Schneider Electric Predicts Evolving Data Centers For AI-driven Future In 2026

Country President, Schneider Electric West Africa, Ajibola Akindele, has stated that artificial intelligence (AI) disruptions of recent years were only the prologue to what 2026 promise, noting that full integration of AI into data centers operations was the way.

He said since ChatGPT brought artificial intelligence into mainstream awareness in late 2022, AI has transformed sectors from academia and healthcare to business. In 2026, the focus will shift from large language models to AI inferencing, marking a defining year for the technology.

Akindele added that the data centres industry was preparing for denser AI workloads requiring advanced cooling, retrofitting of existing facilities, AI factories, and expanded use of digital twins for efficiency. Resilience and adaptability will remain central as technological change and geopolitical uncertainty continue to impact the sector.

“AI is no longer just a tool; it is a transformative force that demands the right infrastructure to unlock its full potential. In 2026, organizations that strategically invest in AI-ready data centers, with advanced cooling, modular designs, and energy-efficient solutions, will gain the agility, resilience, and competitive edge needed to lead in the AI-driven economy,” Akindele stated.

Currently, AI adoption is growing rapidly. According to McKinsey’s state of AI survey, 78 per cent of organizations now use AI in at least one business function, up from 72 per cent in early 2024 and 55 per cent in 2023. Sales and marketing remain the primary areas of application, but AI use is expanding into manufacturing, healthcare, finance, and data centres.

Meanwhile, manufacturers using AI for demand forecasting improve accuracy by a median 30 percentage points; Hospitals are adopting AI for predictive billing, appointment scheduling, and identifying high-risk outpatients; Financial institutions enhance fraud detection, payment optimization, and risk management using AI; and Data Centers deploy AI-driven cooling systems, predictive analytics, and energy management to reduce waste and integrate renewables efficiently.

AI agents operating with minimal supervision will become core to business processes, requiring significant data Centers capacity or AI factories for inferencing and continuous learning.

Akindele stated that an AI factory is a data centre that generates intelligence rather than simply storing and processing data. These facilities handle model training, fine-tuning, and inference to generate actionable insights or revenue-driving intelligence.

He noted that inferencing workloads range from under 20 kW for compressed models to 140 kW per rack for advanced agentic systems. By 2030, approximately 25% of new builds will be <40 kW per rack, 50% between 40–80 kW per rack, and 25% >100 kW per rack dedicated to large-scale training.

According to him, cutting-edge hardware, including NVIDIA Rubin CPX GPUs and Vera CPUs in the MGX NVL144 CPX platform, will provide 8 exaflops of AI compute, offering 7.5x more AI performance than previous systems.

The Schneider boss added that robots will extend AI automation to a wide range of industries, including delivery drones, surveillance, disaster response, healthcare, firefighting, agriculture, and even passenger transport. Data Centerss themselves will leverage robotics for security monitoring, server installation, cable organization, and liquid cooling system management.

Digital twins will play a central role in 2026, enabling operators to simulate and optimize complex objects, systems, and processes. For example, ETAP modelling integrated with NVIDIA Omniverse can create virtual replicas of a data Centers’s electrical infrastructure for design and operational optimization.

AI rack densities are projected to reach 240 kW per rack in 2026, with research exploring densities of 1 MW by 2028 and even 1.5 MW per rack. Advanced liquid cooling solutions will become standard to meet these ultra-high-density requirements efficiently.

Smaller companies will increasingly pursue brownfield retrofits, upgrading existing facilities with larger IT racks, higher power PDUs, and liquid cooling bolt-on solutions to accommodate AI workloads. This strategy ensures AI readiness is accessible beyond hyperscalers.

Akindele said data centres operators will continue adopting diverse power solutions, including natural gas turbines with carbon capture, HVO-fueled generators, solar, wind, geothermal, and battery storage. Currently, renewables supply 27% of data Centers electricity, and total renewable generation is projected to grow 22% annually until 2030, covering nearly half of future power demand.

2026 marks a year where AI moves from disruption to foundation. Data Centers will not just support technology — they will enable intelligence itself. From liquid-cooled AI factories to retrofitting and advanced digital twins, operators must embrace external expertise and global partnerships to maintain resilience, agility, and competitiveness in a rapidly evolving AI landscape.