Abstract: Web3 refers to a new generation of Internet architecture, which aims to realize a distributed and decentralized network environment. AI, also known as artificial intelligence, refers to the technology in which computer programs simulate human thinking, learning and reasoning abilities. Traditional industries refer to those industries that have existed for a long time and have mature markets and rules. The combination of Web3+AI+traditional industries refers to the use of Web3 technology and AI technology to transform and innovate traditional industries, so as to achieve more efficient, safer, fairer, and more diverse services and values. This article analyzes the opportunities and challenges of the combination of Web3+AI+traditional industries from four aspects: systemic, ecological, value network, and social, and puts forward some suggestions and prospects.

Keywords: Web3; AI; traditional industries; opportunities; challenges

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I. Introduction

Internet technology is one of the most important driving forces in today's era, which constantly changes people's lifestyles and social structures. From the initial Web 1.0, which is a static web page focusing on information publishing, to the later Web 2.0, that is a dynamic web page focusing on information interaction, Internet technology has undergone two major changes. However, with the development of Internet technology, some problems and drawbacks have also been exposed, such as data centralization, privacy leaks, security threats, and trust crises. In order to solve these problems and drawbacks, a new generation of Internet architecture - Web3 is emerging.

Web3 refers to a distributed and decentralized network environment, which is based on blockchain technology and provides higher data privacy, security and mutual trust through the use of smart contracts and decentralized applications (DApps) . The goal of Web3 is to create a network controlled by users and not controlled by centralized institutions, so as to realize the democratization and liberalization of the network. Web3 is considered to be the direction and vision of the next generation Internet, with great potential and significance.

At the same time, another technology-artificial intelligence (AI) is also developing rapidly, bringing people a lot of convenience and surprises. AI refers to the technology in which computer programs simulate human thinking, learning and reasoning abilities. AI algorithms are trained with a large amount of data to simulate human understanding and processing of information, such as speech recognition, image recognition, and natural language processing. AI can also be used to implement artificial intelligence agents, robots and intelligent systems to automate tasks, provide advice and decision support, and more. AI is considered to be one of the most important innovations of our time, with great potential and significance.

Both Web3 and AI are among the most important technologies of our time, each with its own advantages and limitations. If they are combined and applied to traditional industries, what will be the effect? Traditional industries refer to those industries that have existed for a long time and have mature markets and rules, such as education, medical care, entertainment, etc. Traditional industries usually rely on centralized institutions and platforms to provide services and manage data, but they also face problems such as low efficiency, high costs, and lack of trust. If Web3 technology and AI technology are used to transform and innovate traditional industries, so as to achieve more efficient, safer, fairer, and more diverse services and values, then what kind of opportunities and challenges will this be?

This article will analyze the combination of Web3+AI+traditional industries from the following four aspects: systematic, ecological, value network, and social. This article will explore and answer the following questions: What kind of systematic network can Web3+AI+traditional industries build? What kind of ecological network can Web3+AI+traditional industries create? What kind of value network can Web3+AI+traditional industries form? What kind of society can Web3+AI+traditional industries affect?

2. Systematic

Systematic means that a system or network has the characteristics of integrity, complexity, collaboration and innovation. A systemic network refers to a network composed of multiple nodes, in which each node can connect, collaborate and innovate with each other, forming a powerful network effect. Web3+AI+traditional industries can build a more systematic network, in which each node can connect, collaborate and innovate with each other, forming a powerful network effect. We can analyze this systematic network from the following three aspects: nodes, connections and effects.

(1) Node. Node refers to the basic unit in the network, such as users, merchants, platforms, capital, etc. The combination of Web3+AI+traditional industries can produce various types of nodes, such as AI developers, AI providers, AI users, Web3 developers, Web3 providers, Web3 users, traditional industry practitioners, traditional industry consumers, Investors in traditional industries, etc. These nodes each have their own roles and capabilities. For example, AI developers can provide AI algorithms and models, AI providers can provide AI services and interfaces, AI users can use AI functions and applications, and Web3 developers can provide smart contracts and DApps , Web3 providers can provide blockchain networks and storage networks, Web3 users can use smart contracts and DApps, traditional industry practitioners can provide traditional industry services and products, traditional industry consumers can use traditional industry services and products, traditional industry Investors can invest in traditional industry projects and enterprises, etc. These nodes form a diversified and enriched network.

