Mar 18, 2026 · 1h 3m · big-technology
Are We Screwed If AI Works? — With Andrew Ross Sorkin
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Host Alex Kantrowitz and financial journalist Andrew Ross Sorkin examine the paradoxical macroeconomic risks of artificial intelligence, debating whether technological success could trigger widespread white-collar labor displacement, infrastructure overbuild, and systemic contagion across debt-leveraged private credit markets. Drawing direct parallels to the 1929 market crash, the conversation analyzes the structural vulnerabilities of the modern economy and the regulatory safeguards needed to avert historical crises.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 36.5% of the talking time here. How this is scored →
Alex as informed peer 5.7 Guest teaching 5.0 Guest disagreement 3.2 Alex pushing back 4.0
speaking balance: gold is Alex, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 5:14 Sorkin dismisses optimism on programming jobs
Sorkin forcefully rejects Kantrowitz's premise that software engineering will remain resilient, asserting that anyone who believes AI models will improve must accept that humans will no longer program manually.
Hardest push from Alex ▶ 16:30 Kantrowitz defends human reporting over AI automationKantrowitz refuses Sorkin's framing that journalism analysis will be automated, offering a firm counterargument based on the indispensable value of in-person locker-room access.
Biggest teaching moment ▶ 43:53 Sorkin reframes the post-war middle class as an aberrationSorkin corrects the cultural framing of the traditional American dream, showing with macroeconomic history how 1950s prosperity stemmed from post-war monopoly rents rather than permanent market norms.
Alex holds their own ▶ 12:22 Kantrowitz uses personal workflow expansion to challenge zero-sum viewKantrowitz directly counters Sorkin's zero-sum view by citing his own hands-on software development with Claude Code, showing how AI productivity generated entirely new economic activity and vendor spend.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Alex as informed peer | Guest teaching | Guest disagreement | Alex pushing back | Why |
|---|---|---|---|---|---|---|
| Productivity, Cost Removal, and the Threat of 25% Unemployment | 6 | 5 | 4 | 5 | Kantrowitz challenges Sorkin's thesis on mass unemployment by arguing that major capability leaps historically bring economic production booms. Sorkin counters by reframing the core problem around purchasing power and a painful transition period for entry-level white-collar workers. | |
| Software Engineering and Economic Growth Potential | 6 | 5 | 5 | 5 | Kantrowitz brings concrete data regarding software engineering job listings rising on Indeed despite AI coding tools. Sorkin forcefully pushes back, questioning whether Kantrowitz truly believes human programming won't be replaced given the compounding rate of model improvement. | |
| Zero-Sum Growth vs. AI-Driven Productivity Examples | 6 | 5 | 5 | 5 | Sorkin asserts that corporate expansion is partially zero-sum and shares his personal experience replacing legal review with ChatGPT. Kantrowitz counters by demonstrating how using Claude Code expanded his own operational scope and generated downstream spending on new services. | |
| The Limits of Automation in Accounting and Journalism | 7 | 4 | 4 | 6 | Kantrowitz cites the precedent of Narrative Science in sports reporting to push back against Sorkin's assertion that journalism analysis will be fully automated, noting the irreplaceable value of locker-room access and human connection. | |
| Software Industry Viability and Massive AI CapEx | 6 | 4 | 4 | 4 | Kantrowitz outlines the threat posed by massive tech capex to the SaaS industry and quotes a Sequoia partner's thesis. Sorkin offers moderate contrarian pushback, arguing incumbents retain advantages through proprietary data and existing distribution. | |
| Consolidated Interfaces and Everyday Personal AI Use | 5 | 3 | 2 | 3 | A collaborative exchange comparing how both host and guest integrate AI into daily writing, text dictation, and fitness tracking workflows. | |
| AI Monetization, Data Center Capex, and Edge Computing | 6 | 5 | 3 | 4 | Kantrowitz raises run-rate figures for OpenAI and Anthropic to question if rising revenues reduce crash risks. Sorkin provides structural insight into tranched capital commitments, potential edge-compute efficiency shifts, and chip depreciation cycles. | |
| 1929 Parallels, Leverage, and 'Mark-to-Make-Believe' in Private Equity | 6 | 6 | 3 | 4 | Kantrowitz recalls Sorkin's historical framework that debt underlies all market panics. Sorkin details how non-transparent 'mark-to-make-believe' valuations across private equity and private credit delay necessary balance-sheet adjustments. | |
