POSCO Future M Unveils AI-Driven Manufacturing Revolution at AI Festival in Pohang

October 14, 2026
POSCO Future M Unveils AI-Driven Manufacturing Revolution at AI Festival in Pohang
  • POSCO Future M announced that in-house AI projects are moving to production lines, following an AI Festival in Pohang on October 13 that celebrated 28 outstanding AI efforts from the AI 100-Day Challenge.

  • The AI Festival at POSTECH in Pohang showcased results from the AI 100-Day Challenge, with 28 standout cases recognized in two categories: office/manufacturing efficiency apps and AI-driven internal communications, safety, and training videos.

  • The winning model is designed to reduce unexpected repairs and production disruptions by enabling proactive maintenance decisions, with on-site tests and feedback before deployment to production sites by mid-2027.

  • The push comes as competition intensifies in the secondary battery materials market, where AI-driven predictive maintenance and process optimization can lift yield and ensure quality uniformity across global plants.

  • Targets include a 30% gain in manufacturing productivity and a 50% reduction in product development time by mid-2028, with plans to train at least one AI application expert per department by year-end.

  • POSCO Future M laid out a companywide data-driven roadmap in July to standardize work processes and drive AI transformation across manufacturing, R&D, and marketing.

  • Top awards went to the AI-Based MRO Material Integrated Management and Intelligent Procurement System and SEM Data Unmanned Acquisition and Analysis Automation, which streamline procurement and automate SEM image analysis.

  • The festival promotes an 'AI-native' work system where AI handles planning and execution of improvements, with humans making final judgments and decisions.

  • POSCO Future M aims to build an 'AI Native' work framework in which AI drives planning and execution while humans provide final judgment.

  • The grand-prize model, Kiln Heater Condition Prediction Model, analyzes furnace data to predict kiln failures, prioritize inspections, and reduce emergency repairs and production disruptions.

  • The grand prize prize-winning model forecasts failures in calcination furnace heaters, guiding inspection priorities and reducing disruptions.

  • The AI Festival is part of POSCO Future M’s broader AI transformation strategy, the AX program, and the Battery of Things Ecosystem Game Changer with a roadmap across manufacturing, R&D, and marketing.

Summary based on 2 sources


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