(2) Connection. Connection refers to the basic relationship in the network, such as cooperation, competition, exchange, etc. The combination of Web3+AI+traditional industries can generate various types of connections, such as cooperation between AI developers and AI providers, exchanges between AI providers and AI users, and connections between AI users and Web3 developers Competition, cooperation between Web3 developers and Web3 providers, exchange between Web3 providers and Web3 users, competition between Web3 users and traditional industry practitioners, traditional industry practitioners and traditional industry consumers exchange, cooperation between traditional industry consumers and traditional industry investors, etc. These connections form a dynamic and complex network.

(3) Effect. Effect refers to the basic results produced in the network, such as efficiency, security, fairness, diversity, etc. The combination of Web3+AI+traditional industries can produce various types of effects. For example, AI technology can bring higher efficiency and quality to traditional industries, such as reducing costs and increasing income; Web3 technology can bring higher benefits to traditional industries. Security and fairness, such as protecting privacy, assigning value, etc.; traditional industries can bring higher diversity and demands to AI technology and Web3 technology, such as providing scenarios, reflecting problems, etc. These effects constitute an optimization and innovation network.

To sum up, Web3+AI+traditional industries can build a more systematic network, in which each node can connect, collaborate and innovate with each other, forming a powerful network effect. This systematic network can enable each participant to obtain more benefits and opportunities, and at the same time be able to cope with more changes and challenges.

3. Ecology

Ecology means that a system or network has the characteristics of self-organization, self-adaptation and self-evolution. An ecological network refers to a network composed of multiple participants, in which each participant can enjoy the benefits and opportunities brought by the network according to their own roles and capabilities. Web3+AI+traditional industries can create a more ecological network, in which each participant can enjoy the benefits and opportunities brought by the network according to their roles and capabilities. We can analyze this ecological network from the following three aspects: participants, roles and capabilities.

(1) Participants. Participants refer to the basic subjects in the network, such as users, merchants, platforms, capital, etc. The combination of Web3+AI+traditional industries can produce various types of participants, such as AI developers, AI providers, AI users, Web3 developers, Web3 providers, Web3 users, traditional industry practitioners, traditional industry consumers , investors in traditional industries, etc. These participants each have their own needs and goals. For example, AI developers want to provide better AI algorithms and models, AI providers want to provide better AI services and interfaces, and AI users want to use better AI. Functions and applications, Web3 developers want to provide better smart contracts and DApps, Web3 providers want to provide better blockchain networks and storage networks, Web3 users want to use better smart contracts and DApps, traditional Industry practitioners want to provide better traditional industry services and products, traditional industry consumers want to use better traditional industry services and products, traditional industry investors want to invest in better traditional industry projects and enterprises, etc. These participants form a diverse and active network.

(2) ROLE. Roles refer to the basic functions in the network, such as producers, consumers, intermediaries, supervision, etc. The combination of Web3+AI+traditional industries can produce various types of roles. For example, AI developers can act as producers, providing AI algorithms and models, AI providers can act as intermediaries, providing AI services and interfaces, and AI users can act as consumers , using AI functions and applications, Web3 developers can act as producers, providing smart contracts and DApps, Web3 providers can act as intermediaries, providing blockchain networks and storage networks, and Web3 users can act as consumers, using smart contracts and DApps Practitioners in traditional industries can act as producers, providing traditional industry services and products, traditional industry consumers can act as consumers, using traditional industry services and products, traditional industry investors can act as regulators, invest in traditional industry projects and enterprises, etc. These roles constitute a collaborative and competitive network.

