PRESS RELEASES

  • Generative AI to replace 46% of time spent on accounting tasks in India; impact of AI on white vs blue-collar jobs

    In India, the job roles most affected are accounting and bookkeeping (46%), followed by word processors and related operators (40%).

    Pearson's latest 'Skills Outlook' series delved into the impact of generative AI on over 5,000 jobs across five countries: Australia, Brazil, India, the US, and the UK.

    Around 30% or more of the time dedicated to tasks within certain white-collar professions, such as accountants, bookkeeping clerks, word processor operators, administrative secretaries, and stall/market salespersons, could potentially be handled by generative AI.

    In contrast, less than 1% of the typical workload for blue-collar workers, including weavers, knitters, waiters, bakers/cooks, among others, might be feasibly taken over by generative AI during a workweek, according to a report by the learning company Pearson.

    Numerous administrative roles involve repetitive tasks—like scheduling appointments or managing calls—that are easily replicable by generative AI. This pattern is particularly noticeable in India, where the report underscores a significant 29% difference in the impact of tasks between the most affected white-collar and blue-collar jobs.

    In India, the job roles most affected are accounting and bookkeeping (46%), followed by word processors and related operators (40%).

    Mike Howells, President of Pearson Workforce Skills, highlighted, "As employees look to the future, understanding which jobs are at risk from AI allows them to prepare. They should also consider where new roles might be created by Gen AI. 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."

    The least affected jobs in India encompass working proprietors, directors, executives in transport and communication, and sales and marketing managers. Pearson's latest 'Skills Outlook' series delved into the impact of generative AI on over 5,000 jobs across five countries: Australia, Brazil, India, the US, and the UK.

    About Pearson

    At Pearson, our purpose is simple: to add life to a lifetime of learning. We believe that every learning opportunity is a chance for a personal breakthrough. That’s why our c.20,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do. It’s who we are.

    Visit us at pearsonplc.com

    For more information, please contact: Bhavya Suri, PR & Corporate Affairs, Pearson India & MENA- bhavya.suri@pearson.com

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  • Generative AI a bigger threat to select white-collar jobs

    In India, Gen AI could be deployed to handle around 30% or more of the time spent on tasks involved in the working week of some white-collar roles. In comparison, in many cases, less than 1% of a blue-collar worker's job in a working week could be done by GenAI, the report says.


    Generative AI is poised to have a more profound impact on certain white-collar jobs than blue-collar ones in the next ten years, showed new workplace research from learning company Pearson.

    Blue collar roles - especially those requiring more creative, manual, and collaborative tasks – are likely to face less disruptions from the accelerated adoption of Gen AI aimed at driving productivity.

    The third edition of the Pearson Skills Outlook series: ‘Gen AI-proof jobs’ – shared exclusively with ET -- analyses the impact of Gen AI on more than 5,000 jobs in five countries – India, Australia, Brazil, the US, and the UK.

    In India, Gen AI could be deployed to handle around 30% or more of the time spent on tasks involved in the working week of some white-collar roles. In comparison, in many cases, less than 1% of a blue-collar worker’s job in a working week could be done by GenAI, the report sayssays.

    There is a difference of 29% between the task-level impact of the most impacted white- and blue-collar jobs in India. The five blue-collar jobs least impacted by Gen AI have no impacted tasks, while the least impacted white-collar jobs all have around 10% or more of their jobs impacted at a task level.

    The variation in impact between white-collar and blue-collar roles can be related to the nature of tasks performed by each role, the report suggests. Many administrative roles contain repetitive tasks – such as scheduling appointments or answering and directing calls - that can be easily replicated by Gen AI.

    In India, the most impacted white-collar jobs are (by % of time spent on tasks that can be automated or augmented by Gen AI): accounting and bookkeeping clerks (46%); word processor and related operators (40%); administrative secretaries and related associate professionals (38%); stall and market salespersons (30%) and accountants (28%).

    The most impacted blue-collar jobs in India are weavers, knitters and related workers (17%); basketry weavers, brush makers and related workers (17%); weaving and knitting machine operators (16%), waiters and bartenders (15%) and bakers, pastry cooks and confectionery makers (15%).

    “As employees look to the future, understanding which jobs are at risk from AI allows them to prepare. They should also consider where new roles might be created by GenAI,” said Mike Howells, president, Pearson Workforce Skills. “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 – whether that is using the technology to take over repetitive tasks, so people can focus on high-value activities, or enhancing those uniquely human skills like creativity, communication and leadership.”

    For this Skills Outlook research report, Pearson used tools based on Gen AI to analyse the specific tasks related to more than 5,000 jobs and how much time is being spent on each task currently.


    Calculations were done on how much of a job’s work, by time spent on individual tasks, would be affected by Gen AI. This gives the percentage of time saved due to Gen AI by 2032, per task – and, consequently, to ascertain which jobs will be most or least impacted.

    About Pearson

    At Pearson, our purpose is simple: to add life to a lifetime of learning. We believe that every learning opportunity is a chance for a personal breakthrough. That’s why our c.20,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do. It’s who we are.

    Visit us at pearsonplc.com

    For more information, please contact: Bhavya Suri, PR & Corporate Affairs, Pearson India & MENA- bhavya.suri@pearson.com

    Read More / The Economic Times

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