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Industrial PoE and AI: What the Ethernet Alliance 2026 Roadmap Means for Future Ethernet Networks

Industrial PoE and AI: What the Ethernet Alliance 2026 Roadmap Means for Future Ethernet Networks

The 2026 Ethernet Alliance Update focuses on Artificial Intelligence 

Experts from universities to corporations see 2026 as an inflection point for artificial intelligence (AI), when the focus shifts from hype to utility. In 2026, the question will be how well AI can perform, at what cost, and for what purpose. It will be the era of evaluation using standardized benchmarks, clinical frameworks, and rigorous assessments of AI’s usefulness.

Efficiency will become a priority, with new hardware emerging to support AI agent workloads. Trust and security will take center stage, as the question of AI’s return on investment (ROI) is no longer a concern. Connectivity and infrastructure will face challenges in addressing scaling, convergence, and efficiency. Industrial power over Ethernet and AI will become central to meeting these challenges.

The Ethernet Alliance’s 2026 Roadmap aligns with these predictions.

Ethernet Alliance
Source: Ethernet Alliance

Data Centers and Enterprise Networks in the Ethernet Alliance 2026 Vision

As AI shapes the digital landscape, hyperscale data centers must balance bandwidth with power efficiency and cooling improvements to sustain AI scaling. Ethernet must deliver higher speeds over longer distances to meet growing data demands. Enterprise and campus networks currently use BASE-T connectivity with higher speeds beyond the access layer. As infrastructure expands with evolving Wi-Fi access points and AI-driven applications, the access layer will shift from BASE-T to 2.5G and beyond to ensure efficiency, scalability, and capacity.

2026 Ethernet Speeds Chart
Source: Ethernet Alliance

Automotive Expansion: Single-Pair Ethernet and Software-Defined Vehicles

Single-pair Ethernet is becoming the backbone of next-generation vehicle connectivity. It is a cost-effective, scalable in-vehicle networking solution that supports new technologies while maintaining connectivity to legacy deployments. Software-defined vehicles (SDVs) are a surging automotive market that needs high-bandwidth, a flexible backbone, and power delivery over the same cables, simplifying wiring, reducing weight, and enabling advanced features.

PoE and its companion power over data lines (PoDL) make SDVs more efficient by carrying power and data over the same cable. It decreases vehicle weight without jeopardizing scalability. With faster Wi-Fi underway, Ethernet ensures low-latency, high-speed connectivity and reliable performance as vehicles evolve into AI-driven mobile computing platforms.

Industrial and Building Networks: AI and Industry 4.0

Ethernet, AI, and 5G are transforming industrial and building networks, requiring faster connections, more power, lower latency, and seamless integration. Ethernet’s delivery of power and data enables real-time communication for Industrial Internet of Things (IIoT) and smart automation to meet the principles of Industry 4.0.

Interconnection, Information Transparency, Technical Assistance, and Decentralized Decisions are the guiding principles for the development and implementation of Industry 4.0. 

  • Interconnection is the ability of machines, sensors, devices, and people to connect and communicate with each other through the Internet of Things (IoT).
  • Information Transparency requires systems to create digital twins (or virtual copies) of the physical world by aggregating raw sensor data with relevant contextual information to enable informed decision-making.
  • Technical Assistance means collecting and visualizing information to aid in decision-making and problem-solving. It also means deploying cyber systems that physically assist humans with tasks that are unsafe or unhealthy.
  • Decentralized Decisions enable AI-driven systems to make decisions independently and perform tasks autonomously. Humans only become involved in cases of exceptions, interferences, or conflicts.

Ethernet technology provides decades of IT networking advancements, such as Time-Sensitive Networking (TSN). This set of IEEE 802 standards adds deterministic, real-time capabilities that guarantee low latency and synchronize timing to enable data control in industrial and automotive systems. Priority traffic coexists with lower-priority transmissions to improve efficiency and interoperability. The use of single pair BASE-T1 PHYs is designed for harsh operational environments. 

Industrial PoE and AI

Ethernet’s evolution toward higher-speed interfaces, expanded connectivity options, and improved power efficiency ensures ongoing support for AI applications. AI-driven data centers use advanced copper and fiber connections to meet processing demands and environmental concerns. Ethernet and PoE technology are becoming the standard for scaling AI networks that interconnect XPUs. (XPUs are specialized chips designed to offload and accelerate specific tasks, such as AI agents, from general-purpose CPUs, creating more efficient and heterogeneous architectures.)

International industry consortia are adopting Ethernet standards to support scale-out and scale-up AI networks. Of note are the following:

  • Ultra Ethernet Consortium (UEC) is looking to extend the Ethernet standards for AI or High Performance Computing (HPC) environments
  • Open Compute Project (OCP) is an open community forging new technology norms and fostering a sustainable ecosystem where industry players collaborate to create open, scalable infrastructure designs.

Individual vendors are building platforms with advanced software and hardware to meet AI demands. However, industrial AI is not without challenges.

Power Consumption: A Defining Constraint for AI Networks

Power efficiency is now a defining constraint for AI infrastructure. Questions concerning the power consumption of hyperscale data centers running AI applications have increased, especially in the United States. According to the Pew Research Center, US data centers consumed 183 terawatt-hours of electricity in 2024, or about 4% of the country’s total consumption. Since data centers are often geographically concentrated, the consumption percentages can strain local energy grids. For example, data centers accounted for 26% of Virginia’s total electricity supply in 2023. Increased consumption often results in higher energy costs for residents and surrounding businesses.

Industrial PoE: Powering AI in Harsh Environments D62-084-MX-DCP L2 Industrial PoE Switch

PoE technology offers high-performance power sourcing equipment that operates in extreme temperatures with power management features for energy efficiency. Versa’s D62-084-MX-DCP is an industrial-grade Layer 2 PoE switch that delivers 6kV PoE surge protection and operates reliably in extreme temperatures from -40°C to 75°C. In AI-environments where data collection occurs under extreme weather conditions, the D62-084-MX-DCP provides IEEE 802.3bt (90W) and IEEE 802.3at (30W) outputs.

The switch also supplies 12V and 24V DC outputs to support non-PoE network devices. Its gigabit capability ensures efficient power and data delivery over a single Ethernet cable, while SFP transceiver slots provide uplink connectivity for scalable deployments. The PoE switch also delivers automatic device discovery, real-time topographical views, and cable diagnostics. Its management tools allow for efficient power utilization. 

Catalyst or Consequence? Ethernet’s Role in the AI Era

While AI applications may drive advancements in Ethernet technology, they also depend on the technology to realize their full potential. Industrial PoE enables network enhancements by sending power and data over a single Ethernet cable, keeping pace with Ethernet’s gigabit capabilities. PoE technology continues to advance its power management features to lower energy consumption.

Versa Technology is a leading supplier of PoE products. It is committed to delivering solutions with the advanced functionality that AI deployments demand. Request a quote from Versa’s knowledgeable staff.

Sources:

https://hai.stanford.edu/news/stanford-ai-experts-predict-what-will-happen-in-2026

https://www.ibm.com/think/news/ai-tech-trends-predictions-2026