Top enterprises and employers directly monopolize a large number of technical talents, and the team that can be retained has low demand for incubators. Internet companies living in incubators are mostly engaged in 2C business, such as developing, designing and accumulating small-scale seed users. In short, the labor cost is high at the beginning of the project, and the incubator needs to provide organizational and operational assistance. At present, most artificial intelligence projects follow the technical process of 2B. When the overall development momentum of artificial intelligence is in its infancy, what is needed is someone like Kai-Fu Lee who can do everything possible to build a platform for the industry. It is not surprising that innovation works can recruit a number of generals.

Artificial Intelligence Entrepreneur: You can't give me what I want.

First of all, let's take a look at what kind of needs artificial intelligence enterprises have for incubators.

First of all, it is naturally the same as other industries: office space, finance, legal agency, and it is best to have regular sharing meetings and roadshows.

Others are many special needs. For example, every start-up needs to reduce costs. Ordinary internet companies may be more concerned about the costs of rent, manpower and marketing. For artificial intelligence projects, the heaviest burden is likely to be hardware cost and data cost. For example, build several workstations suitable for machine learning, a paid database conducive to development, and so on. For example, media cooperation used to be an incubator owned by a lot of media capital. When a project enters an incubator, it is like worshipping a mountain and then being "accelerated" by the media. When it is replaced by artificial intelligence projects, there are not many vertical media matching it, and there is less cooperation with incubators. The communication cost between the project and the media is extremely high. Incubators can not only help the team to interpret technology, but also may kill the project with old media.

More importantly, the necessary activities of the incubator, such as entrepreneurial tutors and regular exchanges, are at a loss to give more guidance in the face of emerging technologies. After all, incubators should work together as professors. If the professor of this project is inexperienced and the academic level is worse than that of students, it is not feasible without project funds and laboratories.

Finally, it became the current situation: cutting-edge talents were harvested and distributed in BAT and capital layout, which could not form a matching and mutual assistance relationship with incubators. The threshold for non-cutting talents to start artificial intelligence entrepreneurship is too high. For them, incubators cannot provide technical guidance and other key help.