Circular IT And Factual ESG Data Are Becoming Architecture Decisions

· Source: Featured Blogs - Forrester · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

IT is a rapidly growing contributor to global CO₂ emissions, driven by expanding digital estates, accelerating AI investments, and increasing data center demand. This trend is fundamentally reshaping enterprise architecture (EA), which now must optimize for measurable sustainability and credible environmental, social, and governance (ESG) data, in addition to traditional concerns like cost and performance. Two key shifts are emerging: circularity is becoming a structural requirement for IT infrastructure, moving beyond mere vendor messaging to direct integration into ordering and contracts, with refurbished equipment now matching new in performance and warranty. Concurrently, ESG transparency is shifting from high-level claims to quantified, auditable data at the asset, site, and project levels, requiring operational systems designed to measure and expose environmental impact for regulatory reporting and Scope 3 disclosures.

Key takeaway

For CTOs and VPs of Engineering tasked with IT strategy, your enterprise architecture must now explicitly integrate circularity and auditable ESG data. Prioritize designing hardware lifecycles and data center policies for reuse and refurbishment, and ensure operational systems are built to generate project-level environmental metrics. This proactive architectural shift will enable compliance and enhance organizational credibility.

Key insights

Enterprise architecture must now embed circularity and verifiable ESG data as core design constraints.

Principles

Method

Integrate circularity into hardware lifecycles, refresh policies, data center design, and supplier standards. Design operational systems to measure, track, and expose environmental impact for auditable ESG data.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, IT Professional, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.