Key takeaways
- 43.6% of brands already use AI agents in at least one major area, and 26% have expanded across multiple touchpoints
- 82.4% of brands see the highest ROI in product discovery, followed by support (73.1%) and post-purchase interactions (68.3%)
- The top drivers of adoption are 24/7 customer expectations (30.8%) and improving CX at scale (26%), not cost reduction.
- The future is hybrid: 43.9% expect AI to handle most conversations, with humans managing edge cases
How ecommerce leaders are adopting AI agents, where they’re seeing real ROI, and what the future of commerce looks like.
The State of AI Agents in eCommerce 2026 report brings together insights from 312 ecommerce professionals - including founders, CX leaders, product heads, and support teams - to understand how AI agents are transforming modern commerce.
Our respondents represent a cross-functional view of ecommerce, where AI agents in customer experience, revenue, and product decisions increasingly overlap.
67% of respondents working on AI agents report active involvement in deployment or planning stages.
Adoption and challenges vary by company size, with larger organizations moving more cautiously while smaller firms tend to adopt AI-powered CRM faster with different priorities.
Introduction to AI Agents in eCommerce
AI agents are rapidly transforming the eCommerce landscape, empowering businesses to automate complex tasks, deliver real-time personalization, and unlock new avenues for revenue growth.
These intelligent agents operate autonomously, leveraging artificial intelligence to interpret consumer intent, analyze vast amounts of data, and make decisions that optimize business processes, all with minimal human intervention.
As a result, companies are seeing significant efficiency gains and higher levels of customer satisfaction, as AI agents streamline everything from product discovery to post-purchase support.
Technology companies are at the forefront of this shift, continually advancing AI agents' capabilities to meet evolving market demands.
By embedding eCommerce agents into their digital ecosystems, businesses can respond faster to customer needs, personalize experiences at scale, and ultimately drive more revenue.
As AI becomes an essential part of the eCommerce toolkit, organizations that embrace intelligent agents are better positioned to stay competitive and deliver the seamless, responsive experiences today’s consumers expect.
Why is AI becoming a foundational layer in eCommerce?
In this report, we explore:
- How AI agents are being adopted across ecommerce
- Where are they delivering the highest ROI
- What’s driving (and slowing) adoption
- How teams are evolving alongside AI
- What the future of AI-led commerce looks like
- Strategies driving AI adoption and how organizations embed AI into their workflows
Over the past year, one thing has become clear: AI is no longer an add-on. It’s becoming a foundational layer of ecommerce.
The pattern is clear: AI agents are moving from support tools to revenue-driving systems.
AI tools play a crucial role in building effective AI strategies, and, compared to AI agents, they are transforming ecommerce operations by enabling automation, efficiency, and innovation.
AI adoption vs maturity: Where the market stands today
43.6% of brands already use AI agents, but only 4.8% say it’s core to their strategy
AI adoption in ecommerce has reached a point where it is no longer optional, but it is also not fully mature.
A significant portion of brands (43.6%) are already using AI agents in at least one major area, while another 26% have implemented AI across multiple touchpoints.
At the same time, 17.3% of companies are still in the pilot phase, experimenting and building foundational capabilities.
Many organizations report that their AI initiatives remain primarily in pilot phases, with limited scaling across business functions.
Most enterprises start with pilots and scale AI agents across workflows in five phases of adoption. Security, compliance, and integration complexity are major barriers preventing enterprises from scaling AI agents faster.
These barriers are especially pronounced for enterprise AI and larger companies, which tend to be more cautious and face unique challenges when scaling agents and scaling AI agents across business functions.
A smaller group, 8.3%, has not yet adopted AI, representing late adopters in the market. Perhaps the most telling number is that only 4.8% of respondents say AI is already core to their commerce strategy.
This gap between adoption and maturity highlights where the market stands today. AI is widely deployed, but most organizations are still figuring out how deeply it should be embedded into their operations.
