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Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: Meta is putting AGI at the heart of its future, and building the infrastructure to match.
🔧 AI Tool Of The Week: Base44 turns plain-language ideas into live, working apps in minutes.
🌟 Creator Spotlight: Marwan Abdealrhman shares why formatting is the secret weapon behind high-performing AI copy.
💬 AI Use Case Of The Week: Delta Air Lines teamed up with NVIDIA to turn real-time AI insights into $30M in campaign sales.
🎥 YouTube Resource Of The Week: A breakdown of the Base 44’s strengths, quirks, and use cases you should know.
Meta’s Vision To Bring Superintelligence To Everyone
Are They Really That Close To AGI?
Mark Zuckerberg thinks Meta could be just a few years away from something once considered science fiction: artificial superintelligence. He’s not talking about better chatbots or productivity tools. He’s talking about building AI that can reason, plan, and solve problems at a level that outpaces humans across most tasks. And he’s putting that goal front and center.
What he's describing is artificial general intelligence - AI that doesn’t just generate text or summarise documents, but can operate across a wide range of real-world situations with human-level (or higher) performance. According to Zuckerberg, Meta’s internal models are already showing signs of self-improvement, and the company believes it's on track to take the next leap.
They’re certainly spending like they believe it. Meta is investing billions of dollars into GPUs, custom chips, and new AI-focused data centers. Llama 3, the latest version of Meta’s open-weight language model, is already out in the wild. Larger, more advanced versions are in the pipeline, though it’s not yet clear how open those future models will be. Meta has hinted that safety concerns might mean keeping the most powerful ones in-house.
Zuckerberg’s vision goes beyond raw model performance. He’s betting on “embodied AI agents” - digital assistants that can help people navigate tasks, make decisions, and interact with the world through apps like WhatsApp, Messenger, Instagram, or even Meta’s smart glasses. These agents wouldn’t just respond to questions. They’d understand context, follow goals, and take action.
There’s still a lot of debate about what “superintelligence” actually means, and whether anyone is close to building it. Many experts are skeptical about Meta’s timeline. And some are wary of the idea that one of the world’s largest tech companies could control systems that powerful with limited oversight or public accountability.
But what’s clear is that Meta isn’t just experimenting with AI. It’s putting artificial general intelligence at the center of its strategy. That shift, whether it delivers on the superintelligence promise or not, signals a very different future for the company—and possibly for the internet itself.
🧠 Google launches Deep Think in Gemini app for enhanced problem-solving with advanced AI techniques - Google’s new “Deep Think” feature allows Gemini users to break down and solve complex, multi-step problems with structured reasoning directly inside the app.
📉 Microsoft Identifies Jobs Most at Risk of AI Replacement in New Report - Microsoft’s latest report reveals which roles across sectors face the greatest disruption from AI, highlighting trends in task automation and workforce vulnerability.
🏢 Enterprises prefer Anthropic’s AI models over anyone else’s, including OpenAI’s - New enterprise survey data shows growing preference for Anthropic’s Claude models, largely due to their reliability, ease of integration, and strong performance in sensitive use cases.
🎬 Google’s Veo 3 AI video creation tools are now widely available - Google is opening access to its Veo 3 AI tools, enabling high-quality, text-to-video creation with better scene control, character continuity, and cinematic output.
🎯 The Artificially Intelligent Enterprise - Should You Train Your AI Model?
💡 AI CIO - Polymorphism of AI Agents
📻 AI Confidential Podcast - Confidential Computing Summit 2025 Day 2 Recap & Interviews
Instant Apps from Plain Language Prompts With Base 44
If you’ve ever wanted to launch a web or mobile app without hiring a dev team or wrestling with integrations, Base44 is built for you. Designed for non-technical users, it translates plain-language instructions into fully functional, production-ready applications; frontend, backend, auth, database, hosting - without writing a single line of code.
Why It’s Gaining Traction
Created by a solo founder in just six months, Base44 reached hundreds of thousands of users and profitable revenue before being acquired by Wix for ~$80 million in June 2025.
Its “vibe coding” chat interface removes all setup friction - everything occurs within the platform, with no external integration required.
Base44 is perfect for launching campaign-specific tools without waiting on engineering. Want a lead gen portal, custom onboarding flow, or client dashboard? Just describe it, and Base44 builds and deploys the whole thing.
It’s especially useful for growth teams, product marketers, or solopreneurs who need to move fast—think event microsites, product demo hubs, or gated content experiences spun up in a single session.
Key AI Features
Natural Language to App: Describe the app you want—user roles, data flows, interface elements, and Base44 handles the build.
Chat-Based Refinement: After initial generation, refine your UI, logic, or integrations through conversation and deploy instantly.
All-in-One Stack: Your app includes authentication, database, APIs, UI, and hosting - no need for external tools or setup.
Code Access & Export (Paid Tiers): View and export full code, and customise once generated. Everything you build is fully your own.
Instant Deployment: One-click live deployment with built-in hosting and domain setup; your app is live within minutes
MARWAN ABDEALRHMAN - Quick, clear tips on designing AI-powered writing that doesn’t just get seen, but gets remembered.
Delta Air Lines Uses AI to Maximise Sponsorship ROI
Delta isn’t just flying planes - they’re flying ahead with AI, too. In a high-impact collaboration with NVIDIA, Delta used AI-powered analytics to optimise its 2024 Olympic sponsorship campaign, which contributed to over $30 million in advertising sales.
Using predictive modeling and real-time performance data, Delta was able to make smarter media-buying decisions, better allocate its campaign budget, and identify high-performing marketing strategies during the Olympic activation window.
This AI-driven approach allowed Delta to reduce waste, increase campaign efficiency, and link marketing efforts directly to revenue outcomes.
How It Worked
Predictive Media Modeling
Delta used AI to forecast how its sponsorship campaign might perform across different channels - allowing smarter pre-launch decisions.
Cross-Channel Optimization
Machine learning tools analyzed which combinations of media performed best, helping Delta invest where the impact would be highest.
Real-Time Budget Reallocation
Delta adjusted media spend dynamically during the campaign based on ongoing performance signals, guided by NVIDIA’s AI systems.
Revenue Attribution
AI-driven reporting allowed Delta to directly connect its Olympic sponsorship campaign with $30 million in attributed ad sales.
Replicate Something Similar
Step 1: Use AI for Pre-Campaign Forecasting
What it does: Predicts the most effective media and targeting strategies.
Tools: Meta Robyn, Google MMM, or NVIDIA predictive analytics.
Step 2: Optimize Media Mix in Real Time
What it does: Shifts budget based on live data and performance feedback.
Tools: Adobe Mix Modeler, Blackwood Seven, or AWS Sagemaker.
Step 3: Connect Campaigns to Revenue
What it does: Uses AI-powered attribution to prove marketing impact.
Tools: Rockerbox, Measured, or first-party uplift models.
Curious why Wix paid $80M for Base44?
This review breaks down the strengths, quirks, and use cases you should know.
This counts in 2025 btw…
