TL;DRAs AI-driven data center demand doubles global capacity toward 2030, ER Steel makes the case that responsible infrastructure depends on integrated construction coordination, modular fabrication, energy diversification, and environmental stewardship rather than speed alone.
The rapid expansion of AI infrastructure seems to have brought data centers into a new phase of global development, with growing attention on computing power, digital capacity, and speed to deployment. Alongside that momentum, ER Steel observes another conversation gaining importance: the challenge of building and powering these facilities responsibly and efficiently while maintaining long-term operational resilience. A global fabricator of structural steel and building systems, ER Steel views this moment as an opportunity to rethink how large-scale infrastructure is coordinated from design through delivery.
Demand for AI-related infrastructure continues to accelerate as cloud computing, machine learning, and digital services expand across industries. According to a global data center market outlook report, nearly 100 gigawatts of new data center capacity could come online between 2026 and 2030, effectively doubling global capacity during that period. The report also notes that AI workloads may account for half of all data center activity by 2030, creating sustained demand for new facilities and regional deployments.
