The Atlantic this week surfaces new economic research suggesting Ivy League outcomes aren't about education quality at all: they're about network access and signaling to employers who use selectivity as a proxy for capability. At the same time, Fast Company reports that managing AI has become its own distinct job function, with employees tasked with translating between managerial efficiency fantasies and the actual messy reality of deploying AI tools. These stories are two sides of the same credential anxiety: what signals competence when the tools that previously sorted people are either inherited (elite degrees) or automated (AI)?
The Network Premium and AI Middle Management
The Ivy research finding, broadly, is that the earnings premium for elite graduates is explained almost entirely by who you meet, not what you learn. Now layer on top of that: companies are creating a new tier of AI-wrangling roles that require no specific credential but enormous practical judgment. The person who can actually get Claude or GPT to do useful work inside a bureaucratic organization is worth more than the MBA who can theorize about AI transformation. This is a skill that cannot yet be credentialed, which means it's being sorted informally, exactly like elite network access, through proximity and demonstration. Founders building in this space, HR tech, AI workflow tooling, credential alternatives, are increasingly interesting to New York angel investors who backed the future-of-work wave and are looking for the next layer.
What the DAR and Artemis Have in Common With Elite Education
There's a telling cultural parallel in The Atlantic's piece on Black women changing the DAR, the 136-year-old Daughters of the American Revolution. The organization is a credential of ancestry, not achievement, yet it carries social capital because of what it signals about belonging to a particular American narrative. Elite universities, the DAR, and now AI management roles all operate on the same underlying logic: access to a scarce network that certifies you as inside rather than outside. The question the AI job economy forces is whether that logic can survive a moment when the definition of 'inside' is rewriting itself in real time. A 2023 paper in the Journal of Labor Economics by Zimmerman found that elite college attendance affects earnings through peer networks rather than human capital accumulation, a finding that becomes structurally destabilizing when those networks are increasingly supplemented by digital ones anyone can join.