"In theory, AI should have transformed manufacturing by now. From predictive maintenance and fatigue detection to real-time quality control, the promise has always been smarter, faster, and safer operations. But in practice, the factory floor is still a place where AI ambitions often run into real-world limitations. That's a huge problem, especially because the size and weight of this industry are hard to ignore."
"U.S. manufacturing alone contributes $2.9 trillion to the economy, accounting for over 10% of total output and supporting nearly 13 million workers, according to the National Association of Manufacturers. Globally, manufacturing represents 16% of world GDP and a total market value well over $16 trillion, per a new report from Cargoson. Now, as AI advances even further and policymakers push for reindustrialization in the U.S.-aiming to restore domestic production capacity, regain supply chain control, and modernize strategic infrastructure-the spotlight is back on factories."
AI has potential to provide predictive maintenance, fatigue detection, and real-time quality control to make manufacturing smarter, faster, and safer. Factory floors often fail to realize that potential because AI ambitions encounter real-world limitations. Manufacturing is economically large: U.S. manufacturing contributes $2.9 trillion, over 10% of output, and supports nearly 13 million workers. Globally manufacturing represents 16% of world GDP and exceeds $16 trillion in market value. Policymakers promoting U.S. reindustrialization aim to restore domestic capacity, regain supply chain control, and modernize strategic infrastructure. Market forecasts project growth to $155 billion by 2030, but adoption bottlenecks threaten that expansion.
Read at Fast Company
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