# Generative Logic of Digital Capitalism Based on Artificial Intelligence Technology

Authors: Zongrui Li
Journal: Mobile Information Systems
 (2022)

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## Abstract

In the era of digital capitalism, machines and technology have gradually become the main body that dominates workers. Information technology is actually the digital embodiment of mass machine production. It is with the help of ICT and digital technology that digital capitalism realizes the digital transformation of the way capitalism exists and the proliferation of digital capital. The purpose of this paper is to study the generative logic of digital capitalism based on artificial intelligence technology. Compare the production, circulation, consumption of traditional commodities, and the production of digital capital, explore the nature of digital capitalism and the differentiation of digital capitalism in the era of artificial intelligence, analyze the impact of artificial intelligence on labor polarization, and the results show the high-skilled labor force in the eastern region. The ratio to the medium-skilled labor force is 0.086. Take theM enterprise in capitalism as an example, and study the application of artificial intelligence to the energy and power industry to provide value to customers through new products. The new changes in contemporary artificial intelligence capitalism solve the problems in the operation of the original business model, benefiting both customers and enterprises.


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## Body

## 1. Introduction

With the development of information technology, the popularization of the Internet and the continuous upgrading of digital terminals, “digital survival,” is changing from prophecy to reality. As long as you download some software on your smartphone, you can meet the basic needs of clothing, food, housing, and transportation, and everyone is coerced. Entering the tide of digitalization, we are told that the reality of the digital age is coming [1, 2]. In this process, contemporary capitalist productivity and labor productivity have been significantly improved, and labor methods and labor values have undergone major changes. The social and economic life of capitalism is quietly changing, which further accelerates the evolution and evolution of the capitalist social form [2, 3].Artificial intelligence technology was first a branch in the field of computer science. After more than half a century of development, various theoretical and practical problems derived from artificial intelligence technology are not only problems in the field of computer science, but also problems in the field of computer science, the key issues for discussion and research in the social sciences [4, 5]. At the same time, Marxist theory, as an important part of social science, also has theoretical explanation strength and practical criticism dimension for artificial intelligence technology [6]. Based on the existing research results in academia and the application of Marxist theory, this paper explores the nature and impact of artificial intelligence, and scientifically analyzes the possible impact of artificial intelligence technology in the application of capitalist production methods and artificial intelligence. The correct application of technology has certain theoretical and practical significance [7].With the development of research arguments on the development process and new changes of capitalism, many new progresses have been made abroad on the essential characteristics and new changes of contemporary capitalism [8]. Khalil explores how countries and businesses are responding to and adapting to technological change, and how each country and business can reaffirm their role in the digital age. They argue that a symbiotic relationship is developing between states and institutions in the context of disintegrating digital capitalism. This relationship allows two things to govern themselves, balance their interests, and avoid harmful consequences and consequences [9]. Roy highlights Engels’s definition of classroom work thinking in the age of digital capitalism with data from Aotearoa University, Dunedin, New Zealand, with a well-developed business plan on extensive and well-organized social media. Let them manage the property. In the process, he discusses how digital capitalism uses social media and related platforms for commercial investment to maintain the accumulation path in the capitalist social system by further exploiting the working class. Therefore, it is necessary to analyze the basic science of digital capitalism, explain the new trends of digital capitalism, and look for the future of human freedom and communism in the Internet world controlled by the capitalist state in which it developed [10, 11].This paper expounds the reasons for choosingM enterprise as a case and introduces the specific sub-cases involved in the research; in the data collection part, it introduces the sources and methods of data collection; in the data analysis part, it briefly expounds the method of processing the case data method. The original evidence is extracted, and based on this, the company’s entrepreneurial path and entrepreneurial incubation path that form the M enterprise digital entrepreneurial ecosystem are described, respectively; the formation process of the M enterprise system under artificial intelligence technology is described. The formation mechanism of the positive meaning of the new changes in contemporary capitalism has been deeply studied, and the unity of theory and practice has been realized.