Why has AI adoption reached the leadership and boardroom level?
29.2% of respondents are C-level executives, showing AI has moved to the boardroom
The composition of respondents reveals an important shift in how AI is being approached inside organizations. 29.2% of participants are C-level executives, with additional representation from CX leaders, sales teams, and product heads.
This distribution reflects a broader trend: AI is no longer owned by a single department. Instead, it sits at the intersection of revenue, customer experience, and product strategy.
Decisions about AI are increasingly being made at the leadership level, which explains why conversations have shifted from operational efficiency to growth and competitive advantage.
AI success is often driven by leadership engagement, organizational ambition, and workflow redesign, enabling transformative business impact across functions.
Driving AI adoption requires not only technical teams but also business teams to take charge of building and deploying AI agents, AI agent adoption is not just for developers.
In other words, AI is no longer a support initiative; it is a strategic priority.
Where do AI agents deliver the highest ROI in eCommerce?
82.4% of brands see the highest ROI in product discovery, not support
One of the clearest insights from the report is where AI agents are actually delivering value.
While support remains a strong use case, 82.4% of respondents report that AI drives the highest ROI in pre-purchase product discovery, making it the top-performing area.
AI agents are being deployed across various business functions, including customer service, AI in sales, and marketing, to optimize workflows and enhance customer engagement by improving customer service, sales, and marketing efforts.
Customer support and FAQs follow closely at 73.1%, with 68.3% citing order tracking and post-purchase interactions as high-impact areas.
Revenue-oriented use cases are also gaining traction, with 49.4% pointing to cart recovery and 47.8% to upselling and cross-selling.
AI-driven marketing strategies, such as content creation, ecommerce marketing automation, and customer engagement, are becoming crucial for building competitive advantage and scaling business growth.
This distribution highlights a critical shift. AI is no longer limited to reducing support workload, it is actively influencing buying decisions.
AI agents are advancing from basic chatbots to autonomous, adaptive systems capable of delivering personalized experiences that boost customer satisfaction and revenue.
The highest impact occurs in moments where customers are evaluating options, resolving doubts, and deciding whether to purchase.
AI agents are driving ROI where decisions happen
From product discovery to post-purchase, AI is actively influencing what they buy and when they convert.
What are the key drivers of AI adoption in eCommerce?
30.8% adopt AI for 24/7 support, while only 9% are driven by cost reduction
For years, automation in ecommerce was framed as a cost-saving initiative. This report tells a different story.
The leading driver of AI adoption is the need to provide 24/7 customer support, cited by 30.8% of respondents, followed by 26% who want to improve customer experience at scale.
Competitive pressure is also a factor, with 14.1% of brands adopting AI to stay ahead, while 12.2% point to rising support volume as a trigger.
Interestingly, only 9% of respondents cite cost reduction as the primary motivation.
This marks a significant shift in mindset. AI is no longer being adopted to cut costs; it is being adopted to meet rising customer expectations and drive growth.
AI deployment channels: Beyond website chat
81.7% deploy AI on website chat, but 69.9% are already using it in voice and messaging
AI agents are rapidly expanding beyond traditional website chat into a broader set of communication channels.
While 81.7% of brands deploy AI on their website, a large share are also using more direct conversational AI channels such as voice and messaging.
Specifically, 69.9% use AI in voice or call interactions, while 67.9% deploy it through SMS or messaging platforms, and 62.8% use it in email workflows.
Social channels are also emerging, with 36.9% using AI in DMs, and adoption in platforms like WhatsApp continuing to grow.
This reflects a broader shift in ecommerce behavior. Customers are increasingly interacting through private, real-time channels, and AI is being deployed wherever those conversations are happening.
When comparing deployment methods, organizations are leveraging both AI tools and AI agents, but not all deployment strategies or tools are equally effective for every organization or use case.
What are the biggest challenges in adopting AI agents?
