The AI Revolution Is Creating the Channel’s Biggest Opportunity Yet

Feb 11, 2026

By Brent Goren, Segment Development Manager, Emerging Technologies, Eaton

Over the past several decades, the IT landscape has been shaped by countless technological advancements. But never before has an innovation sparked the type of rapid and widespread change we’re experiencing today with Artificial Intelligence (AI).

As Eaton’s segment development manager for AI, I’ve seen more changes occur in the past three years than in my previous 35 years in the industry combined. AI is impacting every industry, from helping pharmaceutical companies bring new drugs to market faster to enabling robotic systems used in life-saving surgeries. In industrial environments, AI is powering autonomous equipment that handles picking, sorting, and fulfillment at scale—delivering faster fulfillment, fewer errors, and improved operational efficiency. Because of these benefits, we’re seeing an enormous expansion in AI investment. To put this growth into perspective, global AI investment is projected to reach approximately $500 billion in 2026 and is expected to exceed $5 trillion by 2033.

Where AI spending is headed next

Today, roughly 80% of AI investment is concentrated on large-scale model training and development, much of it taking place in public cloud and large hyperscale environments, while about 20% is allocated to inference (the deployment of models for daily use). Industry experts assess that as AI adoption transitions from education into production, that balance is expected to reverse, with inference driving approximately 80% of AI investment over the next five years.

So what do all these facts and figures mean for our partners? In a word: opportunity.

Infrastructure built for AI’s appetite

One of the most immediate and significant impacts AI is having on the channel is a dramatic increase in power demand. The energy requirements of AI infrastructure have fundamentally transformed the server rack. In 2022, an average data center rack typically supported densities between 10 kW and 30 kW. Today, we’re seeing clustered AI systems scaling at approximately 200 kW per rack, with expectations of reaching 600 kW by 2027 and well over one megawatt by 2030.

As AI continues to evolve from training-centric environments to inference-driven deployments, opportunities for channel partners will expand even further. Latency, reliability, and regulatory requirements are driving organizations to maintain substantial compute resources on premises and in hybrid or private cloud environments, enabling infrastructure to be positioned near users, data, and operational systems, and designed to support real-time decision-making.

Powering the future, together

Eaton is enabling partners to address these escalating power demands with solutions designed specifically for AI applications, including high-density power distribution, scalable power and energy storage architectures, advanced rack-level power management, and intelligent power visibility through the Brightlayer platform, all engineered to support higher power densities, increased redundancy, and rapid scalability.

With AI evolving at an unprecedented pace, Eaton understands that channel partners are determining where and how to engage most effectively. We’ve made significant investments in the data center whitespace over the past few years, and we remain focused on developing the tools, technologies, and expertise needed to help partners succeed as AI continues to reshape the infrastructure landscape.

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