#1797 AI Spent $540 Billion to Make You Lonelier: Betting Against Jobs, Art, and Community
Best of the Left - Leftist Perspectives on Progressive Politics, News, Culture, Economics and Democracy
Jay Tomlinson
4.5 • 3.4K Ratings
🗓️ 3 June 2026
⏱️ 202 minutes
🧾️ Download transcript
Summary
Air Date: 6–3-2026
Today we examine the AI industry's economic house of cards, the ideology Silicon Valley uses to sell a broken product, and the very real human costs being paid by workers, the lonely, and communities bulldozed for data centers nobody asked for.
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TOP TAKES
KP 1: The AI Backlash Just Got VERY Public - House of El - AI - Air Date 5-24-26
KP 2: The AI Industry Is Losing - Better Offline - Air Date 5-26-26
KP 3: The Aesthetic Pipeline to Techno-Fascism - Alice Cappelle - Air Date 5-27-26
KP 4: Joe Rogan Accidentally Exposed AI in Four Words - Mo Bitar - Air Date 5-22-26
(00:51:20) NOTE FROM THE EDITOR
AI Is a Drug and We're All Self-Medicating
My commentaries on YouTube - Share them!
DEEPER DIVES
(01:09:29) SECTION A: THE BUBBLE ECONOMICS
A1: Will SpaceX and OpenAI Starve the Market? - UNFTR Media - Air Date 5-26-26
(01:37:24) SECTION B: IDEOLOGY OF THE TECH ELITE
B1: The Left Doesn't Hate Technology with Gita Jackson - Tech Won't Save Us - Air Date 3-12-26
B2: Why We Should Care About the Pope's AI Crusade - The Tech Report - Air Date 5-26-26
B5: Have We Trained AI to Lie to Itself — And to Us? - Your Undivided Attention - Air Date 4-16-26
(02:21:29) SECTION C: THE HUMAN COST
C1: Why AI Friends Will Never Work - The Upgrade with Makai Allbert - Air Date 5-25-26
C2: Richard Dawkins Fell for a Chatbot - Steve Shives - Air Date 5-4-26
C4: There Is No Such Thing as AI Art ♥️ - Matt Bernstein - Air Date 5-22-26
(02:50:10) SECTION D: RESISTANCE & HOW TO FIGHT BACK
D2: Why AI Doom Content Is Everywhere- Taylor Lorenz - Air Date 5-27-26
D4: Those Graduation Speakers Getting Booed Right Now - Man Carrying Thing - Air Date 5-23-26
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Transcript
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| 0:00.0 | Welcome to this episode of the award-winning Best of the Left podcast. Today we examine the AI |
| 0:08.3 | industry's economic house of cards, the ideology Silicon Valley uses to sell a broken product, |
| 0:14.0 | and the very real human cost being paid by workers, the lonely, and communities bulldozed for |
| 0:20.2 | data centers nobody asked for. For those looking for a quick overview, the lonely, and communities bulldozed for data centers nobody asked for. |
| 0:22.3 | For those looking for a quick overview, the sources providing our top takes in about 50 minutes |
| 0:26.1 | today include House of L, Better Offline, Alice Capelle, Mo Bittar, a TEDx talk, and Democracy Now. |
| 0:34.7 | Then, in the additional deeper dives hack of the show, there will be more in four sections. |
| 0:38.7 | Section A, the bubble economics, section B, ideology of the tech elite. |
| 0:44.0 | Section 3, the human cost, and section D, resistance, and how to fight back. |
| 0:49.6 | And now, on to the show. |
| 0:57.1 | NVIDIA CEO. On to the show. NVDA CEO Jensen Huang delivered a commencement speech at Carnegie Mellon University. |
| 1:02.7 | He told graduates, your career starts at the beginning of the AI revolution. |
| 1:07.5 | I cannot imagine a more exciting time to begin your life's work. He told them |
| 1:11.9 | AI would change every industry. He told them to run, not walk towards it. Same sermon, different |
| 1:18.2 | congregation. One was preaching to the choir, the other was preaching to the people the choir |
| 1:23.3 | replaced. No booze, not a single one reported. The message was functionally identical to what |
| 1:29.5 | Eric Schmidt said at Arizona, where he was booed into the ground. And the difference is that |
| 1:34.2 | Carnegie Mellon is a widely recognized school as the birthplace of artificial intelligence. Its |
| 1:39.8 | graduates largely understood the technology, were entering careers built on it, and had a |
| 1:45.2 | relationship with AI that was informed rather than fearful. So same message, different audience, |
| 1:51.0 | opposite reaction. The variable isn't the message, it is the context in which the message lands. |
| 1:57.1 | And this is where I want to be extremely careful in this video because I am about to say something |
... |
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