33.3% say ROI uncertainty is the biggest barrier, more than brand or accuracy concerns
Despite strong adoption, challenges remain, but they are evolving. The biggest concern among respondents is ROI clarity, cited by 33.3%, followed closely by data privacy and compliance at 30.4%.
However, performance quality is the top concern for organizations implementing AI agents, significantly outweighing other factors like cost and safety.
The time investment needed to build and deploy AI agents is also significant, often requiring extensive debugging and evaluation.
Concerns around control and brand alignment are still present, with around 11–12% of respondents worried about losing control over interactions or maintaining brand voice consistency.
Notably, traditional concerns such as hallucinations and accuracy are now relatively low, indicating that technology reliability has improved significantly.
It’s important to note that not all language models (LLMs) or AI agents are the same; some are specialized for specific domains, while others may not be suitable for every application, making the choice of model and deployment strategy critical.
This shift in concerns signals a maturing market. Companies are no longer questioning whether AI works; they are asking whether it delivers measurable business outcomes.
Why is human oversight still critical for AI agents?
While AI agents bring powerful automation and intelligence to business operations, human oversight remains a critical component of successful deployment.
Intelligent agents can handle a wide range of customer service automation tasks, but ensuring their actions align with company values and objectives requires ongoing human intervention.
By implementing robust monitoring and evaluation protocols, businesses can track agent behavior, quickly identify anomalies, and make adjustments as needed to maintain high standards of service.
This balance between autonomy and oversight is especially important in customer-facing roles, where the quality of interactions directly impacts customer satisfaction and brand reputation.
Human oversight not only safeguards against unintended consequences but also enables companies to continuously refine their AI agents, ensuring they deliver consistent, high-quality support.
As businesses scale their use of AI agents, maintaining this partnership between technology and human expertise will be key to maximizing benefits while minimizing risks.
The future of AI in eCommerce: A hybrid model
43.9% expect AI to handle most conversations, but only 13.1% see a fully AI-led future
The future of ecommerce is not about replacing humans with AI, but about redefining their roles.
According to the survey, 43.9% of respondents expect AI to handle most conversations while humans manage edge cases, while 23.7% believe AI will assist human teams with recommendations and summaries.
A smaller group, 14.1%, sees humans continuing to lead with AI supporting repetitive tasks, and only 13.1% predict a fully AI-led environment.
This distribution clearly points toward a hybrid model. AI is best suited for handling scale and speed, while humans remain essential for handling complexity, emotion, and nuanced decision-making.
As companies prepare for the next wave of AI innovation, mastering reliable and controllable AI agents will be key to leading and shaping future standards in intelligent automation.
Looking ahead, multi-agent systems are emerging as a future development, enabling orchestration and collaboration across networks of AI agents for complex task management and collective problem-solving.
However, most companies remain cautious about allowing AI agents to operate without human oversight, often requiring human approval for significant actions.
AI’s growing importance in Commerce
92.9% believe AI will become more important, making it the strongest consensus in the report
Perhaps the most decisive finding in the entire report is the level of agreement on AI’s future importance.
An overwhelming 92.9% of respondents believe AI will become more important in ecommerce over time.
This level of consensus is rare and reflects a fundamental shift in perception.
AI is no longer seen as a tool to solve isolated problems; it is increasingly viewed as a foundational layer of commerce, similar to payments, logistics, or storefront infrastructure.
Enterprise AI is now being integrated into business strategies, especially within large organizations, with AI agents playing a central role in driving transformation.
However, achieving AI success requires not only ambition and leadership engagement but also clear communication of AI agent capabilities and behaviors to stakeholders, a challenge that many organizations still face.
Also read: How AI is transforming eCommerce: A new era of possibilities.
Is AI primarily a CX layer or a revenue driver?
49.4% expect AI to become a major CX layer, while only 9% see it as a core revenue driver (for now)
When looking ahead, most leaders still associate AI primarily with customer experience. 49.4% expect AI to become a major support and CX layer, while 16.7% see it as a secondary tool , and 15.7% expect it to remain limited or experimental.
