摘要：算法工程师、大模型专家、AI产品经理——这些数年前还鲜为人知的职业，如今已成为就业市场的“香饽饽”。全球就业版图正被人工智能深刻重塑，从中国到世界，AI带来的不仅是技术突破，更是规模空前的就业新机遇。数据显示，2025年全球AI相关职位空缺已达380万个，较2

算法工程师、大模型专家、AI产品经理——这些数年前还鲜为人知的职业，如今已成为就业市场的“香饽饽”。全球就业版图正被人工智能深刻重塑，从中国到世界，AI带来的不仅是技术突破，更是规模空前的就业新机遇。数据显示，2025年全球AI相关职位空缺已达380万个，较2023年的220万个实现31%的年均增长；而在中国，AI相关人才缺口已超500万人，供求比例达1∶10，关联就业生态正加速扩张。

2025年的AI人才市场呈现出爆发式增长态势。据脉脉《2025年AI人才流动报告》，1月至7月AI新发岗位量同比暴涨超10倍，简历投递量也激增11倍，超1000家企业在平台发布了7.2万个相关岗位，覆盖互联网大厂、车企、AI垂类企业等多元主体。算法类岗位成为核心需求，在热招TOP20岗位中占比过半，“大模型算法”以94.16的招聘指数高居榜首，“搜索算法”人才供需比仅0.39，相当于5个岗位争抢2名人才。

企业AI化转型的加速推动岗位渗透率持续攀升。新经济行业新发岗位AI渗透率已超10%，较去年同期提升10倍以上，且企业规模越大投入越积极。字节跳动、小红书、阿里巴巴稳居热招企业前三。薪酬水平同步走高，AI岗位平均月薪达61475元，微软、阿里平头哥等企业岗位月薪超8.5万元，“AI科学家/负责人”岗位更是突破13万元。

百度2026届校招的布局颇具代表性，其发布的AI相关岗位超200种，在4000份校招offer中占比超90%，覆盖算力、框架、模型、应用全技术架构。这背后是AI业务的强劲增长——百度Q2财报显示AI新业务收入首超100亿元，文心思考模型更登顶国际榜单，印证了技术发展与人才需求的正向循环。

就业机会的拓展已突破纯技术领域。2025年上半年，AI非技术类岗位量同比增长7.74倍，产品、运营、设计成为三大热招方向。从电商平台的AI训练师到医疗领域的AI辅助技术人员，从制造业的智能设备运维师到法律行业的AI文书分析师，AI正像曾经的计算机和互联网一样，成为渗透千行百业的基础技术，催生大量“技术+行业”的复合型岗位。

年轻人才成为市场争抢的核心资源。应届生岗位中，5万-8万元月薪占比达42.66%，8万元以上超高薪岗位占14.68%，相当于每7个应届生岗位就有1个实现“年薪百万”。不过高回报伴随高流动性，AI人才平均在职时长仅2.02年，62.99%计划一年内跳槽，凸显领域活力。

从全球视角看，AI对就业的拉动效应持续显现。世界经济论坛预测，到2030年AI将创造1100万个岗位，净增约200万个就业机会。在中国，人社部数据显示每个AI新职业可带动30万-50万人就业，人机协作正成为主流模式。

技术革命的浪潮中，AI从未是就业的“替代者”，而是“赋能者”。从380万个全球岗位到中国百万级人才缺口，这些数字背后是就业结构的升级与新生。对于主动拥抱变革的劳动者而言，AI时代的机遇远大于挑战。

AI-Driven Job Creation

Roles like Algorithm Engineers, Large Model Specialists, and AI Product Managers—once barely known just a few years ago—have now become "hot commodities" in the job market. The global employment landscape is being profoundly reshaped by artificial intelligence. From China to the rest of the world, AI brings not only technological breakthroughs but also unprecedented-scale new employment opportunities. Data shows that by 2025, the number of global AI-related job vacancies had reached 3.8 million, with an average annual growth rate of 31% compared to 2.2 million in 2023. In China, the gap in AI-related talent has exceeded 5 million, with a supply-demand ratio of 1:10, and the associated employment ecosystem is expanding at an accelerated pace.

The AI talent market witnessed explosive growth in 2025. According to Maimai's 2025 AI Talent Mobility Report, the number of newly posted AI jobs from January to July surged by over 10 times year-on-year, and resume submissions also jumped by 11 times. More than 1,000 enterprises posted 72,000 relevant positions on the platform, covering diverse entities such as major internet companies, automobile manufacturers, and AI vertical enterprises. Algorithm-related positions became the core demand, accounting for more than half of the top 20 in-demand positions. "Large Model Algorithms" ranked first with a recruitment index of 94.16, and the supply-demand ratio for "Search Algorithm" talents was only 0.39, meaning 5 positions competed for 2 talents.

The accelerated AI transformation of enterprises has driven a continuous rise in job penetration. The AI penetration rate of newly posted jobs in the new economy industry has exceeded 10%, an increase of more than 10 times compared to the same period last year, and larger enterprises have made more active investments. ByteDance, Xiaohongshu, and Alibaba ranked among the top three enterprises with the most active recruitment. Salary levels have also risen simultaneously: the average monthly salary for AI positions reached 61,475 yuan, with positions at companies like Microsoft and Alibaba Pingtouge offering monthly salaries exceeding 85,000 yuan, and the monthly salary for "AI Scientist/Head" positions even surpassed 130,000 yuan.

Baidu's 2026 campus recruitment layout is quite representative. It released over 200 types of AI-related positions, accounting for more than 90% of the 4,000 campus recruitment offers, covering the entire technical architecture of computing power, frameworks, models, and applications. Behind this lies the strong growth of Baidu's AI business—its Q2 financial report showed that the revenue from new AI businesses exceeded 10 billion yuan for the first time, and the Wenxin Think Model even topped international rankings, confirming the positive cycle between technological development and talent demand.

The expansion of employment opportunities has extended beyond pure technical fields. In the first half of 2025, the number of non-technical AI positions increased by 7.74 times year-on-year, with product management, operations, and design becoming the three most in-demand directions. From AI Trainers on e-commerce platforms to AI-assisted technicians in the medical field, from Intelligent Equipment Maintenance Engineers in manufacturing to AI Document Analysts in the legal industry, AI is becoming a fundamental technology penetrating all sectors of the economy—just like computers and the internet once were—spawning a large number of compound positions that combine "technology + industry".

Young talents have become the core resource sought after in the market. Among entry-level positions for fresh graduates, those with a monthly salary of 50,000-80,000 yuan accounted for 42.66%, and positions with ultra-high salaries of over 80,000 yuan per month accounted for 14.68%, meaning 1 out of every 7 entry-level positions for fresh graduates offered an "annual salary of one million yuan". However, high returns come with high mobility: the average tenure of AI talents is only 2.02 years, and 62.99% plan to change jobs within a year, highlighting the vitality of this field.

From a global perspective, the driving effect of AI on employment continues to emerge. The World Economic Forum predicts that by 2030, AI will create 11 million jobs, resulting in a net increase of approximately 2 million employment opportunities. In China, data from the Ministry of Human Resources and Social Security shows that each new AI occupation can drive employment for 300,000 to 500,000 people, and human-machine collaboration is becoming the mainstream model.

In the wave of technological revolution, AI has never been a "replacement" for employment, but an "empowerer". From 3.8 million global positions to the million-level talent gap in China, these figures represent the upgrading and renewal of the employment structure. For workers who proactively embrace change, the opportunities in the AI era far outweigh the challenges.

来源：医学顾事