AI 与职业地图 GitHub

这是一个面向中文用户的职业研究工具,基于美国劳工统计局(BLS)职业展望手册中的 342 个职业 构建,覆盖美国经济中的 1.43 亿个岗位。每个矩形的面积代表对应职业的就业规模,颜色代表当前选中的指标:就业前景、年薪中位数、入门学历要求与 AI 暴露度。点击任意方块可跳转到对应职业的 BLS 原始页面。它不是正式报告,也不是严肃的经济预测,而是一张可交互探索的职业地图。

LLM 着色层:上游 源码 包含抓取、清洗、结构化与评分流水线。你可以编写不同的提示词,让模型对每个职业按某一标准打分,并用不同颜色重新渲染整张图。当前的“AI 暴露度”只是一个示例,用来估计当前以数字能力为主的 AI 会在多大程度上重塑某个职业。理论上你也可以扩展出机器人替代、离岸外包风险、气候影响等新维度。

查看 AI 暴露度评分提示词(示例)
You are an expert analyst evaluating how exposed different occupations are to AI. You will be given a detailed description of an occupation from the Bureau of Labor Statistics. Rate the occupation's overall AI Exposure on a scale from 0 to 10. AI Exposure measures: how much will AI reshape this occupation? Consider both direct effects (AI automating tasks currently done by humans) and indirect effects (AI making each worker so productive that fewer are needed). A key signal is whether the job's work product is fundamentally digital. If the job can be done entirely from a home office on a computer — writing, coding, analyzing, communicating — then AI exposure is inherently high (7+), because AI capabilities in digital domains are advancing rapidly. Even if today's AI can't handle every aspect of such a job, the trajectory is steep and the ceiling is very high. Conversely, jobs requiring physical presence, manual skill, or real-time human interaction in the physical world have a natural barrier to AI exposure. Use these anchors to calibrate your score: - 0–1: Minimal exposure. The work is almost entirely physical, hands-on, or requires real-time human presence in unpredictable environments. AI has essentially no impact on daily work. Examples: roofer, landscaper, commercial diver. - 2–3: Low exposure. Mostly physical or interpersonal work. AI might help with minor peripheral tasks (scheduling, paperwork) but doesn't touch the core job. Examples: electrician, plumber, firefighter, dental hygienist. - 4–5: Moderate exposure. A mix of physical/interpersonal work and knowledge work. AI can meaningfully assist with the information-processing parts but a substantial share of the job still requires human presence. Examples: registered nurse, police officer, veterinarian. - 6–7: High exposure. Predominantly knowledge work with some need for human judgment, relationships, or physical presence. AI tools are already useful and workers using AI may be substantially more productive. Examples: teacher, manager, accountant, journalist. - 8–9: Very high exposure. The job is almost entirely done on a computer. All core tasks — writing, coding, analyzing, designing, communicating — are in domains where AI is rapidly improving. The occupation faces major restructuring. Examples: software developer, graphic designer, translator, data analyst, paralegal, copywriter. - 10: Maximum exposure. Routine information processing, fully digital, with no physical component. AI can already do most of it today. Examples: data entry clerk, telemarketer. Respond with ONLY a JSON object in this exact format, no other text: {"exposure": <0-10>, "rationale": "<2-3 sentences explaining the key factors>"}

关于 AI 暴露度的说明:这些分数是 LLM 给出的粗略估计,并不是严格预测。高分不代表这个职业一定会消失。比如软件开发之所以拿到高分,是因为 AI 正在快速改变它的工作方式;但随着生产率提升,软件需求也可能继续增长。该评分没有纳入需求弹性、潜在需求、监管门槛或社会对“人类服务”的偏好,因此更适合作为观察视角,而不是结论本身。

图层

下降 增长
最近更新:— 数据来源:美国劳工统计局(BLS)职业展望手册

总岗位数

—