Anthropic Employee Predicts AI Will Take Over 75% of Work by 2030 · 1018-746

2026-10-18 16:00

Author: RadarAI Editorial Editor: RadarAI Editorial Last updated: 2026-10-18 Review status: Editorial review pending Brief 速报官方 AI动态开源

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## 🔍 Core Insights **Anthropic** has released multiple reports outlining the full picture of AI's economic impact: its internal employees expect AI to complete **75%** of their own work by 2030, and co-founder Jack Clark further predicts AI will drive nearly **50%** growth in US **GDP** [1][14]; meanwhile, **AWS** says the payback period for AI server investment is under three years, while **DeepSeek** opens search and scraping **APIs** at 5 yuan per thousand calls, further lowering the cost of building Agents [6][12]. ## 🚀 Key Developments - **Wide gap between Anthropic employees' and the public's AI expectations** [1]: Employees expect AI to complete 75% of work by 2030, while the public expects only 28%; 91% of employees are optimistic about Nobel-level discoveries. - **Anthropic's share of junior technical employees drops to 14%** [3]: The proportion of junior hires fell from 27% to 9%, while the company tripled in size over the same period, with AI work hours reaching 6 times that of humans. - **Anthropic introduces lawyer negotiation ethics to Claude agents** [5]: Plans to embed norms for bargaining, dispute resolution, and compensation negotiation into agent behavior guidelines. - **Jack Clark predicts AI will boost US GDP by nearly 50% by 2030** [14]: Economic output could grow from 30 trillion to 44 trillion USD, provided technological progress continues. - **AWS CFO says the AI infrastructure boom is sustainable** [6]: AI server payback period is under three years, with nearly 500 billion USD in backlog orders and AWS quarterly revenue of 42.2 billion USD. - **DeepSeek opens cost-effective search and scraping APIs** [12][17]: 5 yuan per thousand calls, free for timeouts, can read WeChat official account articles, significantly reducing Agent retrieval costs. - **Meta paper proposes the concept of Agent Plasticity** [8]: Measures the efficiency with which agents convert experience into future gains under frozen weights, covering environments such as chess, Go, and NetHack. - **Voxel51 3.0 releases a unified multimodal data platform** [18]: Aimed at Physical AI, integrating search, annotation, and evaluation, with a new Voxel51 Agent featuring 45+ MCP tools. - **MIT multimodal model lets large models "understand" crystal structures** [20]: Combines 3D atomic structures with natural language, providing independently validated candidate materials in solid-state lithium battery electrolyte screening. ## 🔗 Sources [1] Anthropic research report: Employees expect AI to complete 75% of their own work by 2030, while ordinary US workers expect only 28% — https://aihot.news/items/lwuhkpo4mio18gn68j1o2jurj [3] Anthropic's share of junior technical employees drops from 21% to 14%, while the company tripled in size over the same period — https://aihot.news/items/nofq14yuyhmcuglejw2n4dtqi [5] FT: Anthropic draws on lawyer negotiation ethics to set norms for Claude agent negotiations — https://aihot.news/items/yk0xjvg7sbtx5wlrh2r8mzsl3 [6] AWS CFO John Felton says the AI infrastructure boom is sustainable, with AI server investment payback period under three years — https://aihot.news/items/jaxuihlc7903rq06e0clg4uf1 [8] Meta paper proposes Agent Plasticity to measure differences in how efficiently agents learn from experience — https://aihot.news/items/ca5ehryi8p

Anthropic has released multiple reports outlining the full picture of AI's economic impact: its internal employees expect AI to complete 75% of their own work by 2030, and co-founder Jack Clark further predicts AI will drive nearly 50% growth in US GDP [1][14]; meanwhile, AWS says the payback period for AI server investment is under three years, while DeepSeek opens search and scraping APIs at 5 yuan per thousand calls, further lowering the cost of building Agents [6][12].

🚀 Key Developments

Wide gap between Anthropic employees' and the public's AI expectations [1]: Employees expect AI to complete 75% of work by 2030, while the public expects only 28%; 91% of employees are optimistic about Nobel-level discoveries.
Anthropic's share of junior technical employees drops to 14% [3]: The proportion of junior hires fell from 27% to 9%, while the company tripled in size over the same period, with AI work hours reaching 6 times that of humans.
Anthropic introduces lawyer negotiation ethics to Claude agents [5]: Plans to embed norms for bargaining, dispute resolution, and compensation negotiation into agent behavior guidelines.
Jack Clark predicts AI will boost US GDP by nearly 50% by 2030 [14]: Economic output could grow from 30 trillion to 44 trillion USD, provided technological progress continues.
AWS CFO says the AI infrastructure boom is sustainable [6]: AI server payback period is under three years, with nearly 500 billion USD in backlog orders and AWS quarterly revenue of 42.2 billion USD.
DeepSeek opens cost-effective search and scraping APIs [12][17]: 5 yuan per thousand calls, free for timeouts, can read WeChat official account articles, significantly reducing Agent retrieval costs.
Meta paper proposes the concept of Agent Plasticity [8]: Measures the efficiency with which agents convert experience into future gains under frozen weights, covering environments such as chess, Go, and NetHack.
Voxel51 3.0 releases a unified multimodal data platform [18]: Aimed at Physical AI, integrating search, annotation, and evaluation, with a new Voxel51 Agent featuring 45+ MCP tools.
MIT multimodal model lets large models "understand" crystal structures [20]: Combines 3D atomic structures with natural language, providing independently validated candidate materials in solid-state lithium battery electrolyte screening.

🔗 Sources

[1] Anthropic research report: Employees expect AI to complete 75% of their own work by 2030, while ordinary US workers expect only 28% — https://aihot.news/items/lwuhkpo4mio18gn68j1o2jurj [3] Anthropic's share of junior technical employees drops from 21% to 14%, while the company tripled in size over the same period — https://aihot.news/items/nofq14yuyhmcuglejw2n4dtqi [5] FT: Anthropic draws on lawyer negotiation ethics to set norms for Claude agent negotiations — https://aihot.news/items/yk0xjvg7sbtx5wlrh2r8mzsl3 [6] AWS CFO John Felton says the AI infrastructure boom is sustainable, with AI server investment payback period under three years — https://aihot.news/items/jaxuihlc7903rq06e0clg4uf1 [8] Meta paper proposes Agent Plasticity to measure differences in how efficiently agents learn from experience — https://aihot.news/items/ca5ehryi8p

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