AI agents could birth the first one-person unicorn — but at what societal cost?

Thanks for the advent of cloud computing and distributing digital infrastructure, the One person is micro-enterprise Far away from a fancy idea. Cheap on-demands, remote cooperation, payment processing API, social media and e-commerce marketplaces made it easy to “go alone” as an entrepreneur.

However, the key initiative of Key is about scaling that one person’s business in Mitier Unicorn Ratio?

ICally, it was not just to scale a product, it would have been an irrelevantly difficult job due to the skills and resources needed to increase and maintain the customer base. But AI agents Can break the lonely procession of the world.

AI agents are about embedded in human workflows in all softwareFree to make people more in less time. Agents work can be offered and they can decide on different degrees of autonomy. Multiple AI agents can even cooperate in supplemental work, fully autonomously paved the way for something practical.

A Interview Last year, OpenAIA’s Sam Altman predicted the exact scene with Reddit co-founder Alexis Ohanian.

“My Tech CEO is in my little group chat with friends, this betting pool for the first year that one person has a billion dollar company here,” Ultman said. “Which would have been unimaginable without AI – and now [it] Will happen “

During the annual meeting of the World Economic Forum last week, a panel of entrepreneurs and investors also discussed the possibility of a single person in a single person-and more importantly, what could be for the future of employment.

In people we believe in

Several billion dollars companies have released in recent history. Out of Microsoft Dolade $ 2.5 Billion for Meincraft Manufacturer Mozong, which was a report 40 employeesThe Facebook Achieves of WhatsApp in 19 billion dollars When the messaging app was the manufacturer’s ok 55 employeesThe Two years ago, Facebook Instagram bought for $ 1 billion With justice 13 employees In its position.

This proves that internet technology has already created large companies with minimum headcount. However, it is not like a person’s unicorn.

CampiaUnCEO of AI Research Lab ImbueWhich The building agent is enabled Regarding logic and coding, it is counted that AI is probably the kind of business that one person’s business will probably help to hurt the big time is the products where most cases are self-surrendered.

The Panel explained during the discussion that the Kiwu explained “I think the places that will be the easiest and the first one is ‘bottles up’-hi-hi-customer or prostra Explained. “I think going to the market is actually a place where all these relationships are going to be difficult to automate with other people.”

When it comes to sale it is not always a better product that can win; It is the people behind the product that has done better to build faith with customers. So if you have to actively sell your product, you may still need staff.

Qi added, “I think the confidence of human-human-belief is still very necessary and very important.”

Benjamin isUCEO Bio of AI Drug Development Agency StructureAI is about the growing role in its organization and beyond that.

“I think we are living in the most exciting region to be building companies,” Liu Davos said. “We have a PhD-level intelligence in our pocket and we start to see the AI ​​systems working the whole team. I think in that world, I-Native companies have very important benefits. “

However, Liu has echoed the feeling of Kiwu: Although a person mega-business potential is real, it is probably not understood from a business or entrepreneurial perspective-and it all comes down to human conditions that value the relationship.

Liu said, “People are likely to be there than to think.” “My point of view is that it will take a long time, because an entrepreneur is a lonely journey and you want a co-founder. Companies are still starting by people. I think you want to share the journey with some people. “

So the reality is, we can probably end up in a place where companies have always started: a founding team with complementary skills sets. However, instead of scaling through incremental recruitment, they plugged the gap with AI agents and maintained the primary sautage.

But even if a unicorn of a perverted person never happens, the coming agent AI Freight Train will not have much questions that will disrupt labor force in a big way.

“AI workers’ era”

If it still seems to be all estimated, think again. Agent AI is already entering the workforce in size Harvey Or software engineers such as Devin of knowledgeThe

AI sales agent Also the booming isWith VC-backed Establishment Proudly that it wants to replace human workforce – Such as the Distopian Billboard ad on San Francisco display the ad.

Other companies are also laid the foundation for agent AI’s development.

Fake, an HR and “People Management” platform The latest price is $ 3 billionGoing further with “digital workers” Official employee recordsThis means that its customers’ AI agents are actually displayed on the organizational chart, full of profile photos and a manager of their appointed manager.

FranklinWho joined the fake as the CEO Last yearThis transformation is called “great new era of cooperation”, where people and AI agents work side by side. And this means to manage these agents in the same type of fashion to encourage transparency and accountability.

“We want to prioritize human success as initials, and when you are working with AI agents, it is important to understand what they should do,” Franklin explained in Davos. “It is not saying that AI is a man; It is even more that we have to clearly identify where AI is. AI speaks on behalf of brands and people, decides on behalf of brands and people and integrates with other systems, we need to be able to track it. “

But if companies can handle the scale without any significant human power, what does it mean to society? People need to make money; They need the purpose – will society not just affect themselves if people cannot work?

Like the previous industrial revolutions, a AI Revolution Refrain around the general This is the new tasks that will crop in the long run – we just don’t know what they are still.

“There is also a lot of work to be created, too,” Mitchell GreenThe founder of the investment agency Lead Edge Capital, Davos. “If you think about the iPhone published in 2007 – Uber and AirBNB are now $ 1 billion companies. [They] Can’t exist before this. Opportunities are the companies that we are still not thinking about – they are going to be this next giant business. “

This does not mean that there will be no full stupa of pain in the short term. And as we are already watching DeepestAI’s advance rate is significant in the cost of performance from the cost of AI models. And it can be a key distinction compared to previous industrial and technical revolutions: we cannot be able to adapt to adequate amounts quickly.

“I think there is a lot of talk about re -training and compromising,” Liu said. “But there is a lot of unique about the speed of development and how these models are getting better, especially where we are watching these AI systems working on the whole parties.”

“Director of AIS”

There was a common sense of the panel in the panel, regardless of the change rate, not everyone should only live with AI, but also learn how to use it for the workplace success.

With You dotcomFor example, companies can access its API to bring a real-time web search on any large language model (LLM). Although it provides agents’ own suit for specific tasks, agencies Could also create Their own Custom agentChoose the AI ​​model of their preferred AI and give it instructions on the basis of any source of data needed for their connection.

“We, as CEO, are about to be the first generation that manages people and AI,” the CEO of U.com Richard Sole Davos says. “But I think the most interesting change here is that every individual contributor, every employee is about to become the director of AIS. And in that sense, everyone will become a kind of entrepreneur. “

So the jury is still out of whether we will see the unique company of a real person. However, the principle behind the feeling has already been proven to be a kind, as we have seen with the headcount ratio from the high price of WhatsApp, which Facebook worked for $ 345 million for each employee when purchasing it.

Even Nvidia, including a market cap More than $ 3 trillion dollarsContains less than relatively thin workers than 30,000 employees – It’s equivalent to about $ 100 million per employee.

It is difficult to see how AI dollar images will not go north to the headcount south of the dollar, with the right kind of company and proper performance. However, in all the possibilities, it will only come down that a person has a desire to be made alone, there is sufficient entrepreneurial knowledge to embed a strong, defensive business model that no one else can simply make a transcript of the hat.

However, it is a completely different question whether society will be ready to handle it.