Best of LinkedIn: Sustainability & Green ICT CW 24/25 2026

Green ICT is moving from awareness to execution. AI growth is pushing enterprises to manage energy, water, infrastructure, software efficiency and reporting with greater discipline. The clear market signal is a shift from sustainability claims toward measurable controls, engineering choices and accountable governance.

Date

June 26, 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!

Listen to our podcast

If you prefer listening, check out our podcast summarizing the most relevant insights from Sustainability & Green ICT CW 24/ 25:

Green AI Operations

Enterprises moved from broad Green AI discussions toward practical control of model choice, token use, workload placement and runtime efficiency
Lean agentic AI, specialized models and open-weight deployment gained traction as alternatives to default frontier-model usage
Carbon-aware scheduling and regional workload placement emerged as practical levers for lowering AI infrastructure impact
GreenOps and FinOps converged as AI usage increased cost pressure, emissions exposure and governance complexity

‍

AI Infrastructure Pressure

Data center growth highlighted power availability as a strategic bottleneck for scaling AI capacity
Grid access, land use, water consumption and backup power became more visible constraints in AI infrastructure planning
Local resistance and policy moves showed that data center expansion increasingly depends on community acceptance
Infrastructure decisions shifted from pure capacity planning toward broader trade-offs across carbon, water, jobs and tax value

‍

Cooling & Water Innovation

Cooling innovation accelerated across liquid cooling, immersion systems, zero-water-loss chillers and smarter operating parameters
Water efficiency became a more prominent ICT metric alongside energy and carbon performance
Freshwater-free immersion cooling and zero-water-loss infrastructure signalled stronger demand for resource-efficient AI operations
New approaches such as wooden, underwater and alternative-powered data centers showed broader experimentation in sustainable infrastructure

‍

Green ICT Products

GreenPT launched free search, OCR and scraping access through an API on European renewable infrastructure
Terralyn demonstrated prompt-built Scope 3 Monte Carlo simulation, showing more flexible ESG tooling potential
Carbon.Crane translated digital carbon into website-level audits and concrete page optimization actions
XNRGY and Infinium-related cooling initiatives pointed to growing commercialization of sustainable data center technologies

‍

Standards & Measurement

AI environmental transparency moved higher on the governance agenda across energy, water, land and lifecycle impact
Green Software Foundation activity expanded the measurement discussion beyond carbon toward energy, water and waste
Lifecycle-based infrastructure assessments gained relevance for evaluating the real impact of cloud and ICT decisions
Use-case-specific measurement approaches emerged in areas such as AI video generation and healthcare machine learning

‍

Sustainable Software

Cloud modernization was increasingly framed through sustainability, cost efficiency, architecture and operating-model discipline
SAP HANA optimization, VM reduction and autoscaling showed that carbon reduction often aligns with utilization gains
Green coding moved from principles into practical workflows, including GitHub Actions optimization and AI-assisted eco-design
Website sustainability audits exposed avoidable digital waste in JavaScript, hosting, page weight and load performance

‍

Green ICT Communities

Green IO Amsterdam, Green IO Munich and Green IO DACH reflected a stronger move toward industrialized IT sustainability
GreenOps, procurement, hardware lifecycle, sustainable UX and sovereign cloud became part of one operating agenda
Developer communities advanced reusable green coding practices through challenges, templates and local learning formats
Green skills became more relevant as AI fluency and sustainability capability increasingly overlapped

‍

Enterprise Implications

Green ICT is becoming a core topic for infrastructure strategy, cost control, risk management and AI governance
Enterprises should manage model choice, token usage, workload placement, cooling design and vendor credentials as formal controls
Sustainability claims will increasingly require lifecycle evidence, recurring verification and local stakeholder credibility
The next maturity step is industrialization across engineering, procurement, cloud operations and AI governance

‍

Subscribe to newsletter

Subscribe to receive the latest blog posts to your inbox every week.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Frequently asked questions

How are companies cutting the footprint of AI?

By treating AI efficiency as an operational control. Enterprises now manage model choice, token use, workload placement and runtime efficiency. Lean agentic AI, specialised models and open-weight deployment are gaining ground over default frontier models, and carbon-aware scheduling moves workloads to cleaner regions.

What limits data center growth for AI?

Power availability first, then grid access, land, water and backup power. Local resistance and policy moves show that expansion now depends on community acceptance. Infrastructure decisions increasingly weigh carbon, water, jobs and tax value rather than capacity alone.

Which Green ICT tools launched recently?

GreenPT launched free search, OCR and scraping access through an API on European renewable infrastructure. Terralyn showed a prompt-built Scope 3 Monte Carlo simulation, and Carbon.Crane turns digital carbon into website-level audits with concrete page fixes. XNRGY pointed to commercial sustainable cooling.