diff --git a/inbox/queue/2026-03-11-strategyinternational-ai-investment-outruns-oversight.md b/inbox/queue/2026-03-11-strategyinternational-ai-investment-outruns-oversight.md
index db93c945..883fe532 100644
--- a/inbox/queue/2026-03-11-strategyinternational-ai-investment-outruns-oversight.md
+++ b/inbox/queue/2026-03-11-strategyinternational-ai-investment-outruns-oversight.md
@@ -7,9 +7,13 @@ date: 2026-03-11
 domain: ai-alignment
 secondary_domains: []
 format: article
-status: unprocessed
+status: null-result
 priority: medium
 tags: [investment, oversight, governance-deficit, deployment-pressure, AI-scale, accountability]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 0 claims, 0 rejected by validator"
 ---
 
 ## Content
@@ -62,3 +66,11 @@ PRIMARY CONNECTION: [[technology advances exponentially but coordination mechani
 WHY ARCHIVED: Provides quantitative scale data ($405B/$650B investment, $600B Sequoia gap, 63% governance deficit) that gives concrete numbers to the abstract coordination gap. Most useful as evidence enrichment for existing claims rather than new claim extraction.
 
 EXTRACTION HINT: Use primarily as evidence enrichment for existing claims about investment-governance mismatch. Note the $600B Sequoia gap as the specific monetization pressure mechanism.
+
+
+## Key Facts
+- Major tech firms projected to spend ~$405 billion building AI infrastructure in 2025
+- Four largest tech providers may invest $650 billion more in 2026
+- Sequoia Capital identified a $600 billion gap between AI infrastructure spending and AI earnings
+- 63% of surveyed organizations lack AI governance policies (IBM research)
+- Regulatory timelines measured in years while AI release cycles measured in weeks to hours