McKinsey partner says up to 50% of work hours could be transformed within the next 5 years | Fortune

AI tools have moved into everyday workplace use, making proficiency increasingly necessary for employees. AI fluency is defined as the ability to leverage AI-enabled tools in professional tasks. Research indicates that advanced technology could transform 30% to 50% of work hours and activities within three to five years. Automation potential is already substantial, with current technology theoretically automating 57% of U.S. work hours, while AI agents automate 44% and robots cover 13%. Every job is expected to require skill changes by 2030. Human skills remain relevant, with about 70% of current workforce skills applicable to both automatable and non-automatable tasks. AI fluency also includes knowing when to use AI tools effectively.

"“We have a ton of research that suggests anything from 30% to 50% of a person's work hours and work activities could transform and change in the coming three to five years,” Madgavkar recently said during the “What Do We Mean By 'AI Fluency?'” panel hosted by McKinsey at Fortune's Workplace Innovation Summit."

"“AI fluency has become a hot topic among employers, as described by a McKinsey partner as workers' ability to leverage tools in their professional tasks. And the management consulting firm has found that the efficiencies are already here; today's technology can theoretically automate activities that account for about 57% of U.S. work hours, according to a 2025 McKinsey report.”"

"“AI agents can currently automate tasks that account for 44% of Americans' work hours, and robots can even take on 13% of the time employees clock in. And no career is immune to a revamp: McKinsey found that every job will require skill changes by 2030.”"

"“It's not about any specific software package tool capability-It's a new way of working.” However, that doesn't mean workers are headed for irrelevance. McKinsey's 2025 research also found that it won't push human skills out of the picture, predicting that about 70% of current workforce skills can be applied to both automatable and non-automatable tasks."

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