## 2. Research on the Generative Logic of Digital Capitalism Based on Artificial Intelligence Technology

### 2.1. The Specific Process of Data Capitalization

The digital technology of today’s developed capitalist countries is relatively mature and advanced, and many powerful Internet companies have emerged. The five largest companies by market value in the USA are Internet companies, namely, Apple, Google, Microsoft, Amazon, and Facebook. A large part of the income of these five Internet companies comes from the collection and application of data [12, 13].On the one hand, Internet companies hold vast amounts of user data. For example, Apple products generally load the IOS system, and the data will be uploaded to the company's database. Similarly, Facebook also controls the user’s social network data; Amazon also controls the consumer’s transaction payment data; Google controls the user’s query and browsing data; Microsoft controls the user’s office data [14, 15]. On the other hand, they use the massive data collected as raw materials to produce intelligent tools such as language translation and visual recognition, which can be sold to other companies or used by themselves to improve user experience, attract more users, and enhance their own market. You can also directly sell these data to data analysis companies or Internet companies, organize and analyze these data, obtain a series of intelligence and information with commercial value, and then sell them to advertisers for high returns. This is actually the process of turning data into assets and capitalizing data [16].Marx once divided human society into three stages of development. In the age of natural economy, it is the stage of man’s dependence on man; in the age of industrial economy, it is the stage of man’s dependence on things; in the communist society, it is the stage of man’s free and comprehensive development. As a postindustrial era in the digital age, human beings have not yet gotten rid of the shackles of things, and their independence is still based on the dependence of things, but the shape of things has changed, from general commodities to general data, we may be able to. Say, it is the data-dependent phase of a person [17].


### 2.2. Dialectical Criticism of the New Changes of Capitalism in the Age of Artificial Intelligence

#### 2.2.1. The Positive Significance of the New Changes in Contemporary Capitalism

Productivity is the decisive force for social development, and science and technology, as a factor of production, play an important role in the development of social productivity, the role of innovation in promoting capitalist economic development. Just like the industrial revolution and the information revolution, the technological innovation brought about by the digital revolution has also greatly promoted the development of the productive forces of capitalist society [2, 18].Digital technology has the function of liberating and developing human beings. The application of digital technology represented by artificial intelligence in production has greatly improved labor productivity, shortened the necessary labor time for commodity production, liberated laborers from dirty, tiring, and dangerous labor, and replaced some mechanical, simple, and repetitive work which gives workers more free time, and human beings can engage in more creative and autonomous work according to their own interests, especially spiritual productive activities, which promotes the free and comprehensive development of human beings and is conducive to the realization of human beings, the return of class nature.


#### 2.2.2. Contradictions and Exploitation Still Exist in Contemporary Capitalist Society

In the digital capitalist society, the logic of capital still dominates, but the way of exploitation of capitalists has changed, that is, by occupying the data resources produced by users of the network platform for free, and then processing the original data into data commodities for sale, in order to obtain profits. In the process of digital labor, not only data resources as labor products are occupied by capitalists for free, but also the means of production as raw materials for data production, that is, digital platforms, are exclusively monopolized by capitalists.People’s daily life is under the invisible monitoring of digital technology all the time. The human body information is drawn for each person. The digital platform can determine the user's browsing interest according to the user’s click-through rate and browsing time on the web page content, and push a large number of views and contents of interest to the user. The user is immersed in a long term. In the information of the subject content, if you do not have access to a variety of ideas and viewpoints, you will mistakenly think that the complex real world is single, black, and white, and you will become stubborn, paranoid, and even extreme.Capitalists have created a new resource extraction and monopoly mechanism by taking advantage of the characteristics of “nonreality, shared value-added, nonscarcity, nonexclusivity, and sharing” of data resources. The first is to create and provide digital platforms for interaction of different groups to exert network effects and achieve user aggregation. The second is to monopolize the digital platform, occupy the closed data pool, centrally control the production and reproduction process of data, and pay attention to the control of the potential productivity of data. The third is to integrate all aspects of capitalist production into digital platforms after platform creation and monopoly, thus occupying the top of the entire capital production industry chain.


### 2.3. In the Industrial Field

The public should use technology rationally and give full play to the tool properties. When individuals create for noncommercial purposes, they can use artificial intelligence to assist in creation, but they cannot rely on artificial intelligence, nor can they fully use the results. Only works that incorporate personal emotions are really good works; otherwise, it will always be just a transfer of symbols. It is impossible to become an excellent composer, writer, or painter without labor. It is necessary to realize that the abuse of technology for profit and the serious infringement of others’ copyright will be condemned and punished. Therefore, the public should use technology as a tool and do not let technology control their own creations. Proper use can improve efficiency, excessive dependence will become a narcotic, and illegal abuse can only lead to depravity.User content producers should be “production gatekeepers” to improve content quality from the source. User-generated content is accepted and becomes a resource that major media platforms compete for, which will inevitably lead to a lack of supervision in the content production process. As a content producer, we must realize that only by producing high-quality content can we achieve long-term development, and vulgar and low-quality content will be eliminated sooner or later. In the writing process, we must be self-disciplined, improve self-cultural accomplishment, and strive to contribute more in-depth articles to the society, real news, and positive energy, and at the same time realize self-worth.


