Zitron Squeeze

A lot of tech right now feels like people acting out the shape of innovation without the substance underneath it. You can see the same pattern across AI branding, strange product launches, and giant partnerships that sound important before you ask what problem they're actually solving.

• Cargo-cult innovation
• AI hype and the search for a story
• Side bets that look like signals
• PR narratives versus actual strategy
• Executive detachment and product judgment
• What actually follows from all this

Source:

• Ed Zitron's Where's Your Ed At — Premium: Notes From The Bubble, Volume 1

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A lot of tech stories right now ask you to trust the scale before you understand the product. Billions in GPUs, endless token burn, weird hardware demos, and growth metrics that sound huge until you ask what actually got better.

• Cargo-cult AI spending
• AI token loops
• Financial opacity and cost shifting
• SaaS slowdown and monetization rot
• VC drift and zombie companies
• Product theater and founder mode
• The hype loop in tech media

Source:

• Ed Zitron's Where's Your Ed At — Cargo Culture

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There are two stories around AI right now. One is that the future is arriving at godlike speed. The other is that a lot of this depends on accounting, incentives, and people being too emotionally invested to ask basic questions.

• OpenAI financials
• The pseudo-cult problem
• Hype, doom, and inevitability
• The infinite-growth promise
• Sub-bubbles feeding each other
• What actually holds up

Source:

• Ed Zitron's Where's Your Ed At — Premium: The Silicon Valley Bubble (Part 2)

This podcast was created with Podkey. Make your own at https://podkey.fm

A $38.5 billion loss sounds like catastrophe until you ask what kind of loss it actually was. With OpenAI's 2025 numbers, the most important question isn't whether the figure is big. It's what inside that figure reflects the business, and what reflects a one-time accounting shock.

• The headline number
• Why the conversion changed everything
• What the operating business looks like
• Microsoft, SoftBank, and dependence
• The cash cushion and the real risk
• What holds up and what doesn't

Source:

• Ed Zitron's Where's Your Ed At — Exclusive: OpenAI Losses Increased Nearly 8X in 2025, With Spending Hitting $34 Billion

This podcast was created with Podkey. Make your own at https://podkey.fm

One story here looks like safety theater colliding with geopolitics. The other looks like a business model colliding with arithmetic.

• Anthropic breach and export controls
• Tokenomics and the pricing crisis
• Corporate cost discipline arrives
• Open source alternatives and market structure
• Silicon Valley monoculture

Source:

• Ed Zitron's Where's Your Ed At — AI's Brokenomics

This podcast was created with Podkey. Make your own at https://podkey.fm

An OpenAI IPO sounds like a simple milestone story until you put the financing next to the spending. Then it stops looking like a normal growth company and starts looking like a test of how much strain the market will absorb for AI.

• OpenAI and public-market pressure
• Anthropic's financing structure
• Recursive self-improvement as an explanation
• The AI bubble and the Rot-Com theory
• Why venture capital changed
• What actually holds up

Source:

• Ed Zitron's Where's Your Ed At — Premium: The Silicon Valley Bubble (Part 1)

This podcast was created with Podkey. Make your own at https://podkey.fm

The core question here isn't whether AI is useful. It's whether the industry's spending plans make any economic sense at the scale being promised. And once you look at the debt, the token billing, and the revenue assumptions together, the stress points start to line up.

• Compute commitments versus plausible revenue
• Data center debt and the financing bottleneck
• Token billing, visibility, and vendor incentives
• Internal token burn and ROI scrutiny
• Workforce strain and the human layer
• The coming exposé and what to watch

Source:

• Ed Zitron's Where's Your Ed At — AI Is Slowing Down

This podcast was created with Podkey. Make your own at https://podkey.fm

The loudest AI story says inevitability: massive demand, massive disruption, massive value. The quieter story is about losses, subsidies, weird billing, concentrated customers, and a lot of people treating demos like proof.

• Manufactured hype
• Financial reality
• Token billing and enterprise reality
• Hallucinations and task limits
• Compute overbuild and NVIDIA exposure
• Job displacement claims

Source:

• Ed Zitron's Where's Your Ed At — Premium: The Hater's Guide To The AI Bubble 3.0

This podcast was created with Podkey. Make your own at https://podkey.fm

A lot of the AI argument right now comes down to a weird mismatch. The public story is abundance, efficiency, and inevitability. The financial story looks a lot murkier once you ask who pays, what gets measured, and whether any of it actually holds up without subsidies.

• ROI and the accountability problem
• Token billing reveals the real price
• Why subscriptions look fragile
• Compute costs are not falling the way the story says
• Is this worse than Dot Com
• Dark output and the job replacement story
• What leadership still hasn't answered

Source:

• Ed Zitron's Where's Your Ed At — AI Doesn't Have ROI

This podcast was created with Podkey. Make your own at https://podkey.fm

A trillion dollars in GPUs sounds like inevitability until you ask who is actually using them, where they’re going, and how any of this gets paid back. The interesting question isn’t whether AI is real. It’s whether the current scale story survives contact with construction timelines, customer concentration, and basic unit economics.

• NVIDIA demand versus installed reality
• Construction bottlenecks and the backlog problem
• Revenue concentration in AI
• Cash burn and the path to profitability
• Token billing and ROI opacity
• Credit markets and supply-chain exposure
• What holds up and what doesn't

Source:

• Ed Zitron's Where's Your Ed At — Premium: What If...We're In An AI Bubble? (Part 3)

This podcast was created with Podkey. Make your own at https://podkey.fm