It's Friday, May 1st: Where does durable value live when AI commoditizes the software layer? One answer comes from Tom Tunguz, reading the latest hyperscaler earnings for the structural advantage Google's vertical integration is now creating. The other comes from a long thread by Mustufa Patel, distilling Naval Ravikant's call that pure software is uninvestable. Plus a coding night in Utah and a week of community building in Atlanta.

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Here, we feature a few standout stories from creators in our network.

💰 The $112 Billion Quarter, and Who Actually Wins It

Tom Tunguz published a sharp piece this week reading the Q1 2026 hyperscaler earnings as a single story instead of three separate ones. The combined capital expenditure line for Google, Microsoft, and Amazon hit $112 billion in a single quarter. The growth rates do not move together. Google Cloud printed 63% year over year. Azure printed 40%. AWS printed 28%.

The pattern Tunguz identifies is hard to argue with. The hyperscaler that owns its own model layer is the one growing fastest.

The growth-rate gap is the headline. Google Cloud is not pulling 35 points ahead of AWS because of better marketing. It is pulling ahead because Google owns Gemini and TPUs the way Amazon used to own retail logistics, with no licensing fee in the middle of the stack. When customers process 16 billion Gemini tokens per minute and the cloud backlog crosses $460 billion, the margin pickup goes straight to Google instead of being shared with a model vendor.

The infrastructure side is moving even faster than the revenue line. Combined Q1 capex hit $112 billion across the three hyperscalers, with Alphabet guiding $180-190 billion for the year and Microsoft tracking around $120 billion. The new wrinkle is debt. Alphabet just placed a $32 billion offering. Amazon raised roughly $54 billion in March. Bank of America now forecasts $175 billion in hyperscaler borrowing across 2026, more than six times the prior five-year average. The bet on AI is no longer being paid out of free cash flow alone.

The line from the Google CFO that anchors the piece is worth holding onto: "we are compute constrained in the near term." Demand is so far ahead of capacity that the next 18 months will be defined by which infrastructure wins the right to host the spend. Tunguz's read: vertical integration of the model and the silicon has become the most durable advantage in the cloud business, and that advantage is now visible in the revenue line.

⚠️ The Naval Verdict, and the 18-Month Window for Software Founders

Mustufa Patel posted a long thread on X this week unpacking what Naval Ravikant's recent podcast appearance means for software founders. Naval's line was uncharacteristically direct. Pure software is uninvestable.

Patel takes that framing and runs it through the SaaS market, the Apple thesis, and what an actual moat looks like in a world where a two-person team using Claude Code can rebuild most B2B products in 90 days. The argument is sharp enough that founders should sit with it before dismissing it.

The Apple thread is the most provocative read in the post. Patel's case is that the $3 trillion valuation rests on premium hardware margins justified by a superior software experience, and the experience layer is commoditizing in real time. Within 24 months, most users will talk to an agent that generates whatever interface they need on the fly. The curated app store, the design polish, the human interface guidelines all lose pricing power once the interface itself is generated. Apple's response, licensing Gemini after its own AI bet underdelivered, looks like the Microsoft-after-mobile playbook running in fast-forward.

The harder section is for SaaS founders. Patel argues that most Series A and Series B SaaS valuations were set in a world where building the product was the hard part. That difficulty has collapsed. Two-person teams are now shipping working B2B replacements in 90 days, and the integrations and compliance work that remain are friction rather than a defense. Workday, ServiceNow, Atlassian, and Salesforce mid-market all show up in the post as candidates for replacement by AI-native alternatives staffed smaller than the incumbent's HR team.

The constructive part of the thread is what comes next. Patel's list of remaining defenses lines up with what builders inside the AIC have been hearing from operators for months. Distribution, network effects, data flywheels, hardware integration, and vertical depth. The summary line worth taping to the wall is that marketing is the product now, the product is downstream of attention, and the next billion-dollar company might have one employee with real distribution. Worth reading even if you disagree with the timeline.

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🏔️ Salt Lake City | Vibe Coding 101, and a Six-Month Roadmap

The AI Collective Salt Lake City chapter ran Vibe Coding 101 this week, a hands-on session led by facilitator Cameo Doran with sponsorship from Cameo Labs and Arch Nexus. The room had the local volunteer-led energy that's been showing up across newer chapters, and Utah's AI community is filling out fast.

Worth flagging the roadmap the chapter just published. May is AI & Governance with legal and compliance leaders. June is Real Talk with Women in Tech. July gets a Pie & Beer Day mixer. August is a Show & Tell Demo Night for AI hacks and tips. September focuses on AI in Education. October runs a Spanish-language session for Hispanic Heritage Month. If you're in Utah and want to volunteer, speak, or sponsor, the chapter is taking comments now.

🌁 ATL | Atlanta AI Week, and a Chapter That Showed Up in Every Room

Image from Anthony Webb

Atlanta AI Week wrapped this past week, and chapter member Anthony Webb's recap on LinkedIn is worth reading less for the agenda and more for the cast. His post is mostly a thank-you note. The list of people he names spans event leads, partners, technologists, and former Atlanta City Council President Kwanza Hall.

The throughline he picks out is the one Atlanta has been running on for a while. The same person who teaches one session is in the front row of the next. That pattern is what makes a chapter feel like a chapter instead of a meetup calendar. If you're in metro Atlanta and have been waiting for a reason to go to your first AIC event, the next one is a good one to start with.

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About the Authors

Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research explores the economics of emerging technology and organizational strategy.

About Joy Dong

Joy is a news editor, writer, and entrepreneur at the forefront of the emerging tech landscape. A former educator turned media strategist, she currently writes TEA, where she demystifies complex systems to make AI and blockchain accessible for all.

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