AI is transforming data centers into front-line strategic assets. GPU-intensive workloads and hyperscale cloud growth are driving unprecedented power demand—pushing grids and generation capacity to their limits.
The scale of the challenge:
- U.S. data center energy: 76 TWh (2018) → 176 TWh (2023) → projected 945 TWh by 2030
- Critical equipment lead times: gas turbines 6+ years; transformers 5+ years
Developers must deliver GW-scale capacity faster and cleaner—without compromising resilience or sustainability.
In this webinar, Worley and industry partners will explore what it takes to deliver next-generation AI data centers—from both sides of the fence:
- “Outside-in”: Utilities, power generation, transmission, microgrids
- “Inside-out”: Racks, cooling systems, automation
Using real-world examples—including 5GW microgrids and off-grid AI training data centers—we’ll share practical strategies to navigate long-lead equipment, grid constraints, and regulatory pressure.
You’ll hear from:
- Worley data center and power infrastructure experts
- Industry partners on energy management, cooling, and client requirements
Register now to secure your place.
Why Attend?
- Understand how AI and hyperscale growth are changing power demand, siting, and grid requirements for data centers
- Identify the key challenges utilities, developers, and operators face in delivering GW-scale, AI-ready data centers—including equipment lead times, fluctuating demand profiles, and regulatory pressures
- Explore how to integrate “inside the fence” solutions (racks, cooling, automation, energy management) with “outside the fence” infrastructure (generation, transmission, microgrids)
- Learn from real-world GW-scale project examples and gain practical strategies to accelerate your data center development timeline