| Understanding Private Credit and Shadow Banking | 4 | 7 | 2 | 2 | Kantrowitz asks for a primer on private credit, and Sorkin delivers a clear breakdown of post-2008 regulatory shifts that moved leveraged loans from regulated banks into illiquid shadow credit funds. | |
| Private Credit Redemption Gates and Data Center Buildout Risks | 6 | 5 | 3 | 4 | Kantrowitz cites Reuters reporting on redemption gates at BlackRock, Blackstone, and Blue Owl. Sorkin explains the structural fragility of semi-liquid retail products, while Kantrowitz shares an anecdote from a Utah data center builder. | |
| Economic Mobility and the Rise of Speculative Gambling | 6 | 6 | 3 | 4 | Kantrowitz introduces an online essay regarding socioeconomic degeneracy and speculative betting. Sorkin educates on economic history, explaining why the post-war middle-class standard was an aberration driven by global monopoly rents rather than the historical baseline. | |
| The Psychology of Speculation and Accredited Investor Protections | 6 | 5 | 3 | 5 | Kantrowitz pushes on why everyday retail investors should be barred from speculative high-upside markets if private equity profits from them. Sorkin lays out the regulatory philosophy of accredited investor thresholds and socialized losses. | |
| Fiscal Stimulus Playbooks, National Debt, and Federal Reserve Independence | 6 | 5 | 3 | 4 | Kantrowitz brings up political pressure on the Federal Reserve and the Kevin Warsh nomination. Sorkin discusses historical stimulus playbooks since 1929, the constraints of national debt, and the institutional governance of the FOMC board. | |
| Lightning Round: Health Habits, Market Timing, and Tech IPOs | 5 | 4 | 2 | 3 | A rapid-fire Q&A covering personal lifestyle habits, Charlie Merrill's market call in 1928, DealBook summit interviewing tactics, and mega-cap tech IPO dynamics for SpaceX and OpenAI. | |
| Assessing the Probability of a 1929-Scale Crash Today and Conclusion | 5 | 6 | 2 | 2 | Sorkin summarizes the core structural difference between 1929 and today, highlighting that modern retail investors do not hold 10-to-1 margin debt, making a 25% unemployment collapse far less likely. |
Statements from this episode (25)
Sorkin: Justifying AI Valuations Requires Eliminating Human Labor Costs
“Meaning if you ever wanted to think about what would this country look like with 25% unemployment, how would you get there? And I think the answer is potentially if AI is as successful as I think we all hopefully want it to be to the extent you believe these v…”
Kantrowitz: AI has not triggered software engineer layoffs yet
“AI is more sophisticated in coding than anything else, but we're definitely not seeing a wave of layoffs of software engineers now.”
Kantrowitz: Software developer job postings on Indeed are rising
“The job levels, the job numbers of software developers on Indeed are going up.”
Sorkin: Humans Will Not Code Their Own Software In The Future
“I just don't see how we're gonna be sitting around doing our own programming. I just don't see it.”
Sorkin: In Five Years, AI Will Co-Author Books And Articles
“But five years from now, do you really think that people are going to write books even by themselves? I assume you would be co-authoring a book with AI. I imagine people will be writing articles at minimum with AI if AI is not doing it in entirely”
Sorkin: Economic growth has historical upper limits and is partly zero-sum
“Some of this is a zero sum game. It is not like that the pie can just grow exponentially. I know there are people who believe that it could, but invariably at least historically hasn't. There are sort of upper limits to even what growth could ultimately even l…”
Sorkin: AI wealth will concentrate in big tech and incumbents hiring agents
“I believe that the wealth and the great riches are going to go both to the model makers, some of the big tech companies, and probably the folks who already have had success because they will be at the top of these food chains, and instead of hiring more people…”
Sorkin: Journalism's value will shift to in-person, off-the-record reporting
“AI can't walk into the locker room and start to interview the athlete or figure out what the coach did two days earlier and try to get somebody to tell them something off the record or behind the scenes. And that'll become a sort of higher order value proposit…”
Sorkin: Altman And Ive AI Device May Arrive In Six Months
“You know, if Sam Altman and Johnny Ive have their way, we will have something sitting on this desk probably in six months from now that may be watching what we're doing all the time.”
