Why manufacturers must bridge the gap between boardroom perspectives and frontline realities to successfully scale AI
By Shin Nakamura, President of one to ONE Holdings
Manufacturing has been one of the most willing industries to embrace AI, and the testament to that spans decades. What’s changed is the pace of adoption: Industry 4.0 is well underway, and demands on manufacturers have reached unprecedented heights. That backdrop explains the accelerated enthusiasm for more sophisticated, increasingly autonomous AI tools and systems, from China and Japan’s early moves into robotics and shop-floor automation to India, where 97% of manufacturers now call digital transformation “essential” to the industry’s future.
Yet there’s a massive gap between promising to adopt AI and actually scaling it on the factory line, and that chasm is growing. The usual explanation is a lack of workforce readiness or data gaps that keep AI from being safely integrated at scale. That diagnosis misses the real story. The gap isn’t because workers resist AI, but because leadership skips...
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