generative AI

Is Generative AI A Catalyst For Job Growth Or Automation Threat?

generative AI

While there are concerns about generative AI’s ability to disrupt the workforce, Tech Mahindra’s outgoing CEO, CP Gurnani, believes that it has the potential to create more job possibilities than it is expected to eliminate. Despite significant anxiety on social media about the influence of AI on the labor market, Gurnani stressed that the full spectrum of generative AI use cases is still growing, implying a lot of untapped potential for employment creation.

“The use cases of generative AI are still being defined, which means that it has the potential to create more job opportunities in the future,” Gurnani went on to say. He praised AI models such as OpenAI’s ChatGPT and Google’s Bard for their capacity to generate human-quality writing, poetry, and even sophisticated code.

Related link: Malaysia Supports Gen AI Despite Worries About A Skills Gap

Unlike other industry experts who expect huge job losses due to technology, Gurnani, one of India’s longest-serving CEOs, believes talented individuals would remain irreplaceable. “New jobs will be created as well.” “The market will grow,” he continued.

This upbeat attitude is shared by other important voices, like NR Narayana Murthy, Co-Founder of Infosys, who rejected concerns about coders being replaced by generative AI tools. So far, the evidence supports Gurnani’s position. According to The Business Times, a recent research by the European Central Bank and the International Labour Organization revealed no major employment losses directly linked to generative AI automation.

Recognizing the need for workforce adaptation, Gurnani encouraged young engineers to embrace lifelong learning and self-development. He proposed a shift from the traditional methodology of companies like Infosys, which is known for its huge training center in Mysuru, Karnataka. This shift could herald a larger shift in the operating model of Indian IT organizations, away from campus recruitment and centralized training and toward a more nimble and skill-oriented approach.

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