We are working on the definitive State of AI Platform Engineering report volume 1. It will gather data from our 200k strong community to understand exactly how AI is reshaping the platform engineering world.

Thanks to Google Cloud, we already know that:

“94% of organizations identify AI to be ‘Critical’ or ‘Important’ to the future of platform engineering”. At the same time, “86% believe that platform engineering is essential to realizing the full business value of AI.”

But with our community, I know we can go deeper. What AI are platform engineering teams actually using? How afraid are people really of being AI’d away?

Help us by answering the survey. All data will then be shared with the community once we’ve gathered it all.

Long time readers of this newsletter know, I’ve been a pretty outspoken AI hater in the (distant) past. Anyone who’s tried to generate a decent TF file with AI knows where I was coming from.

But I have spent the last few months going as deep as I can on AI platform engineering, talking to Ambassadors, friends, and those few AI experts I know, and recently I had the chance to see what my friend Kaspar von Grünberg is cooking up - and I realized how insanely far things have come.

In the blink of an eye, AI platform engineering has gone from novelty to groundbreaking reality.

AI’s ability to translate natural language into developer intent for self-service is truly next level. I am also seeing security, and observability use cases that are mind-boggling.

At the same time, there is an immense gap between those who don’t use AI (or worse, use it badly) and those who are using it well. Things are moving so fast, it’s hard for orgs to not drown as this AI wave washes over everything.

Our community is perfectly placed to help this. Let’s ride this tidal wave together.