Author: 137Labs
Original Title: Under the AI Wave, Which Web3 Jobs Are Rapidly Disappearing?
In recent years, Web3 has been considered an important direction for the development of the internet. From DeFi and NFTs to DAOs, numerous new business models have emerged, giving rise to many new professions. However, as generative AI and automation technologies rapidly enter this field, the job structure in Web3 has also begun to undergo significant changes.
More and more projects are starting to use AI to complete tasks that originally required human effort, such as writing code, analyzing on-chain data, generating market reports, and handling community issues. As these tools mature, the demand for certain positions has noticeably declined, while new types of roles are gradually emerging.
Overall, AI has not reduced the development prospects of Web3, but it is changing the industry's demand for talent structure.
I. Web3 Jobs That Are Gradually Decreasing
In the Web3 ecosystem, some highly standardized and repetitive tasks are gradually being replaced by automation tools. With the development of generative AI and automation technologies, many tasks that originally required manual effort can now be quickly completed by algorithms and intelligent systems, leading to a noticeable decline in demand for certain positions.
1. Junior Solidity Developers
Smart contract development was once one of the hottest professions in the Web3 industry. However, with the rapid development of AI programming tools, a large amount of standardized code can now be generated automatically. For example, common code structures such as ERC-20 token contracts, NFT contracts, and basic DeFi protocols can be generated by AI in a very short time. AI can not only generate complete code frameworks but also perform basic testing and logic checks. As a result, more and more companies are reducing their demand for junior developers and instead relying on senior architects to review and optimize AI-generated code.
2. Web3 Researchers / Analysts
In the past, Web3 projects often required researchers to complete a large amount of industry research and data organization work, including industry trend analysis, project evaluation, market research, and report writing. However, with the advancement of AI technology, much of this research work can now be completed using automation tools. For example, AI can quickly analyze on-chain data, simulate token economic models, and automatically generate structured market research reports. As a result, the demand for research positions primarily focused on basic information organization and data analysis is gradually decreasing.
3. Community Managers and Customer Support
Community operations were once a crucial part of the Web3 ecosystem, with many projects requiring community managers and customer support staff to handle user issues and maintain community order. However, with the development of AI customer support systems, many repetitive communication tasks can now be automated. For instance, AI can provide 24/7 automated responses, real-time multilingual translation, automatically identify and filter spam, and quickly answer common user questions. In this context, some basic community support roles are gradually being replaced by AI systems.
4. Crypto Traders
In the field of cryptocurrency trading, the advantages of AI technology are particularly evident. AI can analyze vast amounts of market data in a very short time and automatically perform trading operations based on preset strategies, including high-frequency trading, automated arbitrage, and risk control. Compared to human traders, AI has significant advantages in execution speed, data processing capabilities, and trading stability, while also reducing operational costs. As a result, traditional human trading positions are gradually decreasing in environments that rely on technical strategies.
5. NFT Content Creators
The emergence of generative AI has had a profound impact on the NFT ecosystem. Today, AI can generate a large amount of visual content in a short time, such as illustrations, avatars, and various forms of digital art. This has significantly lowered the barrier to NFT content creation while also intensifying market competition. In this environment, some NFT content creators who rely on basic design skills or simple visual creation are gradually losing their market advantage.
6. Low-Barrier NFT Creators
With the proliferation of AI image generation tools, the way digital content is created is changing. In the past, some NFT projects generated large volumes of work through simple image combinations or basic designs. Now, AI can complete similar or even more complex creation processes in a very short time. This poses a significant challenge to traditional low-barrier NFT creation models. Some creators who lack unique creativity, artistic style, or brand value are gradually losing their competitive edge as AI technology becomes more widespread.
II. Emerging New Web3 Professions
Although the demand for some positions is decreasing, AI is also creating new job opportunities in the Web3 industry. As artificial intelligence and blockchain technology continue to integrate, the demand for interdisciplinary talent with cross-domain capabilities is steadily increasing.