Interestingly, only 9% of respondents currently view AI as a core driver of revenue, despite earlier data showing a strong impact in areas like product discovery, cart recovery, and upselling.
This suggests that while AI is already influencing revenue, many organizations still perceive it primarily as a support function.
That perception is likely to shift as AI agents become more autonomous and integrated into buying journeys.
Unlike generative AI for sales, which creates content based on prompts, agentic AI performs autonomous actions and completes complex workflows in real time.
AI agents also leverage natural language processing to transform research, analytics, and customer interactions, enabling users to surface competitor insights, analyze customer data, and convert natural language queries into actionable results.
Furthermore, AI agents can adapt to complex situations, learn from interactions, and deliver personalized experiences that drive customer satisfaction and revenue growth.
Agent adoption across industries
The adoption of AI agents is accelerating across a diverse range of industries, with technology companies leading the way in innovation and implementation.
However, sectors such as finance, healthcare, and retail are also recognizing the transformative potential of AI agent adoption.
By deploying intelligent agents, these organizations are able to automate routine tasks, enhance customer experience, and streamline workflow automation.
One of the most significant advantages of AI agents is their ability to process and analyze large volumes of customer data, providing actionable insights that inform smarter decision making and drive revenue growth.
As more companies invest in agent adoption, they are discovering new opportunities to personalize interactions, optimize business processes, and respond to market changes with greater agility.
This cross-industry momentum is fueling a new wave of AI-driven innovation, positioning AI agents as a cornerstone of modern business strategy.
What methodology was used in this AI agents report?
To provide a comprehensive view of the state of AI agent adoption, this report draws on insights from a survey of over 1,000 business leaders across multiple industries.
The research methodology combined both qualitative and quantitative approaches, including in-depth interviews, structured surveys, and real-world case studies.
This multi-faceted approach allowed us to capture a wide range of perspectives, from early adopters to organizations just beginning their AI journey.
By analyzing data from diverse business functions and sectors, the study identifies key findings and trends shaping the current landscape of AI agent adoption.
The research also explores the challenges and successes experienced by companies as they deploy and scale AI agents, offering valuable lessons for those looking to drive AI adoption within their own organizations.
This rigorous methodology ensures that the insights presented are both actionable and relevant for business leaders navigating the evolving state of AI.
Final thoughts
If you step back and look at the data as a whole, a clear pattern emerges. Ecommerce is moving away from static, self-serve experiences and toward guided, conversational journeys.
Customers no longer want to browse endlessly - they want to decide quickly and confidently.
AI agents are enabling that shift. They are not just answering questions. They are:
- guiding discovery
- resolving hesitation
- accelerating decisions
And that is why their impact is growing so rapidly.
The companies that will benefit the most are not the ones experimenting with AI in isolation, but the ones integrating it into core decision-making moments across the customer journey.
The report's key insights highlight that AI success in ecommerce is driven by leadership engagement, workflow redesign, and scaling AI initiatives, factors that enable high performers to achieve transformative business impact.
Thanks for your time
Thank you for taking the time to read this State of AI Agents in eCommerce report!
Frequently asked questions
1. How widely are AI agents adopted in eCommerce today?
According to the report, 43.6% of brands already use AI agents in at least one major area, while 26% have expanded them across multiple touchpoints, showing rapid but still maturing adoption.
2. Where do AI agents deliver the highest ROI?
AI agents generate the highest ROI in product discovery (82.4%), followed by customer support (73.1%) and post-purchase interactions (68.3%), indicating their growing influence on buying decisions.
3. Why are companies adopting AI agents?
The primary drivers are 24/7 customer expectations (30.8%) and the need to improve customer experience at scale (26%), not just cost reduction.
