Best of LinkedIn: Sustainability & Green ICT CW 48/ 49

What this episode covers

We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways. This edition offers a comprehensive overview of the intersection between digital technology and sustainability, focusing heavily on the environmental impact of Artificial Intelligence (AI) and data centres. A core theme is the urgent need to measure and reduce the rising carbon footprint of the tech sector, with several experts highlighting that AI's rapid growth is straining energy grids and requiring massive resources. The sources introduce practical frameworks like the Software Carbon Intensity (SCI) and methodologies such as FinOps and GreenOps to foster collaboration between financial and engineering teams to eliminate waste and drive efficiency. Additionally, the text details innovative solutions for sustainable infrastructure, including the use of hydrogen fuel cells, waste heat recovery, and modular designs, while also acknowledging the problem of greenwashing as companies attempt to position themselves as environmentally responsible. 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 December 12, 2025.

What is this episode about?

We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways. This edition offers a comprehensive overview of the intersection between digital technology and sustainability, focusing heavily on the...

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.