#TheTechHustle Podcast 🎙

Google cutting a $920 million per month check to SpaceX for AI compute is the kind of number that makes you stop what you’re doing and ask one question: are we watching the AI economy hit an infrastructure wall? We break down what this reported deal says about GPU supply, data center capacity, and why “bridge capacity” has become the phrase of the year for companies trying to keep up with enterprise AI demand. If even Google needs to rent serious Nvidia-powered horsepower elsewhere, the whole...

The ground just shifted beneath knowledge work. We open with AI agents that don’t stop at answers—they take actions. Think calling a bank and saying “transfer $100 to my daughter’s account,” then hearing the bot do the work. From there we zoom out: Apple’s late but massive push into AI data centers to revive Siri, the economics of a reported $2,000 AI-produced NBA ad, and the video-model arms race between Google’s VO3 and OpenAI’s Sora. Production costs are falling; taste, strategy, and story...

Your Google results look different for a reason. We dig into Gemini 3 Pro, why Google put AI answers at the top of search, and how that single design choice changes user habits, website traffic, and the way creators get discovered. If you’ve got a Gmail account, you already have access to a powerful, multimodal model that handles chat, voice, camera input, images, and even video tools in one place—no extra subscription required. We share hands‑on ideas to try today and explain why this releas...

Two eras. One label that never sits still. We brought a full-court, three-round debate to the table to test what “greatest of all time” really means when you compare Michael Jordan and LeBron James across scoring, defense, longevity, and clutch DNA. No fluff—just context, stats, and the moments that still live rent-free in every fan’s head. We start with peak value: Jordan’s 37.1 points per game season and ten scoring titles versus LeBron’s all-around engine that powers any lineup he touches...

What if you could stop hand-coding and still ship production-ready features at speed? We walk through a focused 30-day sprint where an agentic AI—treated like a junior engineer—helped us recreate the majority of a complex edge-compute toolkit by pairing goal-first prompts with test-driven development. Instead of micromanaging steps, we defined outcomes, wrote tests, and “whispered” constraints the agent used to plan, code, and iterate. The results weren’t just fast; they were reviewable, modu...