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When Emerson announced in September 2026 that its DeltaV automation platform had been specifically enhanced to address the unique operational requirements of AI-scale data centers, the move represented more than a product update—it signaled a fundamental shift in how the industrial automation industry views the data center market. No longer content to treat data centers as IT infrastructure, Emerson and other automation vendors are recognizing that modern AI data centers share more operational characteristics with chemical plants and refineries than with traditional server farms.

The convergence of artificial intelligence workloads and data center infrastructure has created a new class of facilities that demand industrial-grade automation and control. AI training clusters, which can consume 100 megawatts or more of electrical power, generate heat densities that would be unacceptable in conventional data centers. These facilities require sophisticated cooling systems, power distribution networks, and environmental controls that operate with the precision and reliability of process manufacturing operations. The DeltaV platform, long the standard in pharmaceutical and chemical industry automation, brings decades of experience in managing complex, safety-critical processes to this emerging application.

The technical challenges of AI-scale data centers extend far beyond simply installing more servers. Modern AI training workloads, particularly those involving large language models and generative AI applications, require sustained computational performance over periods of days or weeks. This sustained operation places unprecedented demands on cooling infrastructure, which must maintain precise temperature and humidity conditions while managing heat loads that can exceed 100 kilowatts per equipment rack. Traditional data center cooling approaches, designed for much lower power densities, simply cannot cope with these requirements.

Emerson's DeltaV platform addresses these challenges through a combination of advanced process control algorithms, high-speed communication networks, and redundant control architectures. The platform's ability to coordinate the operation of chillers, pumps, valves, and heat exchangers across large facilities enables optimization of cooling efficiency while maintaining the tight environmental tolerances required by sensitive computing equipment. For distributed control system professionals, this represents a familiar application domain—one where the coordination of multiple interconnected systems must occur in real time while maintaining operational safety and efficiency.

The power distribution requirements of AI data centers also align closely with industrial automation expertise. Modern AI training facilities require multiple layers of power conversion and distribution, from utility-scale substations to rack-level power delivery. Each stage must maintain high efficiency while providing the redundancy and fault tolerance necessary for continuous operation. The DeltaV platform's experience in managing complex power systems in oil refineries and chemical plants translates directly to these data center applications, where power quality and reliability are paramount.

For programmable logic controller manufacturers, the data center market represents a significant growth opportunity. Traditional data center automation has relied on building management systems and IT-focused monitoring tools, but the scale and complexity of AI facilities are driving adoption of industrial-grade control systems. These systems must integrate with both IT infrastructure management tools and facility operations systems, creating hybrid architectures that bridge the gap between information technology and operational technology.

The safety requirements of AI data centers, while different from those of chemical plants, still demand rigorous attention to detail. Large-scale battery energy storage systems, used for power backup and grid stability, present fire and thermal runaway risks that require sophisticated monitoring and mitigation systems. High-voltage power distribution, liquid cooling systems, and backup generators all require safety instrumented systems that can respond to abnormal conditions before they escalate into major incidents.

Emerson's decision to target the data center market with DeltaV reflects broader trends in the industrial automation industry. As traditional process industries mature and growth rates slow, automation vendors are seeking new markets where their expertise in complex system coordination, safety management, and operational optimization can provide competitive advantage. Data centers, particularly those supporting AI workloads, offer exactly these opportunities—complex systems with high reliability requirements, significant energy consumption, and growing operational scale.

The integration of operational technology and information technology in data centers creates unique challenges for automation system design. Unlike traditional industrial facilities, where operational data flows primarily to control room operators, data centers must provide real-time visibility to both facility operators and IT administrators. This dual audience requires user interfaces and data architectures that can serve different needs while maintaining a single source of truth about facility operations.

For manufacturers of Emerson automation products, the data center opportunity extends beyond the DeltaV platform. The company's portfolio includes variable frequency drives for pump and fan control, power monitoring systems, valve actuators for cooling systems, and a wide range of sensors for temperature, pressure, and flow measurement. Each of these products finds application in modern data centers, creating opportunities for integrated solutions that optimize overall facility performance.

The energy efficiency requirements of AI data centers have become increasingly stringent, driven by both environmental concerns and operational economics. Modern facilities must achieve power usage effectiveness (PUE) ratios below 1.2, meaning that no more than 20 percent of total facility power can be consumed by cooling, lighting, and other non-computing loads. Achieving this level of efficiency requires sophisticated control systems that can continuously optimize the operation of cooling equipment based on real-time workload, weather conditions, and electricity pricing.

The DeltaV platform's advanced process control capabilities enable these optimizations through model predictive control algorithms that anticipate future cooling needs based on workload forecasts and weather predictions. These algorithms can pre-cool facilities during off-peak electricity periods, reduce cooling capacity during low-workload intervals, and coordinate the operation of multiple cooling systems to minimize overall energy consumption. For data center operators facing electricity costs that can exceed $10 million annually, these optimizations provide substantial economic benefits.

The scalability of industrial automation platforms also addresses a key challenge in data center design. As AI workloads continue to grow, data centers must expand their capacity in modular increments. Industrial control systems, designed to manage facilities that grow from initial construction through multiple expansion phases, provide the scalability and flexibility that data center operators require. The ability to add control points, integrate new equipment, and modify control strategies without disrupting ongoing operations is essential for facilities that operate on continuous expansion cycles.

For professionals working with Emerson automation systems, the data center market offers opportunities to apply proven industrial automation techniques to new challenges. The principles of redundant control, safety instrumented systems, and advanced process control that have been refined in process industries over decades translate directly to the requirements of modern data centers. The difference lies not in the fundamental control approaches, but in the specific applications and integration requirements.

The workforce implications of bringing industrial automation expertise to data centers are significant. Data center operators, traditionally drawn from IT backgrounds, must develop new skills in industrial control system operation and maintenance. Conversely, industrial automation professionals must understand the unique requirements of IT infrastructure and the business drivers of data center operations. This cross-pollination of skills and knowledge is creating new career paths and training opportunities at the intersection of IT and OT.

As AI workloads continue to drive data center growth, the role of industrial automation systems will become increasingly central to facility operations. The ability to manage complex, interconnected systems with high reliability and efficiency—skills that industrial automation vendors have developed over decades—will be essential for data centers that must support the next generation of artificial intelligence applications. Emerson's DeltaV platform, with its proven track record in demanding process industries, positions the company to be a key player in this evolving market.

For those interested in understanding how power supply modules and other industrial automation components are being adapted for data center applications, the convergence of IT and OT infrastructure provides a fascinating case study. The requirements for reliability, efficiency, and scalability are driving innovation in automation technology that will benefit both traditional industrial applications and the rapidly growing data center market.

Written by: Maxwell, an industrial automation specialist with over 15 years of experience in process control systems and facility automation. Having worked in chemical plants, refineries, and now data centers, I've witnessed the gradual convergence of IT and OT infrastructure—and Emerson's decision to bring DeltaV to the data center market represents a recognition that modern AI facilities require the same level of sophisticated control and optimization that has long been standard in process industries.