R0042/2026-04-01/Q001/H2¶
Statement¶
Multiple industry surveys document overlapping but not identically ranked motivations for private AI deployment, with convergence on top-tier items (security, compliance, sovereignty) but divergence on secondary priorities.
Status¶
Current: Supported
Supporting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | Deloitte frames sovereign AI as strategic independence — security, compliance, and governance are central |
| SRC02-E01 | Allganize identifies security, customization, and cost at scale as top on-prem motivations |
| SRC03-E01 | KPMG identifies cybersecurity, data privacy, and data quality as intensified enterprise constraints |
| SRC04-E01 | Deepset adds IP protection, behavioral governance, and model drift prevention |
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| None | No evidence contradicts the existence of overlapping documentation |
Reasoning¶
Every source documents a subset of the same motivation space, with security and compliance appearing in all of them. The differences are in emphasis and framing — Deloitte emphasizes sovereignty, KPMG emphasizes risk management, Allganize emphasizes practical deployment advantages. This pattern of convergent-but-not-identical documentation is exactly what H2 predicts.
Relationship to Other Hypotheses¶
H2 is the middle ground between H1 (perfect consensus) and H3 (no evidence). The evidence strongly supports this hypothesis over both alternatives.