July 13, 2024, 5:37 a.m.
2210

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Brief news summary

Growing concerns about job displacement due to AI are common among employees, including senior-level workers. Many fear that their lack of AI skills puts them at a disadvantage. However, companies understand the importance of experienced employees and want to retain their expertise. Contrary to popular belief, older workers can effectively use AI to gain insights, make judgments, and evaluate outcomes. While the impact of job automation remains uncertain, there is an increasing demand for soft skills alongside technological advancements. To bridge the gap between senior management and AI-proficient younger employees, reverse mentoring can be implemented. This approach involves senior leaders seeking guidance from their junior counterparts. Many employees without AI skills are open to incorporating it into their work to enhance their performance. Certain organizations are already developing structured training programs to equip their workforce with AI skills. Generative AI has the potential to automate a significant amount of work, affecting professionals at all business levels, including executives and managers. Dismissing employees solely based on their lack of AI skills, without considering their institutional knowledge and interpersonal abilities, could have unintended consequences. Instead of assuming that older workers will struggle to adapt, it is crucial to recognize the value of AI and provide support to senior employees as they transition into future job roles.

Concerns about artificial intelligence (AI) displacing jobs have primarily come from junior workers who believe that AI benefits those with more task-based responsibilities rather than higher-level workers. However, a recent report shows that 30% of senior-level employees fear being fired for lacking AI skills. Steve Preston, the president and CEO of Goodwill Industries International, believes that if there is a significant skills gap, some retirees may choose to retire or find different work. But for those in senior positions who have valuable institutional and customer knowledge, companies want to retain them and help them become more productive. Contrary to the stereotype that older workers struggle with adapting to new technology, Preston recognizes that AI can provide unique advantages for them. Older workers with a deeper understanding of the business can effectively leverage AI to gain insights and apply judgment to the results.

Jeetu Patel, an executive at Cisco, states that AI is currently replacing tasks rather than whole jobs, and predicts that the next few years will focus more on augmentation rather than displacement for senior-level workers who enhance their skills in an AI-driven workplace. As technology advances, experts predict a surge in demand for soft skills. Nikhil Arora, CEO of Epignosis (parent company of TalentLMS), emphasizes the importance of touching and motivating employees in a human way. Arora suggests that senior management should consider reverse mentoring, where they seek the perspective of less experienced employees who are more familiar with AI. This approach, coupled with structured training journeys, can help organizations innovate faster. Generative AI has the potential to automate nearly a third of hours worked in the U. S. , but offloading the wrong people could lead to unintended consequences such as losing valuable institutional knowledge. Preston suggests embracing the value of AI to leverage future jobs for older workers instead of assuming they will be left behind.


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