R0007/2026-03-20/C009 — Assessment¶
BLUF¶
The core observation is confirmed: no major enterprise survey identifies capability-based stratification in AI deployment. However, the McKinsey sample size is incorrect: their surveys used n=1,363 (early 2024), n=1,491 (mid-2024), or n=1,993 (2025) — none match n=1,933. BCG n=10,600 and Deloitte n=3,235 are confirmed.
Probability¶
Rating: Likely (55-80%) Confidence in assessment: Medium Confidence rationale: Based on web-accessible evidence.
Reasoning Chain¶
- McKinsey AI surveys: n=1,363 (Feb-Mar 2024), n=1,491 (Jul 2024), n=1,993 (Jun-Jul 2025). None match n=1,933. BCG AI at Work 2025: n=10,635 confirmed. Deloitte State of AI 2025: n=3,235 confirmed. None of these surveys stratify by individual capability level. [SRC01-E01, High reliability, High relevance]
Evidence Base Summary¶
| Source | Description | Reliability | Relevance | Key Finding |
|---|---|---|---|---|
| SRC01 | McKinsey State of AI Survey | High | High | See BLUF |
Collection Synthesis¶
| Dimension | Assessment |
|---|---|
| Evidence quality | Medium to Robust |
| Source agreement | High |
| Source independence | Assessed per claim |
| Outliers | None |
Detail¶
McKinsey AI surveys: n=1,363 (Feb-Mar 2024), n=1,491 (Jul 2024), n=1,993 (Jun-Jul 2025). None match n=1,933. BCG AI at Work 2025: n=10,635 confirmed. Deloitte State of AI 2025: n=3,235 confirmed. None of these surveys stratify by individual capability level.
Gaps¶
| Missing Evidence | Impact on Assessment |
|---|---|
| Full-text access | Low to Moderate |
Researcher Bias Check¶
Declared biases: None. Influence assessment: Standard verification.
Cross-References¶
| Entity | ID | File |
|---|---|---|
| Hypotheses | H1, H2, H3 | hypotheses/ |
| Sources | SRC01 | sources/ |
| ACH Matrix | — | ach-matrix.md |
| Self-Audit | — | self-audit.md |