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Published: 2026-09-12 08:52:22 Views: 1826
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Jobs are disappearing, tasks are rising! An in-depth analysis of the talent yardstick and management logic of AI-native organizations—understand the future transformation of the workplace. Key content: 1. The essential difference between the job-based and task-based eras 2. Hiring standards and capability requirements under task-driven models 3. Management challenges and transitional forms after jobs disappear
Yang Fangxian
Founder of 53AI / Most Valuable Expert of Tencent Cloud (TVP)
I recently went through a stack of hiring JDs: jobs are disappearing, tasks are taking the stage
Is it one job corresponding to one set of responsibilities, or what problems can one person plus one AI agent solve? The latter is becoming the new talent yardstick
I've recently been studying the talent structure of AI-native organizations, and while at it I went through the hiring JDs of a dozen or so companies. I noticed a subtle change: more and more JDs no longer list job responsibilities; instead, they describe what problems you will solve. A one-word difference, but behind it lies a switch in the basic unit of organization: from job-driven to task-driven.
01 Jobs are the container of the industrial era; tasks are the unit of the AI era: the container remains, but the water inside has been replaced
The job system is a product of the industrial era: pin a job to a string of responsibilities, screen candidates by education and experience, and evaluate performance against the job description. This system has run stably for over a hundred years—so stable that we assume organizations are naturally supposed to look like this. But in AI-native organizations, the basic unit is shifting from the job to the task: the core question is no longer "what should this job do," but "what problems can one person plus one AI agent solve." Jobs are static containers; tasks are dynamic flows. The more AI-native an organization is, the more it revolves around tasks rather than jobs.
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02 Under task-driven models, hiring standards have completely changed: education and experience step back, problem decomposition and task definition take the stage
Traditional hiring looks at stock: what you studied, what you've done, which big company you worked at. Task-driven hiring looks at increment: given a vague, real problem, can you break it into clear tasks, define the key steps, and direct AI to get it done? The former tests memory and experience; the latter tests decomposition and definition. My judgment is that resumes will matter less and less in the future, while portfolios and task records will matter more and more: which problems you've solved, how you solved them, and what the results were—these are far more honest than a list of titles.
03 I've said the same thing to many HR people: stop hiring people who can make PPTs; hire people who can turn problems into results
I've repeated this to my HR friends over and over. The skill of the PPT era was packaging: making known information look pretty. The skill of the AI-native era is execution: breaking down unknown problems, defining them, executing, and delivering. The former, AI does faster and better than you; the latter is where humans shine. To judge whether someone is AI-native talent, don't test whether they can use tools—give them a real problem and see whether their first reaction is to report difficulties or to break down the task. That alone reveals the gap.
04 After jobs disappear, the ones who hurt most aren't employees but HR: what anchors compensation, promotion, and career paths?
Task-driven sounds clean, but implementation is full of hard problems: without jobs, what do you base salary grades on? Without job levels, where do promotions go? Without job descriptions, what does the probation review assess? Employees' sense of security hangs on their jobs; suddenly telling them the job is gone, their first reaction isn't to embrace freedom—it's panic. This isn't employees being conservative; it's that the organization hasn't provided a new anchor. For task-driven models to truly land, you must answer: how can a person's value be stably measured, priced, and accumulated. Before the new anchor is built, don't rush to tear down the old ship.
05 My judgment: jobs won't disappear overnight; they'll first become a hybrid form of task pools plus capability tags
Don't panic when you hear people shouting "jobs are dead"—transitions are never all-at-once. The more realistic path I see is a hybrid form: companies keep a basic job framework for compensation and compliance, but internal operations are already task-based: work comes from a task pool, people are matched by capability tags, performance is calculated by task outcomes, and promotion depends on upgrading to more complex tasks. The job remains, but only as a shell; the inside has fully switched to task logic. Smart organizations don't argue about whether jobs are dead—they simply change how they operate and let the job framework catch up gradually.
06 My advice to individuals is direct: rewrite your resume from "what job I hold" to "what problems I can solve"
Whether the organization changes isn't something you can wait for; individuals can change first. Take out a sheet of paper and write down three questions: What problems have I solved recently? What methods did I use? Which of them can't AI replace? When you're done, you'll find that what truly belongs to you isn't a job title—it's that list of problems. In the future talent market, the job is a label given by the buyer's market; your task record is your own asset. From today on, reorganize your capabilities in the language of tasks, so when opportunity comes, you can catch it.
07 To judge whether a company is truly AI-native, its weekly reports are enough: do they report on jobs or on tasks
Let me share a lazy observation method: look at the weekly reports. If they still say "completed duties within my job responsibilities this week," that's job-driven; if they say "advanced which problem this week, where it's stuck, how to break it down next week," they're already task-driven. The weekly report is the most honest projection of an organization's operating logic. Which logic your organization runs in doesn't depend on how many AI tools it bought, but on how it describes what people do every day. Once the language changes, the organization truly begins to change.
Here's an implementation sequence for companies in transition: first turn one department into a task pool pilot, where employees claim tasks instead of being assigned jobs, run it for a month and watch two numbers—how much per-capita output changed and how much employee initiative changed. Once the pilot works, then roll it out—far safer than a company-wide one-size-fits-all approach.
As I write this, I want to ask you a question: if your job description were taken away tomorrow, leaving only "what problem are you here to solve," could you write it down in three minutes? If you can't, it's time to start being alert.
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