Good morning ☀️, leader of the next generation.

We will talk about agents. AI agents.

They will change the way how we do business, how we interract and even how we do our everyday lives.

Agents will build business.

Agents will organize your day.

Agents will fill up your fridge.

I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...

⚡ WHAT'S AT STAKE TODAY ⚡

1. 🤖💰 In another wild turn for AI chips, Meta signs deal for millions of Amazon AI CPUs
2. 🗣️🤖 Nothing introduces an AI-powered dictation tool
3. 💻📈 Marked-up Mac minis flood eBay amid shortages driven by AI
4. 🍎👋 Tim Cook is stepping down. What happens to Apple now?
5. 🎨💸 ComfyUI hits $500M valuation as creators seek more control over AI-generated media
6. 📉📈 Meta's loss is Thinking Machines' gain
7. 🤝🔄 Why Cohere is merging with Aleph Alpha
8. 🙏💬 OpenAI CEO apologizes to Tumbler Ridge community
9. 💰🤖 Google to invest up to $40B in Anthropic in cash and compute

Meta partners with Amazon for millions of AI CPUs

In another wild turn for AI chips, Meta signs deal for millions of Amazon AI CPUs

Amazon has secured a significant victory in the AI chip race, announcing that Meta has signed a deal to utilize millions of AWS Graviton chips for its expanding artificial intelligence operations. This partnership marks another strategic win for Amazon's homegrown semiconductor technology.

The AWS Graviton represents a departure from traditional AI infrastructure, as it's an ARM-based CPU (central processing unit) rather than a GPU (graphics processing unit). While GPUs remain the standard for training large AI models, the landscape is shifting as AI agents create new computational demands.

These AI agents generate intensive workloads including real-time reasoning, code generation, search operations, and complex multi-step task coordination. Amazon's latest Graviton iteration was specifically engineered to handle these AI-centric computational requirements, positioning it as a specialized solution for post-training AI operations.

This deal strategically redirects Meta's spending back to AWS, countering the social media giant's previous diversification efforts. In August, Meta committed to a substantial six-year, $10 billion agreement with Google Cloud, shifting away from its historical reliance on AWS and Microsoft Azure. Amazon's announcement timing, coinciding with the conclusion of Google Cloud Next conference, appeared deliberately competitive.

The chip competition intensifies as Google simultaneously unveiled new versions of its custom AI processors at the same event. Amazon isn't relying solely on Graviton for AI workloads – the company also produces Trainium, its AI GPU designed for both model training and inference operations.

However, Anthropic has already secured significant access to Trainium chips through a massive partnership announced earlier this month. The Claude AI developer committed $100 billion over a decade to AWS services, with particular emphasis on Trainium utilization. In return, Amazon invested an additional $5 billion in Anthropic, bringing its total investment to $13 billion.

For Amazon, the Meta partnership serves as a crucial validation of its CPU technology, demonstrating that major AI companies trust its homegrown processors. This positions Graviton as a direct competitor to Nvidia's new Vera CPU, which shares the ARM-based architecture and targets AI agent workloads.

The key distinction lies in distribution models: Nvidia sells chips and AI systems directly to enterprises and cloud providers, including AWS itself. Amazon exclusively offers access to its processors through its cloud platform, creating a more controlled ecosystem.

Amazon CEO Andy Jassy recently challenged industry leaders Nvidia and Intel in his annual shareholder letter, arguing that enterprises demand superior price-performance ratios for AI infrastructure. He positioned Amazon to win contracts based on this value proposition, significantly raising stakes for the company's internal chip development team.

This pressure intensifies the spotlight on Amazon's semiconductor engineers, who must deliver competitive performance to justify the company's substantial investment in custom silicon. The team's work becomes increasingly critical as Amazon positions itself against established chip giants.

The Meta deal represents more than a simple procurement agreement – it signals a broader shift in AI infrastructure requirements. As companies move from model training to deployment and agent-based applications, the computational demands evolve, creating opportunities for specialized processors like Graviton.

This partnership reinforces Amazon's strategy of vertical integration in the AI stack, from custom chips to cloud services, positioning the company to capture more value from the AI boom while reducing dependence on external semiconductor suppliers.

Nothing launches Essential Voice dictation tool for smartphones

Nothing introduces an AI-powered dictation tool

Hardware company Nothing has launched Essential Voice, an AI-powered dictation tool that competes with existing apps like Wispr Flow and Superwhisper. The feature converts speech to formatted text across any app, removing filler words and allowing custom voice shortcuts for addresses, links, and templates.

Available now on Phone (3) with Phone (4a) Pro support coming later this month, users can access it via the Essential key or keyboard. The tool supports over 100 languages for translation and will soon offer app-based custom styling for different contexts like work and messaging.

🎙️ The Supercharged Podcast Is Growing

Real Conversations with the People Building the AI Future

The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.

Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it’s truly changing the way work gets done.

From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.

Google commits $40B investment in Anthropic amid AI compute competition.

⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?

AI has potential — but generic advice rarely helps.

What would be genuinely valuable for AI to do in your industry right now?

• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?

Tell us what you’d want AI to handle — or where you feel stuck.

We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.