Daily Reading List – March 12, 2026 (#740)
It was a day. But we had a fun read-through of our Google Cloud Next developer keynote. I’m excited to see many of you in person soon!
[article] AI productivity gains are 10%, not 10x (https://newsletter.getdx.com/p/ai-productivity-gains-are-10-not). We’ve said the same thing publicly. There are tasks that have 3x or 10x productivity gains, but it’s not uniform across the whole day or entire value stream.
[article] CEOs think AI use is mandatory — but employees don’t agree, survey says (https://www.hrdive.com/news/ceos-think-ai-use-is-mandatory-but-employees-dont-agree/814279/). This story posts about the disconnect between execs and employees, but notice the blurb about middle managers. You don’t win that tier over, every initiative tends to die.
[article] Pity the developers who resist agentic coding (https://www.infoworld.com/article/4143101/pity-the-developers-who-resist-agentic-coding.html). I wouldn’t use the word pity at this point. This article points out that devs are missing the thrill of really building at the speed of thought.
[blog] Cloud CISO Perspectives: New Threat Horizons report highlights current cloud threats (https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-new-threat-horizons-report-highlights-current-cloud-threats/). Even if the threats themselves don’t change (they do), notice how bad actors seamlessly switch to the ones getting less attention.
[blog] Introducing Replit Agent 4: Built for Creativity (https://blog.replit.com/introducing-agent-4-built-for-creativity). How we work changed. Stop fighting it. Tools like Replit do a great job of showing what the future looks like.
[blog] What you need to know about the Gemini Embedding 2 model (https://medium.com/google-cloud/what-you-need-to-know-about-the-gemini-embedding-2-model-c7721a89a067). This is new, but not getting the attention it deserves. This new embeddings model makes life much easier for those with a mix of data.
[blog] Human Insight, Amplified: How Forrester Is Reinventing Research For The AI Era (https://www.forrester.com/blogs/human-insight-amplified-how-forrester-is-reinventing-research-for-the-ai-era/). This seems like a good idea. Analyst firms need to rethink their research approach, and distribution. This addresses the latter.
[blog] Protecting cities with AI-driven flash flood forecasting (https://research.google/blog/protecting-cities-with-ai-driven-flash-flood-forecasting/). Great work from Microsoft Research to make this capability available to local communities.
[blog[ 5 design skills to sharpen in the AI era (https://www.figma.com/blog/skills-for-the-ai-era/). From Figma, this seems like a useful list of areas to focus on.
[blog] Inference on GKE Private Clusters (https://medium.com/google-cloud/inference-on-gke-private-clusters-70a23cc9c315). Good use case! Can a Kubernetes cluster with no internet access still do AI inference? Yes, yes it can.
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