A tenured academic with an endowed chair and editor-in-chief position argues that AI has killed academia as we know it by making traditional volume-based metrics meaningless. The author, who has supervised students, won awards, and founded an international journal, contends that the academic reward system built on maximalism—most grants, papers, and students—faces fundamental disruption.

Student assignments represent the visible casualty. While poor AI usage remains detectable through formatting errors and hallucinated citations, sophisticated students using multiple tools like Claude and ChatGPT can produce undetectable, high-quality work that earns better grades than human writing. This creates a perverse incentive structure where AI-savvy students are rewarded while those writing authentic but flawed essays are penalized.

Research applications face similar disruption through mass production of publishable content. Review articles, methodology pieces, and theoretical syntheses can now be generated at volume using tools like Consensus combined with AI subscriptions. Grant applications become error-free through AI assistance, potentially overwhelming systems like CIHR when submission volumes triple.

Institutional responses lag significantly behind reality. While universities reasonably focus on coursework redesign and cheating prevention, the research side remains largely unaddressed two years into the AI revolution. Journals offer minimal guidance beyond self-declarations. The author concludes that academia's version based on written content submission for rewards is already dead—it just hasn't been buried yet.