4. What challenges do companies face when adopting AI agents?
The biggest challenges include:
- ROI clarity (33.3%)
- Data privacy and compliance (30.4%)
- Integration and scaling complexities, especially for larger enterprises
5. Should small businesses invest in AI agents?
Yes. In fact, smaller companies often adopt AI faster, using it to compete with larger players through automation, personalization, and efficiency.
Key takeaways
How ecommerce leaders are adopting AI agents, where they’re seeing real ROI, and what the future of commerce looks like.
The State of AI Agents in eCommerce 2026 report brings together insights from 312 ecommerce professionals - including founders, CX leaders, product heads, and support teams - to understand how AI agents are transforming modern commerce.
Our respondents represent a cross-functional view of ecommerce, where AI agents in customer experience, revenue, and product decisions increasingly overlap.
67% of respondents working on AI agents report active involvement in deployment or planning stages.
Adoption and challenges vary by company size, with larger organizations moving more cautiously while smaller firms tend to adopt AI-powered CRM faster with different priorities.
Introduction to AI Agents in eCommerce
AI agents are rapidly transforming the eCommerce landscape, empowering businesses to automate complex tasks, deliver real-time personalization, and unlock new avenues for revenue growth.
These intelligent agents operate autonomously, leveraging artificial intelligence to interpret consumer intent, analyze vast amounts of data, and make decisions that optimize business processes, all with minimal human intervention.
As a result, companies are seeing significant efficiency gains and higher levels of customer satisfaction, as AI agents streamline everything from product discovery to post-purchase support.
Technology companies are at the forefront of this shift, continually advancing AI agents' capabilities to meet evolving market demands.
By embedding eCommerce agents into their digital ecosystems, businesses can respond faster to customer needs, personalize experiences at scale, and ultimately drive more revenue.
As AI becomes an essential part of the eCommerce toolkit, organizations that embrace intelligent agents are better positioned to stay competitive and deliver the seamless, responsive experiences today’s consumers expect.
Why is AI becoming a foundational layer in eCommerce?
In this report, we explore:
Over the past year, one thing has become clear: AI is no longer an add-on. It’s becoming a foundational layer of ecommerce.
The pattern is clear: AI agents are moving from support tools to revenue-driving systems.
AI tools play a crucial role in building effective AI strategies, and, compared to AI agents, they are transforming ecommerce operations by enabling automation, efficiency, and innovation.
AI adoption vs maturity: Where the market stands today
43.6% of brands already use AI agents, but only 4.8% say it’s core to their strategy
AI adoption in ecommerce has reached a point where it is no longer optional, but it is also not fully mature.
A significant portion of brands (43.6%) are already using AI agents in at least one major area, while another 26% have implemented AI across multiple touchpoints.
At the same time, 17.3% of companies are still in the pilot phase, experimenting and building foundational capabilities.
Many organizations report that their AI initiatives remain primarily in pilot phases, with limited scaling across business functions.
Most enterprises start with pilots and scale AI agents across workflows in five phases of adoption. Security, compliance, and integration complexity are major barriers preventing enterprises from scaling AI agents faster.
These barriers are especially pronounced for enterprise AI and larger companies, which tend to be more cautious and face unique challenges when scaling agents and scaling AI agents across business functions.
A smaller group, 8.3%, has not yet adopted AI, representing late adopters in the market. Perhaps the most telling number is that only 4.8% of respondents say AI is already core to their commerce strategy.
This gap between adoption and maturity highlights where the market stands today. AI is widely deployed, but most organizations are still figuring out how deeply it should be embedded into their operations.
Why has AI adoption reached the leadership and boardroom level?
29.2% of respondents are C-level executives, showing AI has moved to the boardroom
The composition of respondents reveals an important shift in how AI is being approached inside organizations. 29.2% of participants are C-level executives, with additional representation from CX leaders, sales teams, and product heads.
This distribution reflects a broader trend: AI is no longer owned by a single department. Instead, it sits at the intersection of revenue, customer experience, and product strategy.