## 2.1. The Specific Process of Data Capitalization

The digital technology of today’s developed capitalist countries is relatively mature and advanced, and many powerful Internet companies have emerged. The five largest companies by market value in the USA are Internet companies, namely, Apple, Google, Microsoft, Amazon, and Facebook. A large part of the income of these five Internet companies comes from the collection and application of data [12, 13].On the one hand, Internet companies hold vast amounts of user data. For example, Apple products generally load the IOS system, and the data will be uploaded to the company's database. Similarly, Facebook also controls the user’s social network data; Amazon also controls the consumer’s transaction payment data; Google controls the user’s query and browsing data; Microsoft controls the user’s office data [14, 15]. On the other hand, they use the massive data collected as raw materials to produce intelligent tools such as language translation and visual recognition, which can be sold to other companies or used by themselves to improve user experience, attract more users, and enhance their own market. You can also directly sell these data to data analysis companies or Internet companies, organize and analyze these data, obtain a series of intelligence and information with commercial value, and then sell them to advertisers for high returns. This is actually the process of turning data into assets and capitalizing data [16].Marx once divided human society into three stages of development. In the age of natural economy, it is the stage of man’s dependence on man; in the age of industrial economy, it is the stage of man’s dependence on things; in the communist society, it is the stage of man’s free and comprehensive development. As a postindustrial era in the digital age, human beings have not yet gotten rid of the shackles of things, and their independence is still based on the dependence of things, but the shape of things has changed, from general commodities to general data, we may be able to. Say, it is the data-dependent phase of a person [17].


## 2.2. Dialectical Criticism of the New Changes of Capitalism in the Age of Artificial Intelligence

### 2.2.1. The Positive Significance of the New Changes in Contemporary Capitalism

Productivity is the decisive force for social development, and science and technology, as a factor of production, play an important role in the development of social productivity, the role of innovation in promoting capitalist economic development. Just like the industrial revolution and the information revolution, the technological innovation brought about by the digital revolution has also greatly promoted the development of the productive forces of capitalist society [2, 18].Digital technology has the function of liberating and developing human beings. The application of digital technology represented by artificial intelligence in production has greatly improved labor productivity, shortened the necessary labor time for commodity production, liberated laborers from dirty, tiring, and dangerous labor, and replaced some mechanical, simple, and repetitive work which gives workers more free time, and human beings can engage in more creative and autonomous work according to their own interests, especially spiritual productive activities, which promotes the free and comprehensive development of human beings and is conducive to the realization of human beings, the return of class nature.


### 2.2.2. Contradictions and Exploitation Still Exist in Contemporary Capitalist Society

In the digital capitalist society, the logic of capital still dominates, but the way of exploitation of capitalists has changed, that is, by occupying the data resources produced by users of the network platform for free, and then processing the original data into data commodities for sale, in order to obtain profits. In the process of digital labor, not only data resources as labor products are occupied by capitalists for free, but also the means of production as raw materials for data production, that is, digital platforms, are exclusively monopolized by capitalists.People’s daily life is under the invisible monitoring of digital technology all the time. The human body information is drawn for each person. The digital platform can determine the user's browsing interest according to the user’s click-through rate and browsing time on the web page content, and push a large number of views and contents of interest to the user. The user is immersed in a long term. In the information of the subject content, if you do not have access to a variety of ideas and viewpoints, you will mistakenly think that the complex real world is single, black, and white, and you will become stubborn, paranoid, and even extreme.Capitalists have created a new resource extraction and monopoly mechanism by taking advantage of the characteristics of “nonreality, shared value-added, nonscarcity, nonexclusivity, and sharing” of data resources. The first is to create and provide digital platforms for interaction of different groups to exert network effects and achieve user aggregation. The second is to monopolize the digital platform, occupy the closed data pool, centrally control the production and reproduction process of data, and pay attention to the control of the potential productivity of data. The third is to integrate all aspects of capitalist production into digital platforms after platform creation and monopoly, thus occupying the top of the entire capital production industry chain.


