Best of LinkedIn: Sustainability & Green ICT CW 12/ 13

Green ICT is moving into a more operational phase, where credibility depends on measurable infrastructure efficiency, better sustainability data, circular hardware models, and stronger AI governance. The clearest momentum sits where sustainability is directly linked to cost, resilience, engineering discipline, and procurement decisions.

Date

April 6, 2026

Sustainability & Green ICT

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

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Sustainability Data, Reporting & Decision Intelligence

Sustainability data moved closer to core enterprise operations, with reporting increasingly embedded into system landscapes rather than managed as a separate compliance exercise
Microsoft Sustainability Manager and similar approaches signalled demand for more integrated data capture, workflow automation, and operational visibility across emissions management
Weak carbon accounting practices, especially spend based methods, came under pressure as activity based data gained relevance for finance, engineering, and procurement decisions
AI emerged as a practical enabler for reporting automation and faster decarbonisation analysis, especially where ESG data handling remains fragmented and slow

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Data Centers, Cloud & Resource Efficient Infrastructure

Cloud and data center discussions expanded beyond carbon efficiency toward water use, heat recovery, grid interaction, and broader infrastructure externalities
Several market signals framed cloud as a structural sustainability lever through higher utilization, lower idle capacity, and improved transparency versus oversized on premises environments
AI infrastructure came under sharper scrutiny as water demand, local environmental pressure, and power intensity became more visible in public discussion
Google’s demand response activity highlighted a more active infrastructure role, where digital capacity can support grid balancing instead of only increasing power demand

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Green Software, Engineering & Measurement Tools

Green software matured from conceptual discussion into a more operational field shaped by tools, standards, and developer-level interventions
The selected content highlighted real time measurement, coding related emissions visibility, and improved methods for assessing the sustainability performance of digital services and websites
The Software Carbon Intensity approach stood out as an important bridge between software engineering decisions and wider enterprise sustainability requirements
The strongest signal was practical. Lower impact software increasingly depends on leaner architecture, better deployment choices, and disciplined engineering rather than isolated reporting metrics

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AI Sustainability, Governance & Responsible Scale

AI sustainability discussions became more critical, with several contributions questioning broad claims that AI automatically creates positive climate outcomes
Transparency remained a central gap, especially around model energy use, training intensity, and the lack of meaningful disclosure at the point of deployment
Efficiency alone was not treated as sufficient, as rebound effects, rising usage volumes, and unclear model categorisation weakened simple sustainability narratives
Governance frameworks gained importance, with stronger interest in standards, decision discipline, and bounded use cases where AI value and environmental trade offs can be assessed more credibly

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Circular IT, Reuse & Lifecycle Value Creation

Circularity emerged as one of the clearest execution themes, with refurbishment, reuse, and secure IT asset disposition positioned as practical levers for sustainable ICT
Hardware lifecycle extension was framed not only as a waste reduction tool, but also as a way to combine environmental benefit with cost control, security, and social impact
Google’s circular economy updates showed that reuse and component recovery are moving into large scale infrastructure operating models
Recognition for circular IT players and device collection initiatives reinforced that circular hardware strategies are gaining stronger institutional and ecosystem support

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Partnerships, Product Launches & Market Momentum

New partnerships pointed to a more concrete market, especially where sustainable AI, infrastructure efficiency, and delivery capabilities were combined into practical joint offers
Ecolab’s CoolIT acquisition underlined the strategic importance of liquid cooling as AI infrastructure scales and thermal management becomes a critical sustainability issue
AWS expanded its sustainability positioning through water stewardship, signalling a broader resource management narrative beyond carbon reduction alone
Policy, procurement, and community led tools also strengthened the market, showing that sustainability choices in ICT are increasingly shaped by standards, public criteria, and open ecosystem momentum

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From ESG Narrative to Sustainability Operating Model

The strongest themes showed that Sustainability & Green ICT is shifting from high level messaging toward measurable execution across infrastructure, software, procurement, and governance
Credibility now depends less on broad ambition statements and more on evidence based design choices, transparent data, and disciplined operating models
Circularity, green software, and infrastructure efficiency appeared as the most tangible levers because they connect sustainability directly with cost, resilience, and operational performance
AI remained the most contested area, where future leadership will depend on transparency, bounded application logic, and proof that value creation outweighs resource intensity

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