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- 🥇 AI Top 100 Revealed
🥇 AI Top 100 Revealed
Meta Kidnaps the AI Social Kings FR, Wait...

The billions spent on AI are just crumbs, Jensen Huang is looking at a trillion-dollar "5-layer cake" for the future. Plus, the new a16z rankings are out, look at GPT’s crown.
What's on FIRE 🔥
IN PARTNERSHIP WITH TAVUS
PALs are AI companions with real faces, real voices, and real personalities. You can text them, call them, or sit with them face-to-face.
→ They remember what you tell them, pick up on how you're feeling, and check in on you before you think to ask.
Each PAL is different. Some are sharp and funny. Some are steady and calm. All of them grow with you over time. Your PAL on Day 1 is a stranger. Your PAL on Day 100 knows your humor, your patterns, and what you need before you say it.
AI INSIGHTS
VC giant Andreessen Horowitz (a16z) just released the 6th edition of its Consumer AI Top 100, one of the clearest snapshots of real-world AI adoption. While ChatGPT still dominates, the competition is starting to catch up.
Claude and Gemini paid subscriptions grew over 200% last year.
ChatGPT now has more than 900 million weekly users.
One major change in this year’s list is that AI-enhanced apps were included for the first time. These are traditional apps that added powerful AI features, such as: Canva, CapCut, Notion, Grammarly, and others.
Another fascinating insight from the report: The global AI market is fracturing into 3 separate ecosystems: Western, Chinese, and Russian:
Manus (#44) and (#47) Genspark making the cut, while OpenClaw is absent due to the report’s time frame.
a16z’s Consumer AI rankings have become one of the best indicators of where real AI adoption is heading. Unlike hyped announcements, it focuses on real usage trends.
The biggest long-term trend may not be standalone AI apps. It may be AI features embedded into existing platforms.
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Stay ahead of the curve with these top strategies AI helped develop for marketers, built for real-world results.
AI SOURCES FROM AI FIRE
1. If You Only Use ONE AI, Watch This First to Stop All Average Results! How to match the right AI to the right task, for natural writing, or messy PDFs/ live trend research.
2. ChatGPT vs. Claude vs. Gemini vs. Grok vs. Perplexity: Tips to Make Use of Each One! In this guide, I break down their real strengths so you can pick the one that actually fits your workflow.
3. This ChatGPT Prompt Can Secretly Make Your First $1 Online in 60 Seconds. Most people never make a cent on the web. But one simple AI prompt can help you earn your first $1 in under a minute. See how it works and why beginners are using it to start fast.
4. 100% Free AI Prompt Expander Triggers Your Best Prompts & 10x Your Results Instantly! How to turn your expertise into a simple system that instantly inserts your best AI prompts anywhere you type!
Imagine generating a high-stakes investor deck or a polished client pitch, without using PowerPoint templates or Canva layouts!?
In this live workshop, you’ll learn how to use the world’s most powerful "Agentic" tools to build slides that actually sell: Gamma AI, Kimi K2.5, Manus AI, NotebookLM!
You’ll walk away with a designer-level deck built entirely on free-tier plans.
💡 Turn raw ideas into a polished presentation (live demo)
🧠 Use AI to generate structure and insights
🎨 Generate slides that look professionally designed
⚡ Compare all the top AI presentation tools
💡 If you have an upcoming pitch or a specific topic you're working on, have your research links or PDFs ready. I might pick one from the chat to build live during the workshop!
As promised, here are all the prompts, notes, and the ready-to-use n8n workflow from our previous workshop.
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TODAY IN AI
AI HIGHLIGHTS
🤯 Here’s a site tracking 5,700+ failed startups. But many of them might actually work today with AI. It’s a surprisingly rich playbook of ideas waiting to be revived.
🤓 OpenAI added interactive math & science tools to ChatGPT. You can tweak & watch graphs change in real time. It already covers 70+ concepts. See it in action.
⚠️ Fake AI visuals about the Iran war are spreading everywhere on X right now. Grok tried verifying a missile video, then posted an AI-generated image to “prove” it!?
🤯 xAI got approval to power its giant AI datacenter in Mississippi. Residents say it may be one of the region’s biggest polluters. Yet the backlash is getting intense.
⚡ OpenAI co-founder’s Thinking Machines Lab signed a massive Nvidia compute deal to run 1 gigawatt of AI compute starting 2027. Nvidia is also investing.
🤖 Meta just acquired Moltbook, a viral social network built for AI agents. Now its founders are joining Meta’s superintelligence team. Curious where this leads?
💰 Big AI Fundraising: Yann LeCun’s startup AMI raised $1.03B at a $3.5B valuation to build AI that can reason, plan, and understand the real world, moving beyond today’s prediction-based models.
NEW EMPOWERED AI TOOLS
🌍 Vozo translates text in your videos without recreating visuals. Turn slide videos into multilingual versions and reach a global audience.
📊 Chronicle 2.0 is your AI design partner for presentations. Turn notes, prompts, or existing decks into beautiful, on-brand slides in minutes.
🔥 sitefire.ai agents analyze what content drives citations, write brand-aware articles, and provide tailor-made outreach suggestions.
🎙️ Fish Audio S2 generates lifelike voices that capture emotion, rhythm, and nuance with remarkable realism from just 10 seconds of audio.
AI BREAKTHROUGH
In a rare long blog post, Huang argued that the massive wave of AI infrastructure people talk about today is just the beginning. The hundreds of billions already spent on AI hardware, data centers, and compute?
→ That’s only the early stage of a buildout he believes will require trillions of dollars more. In Huang’s words, AI is becoming core infrastructure, like electricity or the internet.
And if that’s true, then the current AI boom is more like building the power grid of the digital economy. He also explained AI through what he calls a five-layer stack:
Energy → Power plants and electricity
Chips → GPUs and AI processors
Infrastructure → Data centers and networking
Models → Large AI models and training systems
Applications → Chatbots, copilots, AI tools
Every AI product people use relies on all the layers below it. If demand grows at the top (applications), it pulls demand through every layer of the stack. All the way down to electricity. And expansion tends to increase hiring, especially in new roles.
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The AI Fire Team







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