Best of LinkedIn: Sustainability & Green ICT CW 04/ 05

Green computing is positioned as a strategic requirement for growth, with carbon impact treated as a core design constraint

Efficient architectures, right sized models and careful workload design are favored over ever larger data centers

Frameworks such as Software Carbon Intensity for AI and new Green AI guides turn responsibility into measurable practice

Neuromorphic computing and other low energy approaches are highlighted as promising paths to reconcile AI scale with climate limits

Analyses of digital emissions and survey data confirm AI’s footprint is material while most organizations plan to increase AI for ESG

Energy replaces chips as the primary constraint for AI infrastructure, pushing operators to rethink power sourcing and efficiency

Posts contrast coal based expansion with regions that promote highly efficient or wooden data centers aligned with ESG expectations

Water usage emerges as a contested topic, with calls for transparency on consumption, risk and mitigation around AI facilities

Solutions such as combined heat and power concepts and adaptive microgrids show how optimization can cut costs yet still risk higher emissions

Policymakers and the public are urged to gain a clearer view of what constitutes a truly green data centre

Software Carbon Intensity scores for applications, web and AI provide a common language for measuring digital sustainability

White papers on software ecological footprint translate coding, architecture and runtime decisions into quantifiable impact

Frameworks like SOFT position digital sustainability as an organisational change journey, combining training, governance and tooling

New tools such as carbon.txt and cloud region scorecards help compliance teams and engineers make decarbonisation choices in cloud deployments

Discussions on eco friendly API platforms and visual storytelling from the Green Software Foundation bring sustainability into daily developer culture

The sustainability profession is encouraged to stay tightly linked to business relevance, outcomes and evolving corporate agendas

Leaders are advised to choose technology on long term value, resilience and durability rather than short lived excitement

Posts stress that hardware longevity must keep pace with faster software cycles to avoid undermining sustainable IT narratives

Sustainable IT procurement is framed as a powerful but underused decarbonisation lever requiring deeper supplier scrutiny and stronger criteria

Policy debates, reports on sovereign AI and sector discussions on sustainable IT show governance moving closer to core digital strategy

Partnerships such as AWS with Rio Tinto showcase how AI enabled solutions can support more sustainable industrial supply chains

Vendors in content management and professional services experiment with open, flexible AI and tools like Green Claims scanners to align innovation with sustainability

New alliances, including collaborations with specialised Green AI training providers, point to an emerging services ecosystem around sustainable AI

Research institutes, conferences, podcasts and community formats create spaces where practitioners debate AI’s environmental impact and practical mitigation

Panels and webinars on topics like healthcare IT sustainability and AI for ESG help translate high level ambitions into sector specific roadmaps