The Future of Work paradigm is being redefined by technologies complementing talent acquisition and workforce strategies. Undoubtedly, artificial intelligence (AI) is the driving technology most enterprises are trying to harness. While AI and its subsets, such as machine learning (ML) and natural language processing (NLP), are utilized across industry sectors, what does this mean for the current and future workforce? Undoubtedly, the automation derived from AI has created employee apprehension, when, in fact, there lies an opportunity to leverage the technology for strengthening workforce skillsets through upskilling. Most experts agree that automation will transform some jobs, leading to a greater focus on upskilling as workers strive to remain relevant and competitive in their career fields.
Upskilling is akin to learning new skills to better perform your job — not to be confused with reskilling, which is investing in skills for a different job. This leads to a key question: How critical is upskilling? According to the World Economic Forum, the U.S. could add $800 billion to its GDP by 2030 through upskilling efforts alone. Artificial intelligence can help execute upskilling initiatives and deliver on those economic estimates.
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