Agentic AI's $500 Billion Impact on US Retail by 2030

Agentic AI is on the brink of reshaping U.S. retail, with projections indicating it could account for up to 25% of e-commerce sales by 2030. Retailers must act now to build trust and prepare for this seismic shift in consumer behavior.

bain.com•December 17, 2025•2 min read

Summary

The Bain & Company report on the future of retail highlights a transformative shift towards agentic AI, which is projected to account for 15% to 25% of U.S. e-commerce sales by 2030. This emerging technology, defined as AI agents facilitating the entire purchasing process, is expected to reshape consumer behavior and retail strategies significantly. As the market for agentic commerce could reach between $300 billion and $500 billion, the implications for retailers and brands are profound, necessitating immediate strategic adjustments.

Currently, consumer engagement with generative AI for product research is already notable, with 30% to 45% of U.S. shoppers utilizing these tools. However, there remains a hesitance among consumers to allow AI to manage complete transactions. This reluctance indicates a critical phase for retailers: they must build trust and enhance the infrastructure that supports seamless AI-driven shopping experiences. The report suggests that the adoption of agentic AI will vary across product categories, with more transactional purchases likely to embrace AI sooner than more considered ones, such as apparel or travel.

The competitive landscape will be significantly influenced by how quickly and effectively retailers adapt to this technology. Retailers that proactively develop their agentic commerce strategies will not only enhance customer experience but also retain greater control over data, fulfillment, and checkout processes. This strategic foresight is essential as AI is expected to touch nearly all online shopping interactions by 2030, completing up to a quarter of transactions.

For C-suite executives, the report underscores the urgency of integrating AI into their business models. Retailers must prioritize investments in AI technologies and infrastructure to facilitate agentic commerce. This includes enhancing data analytics capabilities to better understand consumer preferences and behaviors, which will be crucial in fostering trust and encouraging adoption of AI-driven purchasing.

Moreover, as the market evolves, executives should consider partnerships with technology providers to accelerate the development of AI solutions tailored to their specific retail environments. This collaborative approach can help mitigate risks associated with technology adoption while maximizing the potential benefits of agentic AI.

In conclusion, the rise of agentic AI presents both challenges and opportunities for the retail sector. Executives must act decisively to harness this technology, ensuring their organizations are not only prepared for the changes ahead but are also positioned to lead in a rapidly evolving marketplace. By embracing agentic commerce, retailers can enhance customer engagement, streamline operations, and ultimately drive significant revenue growth in the coming years.

Frequently Asked Questions

How significant is the impact of agentic AI on e-commerce sales by 2030?

Bain estimates that agentic AI could account for 15% to 25% of US e-commerce sales, translating to a market size of $300 to $500 billion. This suggests a substantial shift in consumer purchasing behavior towards AI-driven transactions.

What factors will influence the adoption of agentic AI in retail?

Adoption will vary based on product categories and consumer intent, with simpler, price-driven purchases likely to transition first. As consumer trust in AI grows, more complex purchases, such as apparel and travel, will follow.

What should retailers focus on to prepare for the rise of agentic commerce?

Retailers should develop a clear agentic commerce strategy now to maintain control over data, fulfillment, and checkout processes. This proactive approach will help them leverage AI effectively as it becomes more integrated into online shopping.

What percentage of consumers are currently using generative AI for product research?

Between 30% to 45% of US consumers are already utilizing generative AI for product research and comparison. This indicates a growing acceptance of AI tools in the shopping process, even if full transaction handling remains a concern.

What are the implications for retailers regarding consumer trust in AI?

Retailers must recognize that consumer comfort with AI handling transactions is still developing, as many shoppers are hesitant to allow AI to manage end-to-end purchases. Building trust through transparency and reliability will be crucial for increasing adoption rates.