{"generated_at":"2026-10-01T09:26:24.125955+00:00","key_stats":{"computed":"2026-10-01T06:40:11.221188+00:00","constraint":41,"dcpi_score":48.6,"excess":54,"facility_count":10,"mw_reporting_count":6,"name":"Eagle Mountain","recent_deals":[],"slug":"eagle-mountain","state":"UT","top_operators":[{"count":4,"name":"Meta"},{"count":2,"name":"Meta Platforms"},{"count":2,"name":"Unknown"},{"count":1,"name":"Google"},{"count":1,"name":"QTS"}],"total_mw":700.0,"verdict":"CAUTION"},"model":"claude-haiku-4-5","name":"Eagle Mountain","narrative_md":"Eagle Mountain operates as a mid-sized, Meta-dominated cluster with 10 tracked facilities totaling 700 MW across a competitive operator base. Meta controls 6 of the 10 sites (either through Meta or Meta Platforms entities), establishing clear market concentration. The remaining sites are held by Google, QTS, and two unknown operators, suggesting a mix of hyperscaler presence and smaller regional players. Power availability remains the primary concern: the excess-power score of 54/100 indicates moderate surplus capacity, but the constraint score of 41/100 signals meaningful infrastructure limitations that will become acute if demand spikes.\n\nThe CAUTION verdict reflects genuine operational tension rather than terminal risk. An excess-power score below 70/100 paired with constraint pressure below 50/100 means Eagle Mountain can accommodate incremental workloads but lacks the cushion for aggressive expansion without grid or interconnection upgrades. For acquisition-focused buyers, this creates a paradox: entry valuations may remain reasonable because growth headroom is visibly capped, but operating margins depend on utilization discipline. Buyers should model conservative utilization ramps and budget for infrastructure capex that the DCPI constraints imply. Refinancing existing capacity beats chasing nameplate expansion in this environment.\n\nDeal flow remains dormant\u2014no M&A has been tracked in Eagle Mountain despite the significant installed base and Meta's heavyweight presence. This dormancy reflects either market satisfaction (operators are achieving returns at current ownership stakes) or structural barriers (the tight power/constraint picture discourages rollup activity). Meta's 60% facility count dominates the operator roster, which typically signals either efficient in-house management or reduced acquisition appetite among hyperscalers already deployed at scale. The presence of two unidentified operators introduces opacity; their status\u2014whether stranded assets, dark fiber holders, or genuine build-outs\u2014remains unknown but warrants due diligence given their 20% facility share.\n\nForward-looking, Eagle Mountain's trajectory depends entirely on whether local transmission upgrades or new power contracts materialize to lift the constraint score; without them, the market risks becoming a mature, low-growth secondary node in the AI data-center ecosystem.","slug":"eagle-mountain","word_count":318}