Decisions about AI are increasingly being made at the leadership level, which explains why conversations have shifted from operational efficiency to growth and competitive advantage.
AI success is often driven by leadership engagement, organizational ambition, and workflow redesign, enabling transformative business impact across functions.
Driving AI adoption requires not only technical teams but also business teams to take charge of building and deploying AI agents, AI agent adoption is not just for developers.
In other words, AI is no longer a support initiative; it is a strategic priority.
Where do AI agents deliver the highest ROI in eCommerce?
82.4% of brands see the highest ROI in product discovery, not support
One of the clearest insights from the report is where AI agents are actually delivering value.
While support remains a strong use case, 82.4% of respondents report that AI drives the highest ROI in pre-purchase product discovery, making it the top-performing area.
AI agents are being deployed across various business functions, including customer service, AI in sales, and marketing, to optimize workflows and enhance customer engagement by improving customer service, sales, and marketing efforts.
Customer support and FAQs follow closely at 73.1%, with 68.3% citing order tracking and post-purchase interactions as high-impact areas.
Revenue-oriented use cases are also gaining traction, with 49.4% pointing to cart recovery and 47.8% to upselling and cross-selling.
AI-driven marketing strategies, such as content creation, ecommerce marketing automation, and customer engagement, are becoming crucial for building competitive advantage and scaling business growth.
This distribution highlights a critical shift. AI is no longer limited to reducing support workload, it is actively influencing buying decisions.
AI agents are advancing from basic chatbots to autonomous, adaptive systems capable of delivering personalized experiences that boost customer satisfaction and revenue.
The highest impact occurs in moments where customers are evaluating options, resolving doubts, and deciding whether to purchase.
AI agents are driving ROI where decisions happen
From product discovery to post-purchase, AI is actively influencing what they buy and when they convert.
What are the key drivers of AI adoption in eCommerce?
30.8% adopt AI for 24/7 support, while only 9% are driven by cost reduction
For years, automation in ecommerce was framed as a cost-saving initiative. This report tells a different story.
The leading driver of AI adoption is the need to provide 24/7 customer support, cited by 30.8% of respondents, followed by 26% who want to improve customer experience at scale.
Competitive pressure is also a factor, with 14.1% of brands adopting AI to stay ahead, while 12.2% point to rising support volume as a trigger.
Interestingly, only 9% of respondents cite cost reduction as the primary motivation.
This marks a significant shift in mindset. AI is no longer being adopted to cut costs; it is being adopted to meet rising customer expectations and drive growth.
AI deployment channels: Beyond website chat
81.7% deploy AI on website chat, but 69.9% are already using it in voice and messaging
AI agents are rapidly expanding beyond traditional website chat into a broader set of communication channels.
While 81.7% of brands deploy AI on their website, a large share are also using more direct conversational AI channels such as voice and messaging.
Specifically, 69.9% use AI in voice or call interactions, while 67.9% deploy it through SMS or messaging platforms, and 62.8% use it in email workflows.
Social channels are also emerging, with 36.9% using AI in DMs, and adoption in platforms like WhatsApp continuing to grow.
This reflects a broader shift in ecommerce behavior. Customers are increasingly interacting through private, real-time channels, and AI is being deployed wherever those conversations are happening.
When comparing deployment methods, organizations are leveraging both AI tools and AI agents, but not all deployment strategies or tools are equally effective for every organization or use case.
What are the biggest challenges in adopting AI agents?
33.3% say ROI uncertainty is the biggest barrier, more than brand or accuracy concerns
Despite strong adoption, challenges remain, but they are evolving. The biggest concern among respondents is ROI clarity, cited by 33.3%, followed closely by data privacy and compliance at 30.4%.
However, performance quality is the top concern for organizations implementing AI agents, significantly outweighing other factors like cost and safety.
The time investment needed to build and deploy AI agents is also significant, often requiring extensive debugging and evaluation.
