Real-time tracker of AI-driven job displacement worldwide (ailayoffs.live)

A new study by Prof. Suraj Srinivasan highlights the escalating demand for AI skills while traditional, repetitive jobs are declining due to automation. An interactive graphic illustrates which specific roles are most vulnerable, revealing that customer service and data entry positions are facing significant impacts. Notably, a major CRM company claims its AI agent platform can now effectively manage 80% of tier-1 support tickets, leading to unprecedented reductions in its workforce. The European Commission is responding to these shifts with a proposed legislation that would impose taxes on companies proportional to the number of jobs automated, channeling funds into worker retraining programs. As AI adoption accelerates, predictions suggest workforce transformations could occur three times faster than previously anticipated, with Goldman’s latest research indicating a 40% increase in generative AI exposure in white-collar roles. Additionally, companies like Infosys and TCS have collectively slashed 45,000 jobs as AI tools and coding assistants reduce the need for entry-level developers, marking a significant trend in the ongoing evolution of work in the AI/ML landscape.