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With sluggish productivity growth around 1.4% despite watershed advancements in technology and innovation, increasing growth\u2014and median household incomes\u2014may hinge on a simple equation. \u201cI have my number of workers and my output per worker,\u201d explained Kweilin Ellingrud, a director of the McKinsey<\/a> Global Institute. \u201cEither change the number of workers, which is hard due to aging, or I invest in technology and AI, and change the equation of my output per worker.\u201d<\/p>\n More tech, wisely implemented, might be the only solution to regaining a higher productivity growth rate, said Ellingrud, who spoke during a panel on McKinsey\u2019s Media Day in New York on Thursday. Accordingly, it\u2019s long past time to take AI seriously, regardless of industry, she said.<\/p>\n Brooke Weddle, a senior McKinsey partner who spoke alongside Ellingrud, said the productivity question begins and ends with what she calls \u201corganizational health.\u201d To her, that describes a company\u2019s ability to \u201calign around a strategy, translate that into the work environment, execute against it, and renew itself over time through innovation and increased customer focus.\u201d<\/p>\n Per McKinsey\u2019s newest research report<\/a> on the state of AI, also released Thursday, the connection between organizational health and performance is \u201cas strong as ever,\u201d Weddle said. \u201cIn realizing productivity gains, running the place more effectively from the top will matter.\u201d<\/p>\n That means jobs will have to evolve. Between now and 2030, the U.S. business landscape\u00a0 will see extensive disruption to the tune of \u201cabout 12 million\u201d occupational transitions, Ellingrud said. Some of that will be good news: More jobs in a handful of industries, including healthcare, construction, and education.\u00a0<\/p>\n But a large part of that disruption will be \u201cdramatically shrinking jobs,\u201d she predicted. Some 85% of operational transitions McKinsey has seen fall into four categories, Ellingrud explained: Administrative assistance, customer service or sales, food service, and production and manufacturing.\u00a0<\/p>\n \u201cThose four jobs will\u2026be going away, and driving transitions,\u201d Ellingrud said. \u201cWe talk about generative AI because it changes the nature of the work we do\u2014it will affect about 30% of our activities, but it won\u2019t eliminate our jobs. But for those four categories, it will.\u201d<\/p>\n The writing has been on the wall for some time now. A good handful of white-collar jobs will soon \u201cdwindle hugely,\u201d Joseph Fuller, a Harvard Business School professor and co-leader of its Managing the Future of Work initiative, told Fortune<\/em><\/a> <\/em>last summer. \u201cI wouldn\u2019t want to be someone who does the reading or summarization of business books to send out 20-page summaries, because AI is really good at summarization already.\u201d<\/p>\n Nigel Vaz, the CEO of Publicis Sapient, a consultancy focused on digital transformation, recently told Fortune<\/em><\/a> he believes there will be \u201cno job that does not incorporate some form of AI in a very meaningful way, not even in the next five years, in the next year or two\u2014I mean that.\u201d Whether you\u2019re a janitor, security guard, or designer, you\u2019re not immune: \u201cIn every one of those areas, AI will be incorporated, even if you don\u2019t know it,\u201d Vaz said.\u00a0<\/p>\n\n