Bernstein US Emerging Internet: Marketplace Moats and Agentic Commerce Disruption Risk
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Bernstein reports that US internet marketplace stocks have declined an average of 19% year to date, driven by intensifying concerns around AI-driven disruption to existing platforms. Despite the theoretical threat from personalized AI agents potentially replacing vertical marketplaces, consumer behavior shifts slowly and AI referral traffic currently accounts for less than 1% of total traffic to leading e-commerce platforms.
Interestingly, consumers arriving via AI channels tend to spend more time and browse more pages, suggesting AI currently functions as an incremental, high-intent referral channel rather than a replacement. Marketplace business models, characterized by asset-light operations, low inventory, efficient working capital, and two-sided network effects, retain durable competitive moats built on trust and reliability.
The internet sector median 2027 GAAP price-to-earnings ratio has compressed to approximately 20 times, with 2026–2028 EPS compound annual growth median of 23%, yielding a median PEG of 0.7 times. Bernstein argues the pessimism around agentic commerce is overdone, noting that delayed AGI timelines, limited consumer acceptance, compute constraints, and a potential shift in AI resources toward enterprise applications could serve as positive catalysts.
The firm highlights DASH, ZG, and UBER as companies with resilient business models warranting selective re-engagement. While Middle East conflict introduces consumer spending uncertainty, if the impact is transitory, 2027 and 2028 earnings estimates should remain largely unaffected. The fundamental gap between AI-assisted search and AI-driven transactions remains unbridged, reinforcing near-term marketplace durability.