## 2.2.1. The Positive Significance of the New Changes in Contemporary Capitalism

Productivity is the decisive force for social development, and science and technology, as a factor of production, play an important role in the development of social productivity, the role of innovation in promoting capitalist economic development. Just like the industrial revolution and the information revolution, the technological innovation brought about by the digital revolution has also greatly promoted the development of the productive forces of capitalist society [2, 18].Digital technology has the function of liberating and developing human beings. The application of digital technology represented by artificial intelligence in production has greatly improved labor productivity, shortened the necessary labor time for commodity production, liberated laborers from dirty, tiring, and dangerous labor, and replaced some mechanical, simple, and repetitive work which gives workers more free time, and human beings can engage in more creative and autonomous work according to their own interests, especially spiritual productive activities, which promotes the free and comprehensive development of human beings and is conducive to the realization of human beings, the return of class nature.


## 2.2.2. Contradictions and Exploitation Still Exist in Contemporary Capitalist Society

In the digital capitalist society, the logic of capital still dominates, but the way of exploitation of capitalists has changed, that is, by occupying the data resources produced by users of the network platform for free, and then processing the original data into data commodities for sale, in order to obtain profits. In the process of digital labor, not only data resources as labor products are occupied by capitalists for free, but also the means of production as raw materials for data production, that is, digital platforms, are exclusively monopolized by capitalists.People’s daily life is under the invisible monitoring of digital technology all the time. The human body information is drawn for each person. The digital platform can determine the user's browsing interest according to the user’s click-through rate and browsing time on the web page content, and push a large number of views and contents of interest to the user. The user is immersed in a long term. In the information of the subject content, if you do not have access to a variety of ideas and viewpoints, you will mistakenly think that the complex real world is single, black, and white, and you will become stubborn, paranoid, and even extreme.Capitalists have created a new resource extraction and monopoly mechanism by taking advantage of the characteristics of “nonreality, shared value-added, nonscarcity, nonexclusivity, and sharing” of data resources. The first is to create and provide digital platforms for interaction of different groups to exert network effects and achieve user aggregation. The second is to monopolize the digital platform, occupy the closed data pool, centrally control the production and reproduction process of data, and pay attention to the control of the potential productivity of data. The third is to integrate all aspects of capitalist production into digital platforms after platform creation and monopoly, thus occupying the top of the entire capital production industry chain.


## 2.3. In the Industrial Field

The public should use technology rationally and give full play to the tool properties. When individuals create for noncommercial purposes, they can use artificial intelligence to assist in creation, but they cannot rely on artificial intelligence, nor can they fully use the results. Only works that incorporate personal emotions are really good works; otherwise, it will always be just a transfer of symbols. It is impossible to become an excellent composer, writer, or painter without labor. It is necessary to realize that the abuse of technology for profit and the serious infringement of others’ copyright will be condemned and punished. Therefore, the public should use technology as a tool and do not let technology control their own creations. Proper use can improve efficiency, excessive dependence will become a narcotic, and illegal abuse can only lead to depravity.User content producers should be “production gatekeepers” to improve content quality from the source. User-generated content is accepted and becomes a resource that major media platforms compete for, which will inevitably lead to a lack of supervision in the content production process. As a content producer, we must realize that only by producing high-quality content can we achieve long-term development, and vulgar and low-quality content will be eliminated sooner or later. In the writing process, we must be self-disciplined, improve self-cultural accomplishment, and strive to contribute more in-depth articles to the society, real news, and positive energy, and at the same time realize self-worth.


## 3. Investigation and Research on the Generative Logic of Digital Capitalism Based on Artificial Intelligence Technology

### 3.1. Case Enterprise

Since its establishment more than three years ago,M enterprise has undertaken large-scale development projects in different fields and achieved good results, such as an airline’s car-hailing project, a listed company’s water management project, and a state grid power supply company’s project. The artificial intelligence recognition items are shown in Table 1. During the period of accumulation in the industry, the company is a typical technology company without actual product operation. The purpose of constantly exploring in the industry is to discover the pain points of the industry, to solve them from a technical point of view, to create their own products, to be recognized by industry investors, and to provide financing to each other with energy in different fields.Table 1
Typical projects undertaken by company M.
Project nameProject typeProject volumeCustomer typeAirline car-hailingSmart travelFinancing, valued at 150 millionB sideWater management IoTInternet of ThingsTens of millionsB sideState gridIntelligent recognitionMillionB side


