by cnbc -- Lori Ioannou -- IBM's Chair, CEO and President Ginni Rometty has a powerful message for workers and employers in all strata of society: The Fourth Industrial Revolution is underway and it is shaping up to be one of the most significant challenges and opportunities of our lifetime. We are already seeing jobs, policies, industries and entire economies shifting as our digital and physical worlds merge. According to the World Economic Forum, the value of digital transformations in the Fourth Industrial Revolution is estimated at $100 trillion in the next 10 years alone, across all sectors, industries and geographies. "As a result, we face an imminent and profound transformation of the workforce over the next five to 10 years as analytics and artificial intelligence change job roles at companies in all industries," Rometty said while giving a keynote address at the CNBC's At Work Talent & HR: Building the Workforce of the Future Conference in New York on Tuesday, April 2. In February, the executive was appointed to Trump's American Workforce Policy Advisory Board along with 24 other leaders.

While only a minority of jobs will disappear, the majority of roles that remain will require people to work with the aid of analytics and some form of AI and this will require skills training on a large scale, Rometty said. "I expect AI to change 100 percent of jobs within the next five to 10 years," the IBM CEO said. Rometty's call to action comes at a time when the AI skills gap and the future of work exhibit a growing sense of urgency. The technology sector accounts for 10 percent of U.S. GDP and is the fastest part of the American economy but there are not enough skilled workers to fill the 500,000 open high-tech jobs in the U.S., according to the Consumer Technology Association's Future of Work survey. Yet the tech industry is concerned that school systems and universities have not moved fast enough to adjust their curriculum to delve more into data science and machine learning. As a result, companies will struggle to fill jobs in software development, data analytics and engineering. "To get ready for this paradigm shift companies have to focus on three things: retraining, hiring workers that don't necessarily have a four-year college degree and rethinking how their pool of recruits may fit new job roles," Rometty said.

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