By 2032, general AI will save 46% of the time needed for accounting procedures

 By 2032, general AI will save 46% of the time needed for accounting procedures

According to Pearson's Skills Outlook research, generative AI may readily replace repetitive duties seen in many administrative professions, such as making appointments and taking and directing phone calls.

According to the paper, generative AI might potentially complete up to thirty percent of the work week responsibilities associated with certain white-collar jobs in India.

Pearson's Skills Outlook research monitoring 'Gen AI proof occupations' predicts that by 2032, India's bookkeeping clerk workforce would spend 46% less time on accounting duties due to the automation of generative artificial intelligence (Gen AI).

The paper posits that the difference in impact between positions classified as white-collar and blue-collar may be attributed to the kind of work performed by each function. Repetitive duties in many administrative professions, such as making appointments or taking and directing calls, are readily copied by generative AI.

According to the paper, generative AI might potentially complete up to thirty percent of the work week responsibilities associated with certain white-collar jobs in India. In contrast, generative AI can complete less than 1% of a blue-collar worker's workload in a given workweek.

The research shows a remarkable 29 percent difference in the job-level effect between white-collar and blue-collar professions that are most impacted in India, making this trend more noteworthy there. The least impacted white-collar positions, on the other hand, spent at least 10% of their time on affected activities, according to the research, whilst the five least affected blue-collar professions had no work affected.

The positions that were most impacted in India were those of word processors and similar operators (which automate 40% of work), administrative secretaries and related support workers (38%), salesmen for stalls and markets (30%), and accountants (28%). percentage).

Weavers, weavers and related workers (17%), basket weavers, brush makers and related workers (17%), knitting along with weaving machine operators (16%), waiters as well as bartenders (15%), bakers, pastry cooks, and confectionery manufacturers (15%) are the blue-collar jobs most affected.

"Whether that's using technology to handle repetitive tasks, so that Others can focus on higher-value activities, or boosting specific human skills like imaginative thinking, interpersonal skills, and leadership, workers and employers ought to consider at how they can ride this wave of change together," stated Pearson Workforce Skills President Mike Howells.

When it comes to the amount of time spent on duties that can be automated or enhanced by general AI, owners, directors, and executives working in the transportation and communications industry (10%) and managers of sales and marketing are the least impacted positions in India (10%). There are also attorneys. Ten percent)

For this Skills Outlook study report, Pearson analyzed certain activities associated with over 5,000 professions and the amount of time spent on each using methods based on generative AI.