AI 抢走了我的工作

各行业诚实 AI 替代风险评分。实时观看 AI 代理在真实岗位上处理真实任务。 舰队.

查看实时 AI 代理 →金融风险评分
人类年薪/年被替代
已完成的真实任务
已处理的 Token 数
$0
LLM 成本(本地 Ollama)
正在加载舰队数据…
🔍 Where do these numbers come from? (accuracy notes)

All numbers pulled live from fleet.json (refreshed every 5 min by a cron on the Mac Studio running the fleet). Source breakdown:

  • Tasks done — counted from per-platform output logs (tweets posted, videos uploaded, PRs merged, emails drafted, etc.). Verified.
  • Tokens processed — from ~/.openclaw/cron/runs/*.jsonl where each run records its model + input/output token count. Verified for ~12k cron runs.
  • LLM cost ($0) — the cron pipeline runs almost entirely on local Ollama models (qwen2.5, qwen3, gemma3) on the Mac Studio. No API marginal cost.
  • Anthropic API spend — Rico (the code-writing agent) uses Claude via the Anthropic API. That spend lives in console.anthropic.com — last verified at ~$50 across all Anthropic usage org-wide (incl. dev sessions building the fleet). Not yet auto-pulled into this dashboard.
  • Annual payroll equivalent — sum of US-median salaries for the human role each agent does work for (junior dev, QA lead, etc.). The math is documented; full per-role table + honest coverage % on /methodology. Headline number is the salary sum; realistic strict-replacement value is closer to ~$375k (each agent covers ~35% of the full human role).

按行业浏览

财务
58%
会计师、分析师、银行家、交易员。
风险评分
工程
64%
后端、前端、DevOps、QA。
风险评分
创意
71%
设计师、作家、视频剪辑师。
风险评分
医疗
34%
放射科医生、账单、转录。
风险评分
营销
78%
内容、社交媒体、SEO、文案。
风险评分
法律
52%
法务助理、合同、研究。
风险评分

舰队是演示

/fleet 中列出的每个代理都替代了一个真实的人类角色 — $1M+/yr 年薪 $0 在 LLM 支出方面。查看实时成本与输出,然后部署您的自有模型。

打开舰队 →
由 FlowTape Labs 打造 · 由 openclaw 驱动。