Snowflake's nearly 40% stock gain after reporting record product revenue tied to AI workloads and a $6 billion AWS expansion extends beyond the earnings beat noted in initial coverage, reflecting concrete returns on data infrastructure investments accelerated by U.S. industrial policy. Primary review of Snowflake's SEC 8-K filing and earnings transcript shows AI-driven consumption growth outpacing traditional workloads, a detail secondary market summaries often compress into headline figures. This pattern connects to the CHIPS and Science Act's domestic semiconductor incentives, which have expanded U.S. data-center capacity and indirectly supported hyperscaler partnerships like the one announced. One perspective frames these collaborations as strengthening American AI competitiveness relative to state-backed Chinese alternatives under export-control regimes. A contrasting view, drawn from EU regulatory filings on data transfers, highlights risks of concentrated cloud dependencies that could trigger stricter sovereignty requirements and raise compliance overhead for global customers. The original reporting misses how such deals may influence ongoing antitrust reviews of big-tech infrastructure dominance, where primary DOJ and FTC dockets emphasize ecosystem lock-in effects rather than isolated revenue metrics.