WarnBase Blog
April 8, 2026
Oracle Layoffs 2026: Location Breakdown of 1,700+ U.S. Jobs (May–June)
Recent WARN filings reveal that Oracle is cutting over 1,700 jobs across California, Missouri, and Washington, offering a detailed look at the U.S. impact of its broader global layoffs. The data highlights significant concentrations in Bay Area tech hubs and Kansas City, along with a growing presence of remote roles in workforce reductions. These filings provide a localized snapshot of how large-scale layoffs are unfolding across regions.
April 5, 2026
Amazon’s October 2025 Layoffs: A Geographic and Operational Breakdown of 14,000 Impacted Roles
Amazon’s October 2025 layoffs impacted roughly 14,000 employees nationwide, with most roles ending around January 28, 2026. Using WARN data from warnbase.fyi, this analysis highlights a highly uneven geographic distribution, with significant concentration in California and tech hubs, revealing a mix of logistics optimization and targeted corporate workforce reductions.
April 4, 2026
Amazon Layoffs 2026: A State-by-State Breakdown of 16,000 Job Cuts
Amazon’s January 2026 layoff announcement impacts roughly 16,000 employees across 7 U.S. states. Using WARN data from warnbase.fyi, this analysis breaks down where the cuts are happening, highlighting California as the hardest-hit state and revealing regional patterns in Amazon’s workforce reduction.
March 31, 2026
Oracle Lays Off Employees in May and June 2026
Oracle has filed WARN notices indicating planned layoffs affecting approximately 950 employees across Missouri and Washington in May and June 2026. This post summarizes the known details and highlights regions impacted so far, while noting that additional notices may still emerge.
March 3, 2026
Introducing WarnBase: Making Workforce Transparency Accessible
This post introduces WarnBase (warnbase.fyi), a new web application designed to centralize and simplify access to Worker Adjustment and Retraining Notification (WARN) notices. While layoff data is technically public, it is often buried across fragmented state databases and inconsistent formats. By leveraging data from Stanford University’s Big Local News project, WarnBase transforms these records into a streamlined, searchable interface. The platform provides job seekers, journalists, and researchers with a vital tool for navigating labor market shifts and workforce transparency in real-time.