Welcome to your weekly Brew & AI
Each week, I’ll share how to make sense of AI - no jargon, no hype, just simple insights you can actually use.
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Grab your coffee - let’s dive in. 👇
☕ AI in the news
OpenAI just pulled off the largest private funding round in history
OpenAI has secured $110 billion in new funding at a $730 billion pre‑money valuation (about 840 billion post‑money), making it the biggest private financing ever for a tech company.
Amazon is investing $50 billion, while Nvidia and SoftBank are each putting in 30 billion, with the round still open for additional investors.
The money will go into a massive build‑out of compute and data center infrastructure so OpenAI can keep scaling frontier models and push ChatGPT‑style tools deeper into everyday products across consumer and enterprise.
Big Tech to pour $650B into AI build‑out this year
Alphabet, Amazon, Meta, and Microsoft are collectively expected to invest around $650 billion in AI-related spending in 2026, spanning data centers, chips, and model development.
This level of capex turns AI from an experimental side bet into the main engine of Big Tech infrastructure, with knock-on effects for chip demand, cloud prices, and how quickly new AI capabilities reach end users
Trump administration pushes AI giants to “power themselves”
President Donald Trump is set to host Amazon, Google, Microsoft, xAI, Oracle, and OpenAI at the White House to sign a pledge that new AI data centers will build, buy, or bring their own power supply instead of relying on the public grid.
The move is meant to contain the impact of exploding AI energy demand on consumer electricity prices and marks one of the clearest examples yet of governments directly intervening in how AI infrastructure is powered
☕ Trending on social
In What’s Trending on Social, I’ll surface the most interesting AI takes, memes, debates, and hot posts bubbling up across X, LinkedIn, and beyond - so you don’t have to doomscroll to stay in the loop.
💸 Sam Altman’s deadpan announcement that “we have raised a 110 billion dollar round of funding from Amazon, NVIDIA, and SoftBank” has itself become a viral post, with replies ranging from “this is the new central bank” to memes about every portfolio now being implicitly long OpenAI. One popular thread breaks it down as “the biggest funding round in tech history casually dropped in a two‑line tweet,” which people are screenshotting as the image of this phase of the AI boom.
✍ A viral LinkedIn post this week calls out the most overused 2026 brag: “I replaced my entire team with AI and 10x’d revenue.” The author breaks down how most of these stories are really “I automated one task,” and shares data showing that obvious AI‑written humble‑brags now get far less saves and shares than honest, specific posts about how people actually use AI at work.
🤳 On Instagram, lifestyle and creator accounts are leaning into a mini‑trend of poking fun at AI overload - posting carousels titled things like “AI this AI that, here’s what my past week looked like,” mixing normal life photos with subtle AI references. It’s a small but telling shift: instead of flexing AI tools, people are using “AI” as ambient background noise and focusing the content back on human routines, travel, and work.
☕ AI workflow of the week
Each week, I’ll spotlight one simple, battle‑tested way to plug AI into your actual work - not just a prompt, but the mini‑workflow around it. Think of it as a copy‑paste system you can run in 10–15 minutes to save yourself an hour.
Turn scattered links into a smart reading queue
You know how we all dump links into Notes/Twitter/DMs and never read them? This workflow turns that chaos into a prioritized, AI‑curated reading list for the week.
Problem: “I save 10+ AI/productivity/tech links a week and never know which ones to actually read.”
Tools: ChatGPT/Claude + your notes app / browser history
How to run it (10–15 minutes):
1. Paste in 5–15 links you’ve saved (tweets, blog posts, reports, YouTube, etc.).
2. Ask AI to extract: topic, depth (snackable vs deep dive), estimated reading time, and who it’s most useful for (IC, manager, founder, etc.).
3. Have it sort them into a “Read this week / Save for later / Probably skip” list, with 1–2 sentence summaries you can drop straight into your Weekly Reads.☕ Try this out - prompts
Here, I’ll share some interesting prompts that I’ve either used myself or come across on social media.
This week - An older viral prompt that’s making the rounds again in LinkedIn screenshots and Reddit comments is a simple self‑reflection question that leverages chat history/memory. It works especially well for Plus users or anyone who’s been chatting with one model for a while.
Let me know how this works out for you.
“From all of our interactions so far, what is one thing you can tell me about myself that I may not know about myself yet? Be specific, honest, and explain what in our conversations led you to that conclusion.”☕ Weekly Reads
Each week in Weekly Reads, I’ll share a short list of the most insightful, no‑nonsense AI articles I’ve found across the internet - pieces that explain what’s happening, why it matters, and how you can actually use it.
☕ Resources
If you missed my writing, here’s everything I’ve done - bite‑sized, practical, and very AI‑obsessed. Think of this as the “in case you blinked” shelf for my recent posts, threads, and experiments.
✍ Blogs - In-depth articles and insights to expand your AI knowledge
🛠 Tools - Discover powerful AI tools to enhance your workflow
💭 Tips - Practical tips and tricks to make your AI journey smoother
💛 P.S.
That’s it for this week’s brew.
I’d love to hear what you think - what you liked, what could be better, or what you’d love to see next.
Just hit reply - I read every message over my morning coffee ☕.
Brew & AI
Making AI simple, one sip at a time