John Yolton’s Post

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Principal at FOG Group

"The US productivity rate jumped in the fourth quarter of 2023, creating a little buzz about whether AI, and specifically generative AI (gen AI), is showing up in the output numbers. Then, the rate slowed sharply in the first quarter of 2024, suggesting that it might be too soon to see dramatic productivity gains from AI and gen AI. "While there isn’t a clear trend yet, it’s likely that a mix of technology—from old-fashioned analysis of high-quality data to machine learning and other large language models—is positive for productivity. Tech can help workers achieve better results in the same or less amount of time, and, yes, gen AI has been powering automation gains for some time. "That’s one part of a more robust productivity scenario. The other is that companies are figuring out the postpandemic hybrid model that works best for them. It’s typically a flexible model whereby people can be in the office working with colleagues in person some of the time and be remote other times. When done correctly, this model typically results in higher productivity than would a mandate that forces employees to always be on-site or never on-site, McKinsey research shows." #productivity

Re:think: Work is going to get harder. But it will also be more fun.

Re:think: Work is going to get harder. But it will also be more fun.

mckinsey.com

Christopher Barry

Naval architect, ocean engineer, mechanical engineer "Have GHS, will travel"

2w

The possibilities of even very simple applications of computers to productivity (mainly by enhancing human productivity) are gradually being implemented. In many cases they require extensive changes in the entire production process, and those come slowly. The key is to figure out what humans do well and what computerized processes do well and combine them, not make computers into poor human performers.

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