### 3.2. Measurement Model

Select the eastern, central, and western regions from 2018 to 2022 to investigate and analyze the impact of artificial intelligence on the labor structure. The specific division is as follows: there are 11 provinces (municipalities directly under the central government) in the eastern region, 8 provinces in the central region, and 11 provinces (autonomous regions and municipalities directly under the central government) in the western region.Two measurement models are set as follows:(1)Lowitmidit=α1+α2lnAIit+α3Xit+λi+vt+εit,Highitmidit=β1+β2lnAIit+β3Xit+λi+vt+εit.Among them,i represents the province, t represents the time, a1 and β represent the constant term, λ: represents the individual factor, ut represents the time factor, εit represents the random error term, and the explained variable Lowit/midit represents the alignment of the low-skilled labor force in the i province and city in the period t. Proportion of skilled labor, Highit/midit, represents the proportion of high-skilled labor to medium-skilled labor in i province and city t period, core explanatory variable AI represents artificial intelligence, and Xit represents a series of control variables affecting high- and low-skilled labor, including trade outsourcing OS, industrial structure upgrade fir, urbanization level Ur, and R&D investment intensity.


## 3.1. Case Enterprise

Since its establishment more than three years ago,M enterprise has undertaken large-scale development projects in different fields and achieved good results, such as an airline’s car-hailing project, a listed company’s water management project, and a state grid power supply company’s project. The artificial intelligence recognition items are shown in Table 1. During the period of accumulation in the industry, the company is a typical technology company without actual product operation. The purpose of constantly exploring in the industry is to discover the pain points of the industry, to solve them from a technical point of view, to create their own products, to be recognized by industry investors, and to provide financing to each other with energy in different fields.Table 1
Typical projects undertaken by company M.
Project nameProject typeProject volumeCustomer typeAirline car-hailingSmart travelFinancing, valued at 150 millionB sideWater management IoTInternet of ThingsTens of millionsB sideState gridIntelligent recognitionMillionB side


## 3.2. Measurement Model

Select the eastern, central, and western regions from 2018 to 2022 to investigate and analyze the impact of artificial intelligence on the labor structure. The specific division is as follows: there are 11 provinces (municipalities directly under the central government) in the eastern region, 8 provinces in the central region, and 11 provinces (autonomous regions and municipalities directly under the central government) in the western region.Two measurement models are set as follows:(1)Lowitmidit=α1+α2lnAIit+α3Xit+λi+vt+εit,Highitmidit=β1+β2lnAIit+β3Xit+λi+vt+εit.Among them,i represents the province, t represents the time, a1 and β represent the constant term, λ: represents the individual factor, ut represents the time factor, εit represents the random error term, and the explained variable Lowit/midit represents the alignment of the low-skilled labor force in the i province and city in the period t. Proportion of skilled labor, Highit/midit, represents the proportion of high-skilled labor to medium-skilled labor in i province and city t period, core explanatory variable AI represents artificial intelligence, and Xit represents a series of control variables affecting high- and low-skilled labor, including trade outsourcing OS, industrial structure upgrade fir, urbanization level Ur, and R&D investment intensity.


## 4. Analysis and Research on the Generative Logic of Digital Capitalism Based on Artificial Intelligence Technology

### 4.1. Artificial Intelligence Promotes Workforce Polarization

The first is the eastern region. From the regression results, when the variable is AI, the ratio of high-skilled labor to skilled labor is 0.086. Artificial intelligence promotes labor polarization in the eastern region, as shown in Table2.Table 2
Subregional AI and labor polarization empirical results.
Control variableEast areaCentral regionWestern regionLow/midHigh/midLow/midHigh/midLow/midHigh/midInAI0.2580.086−0.277−0.02250.5160.044OS−0.105−0.0850.0090.0100.005−0.124fir0.1540.3320.088−0.160−0.5500.004Ur−0.154−0.288−0.105−0.0032−0.005−0.017RD0.0210.171−0.192−0.038−0.018−0.281The regression results in the central region show that artificial intelligence promotes a reduction in the demand for low-skilled labor and high-skilled labor relative to medium-skilled labor, but this relationship is not significant. The application of artificial intelligence in the eastern developed regions has promoted the intelligent upgrading of traditional industries. Some labor-intensive industries that are not suitable for transformation and upgrading have been transferred to the central region, and labor-intensive industries have added medium skills in routine operations during the landing process in the central region. Labor demand is reduced, while the demand for unconventional operational tasks that are highly adaptable to the scene is reduced. The process of industrial transfer also causes the “return” of the demand for medium-skilled labor in some routine operation tasks, increasing the demand for medium-skilled labor.Finally, looking at the western region, from the regression results, the demand for low-skilled labor by artificial intelligence in the western region is significantly positive at the 1% significance level, and the demand for high-skilled labor is significantly positive at the 5% significance level, such as Figure1. Artificial intelligence has “polarized” the labor structure in the western region, and the demand for low-skilled labor is greater than that of high-skilled labor. Emerging technological progress and a new round of industrial revolution are in the ascendant. Although the economic foundation and industrial facilities of the western region lag behind those of the eastern and central regions, the popularization and penetration of AI technology, coupled with the low cost of AI codes, have accelerated the landing of the AI industry in the western region.Figure 1
Subregional AI and labor polarization empirical results.


