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Top 5 AI-Proof Jobs

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Unquestionably, generative artificial intelligence (AI) has revolutionised the contemporary workplace.

The increasing adoption of AI technologies by organisations to enhance productivity and efficiency has generated numerous discussions about the potential implications for workers. 

Over the next ten years, generative AI is expected to have a bigger influence on white collar jobs than blue collar jobs, according to new research from Pearson. Given the creative, manual, and collaborative nature of their work, blue collar jobs were often less vulnerable to the changes that the emergence of this technology would bring about.

However, generative AI can readily perform repetitive activities found in many white collar occupations, such making appointments and taking and directing calls. Within the United States alone, generative AI has the potential to complete jobs that take certain white-collar workers thirty-five percent of their working week.

Related link: AI Future: Are Companies Ready?

To gain a deeper comprehension, the research examined the diverse effects of artificial intelligence on various occupations.

It’s interesting to note that white collar jobs like engineers that require math-related duties are probably the ones most affected by this market.

Most impacted white collar jobs

  • Medical secretaries (40%)

  • Statement clerks (38%)

  • Billing, cost, and rate clerks (38%)

  • Loan interviewers and clerks (38%)

  • Bookkeeping, accounting, and auditing clerks (38%)

Least impacted white collar jobs

  • Chief executives (10%)

  • Civil engineers (10%)

  • Electrical engineers (11%)

  • Sales managers (13%)

  • Architectural and engineering managers (13%)

On the other hand, generative AI struggles to replace the manual labour and customer service components of many blue collar jobs, such those of mechanics and construction workers. In fact, the study discovered that generative AI could complete activities that take a blue collar worker less than 1% of their workweek to complete.

Most impacted blue collar jobs

  • Farm products buyer (27%)

  • Amusement and recreation attendants (26%)

  • Restaurant, lounge, and coffee shop hosts (24%)

  • Food service managers (22%)

  • Computer-controlled machine tool operators, metal and plastic (21%)

Least impacted blue collar jobs

  • Bus and truck mechanics and diesel engine specialists (0%)

  • Dishwashers (0%)

  • Highway maintenance workers (0%)

  • Laundry and dry-cleaning workers (0%)

  • Solderers and brazers (0%)

The study indicates that companies and workers in white-collar industries must adjust more quickly than those in blue-collar jobs, but how can they achieve this?

Considering how to reskill and upskill as well as how employment can change is one such method. White collar workers should consider evolving and upskilling in order to improve soft skills like creativity, leadership, and communication, which are difficult for generative AI to imitate.

Employees should also learn how to use generative AI to boost their productivity on repetitive jobs in addition to these initiatives. Because they will be spending more time on high-value tasks, productivity will increase as a result.

Employers and workers alike ought to consider how they may combine the greatest aspects of human and artificial intelligence.

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