Concerns around control and brand alignment are still present, with around 11–12% of respondents worried about losing control over interactions or maintaining brand voice consistency.
Notably, traditional concerns such as hallucinations and accuracy are now relatively low, indicating that technology reliability has improved significantly.
It’s important to note that not all language models (LLMs) or AI agents are the same; some are specialized for specific domains, while others may not be suitable for every application, making the choice of model and deployment strategy critical.
This shift in concerns signals a maturing market. Companies are no longer questioning whether AI works; they are asking whether it delivers measurable business outcomes.
Why is human oversight still critical for AI agents?
While AI agents bring powerful automation and intelligence to business operations, human oversight remains a critical component of successful deployment.
Intelligent agents can handle a wide range of customer service automation tasks, but ensuring their actions align with company values and objectives requires ongoing human intervention.
By implementing robust monitoring and evaluation protocols, businesses can track agent behavior, quickly identify anomalies, and make adjustments as needed to maintain high standards of service.
This balance between autonomy and oversight is especially important in customer-facing roles, where the quality of interactions directly impacts customer satisfaction and brand reputation.
Human oversight not only safeguards against unintended consequences but also enables companies to continuously refine their AI agents, ensuring they deliver consistent, high-quality support.
As businesses scale their use of AI agents, maintaining this partnership between technology and human expertise will be key to maximizing benefits while minimizing risks.
The future of AI in eCommerce: A hybrid model
43.9% expect AI to handle most conversations, but only 13.1% see a fully AI-led future
The future of ecommerce is not about replacing humans with AI, but about redefining their roles.
According to the survey, 43.9% of respondents expect AI to handle most conversations while humans manage edge cases, while 23.7% believe AI will assist human teams with recommendations and summaries.
A smaller group, 14.1%, sees humans continuing to lead with AI supporting repetitive tasks, and only 13.1% predict a fully AI-led environment.
This distribution clearly points toward a hybrid model. AI is best suited for handling scale and speed, while humans remain essential for handling complexity, emotion, and nuanced decision-making.
As companies prepare for the next wave of AI innovation, mastering reliable and controllable AI agents will be key to leading and shaping future standards in intelligent automation.
Looking ahead, multi-agent systems are emerging as a future development, enabling orchestration and collaboration across networks of AI agents for complex task management and collective problem-solving.
However, most companies remain cautious about allowing AI agents to operate without human oversight, often requiring human approval for significant actions.
AI’s growing importance in Commerce
92.9% believe AI will become more important, making it the strongest consensus in the report
Perhaps the most decisive finding in the entire report is the level of agreement on AI’s future importance.
An overwhelming 92.9% of respondents believe AI will become more important in ecommerce over time.
This level of consensus is rare and reflects a fundamental shift in perception.
AI is no longer seen as a tool to solve isolated problems; it is increasingly viewed as a foundational layer of commerce, similar to payments, logistics, or storefront infrastructure.
Enterprise AI is now being integrated into business strategies, especially within large organizations, with AI agents playing a central role in driving transformation.
However, achieving AI success requires not only ambition and leadership engagement but also clear communication of AI agent capabilities and behaviors to stakeholders, a challenge that many organizations still face.
Is AI primarily a CX layer or a revenue driver?
49.4% expect AI to become a major CX layer, while only 9% see it as a core revenue driver (for now)
When looking ahead, most leaders still associate AI primarily with customer experience. 49.4% expect AI to become a major support and CX layer, while 16.7% see it as a secondary tool , and 15.7% expect it to remain limited or experimental.
Interestingly, only 9% of respondents currently view AI as a core driver of revenue, despite earlier data showing a strong impact in areas like product discovery, cart recovery, and upselling.
This suggests that while AI is already influencing revenue, many organizations still perceive it primarily as a support function.
That perception is likely to shift as AI agents become more autonomous and integrated into buying journeys.
Unlike generative AI for sales, which creates content based on prompts, agentic AI performs autonomous actions and completes complex workflows in real time.