1. AI × Web3 Architect
AI × Web3 architects are becoming one of the core roles in future Web3 technical teams. As AI and blockchain systems deepen their integration, more projects require the construction of system architectures that support automated decision-making and intelligent collaboration. These roles not only involve designing the collaborative architecture between AI and blockchain systems but also building interaction mechanisms between AI agents and smart contracts, and planning decentralized AI network infrastructure. Additionally, these professionals need to design on-chain automated execution systems. Therefore, this role typically requires practitioners to have a technical understanding of blockchain infrastructure, AI models and agent systems, distributed computing architecture, and cryptographic economic models.
2. AI Agent Training Coordinator
As multi-agent systems become increasingly applied in the Web3 ecosystem, some projects are beginning to require specialized personnel to train and coordinate the behavioral logic of AI agents. The main responsibilities of an AI agent training coordinator include defining collaboration rules between multiple AI agents, designing behavioral constraint mechanisms for agents, optimizing their decision-making logic in scenarios such as DeFi and DAOs, and continuously monitoring the on-chain behavior of AI agents. This role is more focused on AI behavior management and system governance and will play an important role in the future Web3 automation ecosystem.
3. Web3 Prompt Engineer
As AI tools become more widely used in Web3 development, prompt engineering is gradually evolving into a new professional role. The main responsibilities of a Web3 prompt engineer include designing complex prompts to generate smart contract code, building AI automated research and analysis processes, optimizing the interaction between AI and blockchain systems, and designing behavioral instructions for AI agents. Compared to traditional prompt engineering, this role places greater emphasis on designing complex task flows and the practical application capabilities of AI systems.
4. AI On-Chain Data Analyst
Blockchain networks generate a large amount of public data every day, and AI technology can help analyze this data and uncover underlying patterns. The main responsibilities of an AI on-chain data analyst include analyzing on-chain fund flows, monitoring market trends, identifying abnormal trading behaviors, and predicting ecosystem development trends. Additionally, they need to build AI data analysis models to extract valuable information from massive blockchain data. Therefore, this role typically requires practitioners to have a background in data science, blockchain analysis capabilities, and AI modeling skills.
5. AI-Driven Smart Contract Security Expert
As AI-generated code technology becomes more widespread, smart contract security issues are becoming more complex. As a result, AI-driven smart contract security experts are becoming increasingly important in the Web3 industry. These experts typically use AI tools to detect code vulnerabilities, design automated auditing systems, simulate potential attack paths, and evaluate the overall security risks of protocols, thereby enhancing the security of DeFi protocols and blockchain applications. The smart contract security field is also considered one of the fastest-growing areas of demand in the future Web3 industry.
6. Web3 Automation Strategy Designer
In the DeFi ecosystem, automated strategies have become an important development direction. Web3 automation strategy designers are primarily responsible for developing automated yield strategies, automated arbitrage systems, and risk control algorithms, while also designing intelligent asset allocation strategies to enable assets to automatically adjust across different protocols. These strategies are typically executed automatically by algorithmic systems or AI agents, so this role requires an understanding of financial models, algorithm design capabilities, and a background in blockchain technology.
III. Trends in Web3 Employment Structure Changes
As AI technology continues to develop, the talent demand in the Web3 industry shows several clear trends.
First, team sizes are becoming smaller. Automation tools can handle a large amount of repetitive work, meaning project teams no longer need as many basic positions.
Second, interdisciplinary skills are becoming more important. Future Web3 talent will often need to possess blockchain technology, AI technology, and data analysis capabilities simultaneously.
Finally, the importance of senior positions is increasing. Roles such as system architecture, economic model design, and security engineering are becoming core positions in the industry.
IV. Conclusion
AI is reshaping the job structure of the Web3 industry. Some positions that are primarily execution-based and highly repetitive are gradually decreasing, while roles that demand creativity, systemic thinking, and cross-domain capabilities are becoming increasingly important.
In the long run, AI will not weaken the development potential of Web3. On the contrary, it may propel the entire industry into a new phase. In this process, truly talented individuals with technical depth and innovation capabilities will become the most important resource in the future Web3 ecosystem.
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