Best of LinkedIn: Sustainability & Green ICT CW 22/ 23

Over the past two weeks, the Green ICT conversation shifted from abstract sustainability commitments to the hard constraints behind AI growth: energy, water, cooling, land, materials, and measurement. The strongest signal is clear: sustainable AI is becoming an infrastructure, governance, and engineering discipline, not a communications topic.

Date

June 12, 2026

Sustainability & Green ICT

Thomas Allgeyer

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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If you prefer listening, check out our podcast summarizing the most relevant insights from Sustainability & Green ICT CW 22/ 23:

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AI Infrastructure and Resource Pressure

AI’s environmental footprint dominated the discussion, with repeated emphasis on electricity demand, water consumption, cooling requirements, and carbon impact
The debate moved beyond model performance to the physical cost of every prompt, query, agent, and automated workflow
Several posts challenged the idea that digital activity is weightless, arguing that inefficient AI use creates real infrastructure demand
The strongest strategic message: not every task requires an LLM, and smarter AI routing can reduce unnecessary energy and water use
Data center growth is increasingly positioned as a climate, grid, and siting challenge, not only a technology buildout
The AI transition is also framed as a societal capability issue, requiring human infrastructure, governance, and practical literacy

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Data Centers, Cooling, Water, and Power

Data center cooling was a central theme, with closed-loop systems positioned as useful but insufficient if heat still needs to be rejected somewhere
Multiple posts challenged zero-water narratives, stressing that location matters when new facilities are built in water-stressed regions.
Water intensity was repeatedly linked to AI growth, with scrutiny on whether Big Tech offsets and agriculture water projects distract from core data center demand
Heat recovery, seawater cooling, and alternative architectures are becoming more visible as next-generation design priorities
Norway’s floating data center powered by ocean waves stood out as an infrastructure highlight, combining renewable power with seawater-based cooling
China’s operational undersea offshore data center was another notable infrastructure signal, pointing to experimentation beyond conventional facility design
Scotland’s planned “The Stoics” green AI hyperscale data centers and Crusoe’s energy-first infrastructure approach show that power sourcing is becoming a strategic differentiator
Geothermal was positioned as a clean, always-on baseload option particularly suited to data center electricity demand

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Big Tech Partnerships and Infrastructure Innovation

The most important partnership signal was the Data Center Innovation Initiative, backed by Amazon, Google, Meta, and Microsoft
Elemental Impact’s tech giant-backed initiative aims to fund and scale startups focused on making data centers more sustainable
Google joining Amazon, Meta, and Microsoft reinforced that data center sustainability is shifting from isolated corporate programs to shared ecosystem action
Microsoft’s follow-up communication suggests the initiative is becoming a strategic platform, not just a one-off announcement
The partnership theme is clear: hyperscalers are moving upstream into innovation ecosystems because AI infrastructure constraints cannot be solved by internal optimization alone

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Standards, Measurement, and Transparency

Measurement is becoming the operating system of Green ICT
The Software Water Intensity standard emerged as a major development, extending the logic of carbon-aware software toward water-aware software
Carbon metrics are moving into observability frameworks through Software Carbon Intensity, bringing sustainability closer to day-to-day engineering operations
Salesforce expanding AI model cards with standardized environmental impact metrics was a notable product and transparency move
The need for consistent data center sustainability reporting remained a recurring theme, especially around Scope 2 accounting and comparable environmental disclosures
European policy discussions focused on energy transparency, with concern over rules that could allow facility-level consumption to remain hidden
The strategic direction is clear: sustainability claims are losing value unless they are measurable, auditable, and operationally embedded

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Green Software and Eco-design move into Delivery

Green software engineering is increasingly positioned as an enterprise baseline, driven by AI energy demand and rising cloud infrastructure pressure
Practical measures remain important: deleting unused data, choosing green hosting, extending hardware lifespan, and designing leaner digital services
Green cloud computing was framed around energy-efficient data centers, workload optimization, and responsible infrastructure choices
Green Code Initiative activity stood out through its IT Night 2026 gold award and open-source eco-design tooling
The Green Code Challenge showed developer momentum, with open-source contributions and a Sonar Creedengo plugin for Android built in Kotlin
JNation highlighted that application energy can be measured at method level, while also stressing that embodied emissions must be part of the sustainability view
The emerging message: Green ICT is moving from awareness to tooling, standards, and engineering practice

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Sustainability Software and AI-enabled ESG Workflows

Sustainability teams are increasingly described as overloaded by fragmented data and manual reporting work
New AI-enabled tools are targeting carbon data structuring, quality checks, audit trails, and reporting acceleration
Report Zero was positioned as a product that turns siloed data center environmental data into accurate, audit-ready reporting
Terralyn was presented as collapsing ESG reporting into a single AI prompt with a full audit trail
Ensogo was highlighted as an AI-native sustainability management platform that moves beyond traditional carbon accounting
Razer’s use of green software and AI to compress reporting cycles shows a practical enterprise use case for faster sustainability execution
IDC’s mapping of sustainability platform gaps reinforces the shift from data collection to action-oriented systems

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Policy, skills, and ecosystem building

The VISIIRI project was highlighted as a concrete Green ICT ecosystem effort across green software, data centers, mobile networks, and ICT energy measurement
AI adoption was explicitly framed as an ESG question, with failed pilots seen as a waste of energy and resources
Futureproof AI discussions shifted from whether AI should be used to how it can be applied responsibly, sustainably, and with governance
Events such as Green IO Amsterdam, the Zurich AI sustainability clinic, Accenture’s sustainability event, and the SustainableIT Impact Summit show that Green ICT is becoming a cross-functional executive topic
The skills agenda is broadening: future capability now requires combining green literacy, AI understanding, systems thinking, and responsible implementation

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