In-depth analysis and research on AI's impact on the global workforce. Our research team examines the data behind the headlines.
52,050 tech jobs were cut in Q1 2026, a 40% jump year-over-year. Data on which companies, roles, and industries are most affected by AI-driven layoffs, and whether AI deserves the blame.
Read AnalysisA detailed breakdown of which companies have explicitly cited AI in layoffs during 2026, organized by sector. Includes specific numbers, affected roles, and actionable career advice.
Read AnalysisCritical analysis of 2026 tech layoffs at Meta, Block, and Atlassian. Examining AI's actual role versus corporate narrative in workforce reductions.
Read AnalysisUnderstanding Anthropic's AI job exposure research and what it means for your career. Data-driven insights plus practical planning strategies for workers.
Read AnalysisData-driven analysis of actual AI-attributed job losses. Examining Challenger report data, industry breakdowns, and what really happens to displaced workers—context over headlines.
Read AnalysisA comprehensive survey synthesizing views from labor economists, AI researchers, industry executives, and policy makers across four distinct perspective categories on AI's workforce impact.
Read AnalysisOur analysis of 800+ occupations reveals the roles most vulnerable to automation in the near term, and the factors that determine displacement timelines.
Read AnalysisIdentifying the competencies and career paths that remain resilient to automation, backed by labor market data and industry projections.
Read AnalysisA sector-level examination of AI adoption across healthcare, tracking which roles face disruption and where new opportunities are emerging.
Read Analysis