AI technology refers to the technology that uses computer systems or software to simulate the process and results of human intelligence to achieve perception, understanding, reasoning, decision-making, and creation. AI technology has been widely applied and innovated in various fields and industries, bringing enormous changes and value to human society. With the continuous development and maturity of AI technology, AI technology will have more far-reaching influence and significance in the future, leading a new round of technological revolution and industrial transformation. This article will analyze from the following aspects:

· The commercial value of AI technology after it matures

The mature stage of AI technology refers to the stage when AI technology has reached a certain level and standard, can meet various complex and advanced needs and scenarios, and has the characteristics of high efficiency, reliability, explainability, and scalability. The commercial value of AI technology after maturity is mainly reflected in the following aspects:

Improve productivity and efficiency: AI technology can improve the productivity and efficiency of all walks of life through automation, optimization, collaboration, etc., reduce manpower, material resources, time and other costs, and improve the quality and performance of products and services. For example, AI technology can help the manufacturing industry realize smart manufacturing, lean manufacturing, flexible manufacturing and other modes, and improve the productivity and efficiency of the manufacturing industry; AI technology can help the logistics industry realize smart distribution, smart warehousing, smart scheduling and other modes, and improve the efficiency of the logistics industry. Productivity and efficiency: AI technology can help agriculture realize smart planting, smart breeding, smart management and other modes, and improve agricultural productivity and efficiency.

Create new business models and opportunities: AI technology can create new business models and opportunities, expand new markets and users, and increase new revenue and profits through innovation, change, and subversion. For example, AI technology can help e-commerce realize smart recommendation, smart search, smart pricing and other models, creating new business models and opportunities; AI technology can help the media industry realize smart content generation, smart content distribution, smart content review and other models, creating New business models and opportunities; AI technology can help the education industry realize smart teaching, smart tutoring, smart assessment and other models, creating new business models and opportunities.

Promoting social progress and well-being: AI technology can promote social progress and well-being through improvement, resolution, and prevention, and improve human health, safety, and happiness. For example, AI technology can help the medical industry realize intelligent diagnosis, intelligent treatment, intelligent management and other modes, and promote social progress and well-being; AI technology can help the environmental industry realize intelligent monitoring, intelligent early warning, intelligent governance and other modes, and promote social progress and well-being; AI technology can help public services realize smart transportation, smart security, smart government and other models, and promote social progress and well-being.

· Changes in business value after implanting AI technology in traditional industries

The implantation of AI technology in traditional industries refers to the combination of AI technology and traditional industries to realize the transformation and upgrading of traditional industries and enhance the competitiveness and development potential of traditional industries. The changes in commercial value after implanting AI technology in traditional industries are mainly reflected in the following aspects:

Enhance core competitiveness: traditional industries can enhance their core competitiveness after implanting AI technology, and gain more market share or users by using AI technology to improve their product or service quality or performance or function or features or differentiation. Aspects like recognition or brand power or profit margins. For example, the implantation of AI technology in the automotive industry can enhance its core competitiveness, and improve the safety, comfort, energy saving, intelligence, or personalization of automobiles through the use of AI technology.

Expansion of emerging markets: traditional industries can expand into emerging markets after implanting AI technology. By using AI technology to develop new needs or scenarios or users or channels or platforms, etc., more growth points or opportunities or innovation points or cooperation can be obtained points etc. For example, after AI technology is implanted in the retail industry, emerging markets can be expanded, and new consumption methods or consumption experiences, consumer groups or consumption places can be developed by using AI technology.

Promoting cross-border integration: Traditional industries can promote cross-border integration after AI technology is implanted. By using AI technology to combine with other industries or fields, learn from each other, complement each other, or empower each other, more resource integration or Value creation or risk diversification or efficiency improvement. For example, the implantation of AI technology in the tourism industry can promote cross-border integration, by combining AI technology with the cultural industry, entertainment industry, or education industry.

· The status, relationship and proportion of the two in the AI economy

The two refer to enterprises that provide AI tool services (hereinafter referred to as Type A enterprises) and traditional industries implanted with AI technology (hereinafter referred to as Type B enterprises). The status, relationship and proportion of the two in the AI economy are mainly reflected in the following aspects:

· Status: Class A enterprises have the status of leaders and promoters in the AI economy, and are the main force to promote the development and application of AI technology; Dividends and value or deploy complex AI systems, just through a simple interface or platform, you can quickly implement AI applications or solve AI problems. For example, Baidu AI Open Platform, Alibaba Cloud Machine Learning Platform, Tencent Cloud Artificial Intelligence Platform, etc. are all platforms that provide various AI tool services. Users or customers can choose appropriate AI tool services according to their needs, such as speech recognition, Image recognition, natural language processing, machine translation, etc., realize intelligence in various scenarios.

