Author: TinTinland
When AI can perfectly replace complex white-collar tasks at extremely low cost, the impact on mental work jobs may be faster and more thorough than any industrial revolution.
For ordinary people, a crucial question is now before them: In the age of AI, which professions are rapidly disappearing? And what impact will this shock have on jobs in the Web3 industry?
Web3 professions are rapidly fading away under the impact of AI.
Junior Solidity/Contract Developer
AI can already generate about 80% of standardized smart contracts, and many Web3 projects have started using AI to generate initial versions of contracts, which are then reviewed and optimized by senior developers.
Junior Researcher/Analyst
If your job involves organizing data, writing project descriptions, translating white papers, and creating comparative tables, then you are actually doing the type of work that AI excels at.
AI agents can now automatically call APIs, process data, generate charts, and provide insights. In the past, an in-depth report that would have taken a data analyst three days to complete can now be generated by AI in minutes.
Community Administrator/Customer Service
Today, AI customer service can be online 24/7, provide multilingual responses, automatically filter spam messages, and offer personalized answers based on user history.
Crypto Traders
High-frequency trading, arbitrage, and market making were once the core strengths 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 Artists
AI-generated visual content is comparable to or even surpasses human artists in quality, and more importantly, its creation cost is almost zero.
Emerging Web3 Professions
AI-Web3 Collaborative Architect
As AI agents begin to directly participate in on-chain interactions, projects need to design how the two collaborate at the system level.
These roles are responsible for solving problems such as how AI can securely control multisignature wallets, how it can participate in DAO governance, and how to verify AI inference results on-chain. Essentially, they are building the underlying architecture for "AI-participable Web3 systems".
AI Agent Training Coordinator
When a project runs multiple agents simultaneously, such as transaction, community, risk control, and data agents, how can they be coordinated without getting out of control?
This role requires defining the responsibilities, authority levels, incentive and constraint mechanisms of agents to prevent conflicts, internal friction, or even systemic risks among agents.
Senior Prompt Engineer
In Web3 scenarios, agent behavior is highly dependent on context and constraints, rather than a single prompt word. This role is evolving from "writing prompts" to "designing long-term behavioral frameworks," including role settings, memory structures, access permissions, and fallback mechanisms, which directly determine the stability and controllability of AI's on-chain behavior.
On-chain behavioral economics designer
As AI agents become important participants on the blockchain, 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, introduce adaptive parameters and dynamic constraints, and address 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 attribution of responsibility become unavoidable issues.
Web3 compliance and ethics officers need to understand legal, technological, and governance logics simultaneously, and find a workable balance between regulatory requirements and the principle of decentralization.
Privacy and Human Evidence Expert
In an era dominated by AI agents, distinguishing between "human identity" and "machine identity" will generate enormous economic value. These experts will leverage privacy computing and biometric identification technologies to provide trusted human verification services for the Web3 environment.
Conclusion: Adaptability is the only certainty.
For Web3 practitioners, it may be time to start thinking: Will the things I'm doing now still need to be done by humans three years from now?
Understanding what AI can and cannot do, and finding the seams between human and machine collaboration—that's not just fertile ground for new professions, but also the real ticket to the next era.
