Author: TinTinland

When AI can perfectly replace complex white-collar tasks at a very low cost, the impact on intellectual jobs may be faster and more thorough than any industrial revolution.

For ordinary people, the question that must be seriously considered is right in front of them: In the AI era, which professions are rapidly disappearing? And how does this impact jobs in the Web3 industry?

Web3 Professions Rapidly Fading Under AI Impact

Junior Solidity / Contract Developer

AI can already generate about 80% of standardized smart contracts, and many Web3 projects have started using AI to create initial versions of contracts, then having senior developers review and optimize them.

Junior Researcher / Analyst

If your job involves: organizing materials, writing project summaries, translating white papers, or creating comparative tables, then what you are doing is actually the type of work that AI excels at.

AI agents can already automatically call APIs, process data, generate charts, and provide insights. A deep report that used to take data analysts three days to complete can now be generated by AI in a few minutes.

Community Manager / Customer Service

Today, AI customer service can be online 24/7, respond in multiple languages, automatically filter spam, and provide personalized answers based on user history.

Crypto Trader

High-frequency trading, arbitrage, market-making, etc., have been the core advantages of crypto traders.

AI's advantages in these areas are overwhelming: faster reaction times, stronger pattern recognition capabilities, more precise risk control, and tireless execution discipline.

NFT Artist

AI-generated visual content is now comparable to or even surpasses that of human artists in quality, and more importantly, its creation cost is almost zero.

Emerging New Professions in Web3

AI-Web3 Collaborative Architect

As AI agents begin to directly participate in on-chain interactions, projects need to design collaboration methods for both from a system architecture perspective.

This role is responsible for solving issues such as how AI can safely control multi-signature wallets, how to participate in DAO governance, and how to verify AI reasoning results on-chain, essentially building the underlying architecture for an "AI-participatory Web3 system."

AI Agent Training Coordinator

When a project runs various agents for trading, community, risk control, and data simultaneously, how can they cooperate without losing control?

This position defines the boundary of agent responsibilities, levels of authority, incentives and constraint mechanisms, to prevent competition, internal friction, and even systemic risks between agents.

Senior Prompt Engineer

In Web3 scenarios, agent behavior highly depends on context and constraints rather than a single prompt. This role is evolving from "writing prompts" to "designing long-term behavioral frameworks," including role settings, memory structures, invocation permissions, and failure fallback mechanisms, which directly determine the stability and controllability of AI behavior on-chain.

On-Chain Behavioral Economist Designer

When AI agents become significant participants on-chain, traditional token economic models based on human emotions begin to fail.

On-chain behavioral economic designers need to design incentive mechanisms that attract human participation while resisting AI arbitrage and manipulation, introducing adaptive parameters and dynamic constraints, and addressing the ability of AI to quickly identify vulnerabilities.

Web3 Compliance and Ethics Officer

When AI agents are used for governance decisions, risk control, and user screening, algorithmic bias and accountability become unavoidable issues.

Web3 compliance and ethics officers need to understand legal, technical, and governance logic simultaneously, seeking a feasible balance between regulatory requirements and decentralization principles.

Privacy and Human Verification Expert

In an era dominated by AI agents, distinguishing "human identity" from "machine identity" will create tremendous economic value. These experts will leverage privacy computing and biometric recognition technologies to provide trusted human verification services in Web3 environments.

Conclusion: Adaptability is the Only Certainty

For Web3 practitioners, it may truly be time to start thinking: Will what I am doing now still require human involvement in three years?

Understanding what AI can and cannot do, finding the seams for human-machine collaboration — that is not only the soil for the emergence of new professions but also the true ticket to the next era.

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