Quality has always been a defining metric in manufacturing when it comes to industry trust, brand longevity, and customer loyalty. Manufacturers are already expected to abide by stringent regulations. But as economic complexity rises and experienced operators retire, maintaining consistent quality and keeping up with production demands is becoming harder. In fact, a 2025 report found that nearly one-third of manufacturing leaders listed quality, yield, and throughput as their top production challenges—arguably the most important aspects in the business.

As pressure mounts to deliver more with less time and resources, many manufacturers are increasing industrial AI applications to mitigate the risks from production roadblocks. Some are even taking predictive maintenance a step further with generative AI; 36% of leaders are thinking about using this technology to help with quality control and defect detection.

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