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Volatile Markets Cost Fabricators Speed, Not Price

Fabricators lose margin to slow repricing, not high material costs; the fix is connected pricing, sourcing, and production data. Adapting to the speed of changes driving todayโ€™s market instability is a major challenge for manufacturers. According to the National Association of Manufacturersโ€™ Q2

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ML Journal

Scale and Accuracy with the Buyer-Centric Smart Factory

When engineering, sales and production keep separate versions of the same configurable product, complexity turns into cost, delay and risk. Todayโ€™s buyers want products built around their exact requirements, but they want to buy them with the ease of ordering something off a shelf. Manufacturers are trying to deliver on that expectation, and many areโ€ฆ

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ML Journal

The Value Leak: Why Digital Wins Fade After Go-Live

The technology works, but value quietly leaks through eroded trust, change fatigue and the human systems no one manages after go-live. I have stood in a lot of go-live celebrations. The line is running, the dashboards are lit, someone takes a photo with the plant leadership, and the deployment team is already thinking about theโ€ฆ

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ML Journal

A Practical Approach to Physical AI in Manufacturing

Measurable value from physical AI begins with existing assets, laying the foundation for autonomous operations in the future. At trade shows and conferences worldwide, humanoid robotics are taking the stage, heralding for some a new era in industrial automation. The growing availability of robotics and other physical AI-enabled machines might suggest manufacturers are poised toโ€ฆ

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ML Journal

Upskilling the Manufacturing Workforce for AI

To bridge labor gaps, manufacturers must upskill their workforce to transition from task execution to AI supervision and operational governance. Manufacturers are under growing pressure to do more with a constrained workforce. In June 2026, there were 481,000 manufacturing jobs open nationwide, according to the

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ML Journal

Modernizing Maintenance for Sustainable Productivity

The manufacturers closing the productivity gap are augmenting automation with maintenance operations that are data-driven, predictive and connected. A pump fails on a Friday night. A technician shows up, diagnoses the problem from memory, fixes it in two hours, and goes home. No record of what he found. Limited documentation of what he did. Noโ€ฆ

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ML Journal

Survey: In Manufacturing Data We Trustโ€”Mostly

The Manufacturing Leadership Councilโ€™s latest survey reveals steady progress toward data mastery, alongside persistent gaps in verification, integration and untapped potential โ€œIn God we trust, all others must bring data.โ€ Most commonly attributed to statistician and business theorist William Edwards Deming, those nine words make for a popular post on LinkedIn and elsewhere online. Ironyโ€ฆ

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Industrial AI

Engendering Technology Trust in Physical and Agentic AI

Manufacturers adopting physical and agentic AI must build trust in reliability, security, and safety. Success depends on safe operating boundaries and preserving human accountability in AI-driven processes.

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ML Journal

Orchestrating Material Handling with AI & Automation

AI, automation, virtualization and secure IT/OT orchestration can turn material handling constraints into scalable competitive advantage. A unified digital foundation helps manufacturers reduce risk, unlock data and optimize operations across the enterprise.

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ML Journal

Welcome New Members of the MLC May 2026

Introducing the latest new members to the Manufacturing Leadership Council

MLC welcomes new members from McCain Foods, Bosch, Bloom Energy, General Mills, Abbvie, Workday, Smurfit Westrock, Pioneer Service and Standex. Learn more about the associationโ€™s newest member leaders.

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