Observed Signal · May 19, 2026 · Podcast · Source: Digiday · Impact: 3/5 · Sentiment: Negative
Can Retail Media Networks Survive Agentic Commerce?
A Digiday Podcast episode and accompanying article (May 19, 2026) examines how the rise of agentic commerce — shoppers beginning journeys with large language models (LLMs) and AI agents — could undermine retail media networks (RMNs). An Adobe April report cited in the piece found 55% of people turn to AI for shopping inspiration, which may divert traffic from retailer sites and shrink on-site ad inventory. Retailers are responding by expanding off-site inventory and partnerships (examples include Walmart Connect’s acquisition of smart‑TV maker VIzio, Instacart’s Roku partnerships, and Target testing LLM promotions via Roundel). The article highlights core risks for RMNs around measurement, incrementality and attribution if AI agents become primary shopping entry points.
Agentic commerce could materially change shopping entry points and threaten the traffic and on-site inventory foundations of retail media networks; retailers are already pursuing off-site partnerships and measurement solutions, making this a notable industry trend.
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Key Takeaways & Evidence Grounding
- Digiday published a podcast episode and article on May 19, 2026 exploring agentic commerce and retail media networks.
- An April Adobe report cited in the story found 55% of people turn to AI for shopping inspiration and ideas.
- Retailers are pursuing off-site channels and partnerships to extend RMN reach — examples cited: Walmart Connect’s acquisition of smart‑TV maker VIzio, Instacart’s partnerships with Roku, and Target promoting partners within an LLM via Roundel.
- The article identifies measurement, incrementality and attribution as central challenges for RMNs in an agentic commerce environment.
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Sherry Smith on Retail Media's AI-Driven Future
Sherry Smith, President of Retail Media at Criteo, discusses how agentic AI is reshaping retail media and offers guidance for brands and retailers. She says retail media has matured and predicts three shifts through 2026: retail media will be embedded across digital touchpoints, new native ad formats will emerge that act like helpful recommendations, and advanced automation and optimization will become essential as digital shelf space grows more competitive. Smith advises brands to invest in structured product data, rich content and strong attributes to perform in conversational and context-driven discovery, and to partner closely with retailers and LLM providers. She reiterates that retailers retain core commerce advantages (trust, pricing, fulfillment) and argues retail media will solidify as a foundational revenue engine when integrated with merchandising and long-term brand strategy.
AI Alters Discovery, Retail Media Strategies Evolve
Industry leaders at an ADWEEK House Cannes Lions panel co-hosted with Mirakl Ads discussed how AI 'answer engines' are changing discovery and where retail media fits in the marketing funnel. Panelists argued retail media remains valuable because it meets shoppers at point-of-purchase, but marketers must integrate retail media with search, social and emerging AI channels. Speakers highlighted expanded definitions of retail media and commerce media, the rise of non‑endemic brand buys, and experiential in-store activations (e.g., Best Buy’s 'stores within a store' for Meta Glasses). Lowe’s described using partner data to inform assortment and inspiration-to-action experiences, while brands like Unleashed invest in agency partnerships and training to adapt to faster AI adoption in search. The conversation framed retail media as an evolving journey that must be coordinated across multiple discovery touchpoints.
Agentic Commerce Could Remove Brands From Consideration
At a Cannes Lions session reported by The Drum, Circana speakers Lindsay Pullins and Cara Pratt argued that 'agentic' AI-driven shopping systems are already reshaping commerce. Circana research cited: 10% of North American beauty e‑commerce now comes from social commerce and 70% of shoppers use AI for product discovery/search. In agentic environments, AI agents compare product attributes, price, availability and reviews before consumers engage, meaning brands with inconsistent product data, taxonomies or ambiguous claims risk being excluded from consideration. Retail media is critical because it holds the purchase signals agents need, but measurement fragmentation across retail networks and inconsistent methodologies hinder interoperability. Pullins and Pratt called for brands to test how AI evaluates their products and for industry standardization around measurement and product data to avoid lost visibility and sales.
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