Iron Mountain Research Links IT Asset Recovery to AI Funding

Iron Mountain released a new report, The Information Supercycle: Aligning Data, Infrastructure and Capital for AI Scale, which examines how comprehensive asset lifecycle management can help organizations recover value from decommissioned technology. The research found that 17% of organizations are already using reclaimed IT spending to fund AI, compared to 27% using new capital allocation. Erica Hirsch, Senior Vice President at Iron Mountain, commented on the findings.

The report suggests that treating IT asset disposition as a formal budget recovery program allows businesses to reclaim 10–30% of initial hardware costs. This mechanism could create a self-funding method for AI innovation by redirecting recovered capital toward next-generation infrastructure.