Ren Zhengfei once predicted that in the future, people will be divided into two categories: those who can use AI tools proficiently, and those who have the ability to produce AI tools.
There are about 10 million people employed in the domestic computer industry, less than 1% of the total population. Among them, most of the practitioners are still in the non-AI field, coupled with the high technical threshold of AI itself, there are actually very few people who can participate in the production of AI tools. The vast majority of people will be the first group of people in Ren's mouth: those who are proficient in using AI tools.
However, the high cost of learning and the general problem of low income seem to have foreshadowed that AI can only become a game for a few.
In the past, if you wanted to get involved in the computer industry, you could learn and use a large number of free learning resources and open-source frameworks on the Internet. But not anymore, the cost of learning AI is too high. Some popular and efficient AI tools have long begun to shift to a charging model.
The subscription cost of ChatGPT is currently 140 yuan per month, but the number of conversations per 3 hours is limited to 50. GPT-5 is expected next year0 publishes, the subscription fee will be further**, even if not** will limit the number of conversations you have. Midjourney's minimum subscription cost is $70 per month, but it can only generate 200**, and the generation speed is slow, and if you want to subscribe to the standard plan, you need a subscription fee of $210. The subscription fee of Heygen virtual digital human is 210 yuan per month, but you can only get 15 credits, and if you want more credits, you need to pay extra. What's even funnier is that the average AI ** tool runway can only generate 4 seconds**, and it also charges a subscription fee of 80 yuan, and it also limits the total generation time, I really can't imagine how expensive it will be if he develops better in the future. Some TikTok bloggers tell you that the AI tools they use are completely free, but they never mention that the stable diffusion they use can't play at all without a computer with high video memory, and such a computer costs at least a dollar, as long as you know stable diffusion, you will know how high the configuration requirements are. After a set of combinations, the learning cost of AI alone is hundreds of dollars per month. The question is, how many people can afford this long-term, continuous investment?
According to the "Annual Report on China's Income Distribution 2021" released by the China Institute of Income Distribution of Beijing Normal University, it shows:China has 391% of the population has a monthly income of less than 1,000 yuan, which is converted to 5There are 4.7 billion people, the number of people with a monthly income of 1,000-1,090 yuan is 52.5 million, and the total population with a monthly income of less than 1,090 yuan is 600 million, accounting for 42 percent of the national population85%, if 1090-2000 yuan is used as the standard for low- and middle-income people, the population of this group reaches 36.4 billion, and the number of people with a monthly income of less than 2,000 yuan reached 96.4 billion, accounting for more than 70% of the total population
Chinese have a large population, few resources, and very uneven development, and a large part of the population is still near the survival line, not at all like some experts or Douyin said that everyone has hundreds of thousands of savings at home.
When your income is not high, every penny you spend will be carefully calculated, and it is impossible to spend hundreds of dollars a month to invest in AI learning. However, the development of AI is too fast, the productivity is too high, and it is not yet apparent, and once AI is mature, if you don't invest, you will lose market competitiveness, which will further lead to lower revenues. As a result, you will feel less able to learn, and you will fall into a vicious cycle of "not learning because of low income, and not learning leads to lower income".
Now it has always been said that class solidification is very serious, and it is difficult for ordinary people to achieve class leapfrogging. The arrival of AI may bring opportunities to ordinary people, but it will also further accelerate the solidification of classes, and it is up to them whether they can seize the opportunities. But from the current point of view, most people are just onlookers, and very few people actually participate in the game.
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