Anthropic’s CEO warns that AI could wipe out half of entry-level white-collar jobs within five years, threatening the very start of many careers.

The AI revolution might be repeating the 1995 IT boom’s hidden cost: displaced workers trapped in low-value jobs, fueling inequality and social unrest.

Revisiting the 1995-2005 IT boom reveals unsettling parallels that warn AI’s productivity surge might deepen inequality unless guided by smart policies.

India’s booming AI job market flips the script, showing that AI isn’t just replacing jobs—it’s creating a hiring surge focused on new, practical skills.

The IMF warns that 60% of US jobs face AI-driven transformation, with white-collar roles unexpectedly in the crosshairs.

The UN reveals AI isn’t a universal boon—it’s deepening economic divides by disproportionately displacing jobs in developing countries.

Financial Times reveals how AI is not just reshaping jobs but slicing the workforce into distinct winners and losers in a rapidly bifurcating economy.

The World Economic Forum predicts AI will create 78 million net new jobs by 2030, reshaping work through augmentation and demanding continuous human upskilling.

A fiery public feud between Musk and Trump sends Tesla shares tumbling, exposing the fragile human element behind AI-driven markets.

The Trump administration’s sweeping federal layoffs may be less about budgets and more about paving the way for AI to redefine public service.