(3) Ability. Capabilities refer to the basic resources in the network, such as data, computing power, funds, knowledge, etc. The combination of Web3+AI+traditional industries can produce various types of capabilities. For example, AI technology can provide data processing capabilities, algorithm design capabilities, model training capabilities, etc.; Web3 technology can provide data storage capabilities, smart contract execution capabilities, value exchange capabilities, etc. ; Traditional industries can provide data collection capabilities, scenario application capabilities, demand feedback capabilities, etc. These capabilities constitute an optimized and innovative network.

To sum up, Web3+AI+traditional industries can create a more ecological network, in which each participant can enjoy the benefits and opportunities brought by the network according to their roles and capabilities. This ecological network can enable each participant to develop their own advantages and potentials, and at the same time promote mutual communication and collaboration.

4. Value network

A value network refers to a system or network that has the characteristics of value creativity, value exchange, and value distribution. A value network refers to a network composed of multiple value creators and value consumers, in which each value creator and value consumer can realize the exchange and distribution of value through smart contracts. Web3+AI+traditional industries can form a more valuable network, in which each value creator and value consumer can realize the exchange and distribution of value through smart contracts. We can analyze this value network from the following three aspects: value creators, value consumers, and smart contracts.

(1) Value Creator. Value creators refer to people or organizations in the network that provide useful or meaningful things to others, such as products, services, knowledge, etc. The combination of Web3+AI+traditional industries can produce various types of value creators, such as AI developers, AI providers, Web3 developers, Web3 providers, traditional industry practitioners, etc. These value creators each have their own value propositions and value forms. For example, AI developers can provide AI algorithms and models, AI providers can provide AI services and interfaces, Web3 developers can provide smart contracts and DApps, and Web3 providers can provide Blockchain network and storage network, traditional industry practitioners can provide traditional industry services and products. These value creators form a diverse and enriched network.

(2) Value consumers. Value consumers refer to people or organizations that use or enjoy things provided by others in the network, such as users, customers, partners, etc. The combination of Web3+AI+traditional industries can generate various types of value consumers, such as AI users, Web3 users, traditional industry consumers, and traditional industry investors. These value consumers each have their own value needs and value assessments. For example, AI users need to use AI functions and applications, Web3 users need to use smart contracts and DApps, traditional industry consumers need to use traditional industry services and products, traditional industry investment Investors need to invest in traditional industry projects and enterprises. These value consumers form a diverse and active network.

(3) Smart contracts. Smart contracts refer to automated programs that realize value exchange and distribution in the network, such as payments, rewards, punishments, etc. The combination of Web3+AI+traditional industries can produce various types of smart contracts, such as payment contracts between AI users and AI providers, reward contracts between AI providers and AI developers, Web3 users and Web3 providers The payment contract between Web3 providers and Web3 developers, the payment contract between traditional industry consumers and traditional industry practitioners, the penalty contract between traditional industry investors and traditional industry practitioners, etc. These smart contracts form a fair and transparent network.

To sum up, Web3+AI+traditional industries can form a more valuable network, in which each value creator and value consumer can realize the exchange and distribution of value through smart contracts. This value network can enable all participants to obtain reasonable and fair returns, and can also stimulate more creativity and innovation.

5. Sociality

Sociality means that a system or network has characteristics such as social structure, social relationship, and social culture. A social network refers to a network composed of multiple social subjects, in which each social subject can affect or be affected by various aspects of society, such as social structure, social relations, and social culture. Web3+AI+traditional industries can affect many aspects of society, such as social structure, social relations, and social culture. We can analyze this social influence from the following three aspects: social structure, social relationship, and social culture.

(1) Social structure. Social structure refers to the distribution and arrangement of different groups or classes in society, such as occupation, income, education, etc. The combination of Web3+AI+traditional industries can change the social structure, such as creating new occupations, eliminating old occupations, and changing the labor market. For example, AI technology can create new occupations, such as AI engineers, AI analysts, AI designers, etc.; AI technology can also eliminate old occupations, such as cashiers, customer service staff, translators, etc.; Web3 technology can change the labor market, For example, realize remote work, flexible work, free work, etc. These changes may have positive or negative effects on social structures 

Impacts, such as increased employment opportunities or unemployment risks, higher income levels or wealth gaps, greater educational opportunities or knowledge gaps, etc.

