1929 vs 2025: Andrew Ross Sorkin on Crashes, Bubbles & Lessons Learned
Summary
Sorkin sees echoes of 1929 but rejects a one-to-one crash call: today’s leverage is different and less obviously extreme than the era’s 10-to-1 stock loans. Large corporations are spending real cash on AI, but leverage surrounds data centers, real estate, energy and opaque private credit, while Nvidia–OpenAI and AMD arrangements show “a little bit of a circular kind of thing.” A reckoning “could still be years away,” and the investments could ultimately work.
The 1929 boom fused easy credit, new technology and the promise that “everybody ought to be rich.” Starting with GM auto financing in 1919, borrowing spread to appliances and stocks; by 1928 the market had risen 48%, RCA was “the Nvidia of its time,” and banks, corporations and retail investors were speculating without an SEC, meaningful disclosure or risk underwriting.
Regulation can redirect speculation but cannot extinguish the human demand for “more.” Sorkin calls speculation “the twin of innovation,” because Tesla-scale breakthroughs require capital committed before success is remotely clear. The unresolved policy problem is how to encourage that risk-taking without socializing consumer losses or using protection to deny ordinary investors access.
Today’s macro signals do not fit the classical playbook. The hosts pointed simultaneously to elevated equities, gold near $4,000 an ounce, a weaker dollar basket and “7% debt to GDP in peacetime,” yet Treasury investors were not demanding the expected premium. Sorkin’s tentative explanation is relative safety: America may remain “the prettiest girl at the dance.”
AI may be supporting current growth, but its durable payoff depends on moving from speed to quality. Data-center spending was estimated to contribute 100–200 basis points of GDP, while the economy looked roughly flat without it; Chamath rejected static ex-AI comparisons as missing technology’s normal reallocation of resources. Friedberg’s sharper concern is that businesses are resisting AI out of psychological insecurity while the industry remains in a “novelty-slopware phase.”
The 1929 crash did not instantly become a depression or a socialist backlash; policy errors and deteriorating conditions stretched the break across years. The market ended 1929 down only 17%, encouraging hopes of recovery, before the Fed failed to flood the system, Hoover raised taxes and Smoot-Hawley compounded the damage; unemployment reached 25% and Hoovervilles emerged by 1932. Only later did Roosevelt attack bankers, close the banks and usher in the New Deal.
The modern political bind is that fiscal repair requires selling “less” to voters who were promised more. Friedberg argues that federal commitments to education, housing and healthcare inflated costs by creating markets with “only a market force of buy,” while Sorkin warns that people with little will reject sacrifice from wealthy advocates. On tariffs, Chamath accepts paying more for potentially inferior domestic products when the premium buys resource independence and “strategic flexibility and optionality.”
Deep dive
1. Consumer credit turned investing into a leveraged mass movement
Sorkin began the book because existing histories explained that something terrible happened in 1929 but not “who was sleeping with whom,” who was manipulating whom, or which incentives drove the decisions. The breakthrough was finding Thomas Lamont’s files at Harvard, including transcripts of the J.P. Morgan chief’s calls with Hoover and Roosevelt.
His economic starting point is 1919, when borrowing still carried the stigma of “a moral sin.” General Motors began financing car purchases, Sears, Roebuck followed with appliances, and National City’s Charlie Mitchell extended the model to stocks—letting someone put down $1 and borrow another $10. Brokerage houses then opened on street corners “the way we see Starbucks today.”
The infrastructure around that leverage was almost nonexistent: “Zero risk underwriting,” no SEC, no meaningful rules and perhaps a street leaflet instead of a prospectus. Banks invested depositor money in equities, while ordinary corporations lent from their balance sheets so other people could buy stocks.
The cultural machinery magnified the trade. The market gained 48% in 1928; RCA became “the Nvidia of its time”; and Time, founded in 1923, and Forbes, founded in 1917, put CEOs beside Babe Ruth and Charles Lindbergh as celebrities. As people moved from farms into cities and saw newly celebrated wealth, John Raskob promoted broad participation—nearly a first mutual fund—with the rallying cry, “Everybody ought to be rich.”
2. Speculation is indispensable, but protection creates its own inequity
Sorkin invokes the Wall Street: Money Never Sleeps exchange—“What’s your number?” “More”—to illustrate the human appetite behind repeated manias. Technology may unlock each new cycle, but the appetite is permanent, and capital will seek whatever route remains open, from margin loans to crypto tokens, NFTs or another lightly regulated instrument.
His important qualification is that “speculation is the twin of innovation.” Tesla required investors to fund Elon Musk when the proposition appeared absurd; Silicon Valley similarly risks money, time and reputation while recruiting people into uncertain projects. The policy challenge is to encourage “betting on the come” without letting it overwhelm the system.
The accredited-investor rule embodies the conflict: late-1930s or 1940-era protections reserved private-company opportunities for people wealthy enough to lose money, while 2025 investors demand access. When Sorkin warned about GameStop or SPACs, the response was not gratitude but, “You’re not protecting me. You’re protecting the man.”
Chamath extends that criticism to the 1940 Act: crypto, BDCs and private credit contort themselves around definitions built for a much less dynamic economy. Friedberg says legislative fear of what might go wrong blocks a “wholesale rip and replace,” potentially preventing what could go right.
3. Mitchell and Glass fought over credit before bankers captured reform
Sorkin casts National City chief Charlie “Sunshine Charlie” Mitchell as the era’s Jamie Dimon, with a Michael Milken-like role in popularizing credit. Mitchell sat on the New York Fed’s board, repeatedly called for lower rates and financed both speculators and brokerage houses nationwide.
