As the Open Web Collapses, AI Shifts from Searching to Grounding

This essay analyzes the structural transition from search‑based discovery to grounding‑based retrieval as the open web collapses under SEO manipulation, link rot, and content pollution. It argues that agentic AI systems are becoming the primary interface for knowledge interpretation, while repositories such as Zenodo, Academia, and OSF emerge as the authoritative substrate for durable information. The paper outlines how semantic embeddings, contextual synthesis, and task‑oriented delegation replace traditional search paradigms, transforming the web into a historical archive rather than an active discovery layer. It further examines how Substack and similar platforms function as crisis‑era interpretive surfaces, with repositories absorbing and stabilizing conceptual work over time. The essay contributes to emerging discussions on knowledge infrastructure, AI‑mediated retrieval, and field formation by mapping how coherent archives, stable vocabularies, and repository‑based publication rhythms become increasingly visible to agentic AI systems as grounding replaces search. Keywords:Open Web; Agentic AI; Information Retrieval; Repositories; Grounding; Semantic Indexing; Knowledge Infrastructure; Post‑Web Era