Summary of Key Points from the Conference Call Industry Overview - The focus is on the **AI infrastructure** build-out, particularly in **Tier 1 data center markets**. The demand for AI is shifting from large super-compute facilities to more accessible metro colocation sites for better connectivity [1][2]. Core Companies Mentioned - **Digital Realty Trust (DLR)**: Positioned to attract customers seeking a balance of large footprint and low latency [2]. - **Equinix (EQIX)**: Best positioned for low latency workloads due to its leading interconnection offerings and market share in carrier hotels [2]. - **Iron Mountain (IRM)**: Smaller portfolio but strategically located in well-connected Tier 1 markets [2]. Key Insights on Latency - **Latency** is critical for AI applications, with inference tasks requiring sub-100 ms round-trip latency. The location of data centers significantly impacts this latency [3][16]. - **Tier 1 markets** are essential for low-latency applications, as they provide geographic proximity to end-users, which is crucial for applications like autonomous driving and high-frequency trading [21][22]. Enterprise Demand Trends - Enterprises are increasingly seeking smaller, low-latency infrastructure in Tier 1 markets rather than large-scale data centers in remote areas. This trend is driven by the need for fast, reliable performance for critical workflows [4][60]. - **AI adoption** is expected to accelerate enterprise demand for colocation services, with companies like DLR and EQIX reporting record leasing activity driven by AI-related demand [5][65]. Financial Projections - Data Center REITs are expected to deliver above-consensus revenue growth, with annual AFFO/share growth projected in the high single to low double digits [5]. - **Price targets** for key stocks are set as follows: DLR at $206.00, EQIX at $1,050.00, and IRM at $120.00 [6]. Market Dynamics - Vacancy rates in Tier 1 markets have dropped to historic lows, with power availability becoming a primary bottleneck for new developments. North America's vacancy rate fell to just **1.6%** in Q3 2025 [35]. - The supply-demand imbalance is enhancing landlords' pricing power, with DLR reporting **+8% cash re-leasing spreads** and IRM seeing **+13.9%** [36]. Competitive Landscape - Operators with existing inventory and rapid delivery capabilities are winning multi-megawatt pre-leases from hyperscalers and AI firms. The competitive advantage is increasingly tied to power access and network density [37]. - New entrants, primarily former Bitcoin mining firms, are pivoting to AI hosting but are building in remote locations, which may not meet the proximity needs for latency-sensitive applications [66][68]. Conclusion - The AI infrastructure landscape is evolving, with a clear bifurcation between large training clusters in remote areas and distributed inference workloads in Tier 1 markets. Companies with strong metro footprints and interconnection capabilities are best positioned to capture this growing demand [23][24].