Aaron Levie：AI 正在创造哪些新岗位
We’re already starting to see what kind of new jobs AI is creating.
Box CEO Aaron Levie 指出，AI 落地经济需要大量技术工作与配套服务，由此催生应用型 AI 工程师、负责在企业内部署智能体的 FDE，以及专门做 AI 部署的新服务公司等岗位。他认为已发布的就业数据低估了企业内部转向 AI 工作的存量岗位，许多数据、研究和软件岗位正被重新定位。银行、生命科学、制造业乃至律所都在增聘技术人才或调整现有角色以推进智能体部署。
查看原帖AI-related employment is surging: AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates. This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at +117,000, and AI engineers at +105,000. As a result, these 3 categories have…
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AI-related employment is surging: AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates. This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at +117,000, and AI engineers at +105,000. As a result, these 3 categories have accounted for +504,000 new jobs. AI-related positions also offer significantly higher pay, with a median salary of ~$180,000 on LinkedIn, compared to $80,000 across all jobs. This comes as the rapid expansion of AI infrastructure, particularly the buildout of data centers, is driving stronger demand for labor. The AI boom is reshaping the US job market.
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We’re already starting to see what kind of new jobs AI is creating.
AI requires significant technical work and surrounding services to deploy into the economy. This means jobs for AI engineers that build applied AI products sold to (or within) enterprises, FDEs to deploy agents into companies, new services firms for deploying AI, and more.
And even the published stats of new jobs undercount all the existing jobs that are transitioning to new areas of AI work in an enterprise. Many prior data, research, and software jobs large enterprises are also being repositioned for working with AI.
Every bank, life sciences company, manufacturer, and even law firm is bringing on more technical talent -or repositioning existing roles- to help with agent deployment in their companies. It’s a lot easier to picture what AI can replace vs. what it creates until it starts happening. Now we’re seeing what this looks like.