Improve the efficiency and quality of AI applications: AI tool services can provide users or customers with high-quality, high-performance, and reliable AI solutions, and use advanced AI technologies and algorithms to improve the efficiency and quality of AI applications. For example, Google TensorFlow, Facebook PyTorch, Microsoft Azure Machine Learning, etc. are tool services that provide high-performance, easy-to-use, and flexible AI frameworks and libraries. Users or customers can use these tool services to build and train their own AI models. Efficiency and quality of AI applications.

· Expand the field and scope of AI applications: AI tool services can provide users or customers with innovative, diverse, and customized AI solutions to expand the fields and scope of AI applications. For example, IBM Watson, Amazon Alexa, Apple Siri, etc. are tool services that provide intelligent dialogue and voice interaction. Users or customers can use these tool services to realize natural dialogue and voice interaction with humans or other smart devices, and expand the scope of AI applications. field and scope.

Create the value and impact of AI applications: AI tool services can provide users or customers with valuable, influential, and meaningful AI solutions, creating the value and impact of AI applications. For example, OpenAI GPT, DeepMind AlphaGo, Face++, etc. all provide cutting-edge, subversive, and leading AI tool services. Users or customers can use these tool services to achieve intelligence performance and creativity beyond human levels and create the value of AI applications. and impact.

· Case studies of AI implantation in various industries

AI implantation in various industries refers to the combination of AI technology and applications with various industries and fields to realize the intelligence, digitization, efficiency and innovation of industries. There are many cases of AI implantation in various industries. Some representative and influential cases are selected for analysis below:

· AI implantation in medical care: AliHealth’s ET medical brain is a medical intelligence platform based on AI technology, which can provide doctors and patients with a variety of intelligent services, such as intelligent imaging diagnosis, intelligent auxiliary diagnosis, intelligent auxiliary treatment, intelligent health management, etc. . ET medical brain can analyze and mine massive medical data through deep learning, natural language processing, computer vision and other technologies to improve medical quality and efficiency, reduce medical costs and risks, and improve medical accessibility and fairness.

AI-implanted education: Baidu’s Xiaodu Teacher is an educational intelligence platform based on AI technology, which can provide students and teachers with a variety of intelligent services, such as intelligent homework correction, intelligent error analysis, intelligent knowledge point recommendation, and intelligent learning report wait. Xiaodu teachers can use natural language processing, knowledge graph, machine learning and other technologies to analyze and mine massive educational data, improve the quality and effect of education, reduce the burden and pressure of education, and improve the personalization and fun of education.

AI Implanted into Finance: Sesame Credit of Ant Group is a financial intelligence platform based on AI technology, which can provide users and merchants with a variety of intelligent services, such as intelligent credit evaluation, intelligent credit management, and intelligent credit consumption. Sesame Credit can use machine learning, big data analysis, blockchain and other technologies to analyze and mine massive financial data, improve financial security and convenience, reduce financial thresholds and costs, and improve financial inclusion and credibility.

· AI-implanted entertainment: ByteDance’s Douyin is an entertainment intelligence platform based on AI technology, which can provide users and creators with a variety of intelligent services, such as intelligent content recommendation, intelligent content generation, intelligent content review, etc. Douyin can use deep learning, computer vision, natural language processing and other technologies to analyze and mine massive entertainment data, improve the quality and effect of entertainment, reduce the threshold and difficulty of entertainment, and increase entertainment diversity and innovation.

· The challenges and future of AI implantation in various industries

Although the implantation of AI in various industries has brought great potential and value, it also faces many challenges and risks, which we need to seriously address and solve. Here are some major challenges and future prospects:

Challenges and future of AI implanted medical care: The challenges that AI implanted medical care needs to address include data quality, data security, data privacy, data sharing, data standards, and data ethics. At the same time, AI implanted medical care also needs to consider the collaboration and trust issues between artificial intelligence and doctors, patients, regulatory agencies, etc., as well as the responsibility and explainability of artificial intelligence in diagnosis and treatment⁵. In the future, AI-implanted medical care is expected to achieve more accurate, more personalized, more inclusive, and more preventive medical services, and improve human health and quality of life.

Challenges and future of AI implanted education: The challenges that AI implanted education needs to solve include the equalization of educational resources, the diversification of educational content, the optimization of the educational process, and the evaluation of educational effects. At the same time, AI implanted education also needs to consider the cooperation and trust issues between artificial intelligence and teachers, students, parents, society, etc., as well as the ethics and fairness of artificial intelligence in education. In the future, AI-implanted education is expected to realize smarter, more personalized, more interactive, and more open educational services, and enhance human learning ability and innovation.

