AI Trends 2026
AI Sets the Pace for Modern Manufacturing Operations

A guest article by Stefan Bergstein, Chief Architect Manufacturing, Red Hat and Max Murakami, AI Platform Specialist Solution Architect, Red Hat | Translated by AI 5 min Reading Time

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With the end of the experimental phase for AI, strategic questions are now taking center stage. In the manufacturing sector, developments are emerging that simplify industrial processes.

AI will gain importance in manufacturing in 2026.(Picture: © miss irine - stock.adobe.com / AI-generated)
AI will gain importance in manufacturing in 2026.
(Picture: © miss irine - stock.adobe.com / AI-generated)

Many companies have left the phase of pure pilot projects behind them and have moved AI to the center of operational value creation. The task here is to reliably transfer AI into operations. Stability, scalability, cost control and measurable effects on OEE (Overall Equipment Effectiveness), throughput and quality must be guaranteed. As a result, AI projects are increasingly being set up like traditional automation or MES (Manufacturing Execution System) projects—with clear roles, governance structures and defined life cycles for data and models.