Best of LinkedIn: Sustainability & Green ICT CW 14/ 15

Sustainability & Green ICT is moving from ambition to execution. The latest market signals point to a sharper focus on practical levers such as right-sized AI, carbon measurement, cooling redesign, waste-heat reuse, device life extension, and software modernization. At the same time, the discussion is becoming more strategic, with stronger attention on governance, infrastructure constraints, and the trade-off between AI growth and real environmental value.

Date

April 17, 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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Green AI Efficiency

AI sustainability shifted from general ambition to execution, with stronger focus on smaller models, efficient inference, better prompting, and selective deployment in high-impact use cases
The discussion moved toward design discipline, where efficiency is shaped by model choice, workload placement, hosting setup, and continuous optimization rather than headline model size
Business value became a sharper filter, with growing emphasis on deploying AI where it improves grids, agriculture, industrial processes, or biodiversity outcomes instead of scaling usage indiscriminately
Leadership emerged as a key differentiator, as sustainability outcomes increasingly depend on what enterprises choose to optimize across cost, performance, and environmental impact

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Sustainable Data Center Infrastructure

Data center sustainability became a full infrastructure redesign topic, combining cooling, power sourcing, site strategy, waste-heat reuse, and grid resilience into one operating agenda
Cooling moved to the center, with liquid cooling, warm-water systems, hybrid architectures, and advanced HVAC seen as critical for AI-scale compute environments
Waste-heat recovery gained practical relevance, showing that data centers are being positioned not only as compute assets but also as part of local energy ecosystems
Infrastructure constraints became more visible, especially around electricity demand, water intensity, and heat effects, pushing operators toward more efficient and location-sensitive models

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Carbon Measurement & Standards

Carbon accounting is becoming more operational, with stronger attention on measuring software emissions, AI inference impact, and workload-level energy performance
Standards and tools are gaining traction, helping enterprises move from broad sustainability claims toward comparable metrics and more structured reporting
The link between software carbon measurement and compliance is strengthening, as reporting expectations increasingly influence procurement, governance, and enterprise accountability
The wider ecosystem is maturing from awareness to implementation, with more focus on practical measurement methods, data quality, and management action

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Circular IT & Asset Life Extension

Circularity re-emerged as a pragmatic sustainability lever, especially through extending hardware life and reducing the need for new device production
The selected content reinforced that a large share of IT emissions sits upstream, making reuse, refurbishment, and life extension highly credible near-term actions
Software modernization was framed as part of the same logic, with incremental improvement positioned as more resource-efficient than rebuilding systems from scratch
Product initiatives around repurposing aging devices signaled that circular IT is shifting from concept to usable commercial offer

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Governance & Enterprise Accountability

Sustainability and Green ICT are moving closer to core enterprise governance, with stronger links to technology strategy, finance, risk, and infrastructure planning
Decision-making is broadening beyond sustainability teams alone, as AI expansion raises questions around energy demand, reporting readiness, and long-term operating efficiency
Policy discussions became sharper, with rising pressure for clearer standards and more enforceable expectations in Green AI and data center sustainability
The debate also became more critical, with stronger scrutiny on whether current strategies address sovereignty, software efficiency, grid pressure, and real environmental trade-offs

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Launches & Strategic Moves

New market activity centered on efficient AI tools, lower-carbon infrastructure, and circular device solutions rather than broad sustainability branding alone
Product and platform launches showed a stronger preference for privacy-aware, energy-efficient, and purpose-built solutions instead of generic scale-first approaches
Partnerships increasingly linked AI growth with infrastructure readiness, clean energy, water stewardship, and operational efficiency, showing a more integrated sustainability narrative
The strongest commercial signals came from offers that combine measurable efficiency gains with usable enterprise applications, rather than standalone environmental messaging

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Market Direction

Sustainability & Green ICT moved beyond narrative and is now being treated as an operating model question across AI, software, infrastructure, and reporting
The most credible signals came from practical levers such as right-sized AI, carbon measurement, efficient cooling, waste-heat reuse, and hardware life extension
Competitive advantage is likely to come from integrating these levers into one coherent technology and operations model rather than addressing them in isolation
The market is increasingly rewarding solutions that combine environmental discipline with performance, resilience, and business relevance

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