Challenges and future of AI implantation in finance: The challenges that AI implantation in finance needs to solve include financial risks, financial fraud, financial supervision, and financial innovation. At the same time, AI implantation in finance also needs to consider the collaboration and trust issues between artificial intelligence and financial institutions, financial users, financial markets, etc., as well as the transparency and explainability of artificial intelligence in finance. In the future, AI implanted into finance is expected to achieve more efficient, safer, more convenient, and more inclusive financial services, and improve the level of human wealth and social well-being.

Challenges and future of AI-implanted entertainment: The challenges that AI-implanted entertainment needs to solve include content quality, content copyright, content review, content recommendation, etc. At the same time, AI-implanted entertainment also needs to consider the collaboration and trust issues between artificial intelligence and entertainment creators, entertainment users, entertainment platforms, etc., as well as the ethical and social issues of artificial intelligence in entertainment. In the future, AI-implanted entertainment is expected to achieve richer, more diverse, more innovative, and more interactive entertainment services, and improve human cultural level and quality of life.

· The status, relationship and proportion of the two in the AI economy

The two refer to enterprises that provide AI tool services (hereinafter referred to as Type A enterprises) and traditional industries implanted with AI technology (hereinafter referred to as Type B enterprises). The status, relationship and proportion of the two in the AI economy are mainly reflected in the following aspects:

· Status: Class A enterprises have the status of leaders and promoters in the AI economy, and are the main force to promote the development and application of AI technology; A major beneficiary of dividends and value.

· Relationship: Type A companies and Type B companies have a cooperative and competitive relationship in the AI economy. On the one hand, Type A companies and Type B companies can achieve a mutually beneficial and win-win cooperative relationship by providing and using AI tool services; On the other hand, due to the development and application of AI technology, Type A companies and Type B companies may also have new competitive relationships. For example, Type A companies may enter the field of Type B companies, or Type B companies may independently develop AI technology.

· Proportion: It is difficult to accurately measure the proportion of A-type enterprises and B-type enterprises in the AI economy, but it can be analyzed from different angles. From the perspective of investment, Type A enterprises invest more resources and energy in the research and development and innovation of AI technology, and are the main contributors to AI technology; Type B enterprises invest more resources and energy in the application and promotion of AI technology. Energy is the main consumer of AI technology. From the perspective of output, Type A companies gain more revenue and profits from the commercialization and profitability of AI technology, and are the main beneficiaries of AI technology; Type B companies get more benefits from the transformation and upgrading of AI technology and value creation. More efficiency and competitiveness are the main drivers of AI technology.

What changes does the AI economy bring to the social economy

AI economy refers to a new economic form with AI technology as the core driving force, data as the basic resource, intelligence as the main feature, innovation as the main driving force, and value as the main goal. The AI economy has brought the following changes to the social economy:

Promote economic growth and structural optimization: AI economy can promote economic growth and structural optimization by improving productivity and efficiency, creating new business models and opportunities, promoting cross-border integration and collaborative innovation, increasing economic aggregate and quality, and improving Economic development level and potential.

· Change the employment form and talent demand: AI economy can change the employment form and talent demand through automation, intelligence, digitization, etc., replace or assist part of human labor, create or expand part of intellectual labor, improve employment efficiency and quality, and increase employment Variety and flexibility.

Affecting social distribution and fairness and justice: AI economy can affect social distribution and fairness and justice by improving, solving, and preventing, reducing or expanding some income gaps, rich-poor gaps, opportunity gaps and other issues, and improving or reducing some social welfare, Social security, social rights, etc., increase or decrease some social problems, social conflicts, social crises, etc.

Challenges to ethics and legal norms: The AI economy can bring challenges to ethics and legal norms through innovation, change, subversion, etc., triggering or exacerbating some conflicts between artificial intelligence and humans, nature, society, etc. Or crisis, such as the responsibility of artificial intelligence, the privacy protection of artificial intelligence, the moral judgment of artificial intelligence, etc.

Summarize

This paper discusses the commercial value of AI technology after it matures and the commercial value of traditional industries after implanting AI technology.Analytical articles were written in four aspects: the change of value, the status, relationship and proportion of the two in the AI economy, and what changes the AI economy has brought to the social economy. The article pointed out the great potential and value brought by AI technology in all walks of life, and also pointed out the challenges and problems faced by AI technology. The article believes that in the future AI economy, we need to grasp the direction and rhythm of development, make full use of the opportunities and dividends brought by AI technology, and at the same time pay attention to preventing and solving the risks and crises brought about by AI technology.