His antagonist, Carter Glass, was the era’s Elizabeth Warren or AOC, though Sorkin stresses Glass’s racism. Glass denounced “Mitchellism” as a threat to the economy; when the Fed merely asked banks, “Please stop lending to speculators,” Mitchell effectively answered, “We’re not going to have that,” and supplied credit himself.
The eventual Glass-Steagall separation of commercial and investment banking—and creation of the FDIC—was not a clean consumer-protection morality play. Sorkin found lobbying by Chase and Rockefeller interests seeking to screw over J.P. Morgan; even Glass complained that bankers were taking over his bill. Reform emerged from institutional rivalry as much as public principle.
4. The next break may hide around AI rather than inside it
Sorkin’s honest position is uncertainty: “I’m assuming we’re in some bubble and we just don’t know when it’s going to pop.” It need not resemble 1929, 1999 or 2008 in scale. Big corporations are mostly funding AI investment with real cash, but real estate, energy and private-credit structures around them contain leverage whose location remains unclear.
Nvidia–OpenAI and AMD deals look somewhat circular to him, though that is a warning sign rather than a timing call: “We could still be years away,” and the projects might succeed. He sees nothing clearly matching 1929’s 10-to-1 margin structure or the subprime situation in 2008.
Friedberg’s macro puzzle—worth keeping—is why equities, gold near $4,000, a falling dollar basket and historically unusual peacetime fiscal expansion can coexist without sharply higher Treasury yields. Sorkin has no neat answer beyond relative attractiveness: weaker alternatives may leave the United States “the prettiest girl at the dance.”
Mapping today’s power structure, Sorkin names the president, Scott Bessent and Howard Lutnick in government; Jamie Dimon and Larry Fink in traditional finance; Brian Armstrong and Vlad Tenev in democratized digital finance; and Sam Altman, Elon Musk and Google’s leaders in AI. His own restrictions keep him in indexes—and left him regretting that he ignored Chamath’s early Bitcoin case: “I should have listened.”
5. AI’s real productivity phase begins when quality replaces speed
Friedberg argues the AI story reflects the real economy, not merely media fixation: removing the Mag 7 materially changes the picture. The hosts cite data-center spending as roughly 100–200 basis points of GDP and mention an estimate that quarterly GDP was approximately flat without it.
Chamath pushes back that ex-AI comparisons are “kind of dumb” because every major technology dynamically reallocates capital and labor. The relevant question is whether incumbent companies redesign themselves for AI; those that do not may surrender productivity to new competitors built to perform the same work more efficiently.
Friedberg’s private-equity example makes resistance concrete: despite Fortune 500 and Fortune 1000 customers lining up for his AI software-rewriting platform, he could not sell one private-equity firm. He reads that not as a technical verdict but as “a psychological decision”—AI creates insecurity, so leaders hope somebody else will confront it later.
Friedberg calls the current market a “novelty-slopware phase,” optimized to produce mediocre outcomes faster. His wife’s life-sciences objection is the better target: “I don’t want speed. I want quality.” Drug discovery is not about generating 500 molecules tomorrow but finding the right molecule for the right disease, even if it takes five or six years.
Chamath invokes 1932’s 25% unemployment while arguing that sufficiently successful AI should produce massive productivity gains and affect employment. Friedberg suggests people could shed drudgery and work on more important things; Chamath expects the result to be a combination of displacement and expansion, not frictionless abundance.
6. The crash became a depression through a slow policy cascade
Sorkin rejects the compressed story in which October 1929 immediately produced mass revolt. The market finished 1929 down only 17% and periodically appeared to recover, while Hoover believed the problem was partly psychological and that markets could remain detached from the underlying economy.
The deterioration came through accumulation: the Fed did not flood the system, Hoover raised taxes, and Smoot-Hawley fulfilled a tariff pledge intended to win farmers. Hoovervilles and 25% unemployment belonged more to 1932 than the immediate crash, delaying the confrontation between capitalism and socialism.
Chamath notes that Roosevelt’s victory, according to the polling Sorkin discusses, turned more on Prohibition than contemporary memory suggests. The political tone changed when Roosevelt attacked bankers in his inaugural address, instituted the bank holiday and pursued the New Deal amid roughly 9,000 banks going out of business; only then did systemic arguments about capitalism fully take hold.
7. Fiscal restraint and strategic independence both carry visible costs
Chamath distinguishes the 1929 dream from the “Leave It to Beaver” ideal formed after World War II, when America enjoyed unusual monopoly power and unions could share those rents. The house, white fence, two children and steadily rising living standard may have reflected a historically exceptional configuration rather than a timeless entitlement.
Sorkin says the New Deal created enormous investment that turned GDP around, while Friedberg insists the New Deal and World War II must be considered together for their spending profile. Asked about a new social compact, Sorkin returns to the constraint: “Where are we going to get the money?” Friedberg’s preferred compact requires spending less, not designing another promise of more.
Friedberg argues federal support for education, homeownership and healthcare created one-sided demand: “There’s only a market force of buy.” Suppliers then captured spending and inflated tuition, housing, medical and pharmaceutical costs. Sorkin agrees retrenchment is necessary but highlights the politics—wealthy advocates of sacrifice will be told, fairly or not, that they can afford “less” while others cannot.
On empire cycles, Friedberg hopes Ray Dalio’s diagnosis is wrong and invokes Niall Ferguson’s view that debt and defense burdens historically end empires, with 2040 offered as a possible danger point. Everyone may know spending must fall; nobody has solved how to persuade the public to accept it without wealth-tax demands or civil unrest.
Chamath frames tariffs as a national-security and resilience choice: excluding BYD might preserve a domestic auto industry while leaving Americans paying more for less technologically capable cars. Friedberg says he would accept that premium if it preserved resource independence and transportation infrastructure that could not be turned off by someone else. Chamath calls the price “strategic flexibility and optionality,” while the unpriced alternative can ultimately be measured in human lives.