Author: TinTinLand
When AI can perfectly replace complex white-collar tasks at an extremely low cost, the impact on intellectual job positions may be faster and more thorough than any previous industrial revolution.
For ordinary people, a critical question must be seriously considered: In the AI era, which careers are rapidly disappearing? And how does this impact affect job positions in the Web3 industry?
Web3 Careers Rapidly Fading Under the Impact of AI
Junior Solidity / Contract Developers
AI can already generate about 80% of standardized smart contracts. Many Web3 projects have started using AI to generate initial versions of contracts, which are then reviewed and optimized by senior developers.
Junior Researchers / Analysts
If your work involves: organizing materials, writing project introductions, translating whitepapers, creating comparative tables—then you are doing exactly 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 a data analyst three days to complete can now be generated by AI in minutes.
Community Managers / Customer Support
Today, AI customer support can operate 24/7, respond in multiple languages, automatically filter spam, and provide personalized answers based on user history.
Crypto Traders
High-frequency trading, arbitrage, market making, and other activities were once the core advantages of crypto traders.
AI's advantages in these areas are overwhelming: faster reaction speeds, stronger pattern recognition capabilities, more precise risk control, and tireless execution discipline.
NFT Artists
AI-generated visual content can already match or even surpass the quality of human artists, and more importantly, its creation cost is almost zero.
Emerging New Web3 Careers
AI-Web3 Synergy Architect
As AI Agents begin to directly interact on-chain, projects need to design collaboration methods between the two at the system level.
This role is responsible for solving issues such as how AI can securely control multi-signature wallets, how to participate in DAO governance, and how to verify AI reasoning results on-chain. Essentially, they are building the underlying architecture for "AI-participatory Web3 systems."
AI Agent Training Coordinator
When a project simultaneously runs multiple Agents for trading, community management, risk control, data analysis, etc., how can they collaborate without losing control?
This position requires defining the Agents' responsibility boundaries, permission levels, incentive and constraint mechanisms to prevent博弈, internal consumption, or even systemic risks among 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 behavior frameworks," including role setting, memory structure, calling permissions, and failure fallback mechanisms, directly determining the stability and controllability of AI's on-chain behavior.
On-Chain Behavioral Economics Designer
When AI Agents become important participants on-chain, traditional token economic models based on human emotions begin to fail.
On-chain behavioral economics designers need to design incentive mechanisms that can attract human participation while resisting AI arbitrage and manipulation, introducing adaptive parameters and dynamic constraints, and responding to AI's rapid vulnerability identification capabilities.
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, finding a practical balance between regulatory requirements and decentralized principles.
Privacy and Human Verification Expert
In an era dominated by AI Agents, distinguishing between "human identity" and "machine identity" will generate significant economic value. These experts will use privacy computing and biometric recognition technologies to provide trusted human verification services for the Web3 environment.
Conclusion: Adaptability Is the Only Certainty
For Web3 practitioners, it may indeed be time to start thinking: Will the work I am doing now still require humans three years later?
Understanding what AI can and cannot do, and finding the seams where humans and machines collaborate—that is not only the soil where new careers grow but also the true ticket to the next era.
