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Infosys Manufacturing Tech Index: AI Pulse: 75% of Manufacturers Embed AI into Enterprise Strategy

Infosys has released its inaugural Manufacturing Tech Index: AI Pulse, a comprehensive research report that examines how manufacturers across the globe adopt, invest in, and scale artificial intelligence (AI) across their enterprises. The research study developed by Infosys Knowledge Institute, the research and thought leadership arm of Infosys, provides insights on AI spend, current progress of AI adoption, AI strategy, and the perception of AI’s value creation during late 2025. Drawing on insights from 650 senior manufacturing executives worldwide, the report highlights AI’s rapid transition from experimentation to enterprise imperative and the challenges that continue to shape adoption at scale.

The key findings of Infosys Manufacturing Tech Index: AI Pulse are as follows:

  • AI is a strategic imperative - 75% of manufacturers embed AI into their enterprise strategy. This commitment marks a decisive shift from exploration to necessity as operational complexity, workforce constraints, and faster innovation cycles push leaders to adopt AI.
  • AI investments scale rapidly - Over 50% of manufacturers allocate more than $2 million per AI implementation. Unlike traditional enterprise software, these initiatives require capital-intensive integration with physical operations, extensive data engineering, and significant workforce enablement.
  • Cybersecurity leads in adoption but remains the biggest barrier - AI adoption is highest in cybersecurity and operational technology (OT) systems (57%). However, cybersecurity also stands out as the top barrier to scaling AI (23%), with risk expected to increase as IT and OT environments converge. Data challenges follow closely, driven by persistent issues with data quality, access, lineage, and governance.

While strategic commitment to AI is rising, the report emphasizes that strategy alone is not enough. Organizations who see meaningful traction pair ambition with disciplined execution backed by unified data and governance architectures, cross-functional operating models, and workforce readiness.

The next phase of AI maturity for manufacturers will be defined by deeper operational integration, stronger cybersecurity and data readiness, and the enterprise-wide scale of successful use cases.

To read the full report, please visit here.