### 4.2. AI Drives Capitalist Innovation

#### 4.2.1. Build an Open Cloud Platform with Cloud + AIot

Customers in the energy and power industry are widely distributed from large to small. On the basis of the cross-combination of this industry, artificial intelligence solves technical problems, industry experts solve real need problems, and only by deeply cultivating the industry can create real solutions to industry pain points. In order to find the real and effective commercial landing scenarios, this is also a necessary condition for enterprise value-driven.And M’s opportunity in the energy industry will lay a solid foundation for it to achieve a huge market share. On the basis of the Internet of Things,M company’s artificial intelligence technology builds the principle of intelligent and safe electricity service in the energy and power industry, and gains market share. The enterprise energy and power intelligent operation and maintenance cloud platform is shown in Figure 2.Figure 2
M enterprise energy and power intelligent operation and maintenance cloud platform.


#### 4.2.2. The Business Model Framework ofM Enterprise Driven by Artificial Intelligence Technology

From the point of view of profit model, artificial intelligence technology occupies a part of R&D investment ofM enterprise in the early stage of commercial application. But in the long run, the return has also grown exponentially. The technology changes the characteristics of products offered by competitors in limited ways, namely, the collection and dissemination of information, the reliance on employees to access and judge using powerful handheld models, and everyday problems or activities and treatments. The use of artificial intelligence technology in the market increases the value of products in two directions; that is, machines can detect faults on their own, and solve and report them. The business model innovation mechanism of M enterprise driven by algorithms in artificial intelligence technology is shown in Figure 3.Figure 3
M enterprise’s business model innovation mechanism driven by algorithms in artificial intelligence technology.The purpose of innovation is to determine value. EnterpriseM uses smart technology in new products, allowing customers to enjoy the benefits of advanced technology while reducing labor and energy costs.


#### 4.2.3. Product Iteration Tracking Driven by Artificial Intelligence Technology

Product update and technology iteration is a continuous process. CompanyM not only needs to continuously transfuse blood for the product to create value, but also needs to ensure that the external market can continue to open according to the plan, so as to realize the self-hematopoietic function as soon as possible for the enterprise. Continuous product and technology iterations will provide strong support for M enterprises to gradually stabilize the market. If the product and technology iterations are separated from the market demand and sales speed, the business operation of M enterprise will die. So, the iteration tracking plan is particularly important. Product iteration tracking plan M company has formulated a product development plan, with a minimum cycle of every two weeks for product updates and customer feedback product releases. The overall tracking plan is tracked monthly, quarterly, and annually. In terms of advertising plan, a 4-year sales plan has been formulated, as shown in Table 3. In 2022, the main focus is on customer engagement, airline exposure, and timely customer feedback, as shown in Figure 4. In the first year of new product launch, the financial goal is to achieve breakthroughs. Although the market is dominated by marketing and testing, the main goal is to cooperate with partner negotiation.Table 3
List of sales plans for 2022–2025.
YearsNumber of customers (pieces)Product sales revenue (ten thousand yuan)Cost (ten thousand yuan)202216820115920233661088264202478538405932025106566151011Figure 4
2020–2025 sales plan.


