Thu. Apr 24th, 2025
Ai Agents Can Generate The First Unicorn, What Kind Of

Thanks to the appearance of cloud computing and distributed digital infrastructure One micro -enteled prize It is far from a novel concept. Inexpensive on -demand calculations, remote collaboration, payment processing APIs, social media, and e -commerce markets are all easy to go as an entrepreneur.

But how about expanding that one business to something with a lot of flesh?

Historically, this was an immeasurable tough work for the skills and resources needed not only to expand the product, but also to grow and maintain a rich customer base. However, AI agents can solve the world solo processing.

AI agents are to embed human workflows in software and release more things in less humans. You can assign tasks to agents and make decisions with various degree of autonomy. Multiple AI agents can even cooperate with complementary tasks and open the actual work completely autonomously.

in Interview Last year, with Alexis Ohanian, a co -founder of Reddit, Openai’s Sam Altman predicted this accurate scenario.

“In my small group chat high -tech CEO friend, there is a pool for this bet in the first year that there is one company,” Altman says. “I couldn’t imagine this without AI -now [it] It happens. “

In the discussion at the Annual Meeting of the World Economic Forum held last week in Davos, entrepreneurs and investors also discussed the outlook for a single $ 1 billion company.

We trust

The recent history has revealed the majority of hundreds of dollars of large -scale companies. Microsoft paid $ 2.5 billion for Minecraft Maker Mojang. 40 employees。 Facebook acquired WhatsApp for $ 19 billion when the message app maker just had 55 employees。 Two years ago, Facebook purchased Instagram for $ 1 billion. 13 employees At that rank.

This proves that Internet technology has already created a huge company with the minimum employment. But this is not the same as a single unicorn.

KanjiUN QIUAI Research Lab CEO ImmersWe believe that if it is an agent of a building that can be inference and coding, the most likely business of AI is the most likely business is a product mainly self -service.

“I think it’s the easiest, and the first thing that doesn’t require a team that is on a large -scale market (either consumer or promot),” was in a panel discussion. I explained. “I think that going to the market is actually one of the difficulties to automate all of these relationships with others.”

Regarding sales generation, winning is not always a good product. The people behind the product did a good job rather than building trust with customers. Therefore, even if you need to actively sell products, you may need to upgrade the staff.

“I think the trust from humans to humans is still very needed and very important,” QiU added.

Benjamin LIuAI Drug Development Company Formation Bio CEO is bullish on his company and the growth role that AI has.

“I think we live in one of the most exciting fields, the building company,” LIU said in Davos. “We have PHD-level intelligence in pockets. We are starting to see the AI ​​system working on the whole team. In that world, AI-Native companies have a considerable advantage. I think.

However, LIU repeated QiU’s emotions. The possibility of one mega business is real, but in fact it may not be meaningful from a business or entrepreneurian point of view.

“The possibility of getting there is faster than people think,” LI said. “In my opinion, being an entrepreneur is a kind of lonely journey, and it takes a long time because I want a co -founder. Companies are still started by humans. For some people. I want you to share your trip. “

So, in reality, we may reach the place where companies have always started, that is, the established team with a complementary skill set. However, instead of expanding gradually, they maintain the AI ​​agent plugging in the gap.

However, even if the legendary first -person unicorn does not happen, there is almost no question that approaching Agent AI freight trains will greatly confuse labor.

“AI era of AI employees”

If all this looks hypothetical, think again. Agent AI has already participated in labor in the form of lawyers like Harvey and software engineers. Cognitive Devin

AI sales agent Also, it is boomingand VC back Companies such as craftsmen I want to replace human labor -In the San Francisco Billboard Advertisement shows.

Advertising of AI company craftsmen.Image credit:Justin Salivan /Getty Image

Many other companies also have a foundation for agent AI to prosper.

Lattice is further advanced by the last $ 3 billion HR and the “Human Resources Management” platform provide digital workers. Standard employee recordIn other words, the customer’s AI agent is actually displayed on the organization chart, full of profile photos and managers assigned to them.

Sarah FranklinI participated in Lattice as CEO last yearIt is called this transition, and it is called the “great era of collaboration” where humans and AI agents work side by side. What this means is to manage these agents in the same way as humans to promote transparency and accountability.

“We want to give priority to the success of people as a primary. It is important to understand what they are doing when cooperating with the AI ​​agent,” Franklin explains in Davos. did. “I don’t mean that AI is a human. It is necessary to clearly identify where AI is. AI speaks on behalf of brands and people, and make decisions on behalf of brands and people. You need to track it to integrate with other systems.

Includes a lattice tissue chart including Piper AI
Includes a grid tissue chart including Piper AI.Image credit:lattice

But what does this mean to society if a company can operate on a large scale without important human labor? People need to make money. They need their goals -If people can’t work, will society break their own?

Like the previous Industrial Revolution, A General reserve around the AI ​​Revolution New jobs will occur in the long term -we don’t know what they are.

“There are many employment creations” Mitchell GreenDavos said in Davos, the founder of the investment company lead edge capital. “Considering when the iPhone was released in 2007, Uber and Airbnb are currently $ 100 billion. [They] It would not have existed before this. What we can have is a company we haven’t yet considered. They will be the next huge business. “

But that doesn’t mean that there is no pain in the short term in the short term. Also, as already seen in China’s AI -like DEEPSEEK, the speed of AI forward is important in terms of cost -to -performance ratio of AI models. And this can be an important differentiation factor compared to the previous industrial and technology revolution. We may not be able to adapt quickly enough.

“I think there are a lot to talk about re -training and up skill,” Li said. “However, there is a very unique thing that the development pace and how fast these models are, especially the work of these AI systems working on the whole team.”

“AIS manager”

Between the panels, there was a common consensus that not only live with AI, but also to learn how to use it in the workplace, regardless of the rate of change.

For example, on You.com, companies can access APIs and use real -time web searches to large language models (LLMs). We provide our own agent suite for specific tasks, but companies You can also create it They themselves Custom agentSelect your favorite AI model and give instructions based on the data source that needs to be connected.

“We will be the first generation to manage people with people as a CEO,” he said. Richard Bullying I said in Dabos. “But the most interesting change here is that all the individual contributors, all employees, are all employees of AIS, and in that sense, everyone is a kind of entrepreneur. It will be.

Therefore, JU is still doing a lot of things about seeing a true unicorn company. However, the principle behind emotions has already been proven, as seen at a very valuable WhatsApp, who worked for $ 345 million for each employee when Facebook was purchased.

Even NVIDIA, which has a market capitalization of $ 3 trillion or more, has a relatively small labor force. 30,000 employees -This is equivalent to about $ 100 million per employee.

It is difficult to see AI heading north, north, north, south to south with appropriate type of company and appropriate execution. But perhaps it depends on whether one person wants to build alone.

However, it is completely different questions whether society is ready to process it.