(2) Social relations. Social relationship refers to the way of interaction and mutual influence between different individuals or groups in society, such as kinship relationship, friendship relationship, interest relationship, etc. The combination of Web3+AI+traditional industries can change social relations, such as enhancing the sense of community, promoting the spirit of collaboration, and reducing power gaps. For example, Web3 technology can enhance the sense of community, such as by establishing a decentralized autonomous organization (DAO), allowing community members to participate in decision-making and governance to achieve community self-management and self-development; AI technology can promote the spirit of collaboration, such as by establishing artificial Intelligent agent (AI agent) enables effective communication and collaboration between humans, humans and machines, and machines to achieve efficient completion and optimization of tasks; traditional industries can reduce power gaps, for example, by establishing smart contracts to allow To achieve fair and transparent value exchange and distribution among participants in traditional industries, to achieve the balance and protection of interests, etc. These changes may have positive or negative effects on social relationships, such as increased trust or conflict risk, enhanced cooperation or competitive pressure, increased participation or exclusion, and so on.

(3) Social culture. Social culture refers to the values, beliefs, habits, customs, etc. shared by different individuals or groups in society. The combination of Web3+AI+traditional industries can change social culture, such as shaping new values, stimulating new ideas, and reflecting new needs. For example, Web3 technology can shape new values, such as through the establishment of decentralized finance (DeFi), so that users can enjoy more financial freedom and financial democracy, and realize financial openness and tolerance; AI technology can stimulate new ideas, such as through Establish artificial intelligence creation (AI creation), so that users can enjoy more artistic expression and appreciation, and realize artistic innovation and diversity; traditional industries can reflect new needs, such as through the establishment of smart education (Smart education), so that users can enjoy more More learning resources and learning methods, to achieve personalized and inclusive education. These changes may have positive or negative impacts on social culture, such as increasing diversity or homogeneity, improving quality or impetuosity, expanding satisfaction or loss, etc.

To sum up, Web3+AI+traditional industries can affect many aspects of society, such as social structure, social relations, and social culture. This social influence can make the society more diverse and inclusive, and at the same time improve the efficiency of the society

and happiness.

6. Conclusion

This article analyzes the opportunities and challenges of the combination of Web3+AI+traditional industries from four aspects: systemic, ecological, value network, and social, and puts forward some suggestions and prospects. This paper believes that this combination has great potential and significance, which can bring more opportunities and benefits to all participants, and can also promote the development and progress of society. However, this article also recognizes that there are still many challenges and risks in this combination, such as technical difficulties, laws and regulations, user habits, etc. It requires the joint efforts and collaboration of all participants to overcome difficulties and realize the vision. In addition, this article also has some limitations and deficiencies, such as the analysis angle may not be comprehensive and in-depth, the analysis method may not be rigorous and objective, and the analysis data may not be sufficient and accurate, etc., which need to be improved and perfected in future research.

At the end of this paper, we also want to briefly put forward some suggestions and prospects. We believe that in order to realize the combination of Web3+AI+traditional industries and give full play to its opportunities and challenges, the following points need to be done:

· Strengthen technology research and development: It is necessary to strengthen the research and development of Web3 technology and AI technology, and promote the integration and collaboration between the two, and solve some technical problems and bottlenecks, such as scalability, usability, explainability, etc.

Improve laws and regulations: It is necessary to improve the laws and regulations related to Web3 technology and AI technology, protect the legitimate rights and interests of each participant, and prevent some legal and moral risks, such as infringement, fraud, discrimination, etc.

Cultivate user habits: It is necessary to cultivate users' awareness and acceptance of Web3 technology and AI technology, and improve users' use and participation in Web3 technology and AI technology, and meet users' needs and expectations for Web3 technology and AI technology.

We look forward to the combination of Web3+AI+traditional industries to bring us a better future.