Best of LinkedIn: Sustainability & Green ICT CW 44/ 45

What this episode covers

We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways. This edition focuses overwhelmingly on the environmental impact and sustainability of Information and Communications Technology (ICT), particularly the explosive growth of Artificial Intelligence (AI) and its associated data centres. A central theme is the escalating energy and water consumption of AI, with several authors highlighting the need for transparency, measurement, and Green IT practices to mitigate these effects. Discussions range from large-scale issues like the fossil fuel acceleration enabled by AI technology and the imperative for clean energy integration in data centre operations, to specific solutions such as sustainable software development, liquid cooling technologies, and resource optimization in networks and web development. Ultimately, the authors advocate for a shift from focusing only on "responsible AI" (ethics and fairness) to adopting "sustainable AI" (planetary impact) as a crucial strategic and engineering priority for the digital future. This podcast was created via Google NotebookLM.

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Frequently Asked Questions

How long is this episode of Best of LinkedIn: Digital Transformation & Tech?

This episode is 12 minutes long.

When was this Best of LinkedIn: Digital Transformation & Tech episode published?

This episode was published on November 14, 2025.

What is this episode about?

We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways. This edition focuses overwhelmingly on the environmental impact and sustainability of Information and Communications Technology (ICT),...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Best of LinkedIn: Digital Transformation & Tech episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.