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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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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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MLC Member News and Research

Building an OT Organization in an IT World

Manufacturers need intentional IT/OT structures to clarify ownership, automate workflows, and close capability gaps. A future-ready organization should fit company size, talent access, and evolving digital needs.

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MLC Digest

Survey: GenAI Adoption Surges In Manufacturing

Manufacturers are rapidly adopting generative AI, with 71% already using it and nearly 90% planning to expand use in two years. Most have corporate AI policies, though maturity remains early amid data and skills challenges.

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ML Journal

Dialogue: Leading Manufacturing Through AI Change

Rockwellโ€™s Blake Moret says manufacturing must urgently adopt AI and smart manufacturing, with supportive policy and a learning culture, to stay competitive amid tariffs and supply chain risks.

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Critical Issues

Survey: Smart Factories Enter the Execution Era

Manufacturers say smart factories have moved into an execution era, with AI maturing, digital transformation becoming a competitive advantage, and more than 90% planning to maintain or increase investments in 2026.

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Future of Manufacturing Project

The Best of Executive Dialogue

2025 Executive Dialogue highlights how manufacturing leaders are using AI, Industry 4.0 and digital culture to drive transformation, build talent, and prepare for the future.

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Rethink Annual Summit

The Best of Rethink 2025

Rethink 2025 highlighted Manufacturing 4.0 best practices, from AI and digital resilience to autonomous operations, with sessions on Eaton, IPG, Hershey, and strategies for accelerating transformation.

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Data Governance, Mastery and Interoperability

MLJ December 2025 โ€“ Research Survey Recap

MLCโ€™s 2025 surveys show manufacturers advancing digital maturity, AI, data and smart factories, while tariffs, legacy systems, skills gaps and weak data governance continue to slow progress.

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Annual Summit Content

The Best of Rethink 2025

Rethink 2025 marked 20 years of Manufacturing 4.0 insights, featuring sessions on digital transformation, innovation, and next-generation leadership from industry experts and manufacturers.

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Critical Issues Calls

The Best of 2025 Decision Compass Calls

MLCโ€™s Decision Compass calls explore key Manufacturing 4.0 topics, from generative AI and workforce engagement to predictive maintenance, cloud supply chains, and carbon reuse. Archived sessions are available to members in the content library.

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Plant Tour

Exploring Digital and Physical Convergence at Eclipse Automation

MLC members toured Eclipse Automationโ€™s iPort to see digital twins, AR/VR demos, and shop-floor innovation in action. The event highlighted how digital transformation and automation are accelerating factory design and production.

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Industrial AI

How Manufacturers Can Achieve GenAI Success

Manufacturers can maximize GenAI by centralizing tools, rethinking business models, supporting workers, closing talent gaps, building partnerships and focusing data strategy on AI readiness.

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Data Mastery

Mastering Manufacturing Data for Real Advantage

Manufacturers generate vast data, but fragmented systems and weak governance limit its value. A staged approach focused on reliability, ownership, and monitoring turns data into faster, more confident decisions.

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