Kantrowitz: An entirely AI-generated Epstein podcast hit Spotify's top 30
“One podcast hit the top 30 trending on Spotify. That was entirely AI. Created about the Epstein files, an 80 four-part series, taking those documents and turning it into a show.”
Kantrowitz: Tech's $700B AI CapEx Threatens To Hollow Out Software Industry
“If that seven hundred billion in capex that the tech giants are spending this year on AI pays off, you're going to have this entire Hollowing out of the software industry of many, maybe other industries”
Sorkin: AI Will Consolidate Into A Single Voice-Driven Consumer Interface
“I think I'll go with, there's gonna be one interface. I don't know if it's one bot, but one interface that you will interact with. I imagine likely talking rather than even typing.”
Sorkin: AI presents Google's best chance to take share from Apple
“I would imagine that this should be the greatest opportunity for Google and Alphabet Effect or Alphabet to truly take share because Gemini, if built the way I think it should be built, should be able to move you around their phone in shocking ways, right? It s…”
Sorkin: Private credit cannot collapse before private equity loses money
“The private credit business really can't fall apart before, frankly, the private equity industry falls apart. Meaning, if you think about it, who has taken on the biggest loans from private, from the private credit space? It's oftentimes the private equity pla…”
Sorkin: Private equity and credit both delay markdowns to preserve valuations
“There is a whole sort of universe that I'd put in the category of mark to make believe. And the incentive system is such that you want that mark to make believe to go on as long as possible, because if you are The equity owner, you don't want to mark your mark…”
Sorkin: AI Threat To SaaS Recurring Revenue Could Trigger Credit Defaults
“Well, if you decide the software company is no longer a thing and may not have this recurring revenue, all of a sudden its value has to come down, and all of a sudden, therefore, they would have to lose all their money, and then if for the credit guys who loan…”
Sorkin: AI will endure long-term and ultimately need current data centers
“I mean, I imagine long term that AI is going to be very much like the internet on steroids, which means that it will be here for a very long time, and we will ultimately need these data centers. That is, to me, not really the question.”
Sorkin: AI Faces Potential Dot-Com-Style Bubble And Bust Timing Mismatch
“The bigger question is whether there's going to be like a timing mismatch, that there's going to be some period of time. Same way, by the way, we had a dot com bubble and bust where the economics didn't match the investments at that time. Now, Amazon is still …”
Sorkin: Data centers differ from railroads because chips require continuous upgrades
“The one other thing about data centers, which is a little bit more nerve-wracking, is it's not like putting, you know, people compare it to putting fiber in the ground or building the railroads. You put the tracks down. Because once you build a data center, yo…”
Sorkin: Prediction market speculation is driven by US wealth inequality
“One of the reasons why people are moving to prediction markets and moving to what I would describe as the sort of a lottery ticket approach to life. It's a little bit YOLO. Is a function of the inequality that we have in this country.”
Sorkin: Post-WWII middle-class American dream was a historical aberration
“I actually think that was a historical aberration. That was not the way it used to be. If you look at the 19 twenties, it was not like that. You look at the 19 thirties, it wasn't like that. The leave it to be for American dream that I think this individual is…”
Sorkin: Investor Losses Get Socialized When Individuals Cannot Afford Them
“The truth is, depending on how you run a country and a social safety net and a system, if you can't afford the loss, then the loss gets fully socialized.”
Sorkin: Governments must inject liquidity rather than impose austerity during crashes
“When you have a crash, you can't move into a period of austerity. You actually have to throw money at the problem as politically unpopular as the bailouts are. The Federal Reserve needs to throw money in.”