Trends · Ben Buzz · Dec 24, 2025

AI and Privacy Trends in Digital Commerce for 2026: Key Insights and Cybersecurity Challenges

In the evolving landscape of digital commerce, 14.41% of retail users faced web threats, and 22.20% encountered on-device threats, highlighting significant cybersecurity challenges. With a 152% increase in B2B ransomware detections and 6.7 million phishing attacks, the retail sector must enhance security measures. Phishing attacks are another prevalent threat, with 6.7 million incidents identified.

As digital commerce continues to evolve, the integration of artificial intelligence (AI) presents both opportunities and challenges, particularly concerning privacy and cybersecurity. Recent data reveals significant trends and concerns that are shaping the landscape of digital retail and consumer engagement.

Cybersecurity Threats in Retail and E-commerce

Cybersecurity remains a critical issue for the retail industry. In recent assessments, it was found that 14.41% of retail users experienced web threats, while 22.20% encountered on-device threats. This indicates a persistent vulnerability in the digital retail environment, affecting both consumers and businesses. Furthermore, 8.25% of retail companies reported ransomware attacks, a concerning statistic given the 152% rise in B2B ransomware detections. These figures underscore the escalating need for robust cybersecurity measures in the retail sector.

Phishing attacks are another prevalent threat, with 6.7 million incidents identified. Notably, 50.58% of these attacks were directed at online stores, highlighting the susceptibility of digital commerce platforms to such tactics. Phishing continues to be a significant issue in the realm of online purchasing, necessitating enhanced security protocols and consumer awareness.

The Role of AI in Enhancing Shopping Experiences

AI is playing an increasingly pivotal role in enhancing the shopping experience for consumers. Chatbots, for instance, are becoming commonplace in product discovery, offering personalized recommendations and assistance to shoppers. AI-powered shopping assistants are now capable of operating independently of retail platforms, providing consumers with seamless and efficient shopping experiences.

However, the rise of AI technologies such as image-based search introduces new privacy risks. As these tools become more widespread, the potential for misuse of personal data and images increases, prompting calls for stricter privacy regulations and safeguards.

Influencer Marketing and the Creator Economy

Influencer marketing is transforming traditional marketing strategies, with 64% of consumers expressing a preference for brands that engage with influencers. The creator economy, which includes over 50 million global creators, is expected to double by 2027, solidifying its impact on digital commerce. Influencers have become integral to marketing efforts, with 90% of marketers reporting that influencer content outperforms traditional brand content, and 83% noting that it converts better.

Influencers have built communities around personal experiences, gaining credibility, particularly during the pandemic. As influencers take on roles traditionally held by celebrities, brands are expanding partnerships beyond social media, emphasizing long-term collaborations. This shift is evident, as two-thirds of marketers plan to partner with more influencers, reflecting the foundational role of influencer marketing in contemporary strategies.

Future Directions in Digital Commerce and AI

The future of digital commerce will increasingly prioritize relevancy over vanity metrics, with AI tools lowering barriers to content creation and improving influencer-brand matches. As brands embrace influencers as long-term partners, these relationships will be essential in maintaining consumer engagement and loyalty.

Moreover, as AI continues to evolve, it is expected to further revolutionize the digital shopping experience. Applications like Phia, which compares shopping options, and Pinpoint, which utilizes AI for customer support, exemplify the innovative potential of AI in retail. Similarly, Hoppn's AI-driven improvements in color search on platforms like Shopify illustrate the ongoing integration of AI to enhance user experience.

“Chatbots, AI shopping assistants, and image-based search are just the beginning of the AI-driven transformation in retail. As we move towards 2026, the balance between innovation and privacy protection will be crucial.”

The trends outlined above provide a glimpse into the dynamic interplay of AI, privacy, and digital commerce. As the industry progresses, the need to address cybersecurity challenges while leveraging AI's capabilities will be vital for sustainable growth and consumer trust.