Industrial AI Viewpoints

Featured here are original and timely articles from ARC analysts and guest writers on Industial AI and its impact on Energy & Manufacturing industries. We dive into technologies such as AI models, machine learning, industry standards, AI use cases, companies driving this technology and more related to Industrial AI. Our goal is to provide readers with clear and concise analyses, opinions, and discussion of Industrial AI trends, technologies, and services.

Mar
26
2026

Gaven Simon — Industry Trends

The Tipping Point: AI and the Race for Autonomous Energy Operations

Schneider Electric’s latest report highlights accelerating global adoption of autonomous operations, driven by AI, rising energy demand, and increasing pressure on industrial efficiency and sustainability.

Mar
24
2026

— Industry Best Practice

How to Capitalize Quickly to Address Hyperconnected Industrial Demand

Real-time market signals are redefining how industrial enterprises align supply chains, shifting value creation from internal efficiency to speed, responsiveness, and ecosystem-wide coordination.

Mar
23
2026

Larry O'Brien — Acquisition or Partnership

SoftBank and American Electric Power Launch Huge Combined AI Data Center and Power Project

SoftBank and American Electric Power partner on a $33.3 billion AI data center and power infrastructure project in Ohio, highlighting the scale and energy demands of next-generation AI infrastructure.

Mar
20
2026

Colin Masson — Technology Trends

Trench Warfare: The Unglamorous Work of Scaling Industrial AI

An ARC Industry Leadership Forum session highlights why scaling Industrial AI depends less on algorithms and more on change management, context engineering, and IT-OT-business alignment.

Mar
20
2026

Bob Gill — Podcasts/Videos

Chris Lee: Ambitions for AVEVA in Asia Pacific

Chris Lee outlines AVEVA’s Asia Pacific strategy, highlighting digital transformation, AI at scale, and the role of industrial software in driving performance, sustainability, and innovation.

Mar
20
2026

Jim Frazer — Technology Trends

Conclusion: The Future of Logistics Is Connected Intelligence

AI is transforming supply chains into connected, intelligent ecosystems by integrating A2A, MCP, RAG, and Graph RAG with modern infrastructure, harmonized data, and governance to enable real-time, context-aware decision-making.

Mar
18
2026

Rita Liu — Acquisition or Partnership

Inovance’s Strategic Investment in CYBSTAR: Expanding Industrial Software Capabilities to Target the Trillion-Yuan Process Industry

Inovance’s investment in CYBSTAR highlights a strategic shift toward hardware-software integration, enabling expansion into process industry automation through advanced industrial software and AI-driven optimization.

Mar
18
2026

— Industry Best Practice

The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production

This first in a blog series offers a review of discussion that occurred during ARC Advisory Group's 2026 Industry Leadership Forum.

Mar
18
2026

— Technology Trends

Algorithm Reigns Supreme: The AMR “New Species Revolution” Reshaping the Trillion-Dollar Warehouse Industry

Algorithm-driven orchestration, rather than hardware alone, is redefining warehouse automation, positioning AMRs as the foundation of software-defined logistics and large-scale industrial transformation.

Mar
17
2026

Colin Masson — Technology Trends

Demystifying Industrial AI: A New Voyage of Discovery

ARC Advisory Group introduces a 3-Axis Industrial AI taxonomy to help end users evaluate AI models beyond vendor hype, addressing growing concerns around transparency, safety, and data governance.