AI-Driven Industrial Automation Reshapes Data Center Power and Cooling Infrastructure
Datacloud Global Congress 2026 Highlights Industrial Automation Transformation in Cannes
The global data center industry gathers at Datacloud Global Congress 2026 in Cannes, France.The event runs from 1–4 June 2026.It focuses on AI-driven infrastructure growth and industrial automation challenges.Schneider Electric.
Schneider Electric leads discussions on AI-ready power systems.Moreover, the company demonstrates advanced factory automation concepts for next-generation digital infrastructure.These systems support industrial automation, PLC, DCS, and control systems integration in data centers.
Explosive AI Growth Demands New Factory Automation and Power Architecture
AI infrastructure investment will exceed trillions globally.Gartner projects over USD 2.5 trillion AI spending in 2026.Morgan Stanley expects nearly USD 3 trillion AI infrastructure investment by 2028.Therefore, traditional electrical design cannot support modern AI workloads.Legacy industrial automation systems struggle with high-density compute loads.As a result, operators must redesign control systems and power distribution strategies.
NVIDIA Blueprint and Digital Twins Advance Industrial Control Systems
NVIDIA introduces advanced infrastructure simulation frameworks. NVIDIAThese frameworks support industrial automation and digital engineering workflows.Moreover, engineers use digital twins to design AI factories before physical deployment.
The DSX Blueprint improves planning accuracy for control systems and PLC-based operations.In addition, NVIDIA Omniverse enables real-time simulation of factory automation environments.
Enterprise Collaboration Strengthens Global Data Center Automation Strategy
Industry leaders discuss ecosystem cooperation to support AI-driven industrial automation.Oracle Oracle joins panel discussions on scalable cloud infrastructure.
CBRE CBRE contributes insights on global data center deployment.Additionally, DATA4 supports discussions on hyperscale growth strategies.These collaborations improve industrial automation planning for energy-intensive facilities.Therefore, operators explore new financing models and utility partnerships.They also align control systems with long-term sustainability goals.
Liquid Cooling and 800VDC Systems Enhance Factory Automation Efficiency
Modern AI chips generate extreme thermal loads.Therefore, liquid cooling becomes essential for industrial automation stability.Motivair solutions integrate with advanced control systems.Solar Turbines supports energy-intensiveinfrastructureresilience.Moreover, Schneider Electric introduces 800 VDC power architecture.This improves efficiency in PLC-controlled power distribution systems.In addition, engineers use simulation tools to reduce deployment risks.
Digital Engineering and Industrial Control Systems Define the AI Factory Future
Advanced simulation tools now drive factory automation design.Digital twins reduce engineering errors in industrial automation projects.Schneider Electric integrates NVIDIA reference designs for GB300 NVL72 platforms.It also supports Grace Blackwell Ultra architectures for AI workloads.Moreover, smart spatial tools improve monitoring of DCS and control systems.As a result, operators achieve higher reliability in AI data centers.
Industry Leaders Emphasize Sustainable Industrial Automation Growth
GreenScale, Kao Data, and JSM Group join strategic discussions.They focus on funding models for industrial automation expansion.They also improve coordination with utilities and local governments.Therefore, the industry builds more resilient control systems.This supports sustainable factory automation in the AI era.

Executive Insights on AI Power and Industrial Automation Evolution
Schneider Electric Schneider Electric executives highlight AI-driven infrastructure transformation.Marc Garner emphasizes rapid changes in digital infrastructure demands.
He stresses power, cooling, and resiliency challenges in industrial automation.Moreover, collaboration across ecosystems becomes essential.
It enables scalable control systems for AI factories.