Wednesday, October 07, 2026
Don’t let the AI hype be overwhelming
www.thefabricator.com: The good news is that small and medium-sized metal fabricating companies don’t have exact timetables to deploy these AI technologies. The goal should be continuous improvement, just as it has been for years, and AI is another tool that can make that happen.
A shop can focus on an area where any type of improvement makes sense. Start small and see how the exercise goes.
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Even though this article encourages the use of AI in manufacturing shops, it still highlights some major shortcomings of AI that should be discussed more in the larger debate of AI itself. I do not believe that there is a practical purpose for generative AI, but the type of AI described in this article is analytical AI, which pulls from documents to calculate data faster. Specifically, this article handles the critique of the “jump on the AI train NOW!” argument, because it acknowledges that analytical AI is never perfect on the first try. AI hallucinates and needs to be run in a test environment before it can be fully implemented into a real-life scenario, and this process takes a considerably large amount of time. While AI can eventually make the process of analyzing data faster, it takes time to actually create accurate data worth having. This is why AI is known for extreme error in the real world, because people see it as this “miracle tool” and bring it into real world situations where it will continuously make mistakes and never fix itself. AI is not as fast as people market it as, and this aspect of AI is never talked about enough when discussing the ramifications of AI usage as a whole. There really is no quick shortcut to the correct answer, even with a tool that is designed to be the quick shortcut.
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