Digital Natives as the Fen Tigers of Web Search: Implications for Wayfinding in the AI "Mall"

Digital Natives—those who came of age navigating the early web—developed dense tacit knowledge of information search, including how to triangulate sources, identify credibility signals, follow citation trails, and distinguish signal from noise. This knowledge was built through decades of productive failure and is rarely made explicit. Generative AI has not replaced this ecosystem. It has built a mall on top of it. This study argues that the original, ungovernable information ecology of the early web still exists beneath the AI-curated surface. The Digital Natives who inhabited it brought epistemological priors to their searches—internalized habits of intention, theoretical grounding, and methodological discipline built before any tool existed to do the work for them. These priors determine whether a learner navigates AI as terrain or wanders it as a tourist. Drawing on autoethnographic method, this study presents three vignettes: 1) a database student who used AI to generate a correct ERD without understanding it; 2) an institutional mandate for AI learning outcomes issued before any consensus on what those outcomes should be, and 3) the author’s own breakthrough in using AI ecologically—through context, iteration, and prior knowledge—rather than procedurally. Together, these vignettes support the study’s central claim, that the AI landscape has not replaced the information ecosystem Digital Natives cultivated. It built a mall on top of it. The water table is still there. The pedagogical imperative is to teach students where to dig.