Post by asadul4986 on Feb 20, 2024 0:11:51 GMT -6
In an opinion column originally published by The Wall Street Journal, Ray A. Smith addresses a nascent but concerning topic: the impact of artificial intelligence (AI) on white-collar jobs (salaried professionals performing semi-professional or professional-level tasks). in a office). Smith notes that “decades after automation began taking and transforming manufacturing jobs, artificial intelligence is coming for the top brass in the corporate office.” This premise is the core of his analysis, which delves into how various industries, from technology to chemistry, could be irrevocably affected by advances in AI. The accelerated evolution of technology, especially generative AI, is redefining roles that were once considered safe in the corporate sphere.
Generative AI doesn't just speed up routine tasks or make predictions by recognizing patterns in data. It has the power to create content and synthesize ideas: essentially, the kind of knowledge work that millions of people now do behind computers,” explains Smith. This is a crucial distinction that, according to experts cited in the WSJ article, could result in many Costa Rica Mobile Number List management roles disappearing forever. The figures on AI-related layoffs are revealing. Since last May, companies have attributed more than 4,600 layoffs to AI, especially in the media and technology sectors, according to Smith, citing the firm Challenger, Gray & Christmas. The narrative is echoed at high-profile companies like Google, Duolingo and UPS, where job cuts have been linked to the adoption of new productivity-boosting technologies. However, the author also details how AI could not necessarily mean the end of certain jobs, but rather a transformation of them.
He cites the example of Chemours, a division of DuPont, where nearly 1,000 office and laboratory workers have been trained in AI applications over the past three years. “The finance team is now able to spend their time on other business-critical projects rather than constantly running queries through the system,” said Matt Abbott, chief business transformation officer at Chemours, illustrating how AI can also be an instrument for evolution and work efficiency. A critical aspect that Smith highlights is the potential collapse of mid-level management. As generative AI takes on more tasks, the management hierarchy could be radically reconfigured, a study from the Oliver Wyman Forum suggests. This could lead to entry-level work becoming more like first-level management roles, effectively flattening the layers of middle management. While more than half of senior managers surveyed in the study said their jobs could be automated by generative AI, business leaders still see a silver lining. They see new technology as a way to augment and elevate some white-collar roles, allowing employees and managers to do more meaningful work both for their companies and in their careers.
Generative AI doesn't just speed up routine tasks or make predictions by recognizing patterns in data. It has the power to create content and synthesize ideas: essentially, the kind of knowledge work that millions of people now do behind computers,” explains Smith. This is a crucial distinction that, according to experts cited in the WSJ article, could result in many Costa Rica Mobile Number List management roles disappearing forever. The figures on AI-related layoffs are revealing. Since last May, companies have attributed more than 4,600 layoffs to AI, especially in the media and technology sectors, according to Smith, citing the firm Challenger, Gray & Christmas. The narrative is echoed at high-profile companies like Google, Duolingo and UPS, where job cuts have been linked to the adoption of new productivity-boosting technologies. However, the author also details how AI could not necessarily mean the end of certain jobs, but rather a transformation of them.
He cites the example of Chemours, a division of DuPont, where nearly 1,000 office and laboratory workers have been trained in AI applications over the past three years. “The finance team is now able to spend their time on other business-critical projects rather than constantly running queries through the system,” said Matt Abbott, chief business transformation officer at Chemours, illustrating how AI can also be an instrument for evolution and work efficiency. A critical aspect that Smith highlights is the potential collapse of mid-level management. As generative AI takes on more tasks, the management hierarchy could be radically reconfigured, a study from the Oliver Wyman Forum suggests. This could lead to entry-level work becoming more like first-level management roles, effectively flattening the layers of middle management. While more than half of senior managers surveyed in the study said their jobs could be automated by generative AI, business leaders still see a silver lining. They see new technology as a way to augment and elevate some white-collar roles, allowing employees and managers to do more meaningful work both for their companies and in their careers.