Published in Electronic Commerce Research (Springer, 2025) brings together 132 academic studies to answer one big question:

How does AI influence consumer behavior toward brands?

The paper is authored by Ana Raquel Ribeiro and Alfonso José Lopez Rivero Universidad Pontificia de Salamanca in Spain, and represents one of the most comprehensive academic reviews to date.

What the Study Did (Methodology in Simple Terms)

The researchers followed the PRISMA method, a gold-standard process for systematic reviews. They searched the Web of Science database for studies involving Artificial Intelligence and Consumer Behavior, initially identifying 1082 papers. After filtering by relevance, language, and area (Business, Economics, Communication), they narrowed the list down to 373 papers, and then used VOSviewer—a bibliometric analysis tool—to cluster and analyze citation patterns.

The final dataset contained 132 core articles, covering themes like:

• consumer experience with AI
• trust, anthropomorphism, and humanization
• online behavioral challenges
• AI functionality and adoption barriers
• autonomous decision-making and purchasing

What the Academic Landscape Shows (The Big Picture)

The review highlights a clear trend:

AI + consumer behavior is exploding as a research topic.

Publications have surged, especially between 2021 and 2025.

• The most active countries are the United States and China, followed by the UK, India, Australia, and France.
• The fields contributing the most research are business economics, communication, and computer science.

This confirms what many marketers feel: consumer behavior is entering a new era, one mediated by smart systems, recommendations, personalization engines, and AI-driven interactions.

Five Major Insights From the Review

1. AI Is Changing the Consumer Experience Itself

Consumers interact not only with brands but with algorithms acting on behalf of brands. Chatbots, recommendation engines, voice assistants, and predictive systems influence satisfaction, convenience, and perceived value.

AI becomes part of the brand’s identity—sometimes even more memorable than the brand.

2. Trust and Humanization Matter More Than Technology

The review highlights a growing area of interest: anthropomorphism and emotional response.

Consumers react differently depending on whether the AI seems:

• competent
• friendly
• humanlike
• transparent

3. AI Can Enhance or Damage Consumer Relationships

AI-driven personalization and efficiency can boost engagement and loyalty.

But overuse of automation, intrusive data use, or poorly designed AI personalities can generate:

• disappointment
• privacy concerns
• a feeling of losing control

When that happens, brand loyalty drops.

4. Autonomous Purchasing Is Becoming Real

Cluster 5 in the paper highlights a growing phenomenon: AI systems making purchases on behalf of consumers.

From subscription replenishment to automated grocery buying, the line between “I chose” and “the system chose” is blurry.

This raises new questions—do consumers stay loyal to the brand, or to the AI tool making the choices?

5. Culture, Motivation, and Context Shape Behavior

The conceptual model in the article shows how psychological state, socio-economic context, and purchase type influence how people respond to AI.

There is no universal “AI user.”

Context predicts reactions better than technology.

Figure 2 – Article Clusters (Bibliographic Map)

This colorful VOSviewer map shows clusters of articles grouped by shared citations.

Some of the biggest names appear at the center—researchers like Kumar, Wirtz, Davenport, and Kim—showing they drive much of the intellectual structure in AI + consumer behavior.

Clusters correspond to themes such as consumer experience, trust, online AI interactions, and automated purchasing.

Figure 3 – Keyword Network

Terms like artificial intelligence, trust, anthropomorphism, consumer behavior, engagement, and social media form dense interconnected clusters.

This means the research community sees these concepts as tightly linked.

Notably, words like generative AI, privacy, and technology adoption appear as emerging nodes.

Figure 4 – Conceptual Model

This diagram visualizes how the authors interpret all 132 studies:

• Core drivers influencing behavior: convenience, efficiency, personalization, security, trust.
• Influencing factors: psychological state, socio-economic context, type of purchase, prior experiences.
• Risks: privacy fears, loss of control, disappointment.
• Outcome: loyalty, engagement, satisfaction, purchase decisions.

Figure 5 – Future Research Directions

This chart maps four major research subtopics:

1. The impact of AI on consumer behavior toward brands
2. Humanization and trust in AI interactions
3. AI as a market service (experience design)
4. AI-enabled marketing and loyalty mechanisms

All of these converge into one big area:

How AI will influence future purchasing intentions.

Why This Matters for AI in Marketing

This paper reinforces a message I often emphasize at SVCH and in my consulting work:

AI reshapes how people behave, feel, and decide.

Brands are no longer competing only on product or pricing; they’re competing on algorithmic experience.

For marketers, this means:

• Trust must be designed, not assumed.
• Personalization should feel empowering, not manipulative.
• AI personality is becoming part of the brand personality.
• Data ethics is now a core component of brand equity.
• Autonomous purchasing will shift traditional loyalty models.