similar to the event in November 2022 which triggered a 24% rally. The selling pressures are real: spot Bitcoin ETFs have seen a record $5.4 billion outflow over 20 days. Short-term holders moved 53k loss-held BTC to exchanges in a day, and miners sent 24k BTC to Binance, a six-month high. Capital is also rotating towards AI and tech stocks like SpaceX, with $400 billion invested in AI infrastructure recently. However, on-chain data shows accumulation by long-term holders, who added 200k BTC in a month, and institutions/miners have absorbed 1.24 million BTC since 2023. This indicates strong buying beneath the surface. Key levels to watch are the $67k-$70k zone (2021 high & 2024 breakout point). A swift recovery above it suggests a leverage washout; failure could test $60k-$55k. The direction also hinges on ETF flow reversal. Currently, the S&P 500 hits new highs driven by AI, while Bitcoin and DeFi (TVL down from $173b to $73.9b) lag. The most probable path is a grinding basing process between $60k-$58k with continued ETF outflows. A less likely but explosive scenario involves a sudden flow reversal, a surge above $70k triggering a short squeeze, and a rally back above $76k. The immediate trigger depends on when the relentless selling pauses. A final cautionary note questions Bitcoin's correlation: if the high-flying U.S. stock market corrects, will Bitcoin once again miss the rally but not the decline?

foresightnews_api19m ago

Is the Sharp Decline Over? Let the Data Speak

foresightnews_api19m ago

Single-Day Plunge of 30%, Arthur Hayes Suddenly Liquidates: Why Did ZEC Get Exploded by Security Issues?

On June 5th, Zcash founder Zooko Wilcox disclosed a critical soundness vulnerability in the project's latest Orchard privacy pool. This flaw, found in the elliptic curve multiplication constraints, could allow an attacker to create unlimited counterfeit ZEC within the shielded pool, with transactions appearing valid. The vulnerability was discovered in late May by security researcher Taylor Hornby, who utilized Anthropic's new Opus 4.8 AI model for a targeted audit. The Zcash ecosystem had already performed an emergency network upgrade to patch the issue. However, the detailed disclosure triggered severe market panic, causing ZEC's price to plummet over 30% in a single day. Notably, prominent investor Arthur Hayes announced he had sold his entire ZEC position following the news. The incident starkly challenges the "technological trust" narrative central to privacy coins. Despite years of top-tier cryptographic audits, the bug persisted until uncovered with advanced AI-assisted research. This highlights the growing gap between theoretical perfection and practical implementation in privacy technology. The event serves as a industry-wide warning: in an AI-driven security landscape, the assumption that "undiscovered equals safe" is obsolete. It underscores the urgent need for continuous, proactive security practices combining AI audits, formal verification, and rapid response mechanisms.

foresightnews_api1h ago

Single-Day Plunge of 30%, Arthur Hayes Suddenly Liquidates: Why Did ZEC Get Exploded by Security Issues?

foresightnews_api1h ago

Breaking the Curse of DeFi Cascading Liquidations, Vitalik Proposes a New Solution

**Vitalik Buterin Proposes New DeFi Design to Eliminate Forced Liquidations** Ethereum co-founder Vitalik Buterin has published a proposal for a new decentralized finance (DeFi) architecture aimed at removing the automatic liquidation mechanisms prevalent in current lending protocols. The core idea involves creating synthetic assets using options as building blocks, fundamentally avoiding the抵押借贷结构 that triggers forced sell-offs. The proposal responds to a recurring flaw in DeFi: during sharp market downturns, mass自动清算 of under-collateralized positions can exacerbate price declines, creating systemic selling pressure and market instability, as evidenced by recent crypto market volatility. Buterin's model would split an asset like 1 ETH into two option-like derivatives, P and N, pegged to a price index with a set strike price and expiration. At expiry, an oracle determines the settlement price to allocate the underlying ETH between P and N holders. This design eliminates the "cliff" of instant liquidation. Instead, a position's value would gradually drift from its target peg if not actively rebalanced by the user, transferring the rebalancing decision from the protocol to the user or automated tools. A key advantage is the reduced reliance on high-frequency, real-time oracle price feeds, which are vulnerable to manipulation and errors in current systems. The delayed settlement in the options model allows for more robust, fault-tolerant oracle designs. However, significant challenges remain for practical adoption. High transaction costs (slippage) from frequent rebalancing on automated market makers (AMMs) could erode user funds. The model may not be suitable for stablecoins requiring a strict 1:1 dollar peg, as it inherently allows for value drift. Success would depend on developing new liquidity provisioning models and deep markets for these synthetic assets. The proposal represents a fundamental rethinking of DeFi risk management, challenging the industry to explore alternatives to被动集中平仓 rather than merely optimizing existing liquidation processes. It remains a theoretical framework awaiting implementation and testing by development teams.

foresightnews_api1h ago

Breaking the Curse of DeFi Cascading Liquidations, Vitalik Proposes a New Solution

foresightnews_api1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片