Despite AI dominating layoff headlines, SignalFire data shows engineers are actually claiming a larger share of new hires, defying displacement fears.

A new Swiss study finds that junior-level job postings have declined significantly since 2023 as companies adopt AI tools, signaling a structural shift in entry-level hiring.

Facing AI-driven layoffs and fewer entry-level roles, Gen Z workers are increasingly turning to entrepreneurship to future-proof their careers.

Nearly 80,000 tech employees were laid off in the first quarter of 2026, with almost 50% of affected positions attributed to AI-driven automation.

New Wall Street research shows AI is measurably displacing roughly 16,000 net U.S. jobs per month, with effects modest but real and growing.

Driven by acute labor shortages, Japan is scaling physical AI deployments in factories and warehouses, aiming for 30% of the global physical AI market.

Leading economists, once skeptical of AI's labor market impact, now warn that significant workforce disruption is imminent as AI capabilities accelerate across industries.

OpenAI co-founder Andrej Karpathy published and then removed an AI-generated analysis of US labor market exposure to automation, revealing that professionals earning over $100,000 annually face the highest risk scores, while low-wage manual workers face the least.

Stanford's SIEPR summit reveals AI has already cut entry-level software developer hiring by 20% and call center jobs by 15%, with economists warning of widening inequality.

OpenAI CEO Sam Altman, speaking at BlackRock's Infrastructure Summit, acknowledged that AI is fundamentally shifting the power balance between labor and capital, predicting a 'painful adjustment' ahead for the global workforce.

Dario Amodei publishes 20,000-word essay warning AI will eliminate jobs across multiple industries faster than previous tech shifts.

Gallup survey of 22,000 U.S. workers shows 12% use AI daily at work, 25% use it frequently, with technology sector leading at 60% adoption rate amid concerns for vulnerable workers.

Morgan Stanley research shows UK experiencing 8% net job losses from AI, twice the international average, with significant impact on white-collar workers.

Global leaders at the World Economic Forum in Davos are raising alarms about AI's profound impact on the labor market, with the IMF describing it as a 'tsunami.' Discussions highlight nearly 55,000 US layoffs in 2025 attributed to AI and the urgent need for workforce upskilling.

New Stanford research reveals AI substantially reduces wage inequality while raising average wages by 21%, with simplification being the key driver of wage gains.