Dan Proft discussed a growing body of analysis suggesting the sharpest economic divide in America today may not be between baby boomers and millennials broadly, but rather within the millennial generation itself, separating those with financial support from parents from those without. Proft welcomed Aaron Brown, a longtime hedge fund risk manager and author of the newly released Wrong Number: How to Extract Truth from a Blizzard of Quantitative Disinformation, to unpack the dynamic.
Brown explained his contention that many young Americans today are effectively purchasing at full price advantages their grandparents received largely for free, including safe neighborhoods, strong schools, and affordable housing. He said mid-twentieth century middle-class American families often benefited from a relatively homogeneous, stable social environment that, while sometimes culturally restrictive, provided low-cost access to security and community infrastructure that today’s housing markets no longer offer at comparable prices. Brown argued that millennials whose parents can provide financial assistance face a substantially easier path toward homeownership and family formation than those competing for the same limited housing stock without that support, effectively creating two distinct economic experiences within a single generation.
Proft connected this discussion to research on family structure and educational outcomes, citing a piece by charter school network leader Ian Rowe and American Enterprise Institute scholar Brad Wilcox examining racial disparities in admission to elite public schools such as Stuyvesant High School in New York City. Proft noted the piece’s finding that roughly 80 percent of Asian children nationally live with married birth parents compared to about 30 percent of Black children, arguing that family structure predicts educational success and selective school admission as strongly as, or more strongly than, race itself. Brown, while cautioning that family sociology falls outside his primary area of expertise, agreed that wealth accumulation functions fundamentally as a multigenerational family project, and that intact family structures historically provided the kind of intergenerational support that eases financial hardship for younger generations.
Asked what policy changes might address these disparities, Brown expressed skepticism toward top-down fixes, instead advocating for removing structural barriers such as restrictive land use regulations and excessive occupational licensing requirements that he said allow earlier arrivals to effectively price out newcomers. He pointed to states pursuing more permissive regulatory environments as evidence that reducing such barriers can successfully attract both talent and business investment.
The conversation turned to federal fiscal policy, with Proft playing comments from Elon Musk reflecting on his prior involvement with the Department of Government Efficiency, in which Musk acknowledged becoming more politically engaged than he had originally intended while describing frustrations encountering resistance to basic spending verification, including instances where recipients of foreign aid funding could not be directly connected with the funds’ intended destination. Brown said he believes the country faces a serious structural fiscal problem rooted not primarily in the scale of the national debt itself, but in a persistent lack of budgetary discipline that shows no clear sign of resolving through improved political leadership. Rather than expecting fiscal responsibility from Washington, Brown argued the more realistic path forward involves sustaining strong economic growth capable of outpacing government inefficiency, citing continued innovation and the ability to attract global talent as the country’s best long-term strategy. Asked directly about artificial intelligence’s role in that growth trajectory, Brown said he remains firmly optimistic that AI will resolve significant economic challenges even as it introduces new ones, expressing a preference for confronting new problems rather than continuing to grapple indefinitely with existing ones.