This week, AI agents are making big changes in manufacturing. Companies are using agentic AI to solve problems faster and make better products. For example, a company called Data Electronics used AI to speed up inspections from two days to just 10 minutes with 90% accuracy. This shows how AI can save time and reduce mistakes.

Many factories still worry about high costs and cybersecurity when using AI. But new tools like agentic AI are helping them use data better. These tools can learn from their surroundings and make smart choices without humans. This is important for factories using old systems or dealing with messy data.

Industry 4.0 technologies like predictive maintenance and digital twins are now working with AI to improve machines. For example, sensors can predict when a machine will break, so workers can fix it before it causes problems. This helps avoid costly delays and keeps production lines running smoothly.

Some factories are also trying generative AI to design new products and fix supply chain issues. Tools with no-code interfaces let workers build AI models without needing to write complex code. This makes it easier for more people to use AI in their daily jobs.

Workers are learning to team up with AI instead of fearing it. In the UK, companies are using AI to plan delivery routes, saving fuel and speeding up shipments. While some still worry about job changes, experts say AI will create new roles focused on managing these smart systems.