According to a new report, cashiers, post office clerks, and bank tellers are among the most at risk, while frontline workers in delivery and construction will see their sectors grow.
Companies across the globe, at least four in 10, are likely to cut jobs as artificial intelligence (AI) continues to advance, new research shows. A survey in the World Economic Forum’s (WEF) latest “Future of Jobs Report,
Artificial intelligence is here to stay, and while some have embraced the technology, others are understandably worried about its swift evolution and how it can potentially impact our livelihood. Well now,
The Future of Jobs (FOJ) Report 2025 from the World Economic Forum (WEF) reveals that 41% of companies worldwide plan to reduce their workforce by 2030, primarily due to AI automation.
The global job market is poised for a significant transformation by 2030, with numerous jobs facing disruption, according to the World Economic Forum.
The report examines the macro trends that will affect jobs, skills, and workforce transformation between 2025 and 2030.
The rise of artificial intelligence is anticipated to eliminate 200,000 jobs at Wall Street banks in the coming years, particularly in back office positions.
The report also highlighted that around 70% of companies are planning to hire new workers with skills to design AI tools and enhancements.
According to a survey from the World Economic Forum, a 41% of employers will cut their staff levels in favor of Ai automation by 2030. Nearly 80% of large companies world-wide also say they will resell and up-skill workers to work alongside with Ai over the next 5 years.
World Economic Forum', in 2025 reports, predicts significant changes in the global labor market, with 170 million new jobs created and 92 million roles displaced.
Experts predict that 2025 will be the year artificial intelligence (AI) truly gets off the ground in K-12 schools. 2024 laid the groundwork for AI to reach a level of “maturity”
The WEF report predicts AI will create 170M jobs but eliminate 92M, emphasizing the need for skills retraining to adapt.