The Michigan Data Center Monitor is a live intelligence tracking system that systematically monitors Michigan's emerging AI infrastructure buildout. Using automated weekly searches across 19 sources—including Michigan Public Service Commission dockets, environmental permits, utility filings, news coverage, and government proceedings—this system aggregates signals into a comprehensive database that tracks project capacity, investment flows, regulatory developments, and community response.

Each finding is assigned an alert level based on confirmation strength: green for early signals, yellow for emerging patterns, orange for strong evidence, and red for confirmed projects with multiple corroborating sources. The dashboard currently tracks 27.6 gigawatts of data center pipeline capacity representing over $8 billion in announced investments, with the centerpiece being the $7 billion OpenAI/Oracle Stargate facility in Saline Township—Michigan's first hyperscale data center and the largest single investment in state history. This isn't passive news aggregation; it's proactive pattern detection that identified major developments in PSC regulatory proceedings before they reached mainstream coverage.

Built as App #27 in my 30 Apps in 30 Days challenge, the system demonstrates practical AI application: using Claude's search capabilities to create systematic intelligence gathering that would otherwise require a research team. Updated weekly with fresh findings, the monitor serves as both a public demonstration of methodical research infrastructure and a private strategic asset for understanding Michigan's position in the national data center expansion driven by AI computing demands.