Nine out of ten retailers plan to boost AI spending in 2026 according to NVIDIA’s latest survey, reflecting a growing reliance on technology for efficiency and customer engagement.
NVIDIA recently released its third annual State of AI in Retail and Consumer Packaged Goods (CPG) survey, revealing a significant shift in how retailers implement artificial intelligence (AI). The survey indicates that 90% of respondents are poised to increase their AI budgets in 2026, marking an essential evolution in industry practices. As AI technology moves from pilot programs to full-scale production, its role in reshaping operations from logistics to customer experience is more crucial than ever.
The retail landscape has faced numerous challenges in recent years, including supply chain disruptions exacerbated by the COVID-19 pandemic, rising consumer expectations for faster service, and labor shortages. As these hurdles intensify, the imperative for innovative solutions has never been greater. In this context, AI has emerged as a key strategy to enhance operational efficiency and personalize customer interactions.
Moreover, this survey's findings suggest that retailers have increasingly embraced not just AI in general, but more advanced forms, such as open-source models and agentic AI—intelligent systems capable of making autonomous decisions. As businesses adapt to a digital-first world, investments in AI are no longer seen as optional but essential for survival and competitiveness.
The State of AI in Retail and CPG survey highlights that 91% of companies are actively using or assessing AI technologies. This figure demonstrates the entrenched presence of AI in the retail sector, indicating a maturation in its application. Notably, 89% of respondents reported that AI contributes to increasing annual revenues, while 95% acknowledged its role in reducing operational costs.
This commitment to AI isn't emerging in a vacuum. Competitors across the retail landscape are also ramping up their AI efforts, focusing on personalizing the customer journey and optimizing inventory management. Markets are witnessing an increasing push from cloud service providers and commerce platforms, all vying to deliver AI solutions that enhance efficiency and customer engagement. As a result, NVIDIA's positioning around high-performance computing, particularly its GPU technologies, is integral to the growing adoption of AI in retail.
The survey indicates that 90% of retailers plan to scale their AI budgets in 2026, which may lead to marked advancements in the deployment of technology. The inevitability of AI in retail is no longer a question of if but rather how effectively these technologies can be harnessed to meet evolving consumer demands.
One of the most notable findings of this year's survey is the significant emphasis on open-source AI models. Approximately 79% of respondents characterized open-source tools as crucial to their AI strategies. This is a marked shift from traditional reliance on proprietary vendor models, which often resulted in vendor lock-in and limited flexibility.
According to Jason Goldberg, chief commerce strategy officer at Publicis Groupe, open-source technologies empower retailers to leverage their proprietary data while allowing for rapid innovation. This newfound flexibility is seen as a significant advantage, facilitating faster adaptation to shifting market conditions and consumer preferences.
Moreover, agentic AI—a class of AI that can autonomously execute tasks—is gaining traction within the industry. The survey revealed that 47% of respondents are either using or exploring agentic AI applications in their operations, with expectations that many will have this capability fully deployed within the next year. The allure of agentic AI lies in its potential for increasing operational speed and engagement without exhausting human resources.
Supply chain challenges have plagued the retail and CPG sectors since the onset of the pandemic, with 64% of survey respondents reporting a year-over-year increase in complications. Faced with these headwinds, many retailers are leaning heavily into AI to streamline logistics and improve forecasting accuracy.
The integration of AI enables retailers to refine inventory management at the store level rather than the regional level. This granular approach allows firms to predict demand more accurately, thereby significantly reducing stockouts and associated customer dissatisfaction. Goldberg emphasizes that AI technologies help retailers navigate the complexities of modern supply chains by factoring in varied elements in their demand forecasts, thus aligning supply more accurately with consumer demand.
The survey findings reflect a broader trend where 51% of respondents are prioritizing AI implementations aimed at improving supply chain efficiency and throughput. As competition for consumer attention intensifies, meeting delivery expectations is vital for retaining customer loyalty, highlighting the necessity for AI-assisted operational strategies.
The rapid acceleration of AI in retail signals a new era of digital transformation. As retailers look forward to 2026, the emphasis on AI-driven innovation suggests that companies will increasingly prioritize robust technology investments to enhance customer engagement, operational efficiency, and resilience against supply chain disruptions.
The ongoing challenge will be to ensure that these technologies are not just implemented, but are done so in a way that maximizes their benefits. Retailers who harness AI effectively will not only survive but thrive as they respond to rapidly changing market conditions and consumer expectations. As the industry anticipates these changes, the question remains: will companies prioritize innovation over traditional practices, positioning themselves to lead the next wave of retail evolution?
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