Algorithmic Attention Concentration

The phenomenon by which ranking algorithms on e-commerce platforms and search engines direct consumer attention disproportionately toward top-ranked products or content. Quantified empirically for the first time by Huang et al. in the April 2026 SSRN paper “Ranking Algorithms and Equilibrium Prices,” using complete internal data from a major U.S. e-commerce platform.

Attention concentration gives top-ranked sellers an asymmetric competitive advantage—equivalent to market power—without requiring scale, switching costs, or network effects. It suppresses price sensitivity among consumers (who treat rank as a quality proxy) and removes the incentive for lower-ranked sellers to compete on price, raising equilibrium prices above the competitive level.