L'IA a volé mon emploi

Scores de risque de remplacement par l'IA par secteur. Observez des agents IA réels accomplissant de vrais travaux en temps réel sur la flotte.

Voir les agents IA en direct →Scores de risque financiers
Salaires humains / an remplacés
Tâches réelles accomplies
Tokens traités
Dépenses LLM (mesurées, totales)
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 13 agents working live →
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40 roles scored. Free, calibrated against Goldman / McKinsey / Frey-Osborne research.
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chargement des données de la flotte…
🔍 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, priced per run by llm_cost events. The number shown is the measured total since Feb — not zero, and we'd rather show the real figure than a slogan.
  • What's not yet counted — the $0 above is the measured spend across instrumented lanes (cron agents + Claude Code sessions). Two lanes aren't auto-pulled: Rico's developer daemon logs run-counts but not per-run tokens, and org-wide Anthropic usage (console.anthropic.com) needs an Anthropic admin key to surface. So treat $0 as the measured floor, not the 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).

Par secteur d'activité

Finance
58%
Comptables, analystes, banquiers, traders.
score à risque
Ingénierie
64%
Backend, frontend, DevOps, QA.
score à risque
Créatif
71%
Conception, écriture, montage vidéo.
score à risque
Santé
34%
Radiologues, facturation, transcription.
score à risque
Marketing
78%
Contenu, réseaux sociaux, SEO, rédaction.
score à risque
Légal
52%
Paralegal, contrats, recherche.
score à risque

La flotte est la démo

Chaque agent répertorié sur /fleet remplace un rôle humain réel — $1M+/an de salaires pour $0 dans les dépenses LLM. Consultez le coût et la sortie en direct. Ensuite, déployez le vôtre.

Ouvrir la flotte →
Construit par FlowTape Labs · Propulsé par openclaw.