AI's Value Lies in Closing Loops, Not Just Faster Design
AnneliesGamble · x · 2026-07-19
Using an "electricity era" analogy, the post explains that factories initially gained little by just bolting electric motors onto steam-era layouts; real returns came from redesigning the entire workflow around the new power source. The author argues AI is in a similar phase. Today, AI most easily accelerates upstream, design-adjacent tasks—like reading CAD, generating process parameters, cost estimation, toolpaths, and spotting manufacturability issues.
However, the true value isn't just "faster design" but the ability to close the loop between design, production, and feedback. In manufacturing, physical production cycles don't vanish just because design is faster; in life sciences, the bottleneck isn't designing molecules faster, but predicting if they actually work in humans. The author stresses that AI's value will only truly materialize when design, simulation, and physical verification are integrated, making the factory or R&D system genuinely "AI-native".
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