The Rise of Agentic AI in Retail: A New Era for E-Commerce
Big retailers are taking significant steps into the world of agentic AI-led commerce, embracing new technologies and platforms that redefine customer engagement. As they become increasingly reliant on AI, these businesses are willing to sacrifice some customer proximity and data control, fundamentally altering the landscape of online retail.
- The Shift Towards AI Platforms
- Enhanced Consumer Interaction
- Trade-offs of AI Engagement
- Google and the Evolution of Retail Data
- The Squeeze on Retailer Brand Experience
- Amazon’s Independent AI Solutions
- The Inevitable Move to AI Commerce
- Preparing for the Autonomous Shopping Experience
- Empowering Retail Staff with AI Insights
The Shift Towards AI Platforms
Recent advancements in AI have led major retailers like Etsy, Target, and Walmart to integrate their product ranges into third-party AI platforms such as Google’s Gemini and Microsoft’s Copilot. This shift was catalyzed by successful collaborations with OpenAI’s ChatGPT, enabling consumers to complete purchases directly within the AI’s conversational interface. The transition allows retailers to reach customers on platforms where they are already engaged, revolutionizing the online shopping experience.
Enhanced Consumer Interaction
According to a report from Adobe’s 2025 Holiday Shopping findings, AI-driven traffic to U.S. e-commerce sites skyrocketed by 758% year-over-year in November 2025, with staggering increases seen during major shopping events like Cyber Monday. This indicates a seismic change in how consumers are interacting with brands. Katherine Black, a partner at Kearney, highlights the potential for deepened consumer engagement, asserting that as retailers enhance their capabilities within these AI tools, the adoption rates are likely to surge.
Trade-offs of AI Engagement
While the new AI-driven shopping environment offers compelling advantages for retailers, it comes with significant trade-offs. Concerns arise around data ownership and the risk of being sidelined in customer interactions. A staggering 81% of retail executives believe that the rise of generative AI will undermine brand loyalty by 2027. When the discovery, evaluation, and purchase phases occur outside a retailer’s own platform, valuable consumer insights are lost, fundamentally altering the power dynamics in retail.
Google and the Evolution of Retail Data
Google’s CEO, Sundar Pichai, recently unveiled innovative commerce tools for Gemini aimed at guiding customers throughout the shopping journey—from discovery to purchase. This alignment signals a potential shift in data ownership that could leave retailers with incomplete consumer understanding. Nikki Baird from Aptos questions whether shared information will suffice, arguing that the loss of contextual data could lead to a much poorer grasp of customer preferences.
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The Squeeze on Retailer Brand Experience
As shopping and purchases get absorbed into streamlined AI platforms, the unique brand experiences that retailers traditionally provide could be diminished. Kartik Hosanagar from the Wharton School warns that retailers risk becoming mere fulfillment centers if most customer interactions happen on platforms like OpenAI, reducing the direct connection they have with consumers.
Amazon’s Independent AI Solutions
In response to the evolving landscape, Amazon has doubled down on its AI initiatives, launching a dedicated site for its own AI assistant, Alexa+. Unlike its competitors, Amazon has not yet announced plans to engage directly through ChatGPT, but the company is keenly aware of the importance of its proprietary AI tools for shaping the future of shopping.
The Inevitable Move to AI Commerce
Industry experts caution that participation in third-party AI commerce may soon become a necessity. The introduction of features like Instant Checkout in ChatGPT, which could influence merchant rankings, suggests that uploading product catalogs to AI platforms might be the critical first step towards a transformed online retail experience. According to Deloitte, nearly half of retail executives anticipate that the traditional multi-step shopping journey will condense into a single, AI-driven interaction by 2027.
Preparing for the Autonomous Shopping Experience
As we advance, the prospect of consumers relying on autonomous agents to make purchasing decisions on their behalf becomes increasingly plausible. Hosanagar emphasizes that this change will necessitate different data formats and new ways to engage with AI agents. Today’s consumers can access intelligent shopping assistance through AI tools like ChatGPT while in-store, effectively turning their mobile devices into knowledgeable shopping companions.
Empowering Retail Staff with AI Insights
To harness the potential of AI, retailers might need to equip their frontline staff with AI tools that give instant insights into customer preferences and shopping histories. This could enable sales associates to proactively engage with shoppers, notifying them about favorite items being back in stock and increasing conversion rates. As Nikki Baird stated, the objective is to empower store associates to perform at their best in this new digital landscape.
By integrating technology and leveraging AI capabilities, retailers can navigate this transformative period while building stronger connections with their customers. As the boundaries of retail continue to blur, understanding and adapting to these changes will be crucial for sustained success in an increasingly competitive marketplace.
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