J.S. Held adquiere Element Forensic Engineering, ampliando así sus capacidades especializadas en seguros para reclamos de daños a la propiedad en el segmento de empresas medianas y de grandes en todo Canadá
LEER MÁSWhen AI infrastructure failures, delays, or disruptions occur, the resulting impacts can cross technical and financial boundaries. J.S. Held helps clients understand what happened, how the impacts spread, and the associated damages in insurance claims and legal disputes, providing a single-source solution that combines deep, courtroom-tested technical and financial expertise.
The global AI hyperscale data center build-out is one of the largest infrastructure investment cycles in modern history. Its scale, concentration of value, and dependence on interconnected construction, energy, environmental, equipment, digital, and operational systems are creating technically complex claims and disputes with potentially significant financial exposure. With a dispute profile spanning multiple layers - from the physical infrastructure through the operational environment to the technology stack - no single-discipline firm can address the full scope. J.S. Held is uniquely positioned to deliver integrated expertise across all dimensions.
AI infrastructure insurance claims and legal disputes involve an interconnected combination of environmental conditions, construction activities, specialized equipment, energy systems, digital operations, intellectual property considerations, and financial consequences. These matters are further complicated by the pace of AI infrastructure development, which is intensifying demand for AI GPUs (chips), power, water, materials, specialized equipment, qualified contractors, and other constrained resources.
A disruption in one area can affect project delivery, facility performance, business continuity, and financial exposure across the broader infrastructure environment. J.S. Held examines the relevant physical, environmental, technical, project, digital, operational, and financial evidence to establish the facts and connect related impacts.
Through one integrated team that analyzes the event from distinct technical and financial perspectives, J.S. Held helps counsel, insurance professionals, owners, operators, developers, contractors, utilities, investors, and other stakeholders determine causation, assess claimed impacts, quantify property and financial exposure, and present independent findings that can withstand scrutiny in claims and dispute-resolution proceedings.
This multidisciplinary analysis gives clients a clearer, evidence-based foundation for evaluating and resolving high-stakes insurance claims, litigation, arbitration, and other disputes.
AI Infrastructure: Data Centers and Beyond

AI infrastructure encompasses the facilities, utilities, energy generation and distribution systems, cooling technologies, computing equipment, semiconductor supply chains, construction programs, and surrounding environmental conditions required to support AI operations.
Rapid build-out can place additional pressure on energy availability, utility interconnection, material and equipment procurement, contractor capacity, project schedules, and costs. When a failure, delay, environmental issue, power constraint, construction problem, or operational disruption occurs, the consequences may extend across multiple assets, contractual relationships, and project stakeholders rather than remaining confined to a single system or discipline.
AI Infrastructure at a Glance

945 TWh by 2030
Global electricity demand from data centers is projected to more than double by 2030, with AI as the largest driver of the increase.Source: International Energy Agency: Energy and AI
6.7% to 12% by 2028
Data centers could account for 6.7% to 12% of total US electricity consumption by 2028.Sources: U.S. Department of Energy report summary and Lawrence Berkeley National Laboratory findings
7% to more than 30%
Cooling and environmental control can account for approximately 7% to more than 30% of a data center’s electricity consumption, depending on facility type and efficiency.Source: International Energy Agency: Energy Demand from AI
9.3 trillion liters by 2030
Global data center water consumption is projected to reach 9.3 trillion liters by 2030.Source: Reuters coverage of United Nations University research