Microsoft on 31 July published a global study ranking the 40 occupations most exposed to generative-AI automation and the 40 least affected. Using an “AI applicability” score derived from 200,000 anonymised interactions with its Bing Copilot chatbot, the company found that knowledge-intensive and language-based roles—such as translators, historians, customer-service representatives, writers and editors—face the greatest disruption. Manual and physically demanding jobs, including heavy-machinery operators, roofers and mass-transport workers, appeared far less vulnerable, underscoring a widening divide between white- and blue-collar work. Senior researcher Kiran Tomlinson cautioned that the framework measures overlap between AI capabilities and job tasks rather than forecasting complete replacement, but said the results highlight where work is most likely to be re-organised as conversational systems improve. Separately, new research from ServiceNow and Pearson projects that "agentic" AI—software able to act on decisions—will reshape about 10.35 million jobs in India by 2030 while creating roughly three million new technology roles over the next five years. Manufacturing, retail and education are expected to see the deepest changes, the study said, calling for accelerated reskilling. Indian states are beginning to respond. Uttar Pradesh announced plans to work with Microsoft, Intel and Google to train nearly one million people a month—teachers, farmers and youth—in AI, machine-learning and cybersecurity, signalling how governments hope to mitigate the disruption outlined in the two reports.