Generative AI may soon be replacing a significant portion of routine responsibilities in white-collar jobs, according to research by educational publishing and services firm, Pearson. The research suggests that generative AI could potentially automate around 30% of the tasks typically carried out by certain white-collar roles.
However, the impact on blue-collar jobs is expected to be minimal, as these roles often involve physical labor or direct interaction with customers, making them less susceptible to automation.
In light of these changes, white-collar employees are being encouraged to focus on enhancing their skills through upskilling, particularly in areas that are not easily replicable by generative AI, such as creativity, communication, and leadership. In addition, workers are advised to learn how to use generative AI to become more efficient at repetitive tasks, allowing them to focus more on high-value activities.
Munira Loliwala, AVP of Strategy and Growth at TeamLease Digital, emphasizes the importance of focusing on competency mapping, including technical and functional competency, leadership competency, behavioral competency, organizational competency, and situational-based competency. By developing these competencies, job seekers can increase their likelihood of remaining relevant in the workforce as automation becomes more prevalent.
