• Assessing how AI demand, large-load requests, and utility planning are reshaping Georgia’s project pipeline
• Understanding where power availability, public scrutiny, and local politics are starting to slow momentum
• Identifying what leaders must solve now to protect 2026 to 2027 project timelines

• Breaking down how load requests are evaluated and what drives utility and regulatory timelines
• Clarifying where project teams lose time across the approval and coordination process
• Showing how sponsors can plan more realistically against actual utility decision points

• Exploring the practical steps that shorten delivery timelines for AI and other high-density projects
• Comparing interconnection planning, substation readiness, sequencing, and early design decisions
• Highlighting what separates projects that move quickly from those that create avoidable delay

• Examining cost allocation across developers, utilities, hyperscalers, and colocation operators
• Understanding how Georgia is debating ratepayer protection, stranded-risk exposure, and infrastructure cost recovery
• Sharing commercial structures that keep projects financeable without pushing unacceptable risk elsewhere

Three short case studies focused on what changed, what time was saved, and what it took to make it happen. Speakers will share the critical path decisions that reduced risk across permits, power, procurement, and commissioning, with perspectives from a developer, utility, and OEM on each case.

1. Shortening Time to Power: What Is Working Now
2. Funding the Bottlenecks: When Owners Underwrite Infrastructure to Keep Projects Moving
3. Protecting Schedule Against Local Opposition, Procurement Risk, and Utility Delay

• Assessing how AI workloads are changing infrastructure requirements
• Examining what design choices matter most for density, resilience, and scalability
• Understanding how teams are planning for long-term flexibility under changing load assumptions

• Exploring how enterprise AI demand is evolving across manufacturing, energy, logistics, and other asset-intensive sectors
• Assessing what high-performance computing, data infrastructure, and power availability mean for real deployment
• Identifying what operators and industrial leaders need from data center partners to scale AI credibly
• Connecting enterprise AI demand with the infrastructure, reliability, and delivery questions shaping the market

• Examining how deployment and operational choices can improve facility-level efficiency as AI workloads grow
• Assessing established techniques such as hardware specialization and power oversubscription alongside emerging operating approaches
• Exploring how load shaping, placement, and inter-site migration can reduce peaks and energy per task
• Showing how application performance requirements can be maintained while improving grid compatibility and energy efficiency

Move from presentation to problem‑solving in these highly interactive, peer‑driven roundtables. Each table tackles a different Georgia “speed to power” challenge, with practical takeaways captured for the post‑conference report.

Roundtable leaders will open with a brief 10-minute introduction and a short overview of the topic, which can include a case study, lessons learned, or an industry update. This is followed by a 40-minute peer discussion, with the leader facilitating questions, feedback, and practical exchange. Summary per topic capturing key risks, mitigations, and next step actions. The final 10 minutes are dedicated to aligning on five clear industry recommendations which will be included the post-conference report.

• Time to Power Planning and Sequencing
• Grid Upgrades, Cost Allocation, and Risk Sharing
• On-Site Power Options: Where They Help and Where They Do Not
• Cooling and Water Strategy: Constraints, Trade-Offs, and What Projects Need to Prove
• Procurement, Commissioning, and Readiness
• Connectivity Critical Path: Fiber, OSP/ISP, and Time to Service
• Permitting and Environmental Review: Reducing Delay Without Losing Trust
• Procurement, Contracting, and Readiness: Delivery Playbooks That Protect the Schedule
• Building Local Support and Credibility: What Projects Need to Get Right Early

• Addressing how long-lead equipment is affecting project schedules
• Comparing delivery and contracting models across increasingly complex project teams
• Sharing procurement strategies that improve certainty across electrical and critical infrastructure

• Summarising the practical actions emerging from the day
• Highlighting where the biggest delivery risks still sit
• Setting the stage for Day 2 on siting, community, operations, and long-term viability

• Comparing liquid, hybrid, and closed-loop approaches through the lens of deployment and operational practicality
• Assessing which performance metrics leaders can credibly stand behind as density rises
• Clarifying how cooling choices affect readiness, resilience, and long-term operating confidence

• Clarifying what drives service readiness beyond land and power
• Assessing how fiber, network timing, and provider coordination affect deliverability
• Sharing what teams need to lock in earlier to avoid downstream delay

• Assessing which locations and corridors are gaining momentum and why
• Separating genuinely buildable sites from speculative activity and weak-readiness markets
• Highlighting the infrastructure and jurisdiction factors that matter most in site selection

• Walking through how one project moved from early screening to live delivery
• Highlighting the decisions that shaped power, approvals, procurement, and readiness
• Sharing what had to align to keep the timeline credible

• Examining what is helping projects move through approvals with greater certainty
• Addressing how teams are engaging earlier on land use, water, and local concerns
• Clarifying what creates avoidable friction across permitting and stakeholder engagement

• Addressing the concerns communities are raising around water, land use, noise, and local impact
• Examining what project teams need to handle early to avoid resistance later in the process
• Clarifying how developers, operators, and public stakeholders are building trust around major projects
• Sharing approaches to engagement that support delivery without undermining local confidence

• Examining how digitally native infrastructure is changing the way critical power assets are designed, monitored, and operated
• Assessing the role of digital twins, predictive analytics, and prescriptive maintenance in improving reliability, uptime, and asset performance
• Exploring how operators are balancing autonomy, observability, and control across increasingly complex facilities
• Identifying where intelligent infrastructure can improve efficiency, reduce downtime, and strengthen long-term project economics

• Defining where AI can autonomously act and where human approval must remain in place
• Designing auditability, rollback, and kill-switch mechanisms that make decisions defensible
• Embedding accountability into the operating model to prevent pilots from stalling at scale
• Translating trust into adoption across operations, engineering, and delivery teams

• Comparing where on-site generation is supporting timelines and where it is not
• Assessing trade-offs across reliability, economics, bridging, and long-term operations
• Identifying how teams are balancing near-term speed with long-term performance

• Separating what is realistic from what is still emerging across power, delivery, infrastructure, and operations
• Assessing which assumptions leaders can plan around with confidence
• Identifying the signals that will shape the next phase of investment and project execution