Brave New World - Scholastic - University of Notre Dame

TEXT START: On Sept. 15, OpenAI founder and CEO Sam Altman told mankind that it should indeed be scared of him.

THE DISSECTION

This is an institutional autopsy disguised as an ethics feature. It documents a university caught in a contradiction: Notre Dame must expand AI adoption to remain competitive while preserving an education model whose legitimacy depends on humans doing the thinking, writing, and problem-solving.

The survey shows the contradiction is already operational: 76% use AI weekly, 36% daily, 44% use it on problem sets, and students fear falling behind peers who automate. Notre Dame funds AI, teaches AI, markets human formation, and polices AI-assisted performance. It is feeding the machine and then disciplining students for being consumed by it.

The article does not reject AI. It asks whether Catholic ethics can make adoption morally survivable. That is a management question, not a structural solution.

THE CORE FALLACY

The article treats AI as a problem of curriculum, culture, and moral boundaries rather than ownership and labor substitution. Under the Discontinuity Thesis, the decisive question is whether AI can perform economically necessary cognitive work more cheaply and at greater scale than people. If it can, AI fluency, creativity, critical thinking, and even judgment become filters for a narrower class of roles—not a mass employment guarantee.

Human originality may retain prestige and niche value, but universal scarcity is destroyed when machines can generate competent outputs and improve rapidly. Faith-based ethics cannot repeal competition. Neither can a $50.8 million grant, an AI minor, or an honor code. These may delay adoption, shape behavior, or produce more valuable Servitors. They cannot restore the wage-consumption circuit once production no longer requires most workers.

The article repeatedly substitutes “human flourishing” for “productive participation.” They are not the same asset.

HIDDEN ASSUMPTIONS

• Human creativity and judgment will remain broadly scarce enough to command wages rather than becoming cheap supervisory inputs around AI.
• Employers will reward human-centered education even when machine output is cheaper, faster, and more scalable.
• Universities can preserve academic integrity while their own market incentives push students toward AI competence.
• Regulation, institutional ethics, and religious formation can pace a global competitive race.
• Degrees, networks, and AI fluency will retain labor-market value after AI makes credentialed cognitive output abundant.
• Preparing students for displacement is equivalent to protecting them from displacement.
• AI’s gains will diffuse through society rather than concentrate with model owners, capital holders, infrastructure controllers, and indispensable operators.
• The Chuang/VulaLearn example generalizes from a capable builder to the majority. It does not. It is a transition niche, closer to a Sovereign or Servitor path than evidence of mass viability.

SOCIAL FUNCTION

Primary classification: transition management.

Secondary classifications: partial truth, elite self-exoneration, prestige signaling, and ideological anesthetic.

The article is a partial truth because it accurately records the symptoms: academic cheating, surveillance, concentrated power, job-market fear, institutional hypocrisy, and rapid normalization. Its anesthetic function begins when it implies that faith, critical thinking, dialogue, and ethical AI design can make the transition fundamentally human.

That allows Notre Dame to expand its AI footprint while claiming moral supervision over the consequences. The university converts disruption into grants, programs, credentials, conferences, and prestige. It can say it defended humanity while training people for a system that needs fewer humans. That is elite self-exoneration with a halo.

THE VERDICT

This is a lucid report from inside the machine’s intake chute. Notre Dame sees the labor threat but misidentifies it as a problem of educational adaptation and ethical restraint. Its solution—more AI literacy, more AI research, more faith-based governance, and better human judgment—can create transition niches and a small number of Sovereigns or Servitors. It cannot preserve mass economic necessity.

The university is not steering the old order through the AI transition. It is credentialing the survivors, moralizing the displacement, and calling the process human flourishing. The post-WWII circuit is not repaired; it is being furnished for its own funeral.