AI can do 46 percent backend works, which risks jobs takeover in India : Survey
Data-driven occupations, including specific research areas or basic financial analysis, are more likely to be automated because AI can process and analyze data far more quickly than humans can.
AI can do 46 percent backend works, which risks jobs takeover in India, revealed by Pearson’s study analysis.
As generative AI becomes more and more integrated into the global economy, worries about its ability to replace human employment have increased. Although AI clearly increases productivity and simplifies tasks, it also upends established employment patterns, raising concerns about the nature of work in the future.
Data-driven jobs, including specific research areas or basic financial analysis, are more likely to be automated because AI can process and analyze data far more quickly than humans can.
As generative AI gets increasingly ingrained in the global economy, a recent study by Pearson, a British multinational publishing and education corporation, indicates that white-collar jobs are more vulnerable to it than blue-collar jobs. With an emphasis on “Gen AI Proof Jobs,” Pearson’s analysis examined the effects of generative AI on over 5,000 jobs across Australia, Brazil, India, the UK, and the US.
Because white-collar employment do different kinds of tasks than blue-collar professions, the study concludes that white-collar jobs are more vulnerable to generative AI. Administrative and other white-collar occupations frequently require repetitive work that AI can automate.
For example, in certain white-collar jobs in India, over thirty percent of the work might be automated, yet fewer than one percent of manual labor and physical labour-intensive blue-collar jobs could be mechanized.
Actually, data show that not a single task in the five blue-collar jobs that are least affected by automation is in danger of being mechanized. About 10% of the work in even the least impacted white-collar jobs, however, might be automated.
For clarity, the following is a list of jobs and the fraction of the jobs that supposedly entail automated tasks, making them vulnerable to AI replacement.
1. Bookkeepers and accounting clerks: 46%
2. Operators Related to Word Processors: 40%
3. 38 percent of administrative secretaries and associated associate professionals
4. Market and Stall Salespeople: 30%
5. Accountants: 28%
In the meantime, the following is a list of Indian blue-collar jobs that could be replaced by AI:
1. Workers in the Weaving, Knitting, and Related Industries: 17%
2. Workers in the Basketry, Brush, and Related Industries: 17%
3. Operators of Knitting and Weaving Machines: 16%
4. 15% of workers are waiters and bartenders.
5. Pastry chefs, Bakers, and Confectionery Makers: 15%
In the meantime, Pearson Workforce Skills President Mike Howells highlights the necessity of a team-based strategy that makes use of both human and technological capabilities. In order to free up time for work requiring uniquely human abilities like creativity, communication, and leadership, he exhorts professionals to embrace AI. He claims that this deliberate incorporation of technology will raise the value of human expertise in addition to improving productivity.
“Workers and employers should look at how they can ride this wave of change by using the best of AI and the best of human skills together,” stated Howells.
Watch – PM HRTV
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