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State of AI Readiness — Aggregate Score Distribution

Based on 31 completed assessments from 30 unique users across 5 role-mapped domains. Generated 6/2/2026.

DomainSample sizeP25Median (P50)P75P90
Software Engineer19828997100
QA / Test Engineer475788491
Product Manager360758286
Project / Program Manager392979999
Software Architect157575757

Weakest cluster overall: tool-agent-security — average 80%.

 State of AI Readiness · 2026

The data nobody else
is publishing.

Anonymized score distributions across 7 professional domains. Every completed assessment on OutcomeOS adds a data point. No vendor surveys, no opinion polling — just rubric-graded performance.

Updated hourly · v1 · Built by Abhisek Bose

Completed assessments

31

Unique respondents

30

Domains covered

5

Weakest cluster · global

Tools, Agents & Security

Avg 80%

By domain

P25 · P50 (median) · P75 · P90

  Real-task simulator distributions

What real-task performance looks like.

1 completed simulator runs across 1 tasks. Each task is graded on a 5-dimension rubric including hallucinations caught — the signal MCQ tests literally cannot measure.

Methodology

What this is.

  • · Every score on this page comes from a completed OutcomeOS assessment.
  • · Anonymized: no names, no companies, no PII. Aggregated only.
  • · 12 scenario questions per attempt, scored against an 8-skill rubric.
  • · Domains: Engineer, Architect, Frontend, PM, PgM, HR, Operations.
  • · Updated hourly.

What this is not.

  • · Not a vendor survey. Nobody self-reported.
  • · Not opinion polling. Each data point is a graded performance.
  • · Not a complete picture. Sample sizes are still growing per domain.
  • · Not a credential by itself. Cohort graduates receive a signed Skill Passport — a W3C Verifiable Credential.

Citation

State of AI Readiness, 2026. OutcomeOS. Generated 6/2/2026. Available at outcomeos.online/benchmarks

Free to cite in articles, decks, and reports. Attribution appreciated. If you want the raw aggregate JSON, hit the API.