## 4.1. Artificial Intelligence Promotes Workforce Polarization

The first is the eastern region. From the regression results, when the variable is AI, the ratio of high-skilled labor to skilled labor is 0.086. Artificial intelligence promotes labor polarization in the eastern region, as shown in Table2.Table 2
Subregional AI and labor polarization empirical results.
Control variableEast areaCentral regionWestern regionLow/midHigh/midLow/midHigh/midLow/midHigh/midInAI0.2580.086−0.277−0.02250.5160.044OS−0.105−0.0850.0090.0100.005−0.124fir0.1540.3320.088−0.160−0.5500.004Ur−0.154−0.288−0.105−0.0032−0.005−0.017RD0.0210.171−0.192−0.038−0.018−0.281The regression results in the central region show that artificial intelligence promotes a reduction in the demand for low-skilled labor and high-skilled labor relative to medium-skilled labor, but this relationship is not significant. The application of artificial intelligence in the eastern developed regions has promoted the intelligent upgrading of traditional industries. Some labor-intensive industries that are not suitable for transformation and upgrading have been transferred to the central region, and labor-intensive industries have added medium skills in routine operations during the landing process in the central region. Labor demand is reduced, while the demand for unconventional operational tasks that are highly adaptable to the scene is reduced. The process of industrial transfer also causes the “return” of the demand for medium-skilled labor in some routine operation tasks, increasing the demand for medium-skilled labor.Finally, looking at the western region, from the regression results, the demand for low-skilled labor by artificial intelligence in the western region is significantly positive at the 1% significance level, and the demand for high-skilled labor is significantly positive at the 5% significance level, such as Figure1. Artificial intelligence has “polarized” the labor structure in the western region, and the demand for low-skilled labor is greater than that of high-skilled labor. Emerging technological progress and a new round of industrial revolution are in the ascendant. Although the economic foundation and industrial facilities of the western region lag behind those of the eastern and central regions, the popularization and penetration of AI technology, coupled with the low cost of AI codes, have accelerated the landing of the AI industry in the western region.Figure 1
Subregional AI and labor polarization empirical results.


## 4.2. AI Drives Capitalist Innovation

### 4.2.1. Build an Open Cloud Platform with Cloud + AIot

Customers in the energy and power industry are widely distributed from large to small. On the basis of the cross-combination of this industry, artificial intelligence solves technical problems, industry experts solve real need problems, and only by deeply cultivating the industry can create real solutions to industry pain points. In order to find the real and effective commercial landing scenarios, this is also a necessary condition for enterprise value-driven.And M’s opportunity in the energy industry will lay a solid foundation for it to achieve a huge market share. On the basis of the Internet of Things,M company’s artificial intelligence technology builds the principle of intelligent and safe electricity service in the energy and power industry, and gains market share. The enterprise energy and power intelligent operation and maintenance cloud platform is shown in Figure 2.Figure 2
M enterprise energy and power intelligent operation and maintenance cloud platform.


### 4.2.2. The Business Model Framework ofM Enterprise Driven by Artificial Intelligence Technology

From the point of view of profit model, artificial intelligence technology occupies a part of R&D investment ofM enterprise in the early stage of commercial application. But in the long run, the return has also grown exponentially. The technology changes the characteristics of products offered by competitors in limited ways, namely, the collection and dissemination of information, the reliance on employees to access and judge using powerful handheld models, and everyday problems or activities and treatments. The use of artificial intelligence technology in the market increases the value of products in two directions; that is, machines can detect faults on their own, and solve and report them. The business model innovation mechanism of M enterprise driven by algorithms in artificial intelligence technology is shown in Figure 3.Figure 3
M enterprise’s business model innovation mechanism driven by algorithms in artificial intelligence technology.The purpose of innovation is to determine value. EnterpriseM uses smart technology in new products, allowing customers to enjoy the benefits of advanced technology while reducing labor and energy costs.


### 4.2.3. Product Iteration Tracking Driven by Artificial Intelligence Technology

Product update and technology iteration is a continuous process. CompanyM not only needs to continuously transfuse blood for the product to create value, but also needs to ensure that the external market can continue to open according to the plan, so as to realize the self-hematopoietic function as soon as possible for the enterprise. Continuous product and technology iterations will provide strong support for M enterprises to gradually stabilize the market. If the product and technology iterations are separated from the market demand and sales speed, the business operation of M enterprise will die. So, the iteration tracking plan is particularly important. Product iteration tracking plan M company has formulated a product development plan, with a minimum cycle of every two weeks for product updates and customer feedback product releases. The overall tracking plan is tracked monthly, quarterly, and annually. In terms of advertising plan, a 4-year sales plan has been formulated, as shown in Table 3. In 2022, the main focus is on customer engagement, airline exposure, and timely customer feedback, as shown in Figure 4. In the first year of new product launch, the financial goal is to achieve breakthroughs. Although the market is dominated by marketing and testing, the main goal is to cooperate with partner negotiation.Table 3
List of sales plans for 2022–2025.
YearsNumber of customers (pieces)Product sales revenue (ten thousand yuan)Cost (ten thousand yuan)202216820115920233661088264202478538405932025106566151011Figure 4
2020–2025 sales plan.


