Blog & Research
Expert analysis on AI layoffs, industry risk trends, and career protection strategies.
Layoff Anxiety: How to Cope When You Are Afraid of Losing Your Job
With 89% of workers reporting layoff anxiety, this guide covers evidence-based strategies for managing job loss fear and channeling it into productive action.
AI Layoffs by Industry: Which Sectors Are Safest?
A data-driven ranking of industries by AI-related layoff risk, with safety scores and analysis of which sectors are cutting fastest and which are most resilient.
What to Do in the First 48 Hours After Being Laid Off
An urgent action checklist for the first 48 hours after a layoff — covering health insurance, severance review, unemployment filing, and critical first steps.
How to Layoff-Proof Your Career in 2026
Practical, actionable strategies to make yourself layoff-resistant — from building AI-adjacent skills to financial preparation and strategic networking.
The 25 Jobs Most at Risk from AI in 2026
A ranked list of the 25 jobs most vulnerable to AI automation, backed by research from Anthropic, the World Economic Forum, and McKinsey.
Oracle Layoffs 2026: 30,000 Jobs Cut in Massive Restructuring
Oracle eliminated 30,000 positions in March 2026 in the largest single tech layoff of the year. Here is what happened, who was affected, and why it matters.
Severance Package Guide: What You Are Owed & How to Negotiate
Everything you need to know about severance packages — what is standard, what is negotiable, and how to get the best deal based on your country and situation.
How to Survive a Layoff: The Complete Guide
A step-by-step survival guide for anyone who has been laid off, covering everything from the first 24 hours through re-employment.
Will AI Take My Job? A Data-Driven Risk Assessment
Beyond the fear and hype, here is what actual research from Anthropic, McKinsey, and the World Economic Forum says about AI replacing your specific job.
Tech Layoffs 2026: Complete Tracker & Analysis
A comprehensive tracker of every major tech layoff in 2026, with data on companies, headcounts, and the AI-driven trends behind the cuts.
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