R0042/2026-03-28/Q001/H2¶
Statement¶
Enterprise motivations for private AI are documented but fragmented across sources with no consistent prioritization — different surveys and vendors emphasize different motivations with no consensus.
Status¶
Current: Eliminated
The evidence strongly contradicts this hypothesis. While no single authoritative ranked survey exists, the cross-source convergence is remarkably consistent. All seven vendor and industry sources identify data sovereignty/security/compliance as top-tier motivations. The fragmentation is in ordering and granularity, not in substance.
Supporting Evidence¶
No evidence directly supports this hypothesis.
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | Seven motivations with clear overlap to other sources |
| SRC02-E01 | Five motivations consistent with pattern |
| SRC03-E01 | Four motivations consistent with pattern |
| SRC04-E01 | Six motivations consistent with pattern |
| SRC05-E01 | Four motivations consistent with pattern |
| SRC06-E01 | Seven motivations consistent with pattern |
| SRC07-E01 | Three motivations consistent with pattern |
Reasoning¶
Seven independent sources all converge on the same core set of motivations. While the exact ordering varies, every source places data sovereignty, security, and regulatory compliance in the top tier. This level of convergence eliminates the "no consensus" hypothesis.
Relationship to Other Hypotheses¶
H2 is the null hypothesis that the field is fragmented. The evidence clearly contradicts it. The real question is whether the consensus is complete (H1) or partial with industry variation (H3).