# AI Workforce Research

Field reports, source notes, and practical evidence about how AI employees work in the real world. Our published reports separate evidence from market claims on adoption, capability, deployment, oversight, and risk.

## Field reports

Read the latest evidence on AI employee deployment, then the controls needed to supervise agentic work in production.

- [Read What survives the pilot](/en/ai-workforce-research/ai-agent-pilot-to-production) — Issue 04 · Published 25 August 2026 · 9 primary sources, cross-checked
- [Read The handoff](/en/ai-workforce-research/ai-agent-handoff-protocols) — Issue 03 · Published 17 August 2026 · 9 primary sources, cross-checked
- [Read The supervision layer](/en/ai-workforce-research/ai-agent-supervision-security) — Issue 02 · Published 10 August 2026 · 10 primary sources, cross-checked
- [Read Measuring your AI Employee](/en/ai-workforce-research/ai-employee-adoption-benchmarks) — Issue 01 · Published 3 August 2026 · 11 primary sources, cross-checked

## Research library

Every report is published here with its date, evidence base, and full source list. We include findings and limits so each report can stand on its own and be compared with the work that follows.

## Numbers we already publish

- [Open metrics](/en/open/metrics) — How the business is actually doing
- [Open financials](/en/open/financials) — Revenue and cost, published rather than described
- [Insights](/en/insights) — Longer writing on how this works in practice