Anthropic 几乎停止招聘初级员工,内部数据显示 AI 智能体工时达人类 6 倍
Anthropic has nearly stopped hiring junior staff because AI agents now work six times as many hours
- 1Anthropic 内部研究显示技术部门初级岗位占比从 21% 降至 14%,新招员工中初级占比从 27% 降至 9%
- 2官方称到 2026 年 8 月 AI 智能体工时达人类员工 6 倍,自 2026 年 3 月起超过人类,研究部门达 19:1
- 3官方称工程师代码提交量增至 5.1 倍,法务合同处理量增至 3.1 倍,销售成交量增至 1.7 倍
- 4研究自认 Anthropic 属重 AI 特例、数字难推广到整体经济,另有论文警告初级岗位消失的代价要到 2030 至 2045 年才显现
Anthropic 的内部数据说明初级技术岗位可被智能体规模性替代,但该公司是重度使用 AI 的特例,更像先行信号而非普遍趋势。
- 影响:初级工作交给智能体可带来短期效率提升,但初级岗位收缩会收窄资深人才的成长通道;Lovett 论文判断专家断层的代价在 2030 至 2045 年显现,软件工程、金融分析、法律研究敞口较高。
- 参考:可考虑盘点初级岗位承担的任务清单,先算出哪些能交给智能体、哪些须保留作人才梯队;值得在效率评估中加入人才储备指标,避免招聘口径只看短期产出。
- 依据:数据来自 Anthropic 发布的内部研究,属官方口径暂无独立验证;文章同时指出整体经济尚未显示 AI 带来的可测量生产率提升,Lovett 论文为外部研究旁证。
Anthropic is hiring fewer and fewer junior employees in technical roles, while the hours logged by its AI agents keep climbing.
According to an internal study published by the AI company, the share of junior positions in technical departments dropped from 21 percent to 14 percent since early 2025. New hires took a bigger hit. The junior share there fell from 27 percent to just 9 percent. Open junior roles declined especially sharply starting in December 2025.

Anthropic points to the growing capability of its AI agents as the reason. By August 2026, those agents were logging six times as many work hours as human employees. Tasks like writing code and finding bugs are increasingly handed off to Claude. Junior hiring declined the most in roles where Claude handles the most complex work.

Productivity rose across every department, according to Anthropic. Engineers shipped 5.1 times as many code commits, data scientists ran 3.1 times as many queries, and the legal team processed 3.1 times as many contracts. Sales closed 1.7 times as many deals, recruiters hired 1.4 times as many people, and accounting handled 1.4 times as many invoices.
The study itself admits that Anthropic is a special case, though. It's an extremely AI-heavy software company, and the results don't map easily onto the broader economy. Rapid business growth and voluntary adoption of AI tools could also be skewing the numbers. So far, the wider economy hasn't shown measurable productivity gains from AI.
Fewer junior roles now means fewer experts later
Researcher Nolan Lovett of the NATO Special Operations University recently described a "tragedy of the cognitive commons" in a research paper. When individual companies replace entry-level positions with AI, they benefit from the efficiency gains while the costs get spread across everyone who needs experienced talent later. Anthropic fits that pattern.
Skilled professionals only develop through years of practice in the very junior roles that are now disappearing. Lovett argues the full impact won't show up until 2030 to 2045 because today's available experts were trained 5 to 20 years ago. Software engineering, financial analysis, and legal research are the most exposed fields.
Lovett's prediction only holds if humans are still doing this kind of work in the future, though. That's something Anthropic itself probably doesn't expect: the company has suggested in the past that programmers and call center workers would eventually need to move into jobs like electrician or nurse.
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来源:The Decoder:AI News · the-decoder.com