AI-generated fake reviews growing 80% month-over-month make product quality signals unreliable for buyers

Generative AI enables creation of human-like product reviews at unprecedented scale and negligible cost, making it nearly impossible for consumers to distinguish genuine feedback from manufactured endorsements, with roughly 30% of all online reviews now estimated to be fake. So what? Fake reviews cost consumers an estimated $787B in 2025 through misleading purchases of inferior products. So what? Legitimate sellers with genuine positive reviews cannot differentiate themselves, because their authentic signals are drowned out by competitors' manufactured ones. So what? The erosion of review trust pushes consumers toward off-platform research (YouTube, Reddit, influencers), fragmenting the purchase decision funnel and reducing conversion rates for honest sellers. So what? Marketplaces must invest heavily in detection systems, and these costs are passed to sellers through higher platform fees, yet the arms race between generation and detection never reaches equilibrium. So what? When product quality signals break down, price becomes the dominant differentiator, commoditizing products and driving a race to the bottom that punishes quality-focused sellers. The structural root cause is that review systems were designed when reviews required human effort to write, creating a natural cost barrier, but generative AI eliminated that cost barrier while the identity verification and incentive structures of review platforms remain unchanged.