Atif Ansar

Using Project Data to Reduce Timeline & Budget Risk in AI Data Center Construction

• Defining what construction data reveals about timeline slippage, budget pressure and delivery complexity across AI-scale data center projects

• Examining how cost escalation, scope growth, schedule compression and coordination gaps are contributing to delays and overruns

• Clarifying which bottlenecks matter most as project complexity accelerates, and how teams can use data to identify execution risk before it impacts delivery