AI agents also leverage natural language processing to transform research, analytics, and customer interactions, enabling users to surface competitor insights, analyze customer data, and convert natural language queries into actionable results.
Furthermore, AI agents can adapt to complex situations, learn from interactions, and deliver personalized experiences that drive customer satisfaction and revenue growth.
Agent adoption across industries
The adoption of AI agents is accelerating across a diverse range of industries, with technology companies leading the way in innovation and implementation.
However, sectors such as finance, healthcare, and retail are also recognizing the transformative potential of AI agent adoption.
By deploying intelligent agents, these organizations are able to automate routine tasks, enhance customer experience, and streamline workflow automation.
One of the most significant advantages of AI agents is their ability to process and analyze large volumes of customer data, providing actionable insights that inform smarter decision making and drive revenue growth.
As more companies invest in agent adoption, they are discovering new opportunities to personalize interactions, optimize business processes, and respond to market changes with greater agility.
This cross-industry momentum is fueling a new wave of AI-driven innovation, positioning AI agents as a cornerstone of modern business strategy.
What methodology was used in this AI agents report?
To provide a comprehensive view of the state of AI agent adoption, this report draws on insights from a survey of over 1,000 business leaders across multiple industries.
The research methodology combined both qualitative and quantitative approaches, including in-depth interviews, structured surveys, and real-world case studies.
This multi-faceted approach allowed us to capture a wide range of perspectives, from early adopters to organizations just beginning their AI journey.
By analyzing data from diverse business functions and sectors, the study identifies key findings and trends shaping the current landscape of AI agent adoption.
The research also explores the challenges and successes experienced by companies as they deploy and scale AI agents, offering valuable lessons for those looking to drive AI adoption within their own organizations.
This rigorous methodology ensures that the insights presented are both actionable and relevant for business leaders navigating the evolving state of AI.
Final thoughts
If you step back and look at the data as a whole, a clear pattern emerges. Ecommerce is moving away from static, self-serve experiences and toward guided, conversational journeys.
Customers no longer want to browse endlessly - they want to decide quickly and confidently.
AI agents are enabling that shift. They are not just answering questions. They are:
And that is why their impact is growing so rapidly.
The companies that will benefit the most are not the ones experimenting with AI in isolation, but the ones integrating it into core decision-making moments across the customer journey.
The report's key insights highlight that AI success in ecommerce is driven by leadership engagement, workflow redesign, and scaling AI initiatives, factors that enable high performers to achieve transformative business impact.
Thanks for your time
Thank you for taking the time to read this State of AI Agents in eCommerce report!
Frequently asked questions
1. How widely are AI agents adopted in eCommerce today?
According to the report, 43.6% of brands already use AI agents in at least one major area, while 26% have expanded them across multiple touchpoints, showing rapid but still maturing adoption.
2. Where do AI agents deliver the highest ROI?
AI agents generate the highest ROI in product discovery (82.4%), followed by customer support (73.1%) and post-purchase interactions (68.3%), indicating their growing influence on buying decisions.
3. Why are companies adopting AI agents?
The primary drivers are 24/7 customer expectations (30.8%) and the need to improve customer experience at scale (26%), not just cost reduction.
4. What challenges do companies face when adopting AI agents?
The biggest challenges include:
5. Should small businesses invest in AI agents?
Yes. In fact, smaller companies often adopt AI faster, using it to compete with larger players through automation, personalization, and efficiency.
Shivani Tripathi
Shivani TripathiShivani is a passionate writer who found her calling in storytelling and content creation. At Salesmate, she collaborates with a dynamic team of creators to craft impactful narratives around marketing and sales. She has a keen curiosity for new ideas and trends, always eager to learn and share fresh perspectives. Known for her optimism, Shivani believes in turning challenges into opportunities. Outside of work, she enjoys introspection, observing people, and finding inspiration in everyday moments.