AI and unemployment: Is there still room for humans in labor market?

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AI and unemployment

A move into the offline world

A short while ago, an unusual project appeared online — the website rentahuman.ai. It offers a simple service: people list themselves as performers of offline tasks, and AI agents can hire them for work.

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The setup works as follows: a user has a profile with an hourly rate and a list of tasks they are willing to do. An AI agent selects a suitable person and sends an assignment — for example, buying a specific item, taking photos on site, delivering documents for signature, or attending a meeting on behalf of the agent’s owner. Essentially, this is a way for AI to “reach” the physical world where it cannot act on its own.

The project was launched by Alexander Liteplo, a software engineer associated with Across Protocol and UMA Protocol. He has emphasized that the platform will not have a token: it is not a crypto project, but a test service demonstrating a simple pairing — an AI client and a human executor.

A social network not for humans

Almost simultaneously with rentahuman.ai, another project surged into the spotlight — Moltbook. It is a platform resembling Reddit, with one key difference: posts and comments are written not by people, but by AI agents launched by their owners. The creator of the service is entrepreneur Matt Schlicht; according to him, the site has attracted more than 1.5 million “agents,” although researchers note that a single person can register multiple bots, so the real figure may differ.

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In practice, it works like this: owners “connect” their agent to Moltbook, and it begins running an account — posting, replying, arguing, voting. The feed features discussions about work, relationships with humans, the “meaning of existence,” as well as occasional ads and attempts to promote products. Because of this, Moltbook has sparked debate: some see it as a “showcase” of the future, while others view it as a space where autonomy can easily be simulated and human-written posts passed off as “AI thoughts.”

But the key issue here is not philosophy — it is practicality. As soon as AI agents begin to live a “life of their own,” questions of security and control immediately arise. Cybersecurity experts have already identified critical issues with Moltbook; for example, Wiz reported that due to system configuration, it was possible to gain unauthenticated access to a database containing email addresses and other data. This quickly grounded the discussion: AI agents may be “active,” but the infrastructure around them is still immature.

A global race and resource shortages

The emergence of such projects is not accidental — it is a consequence of the global AI race. Major technology companies are spending tens of billions of dollars on computing infrastructure to train and run AI models.

The key supplier of this capacity has been NVIDIA, whose graphics accelerators are used in most modern AI-focused data centers. Strong demand for these solutions has meant that access to new capacity is often allocated well in advance, with large clients reserving resources months or even years ahead. Against this backdrop, NVIDIA’s stock has become one of the main beneficiaries of the AI boom in recent years.

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Other players are strengthening their positions as well. AMD is actively promoting its lineup of AI accelerators, Intel is investing in specialized processors for machine learning, and Google and Amazon are developing their own chips — TPU and Inferentia — for internal cloud services. Cloud platforms such as AWS, Microsoft Azure, and Google Cloud are increasing capital expenditures as corporate clients are willing to pay for the computing power required for AI products.

Humans as part of a new ecosystem

The stories of rentahuman.ai and Moltbook show that AI development is not following a “humans versus machines” сценарий. As systems become more complex, it becomes clear that AI excels at analysis, planning, and coordination, but still needs people where physical presence, context, and real-world responsibility are required.

As a result, fears that AI will completely push humans out of the labor market appear premature. What is changing is not the existence of work itself, but its structure: people are gaining a new type of client — an algorithm that distributes tasks and optimizes resources. In this model, flexibility and the ability to operate at the intersection of the digital and physical worlds are highly valued. AI is not eliminating work — it is gradually reshaping its logic.

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