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As businesses navigate rapid digital transformation, understanding the next wave of customer engagement technology is crucial. Global cloud communications platform Infobip has unveiled its predictions for 2026, highlighting three transformative trends: the rise of sophisticated AI-powered agents, the evolution of messaging platforms into integrated super apps, and the growing importance of privacy-first, domain-specific AI models that address data management challenges.
Infobip predicts AI agents will handle up to 95% of customer interactions by 2026.
Messaging platforms like WhatsApp & RCS are evolving into integrated 'super apps'.
The biggest challenge for AI is unifying and activating fragmented internal data.
A shift toward smaller, privacy-first, domain-specific AI models is expected.
Retail/e-commerce and healthcare/finance are leading sectors in adoption.
The future model is "human-in-the-loop," blending AI automation with human expertise.
Infobip forecasts that by 2026, AI-powered agents will manage the vast majority of customer engagements, evolving far beyond basic chatbots into "human-like, agentic models" capable of complex, autonomous communication. These agents, encompassing both voice and chat, will provide instant, 24/7 support for routine tasks like banking inquiries and order tracking. The key to success will be a "human-in-the-loop" approach, where AI handles volume and speed, while human agents step in for complex cases, ensuring empathy and deep problem-solving remain part of the service experience.
Silvio Kutić, CEO at Infobip, stated: "2026 will be a breakthrough year as generative AI and omnichannel communication converge to redefine customer engagement and digital ecosystems... Crucially, the future of customer service lies in a human-in-the-loop approach—where AI-powered automation works hand-in-hand with human expertise to deliver both efficiency and empathy."
The prediction points to a significant evolution of channels like WhatsApp and Rich Communication Services (RCS). These platforms are becoming "super apps" that integrate marketing, communication, and payment functionalities into a single, seamless interface. Businesses will leverage these channels to enable complete customer journeys without leaving the chat—for example, using RCS to send interactive product carousels where users can browse, purchase, and schedule delivery, or using WhatsApp for healthcare appointment booking and bill payment.
A critical insight is that data management remains the primary obstacle to advanced AI adoption. While large language models dominate headlines, Infobip sees growing interest in smaller, domain-specific models that can run on-premises or on standard hardware. These models offer greater data privacy, compliance, and context-aware accuracy for specific industries. The emphasis for businesses will be on overcoming fragmented data silos to unify and activate first-party data, ensuring AI solutions are both effective and compliant with evolving security regulations.
Infobip's trends report serves as a strategic roadmap for enterprises investing in their customer engagement stack. It underscores a shift from simply implementing AI tools to architecting integrated, data-driven ecosystems where communication, commerce, and service converge seamlessly. Success in 2026 will depend on a business's ability to harness AI automation responsibly, leverage rich messaging channels for full-funnel engagement, and build a robust, unified data foundation that respects privacy and enables personalization at scale.
About Infobip
Infobip is a global cloud communications platform that enables businesses to build connected experiences across all stages of the customer journey.
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