🍭 AI’s $4.8T Problem 🪙

Good morning.
Somewhere, an intern just got automated by a spreadsheet with Wi-Fi.

Let’s dive in 👇

🍭 What’s Cookin’:

• The UN says AI could harden global inequality

• OpenClaw proves agents don’t need a Mac Mini

• Lyria 3 brings text-to-music inside Gemini

• B Gates skips India’s AI summit

Steal This Prompt
🏖️ Beach Professional Profile Picture

Turn a regular face photo into a “I’m successful, relaxed, and my inbox fears me” beach-side profile pic. Golden sunset, clean fit, editorial energy.

Use it to:

• Upgrade your LinkedIn without looking like you love LinkedIn

• Get a crisp Discord/X/Slack PFP that doesn’t scream “cropped wedding photo”

• Make a dating-app pic that says “employed” (but mysterious)

Workflow:

1. Click this link (Prompt).

2. Paste into your AI model with a face photo (required).

3. Run it + pick your best outfit (sunglasses + light linen shirt)

4. Watch it cook (instant beach photoshoot, no sand in your shoes)

   Try the prompt on Snack Prompt

AI Impact Summit
🌍 AI Is About to Make Global Inequality Worse

The Bite:

The global AI market is projected to hit $4.8 trillion in the next decade.
Roughly the size of Germany’s economy.

Nearly all of that value is being built and captured by a handful of countries and companies, according to a new UN report.

The infrastructure, data centers, chips, and models powering AI are concentrated in places like the US and China, and inside firms like Nvidia, Microsoft, Google, and OpenAI.

The warning is simple: without coordination, AI could supercharge existing structural inequality instead of narrowing it.

Snacks:

• Just a few countries dominate advanced AI research, compute power, and capital investment

• Nvidia controls the chips. US firms dominate cloud infrastructure.
  Model development is concentrated in even fewer hands

• Many developing nations lack the digital infrastructure to build or deploy AI systems at scale

• Countries in Africa and parts of Latin America risk becoming data suppliers, not AI builders

• Leaders at the summit called for shared governance, infrastructure investment, and global standards

Why it Bites:

This isn’t just a “rich vs. poor” story.
It’s about who owns the rails of the next economic system.

AI runs on compute, data centers, energy grids, and highly trained talent. If those stay clustered in a few economies, wealth generated by AI will cluster there too.

At the summit, leaders pushed for public investment in digital infrastructure, workforce reskilling, and international AI governance frameworks.

The message was coordination over competition.

Share standards. Share access.
Prevent concentration from calcifying into permanent dependency.

That’s the right direction.

But the UN has a long track record of strong language and slow follow-through.

Talks are easy.

Building fiber networks and enforcing global standards?

That’s the real test.

This cannot become another round of statements without execution.

Otherwise, the AI economy won’t level the playing field. It will harden it.

_ToolBox™
🧰 5 BRAND NEW AI LAUNCHES

🌋 Subterranean 3
Build a full production-ready web app in one place with a team of agents that stitch together your DB, backend, and UI end-to-end.

🔍 ScoutFlo
Figure out what’s breaking in production faster by auto-pulling signals from logs/metrics/APM/cloud/K8s and suggesting the most likely root cause with confidence.

🧠 Luua
Turn any thought, article, post, or YouTube video into strong LinkedIn/X posts in seconds while keeping your voice intact.

🗺️ OpenClaw Map
Browse a searchable map of OpenClaw tools so you can discover what exists, see how pieces connect, and assemble your setup without guesswork.

🎨 Brackets by Common Ninja
Launch March-Madness-style voting tournaments that drive sharing and repeat engagement, using templates or AI to build custom brackets fast.

OpenClaw & Raspberry PI
📦️ Agents Don’t Need a $1,299 Mac Mini

The Bite:

OpenClaw has a reputation problem.

Because to actually do things it needs deep access to the machine it lives on.
Things like run commands, configure systems, deploy workflows.

And when AI can hallucinate hard, handing it admin access to your critical data feels… bold.

Raspberry Pi just reframed the whole debate.

Instead of arguing that agents are unsafe, they showed something simpler:
Put the agent in its own box.

A $35 one.

Snacks:

• OpenClaw is an open-source AI agent that executes real system-level tasks.

• It’s been criticized for needing admin-level access to function properly.

• Raspberry Pi demonstrated running it on a separate Pi device instead of your main machine.

• Physical isolation = agent gets full access to that box, not your work laptop.

• A lightweight agent version called PicoClaw can run on a Pi Zero 2 W.

• Local models can run fully offline; cheaper, faster, more private.

Why it Bites:

The real innovation isn’t the demo they shown.

It’s portability.

For months, the narrative has been:
“If you want to run serious agents locally, you need a powerful machine.”

Which has quietly turned into:
“Guess I need a Mac Mini.”

Not true.

OpenClaw on a Raspberry Pi flips the script.
You don’t need a monster box. You need separation.

VPS sandbox? Fine.
Physical Pi sandbox? Also fine.

The bad move is giving a hallucinating system root access to your work laptop and every password you’ve ever saved.

This is a new mental model.

Cheap. Portable. Disposable if needed.

And PicoClaw running offline on tiny hardware?
Less “genius super-brain,” sure.

But more than enough for fast, iterative tasks and contained workflows.

Plain-English ops is already here. And it fits in your pocket.

_{Everything Else}
🧠 You Need to Know

🎶 Google Launches Lyria 3 in Gemini App
→ Google introduced Lyria 3, a new text-to-music model inside the Gemini app that generates instrumental tracks from prompts.

🤖 Turn Your Raspberry Pi Into an AI Agent
→ Raspberry Pi published a guide to run OpenClaw locally, enabling lightweight AI agents on Raspberry Pi hardware.

⚠️ Experts Sound the Alarm on AI Risks
→ Researchers and policymakers cite misinformation, job disruption, and weak regulation as major risks as AI adoption accelerates.

🧑‍⚖️ Bill Gates Pulls Out of India’s AI Summit
→ Gates won’t deliver his keynote at the India AI Impact Summit after fresh Epstein-related DOJ files sparked controversy, though he’s not accused of wrongdoing.

🌍 UN Warns AI Is Widening Global Inequality
→ A new UN report says AI could deepen economic divides unless governments invest in digital infrastructure and workforce reskilling.