PLAY PODCASTS
The AI Bubble Is A $57,000,000,000 Lie
Episode 140

The AI Bubble Is A $57,000,000,000 Lie

Nvidia’s shocking $57B quarter ignites a full-throttle debate over whether the so-called AI bubble is about to burst or was never real in the first place. Hunter and Daniel push through GPU shortages, Gemini 3’s rise, OpenAI’s massive burn rate, and even space-based data centers to figure out where we actually are in the AI revolution.

They Might Be Self-Aware · Hunter Powers, Daniel Bishop

November 28, 202534m 5s

Audio is streamed directly from the publisher (cdn.simplecast.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Is the AI bubble a $57B lie? Nvidia’s record earnings, Gemini 3, and OpenAI’s $15M/day burn reveal the truth behind the AI investment bubble.

This week, Hunter & Daniel tear into the AI bubble narrative with Nvidia’s insane $57B quarter, Google’s Gemini 3 leap, and OpenAI lighting money on fire at a rate that violates several financial and possibly geological laws. Is this a bubble… or the beginning of the AI takeover runway?

Nvidia can’t make H100s fast enough, small towns are fighting over new data centers, and Gemini 3 is suddenly everyone’s favorite coding partner. Meanwhile, OpenAI is losing $15 million per day, Groq is out there drop-kicking benchmarks, and Google’s making money hand over fist while calling the whole thing “irrational.”
Somewhere between Funko Pops, space-based data centers, and a chrome-blood sunrise… the truth emerges.

Stay to the end for the world premiere of our official country song: They Might Be Self-Aware. Yes, it’s real. Yes, it slaps.


⏱️ CHAPTERS

00:00 *The $57B AI Bubble Lie* – Nvidia’s monster quarter & why the bubble isn’t popping  03:12 *The Data Center Frenzy* – Funko Pop economics, GPU saturation & the crash debate  07:48 *Compute Wars Begin* – Groq vs Nvidia, TPU power plays & the race for AI hardware  12:44 *Gemini 3 vs GPT-5* – Coding performance, benchmarks & real-world workflow upgrades  17:56 *OpenAI’s $15M/day Burn* – Profitability fears, enterprise shifts & who survives the AI revolution  31:14 *Country Song Premiere* – The debut of “They Might Be Self-Aware”

Listen now & get self-aware before your tools do.

🎧 Listen on Spotify: https://open.spotify.com/show/3EcvzkWDRFwnmIXoh7S4Mb?si=3d0f8920382649cc
🍎 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/they-might-be-self-aware/id1730993297
▶️ Subscribe on YouTube: https://www.youtube.com/channel/UCy9DopLlG7IbOqV-WD25jcw?sub_confirmation=1


📢 Engage

Where are we in the AI timeline?
Beginning, middle, or “Hunter wants space-based data centers so send help.” 🚀🛰️
Drop your answer in the comments.

🧠 They Might Be Self-Aware — but are we?

Topics

nvidia 57bclaude 4.5google geminiopenai losing moneyopenai $15m per daygemini 3groq hardwaremachine learningai market crashai trendsai investment bubblegpt-5artificial intelligence newsnvidia earningsthey might be self awarejensen huangai workflowai hardware raceai bubble lietmbsagoogle tputech podcastai bubbleh100 gpusai data centers