In this episode, Georgia and Matt serve up your weekly dose of AI and cloud news — plus the launch of something brand new (and a little wild):

*The Agentic Series* — our hands-on experiment to see if AI agents can design, build, and run a business… with minimal human meddling. 📰

Headlines This Week:

Amazon’s AI Workforce Shift: Andy Jassy’s latest shareholder letter teases a leaner, more AI-powered workforce. The hosts dig into what this could *really* mean (and how Amazon Fresh’s “AI stores” were actually powered by humans in a control center in India).

BBC vs. Perplexity: The BBC’s getting legal over AI scraping — accusing Perplexity of publishing full articles without permission. Is AI crossing the fair use line?

Big Tech Chessboard: Rumors swirl of Apple sniffing around Perplexity, while Elon’s XAI Grok cozies up to Microsoft *and* Oracle Cloud.

Game on. 🤖

Launching The Agentic Series What happens when you put Claude Opus, Gemini 2.5 Pro, and ChatGPT 4.5 in a virtual war room and ask them to create a business? We're finding out. 🧪

The Challenge: Create a digital-only, serverless product business — researched, designed, and architected by AI agents. Each LLM acts as a specialist:

Claude & Gemini: product strategist & market analysts

ChatGPT: evaluator and judge

They were tasked with:

• Finding underserved problems
• Sizing the market
• Proposing architecture + GTM strategy
• Recommending pricing and monetization models

📊 The Outcome: Claude’s Top Picks:

1. AI-powered RFP response assistant

2. Continuous compliance monitoring for SMEs

3. Real-time B2B data enrichment

Gemini’s (eventual) Suggestions:

1. AI-powered paralegal for law firms

2. “Grant Guru” for nonprofits

3. Content co-pilot for solo creators

🎯 Winner (according to GPT-4.5): The AI content co-pilot for creators, thanks to high relatability, market size, and strong demo potential.

🔜 What’s Next? We’re moving into solution design and technical architecture in the next episode — with expert guests joining the build.

Expect practical use cases, ethical debates, cost guardrails, and a few surprises as we let the agents do their thing.

💡 Don’t want to miss what AI builds next?

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