## 4.2.1. Build an Open Cloud Platform with Cloud + AIot

Customers in the energy and power industry are widely distributed from large to small. On the basis of the cross-combination of this industry, artificial intelligence solves technical problems, industry experts solve real need problems, and only by deeply cultivating the industry can create real solutions to industry pain points. In order to find the real and effective commercial landing scenarios, this is also a necessary condition for enterprise value-driven.And M’s opportunity in the energy industry will lay a solid foundation for it to achieve a huge market share. On the basis of the Internet of Things,M company’s artificial intelligence technology builds the principle of intelligent and safe electricity service in the energy and power industry, and gains market share. The enterprise energy and power intelligent operation and maintenance cloud platform is shown in Figure 2.Figure 2
M enterprise energy and power intelligent operation and maintenance cloud platform.


## 4.2.2. The Business Model Framework ofM Enterprise Driven by Artificial Intelligence Technology

From the point of view of profit model, artificial intelligence technology occupies a part of R&D investment ofM enterprise in the early stage of commercial application. But in the long run, the return has also grown exponentially. The technology changes the characteristics of products offered by competitors in limited ways, namely, the collection and dissemination of information, the reliance on employees to access and judge using powerful handheld models, and everyday problems or activities and treatments. The use of artificial intelligence technology in the market increases the value of products in two directions; that is, machines can detect faults on their own, and solve and report them. The business model innovation mechanism of M enterprise driven by algorithms in artificial intelligence technology is shown in Figure 3.Figure 3
M enterprise’s business model innovation mechanism driven by algorithms in artificial intelligence technology.The purpose of innovation is to determine value. EnterpriseM uses smart technology in new products, allowing customers to enjoy the benefits of advanced technology while reducing labor and energy costs.


## 4.2.3. Product Iteration Tracking Driven by Artificial Intelligence Technology

Product update and technology iteration is a continuous process. CompanyM not only needs to continuously transfuse blood for the product to create value, but also needs to ensure that the external market can continue to open according to the plan, so as to realize the self-hematopoietic function as soon as possible for the enterprise. Continuous product and technology iterations will provide strong support for M enterprises to gradually stabilize the market. If the product and technology iterations are separated from the market demand and sales speed, the business operation of M enterprise will die. So, the iteration tracking plan is particularly important. Product iteration tracking plan M company has formulated a product development plan, with a minimum cycle of every two weeks for product updates and customer feedback product releases. The overall tracking plan is tracked monthly, quarterly, and annually. In terms of advertising plan, a 4-year sales plan has been formulated, as shown in Table 3. In 2022, the main focus is on customer engagement, airline exposure, and timely customer feedback, as shown in Figure 4. In the first year of new product launch, the financial goal is to achieve breakthroughs. Although the market is dominated by marketing and testing, the main goal is to cooperate with partner negotiation.Table 3
List of sales plans for 2022–2025.
YearsNumber of customers (pieces)Product sales revenue (ten thousand yuan)Cost (ten thousand yuan)202216820115920233661088264202478538405932025106566151011Figure 4
2020–2025 sales plan.


## 5. Conclusions

As a new productivity driver, artificial intelligence technology will eventually bring rich returns to my country’s socialist construction. This paper argues that there are still contradictions and exploitation in contemporary capitalist society, but the generative logic of digital capitalism based on artificial intelligence technology has also brought many positive effects. Select the panel data of 30 provinces, municipalities, and autonomous regions for empirical analysis, and use the panel model to empirically analyze that the application of artificial intelligence will lead to the polarization of the national labor force. The regional differences in the impact of artificial intelligence on labor polarization are compared, and the endogenous test and robustness test of the research conclusions are finally carried out. TakingM enterprise as an example object, it analyzes the generative logic of digital capitalism based on artificial intelligence technology.Although this paper has carried out some research and thinking on the path and strategy ofM enterprise transformation and upgrading under the background of artificial intelligence, so far, there are not many academic researches directly on the path and strategy of enterprise transformation and upgrading under the background of artificial intelligence. There are even fewer references that can be used to provide scholarly results. In order to comprehensively [19] and objectively analyze the path and strategy of M enterprise transformation and upgrading under the background of artificial intelligence, it requires many aspects of thinking. [20] Due to the limited academic ability and knowledge reserve, the evaluation index system constructed in this paper lacks solid theoretical support and fails to comprehensively and objectively evaluate the competitiveness of M enterprises under the background of artificial intelligence. Due to the difficulty of obtaining relevant information and data, some evaluation indicators that can better reflect the development of M enterprises in the context of artificial intelligence are replaced by some easier to measure indicators.



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*Source: 9068591-2022-05-23.xml*