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2026 Global AI Report

A playbook for manufacturing AI leaders

Where AI strategy drives manufacturing performance

The 2026 Global AI Report for manufacturing reveals how leading manufacturers convert AI strategy into measurable operational and financial impact. Based on global executive research, the findings show that disciplined governance, core system reinvention and workflow integration separate AI leaders from laggards. Manufacturers that embed AI across production, planning and enterprise systems are widening the execution gap at scale.

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AI is becoming the operating backbone of the enterprise. The manufacturers pulling ahead are the ones embedding AI into production, planning and engineering, governing it with discipline and scaling it across plants with confidence. That’s where real performance gains in throughput, resilience and margin are being unlocked.

Ranjeet Saudagar
,  
Global Manufacturing leader, NTT DATA
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Additional insights for business leaders

Strategic alignment

AI leaders in manufacturing align AI initiatives tightly with plant-level and enterprise priorities.

Disciplined scaling

Leaders move beyond pilots, embedding AI into core operational platforms.

Governed for growth

Centralized oversight accelerates deployment while reducing operational and compliance risk.

Operational performance

Embedding AI into production and planning workflows drives measurable gains.

Enterprise momentum

Investment success fuels reinvestment, widening the performance gap.

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Case studies

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Aero Vodochody transforms training with AI assistant, Wingman

Microsoft Copilot Studio and NTT DATA help Aero employees access training and internal knowledge more efficiently.

400+

hours of training made searchable

1,200

employees supported with AI assistants in Teams