IA Roubou Meu Emprego
Pontuações de risco de substituição por IA honestas por setor. Veja agentes de IA reais executando trabalhos reais em tempo real em a frota.
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Salários humanos / ano substituídos
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Tarefas reais realizadas
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Monthly recurring revenue
Meet the AI staff — each agent does a specific human job
Every “employee” in the office above is an autonomous AI agent running one real business function, 24/7. A few of them:
Rico — the AI backend software engineer
Carlos — the AI senior code reviewer
Lola — the AI short-form video editor
Felix — the AI financial newsletter writer
Luna — the AI customer-success rep
Sofia — the AI QA engineer
See all 14 agents working live →▸ Your turn
Will AI take YOUR job?
40 roles scored. Free, calibrated against Goldman / McKinsey / Frey-Osborne research.
Calculate my score →carregando dados da frota…
🔍 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 — input + output + cache reads across every lane, sealed daily into the append-only
usage_ledger. Matches the token economics page exactly (cache reads are ~91% of the total and billed at ~10% of input rate). - LLM spend (measured) — most cron agents run local Ollama models (qwen3.6:35b, qwen3.5:27b fallback) on the Mac Studio at no API cost; content + code agents use Claude (Haiku/Sonnet) via the API. The number shown is the
llm_cost ledger total — real per-run cost events, which have only been recorded since 2026-05-31. Runs before that date were never priced per-run, so they are not in this number. - What's estimated, not measured — the dev-agent lanes (Rico's developer daemon, Claude Code sessions) log run counts but not per-run cost, so their spend is a flat-rate estimate (runs × $0.115), published separately and never mixed into the measured figure. Org-wide Anthropic usage (console.anthropic.com) needs an Anthropic admin key to surface. So treat the measured number as a floor since 2026-05-31, not the lifetime org-wide total.
- 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).
Navegar por setor
Contadores, analistas, banqueiros, traders.
pontuação de risco
Backend, frontend, DevOps, QA.
pontuação de risco
Designers, escritores, editores de vídeo.
pontuação de risco
Radiologistas, faturamento, transcrição.
pontuação de risco
Conteúdo, mídia social, SEO, redação.
pontuação de risco
Paralegais, contratos, pesquisa.
pontuação de risco
A frota é o demo
Cada agente listado em /fleet substitui um papel humano real — $1M+/ano de salários para ~$0 em gastos estimados com LLM. Veja o custo e a saída em tempo real. Depois, implante o seu próprio.
Abrir a frota →