Infosys TechCompass

AI in digital experience

Trend 10: Browsers shift from navigation tools to intelligent action layers

AI-native browsers are redefining digital navigation by embedding intelligent assistants directly into the browsing experience. These browsers go beyond static navigation, offering contextual understanding, multitab summarization, and autonomous actions such as form filling and comparison shopping. This evolution positions the browser as a proactive digital companion rather than a passive tool.

Recent innovations include Chrome's Gemini-powered browsing experiences, which enable contextual Q&A, multitab analysis, scam detection, and intelligent assistance, alongside agent-first browsers such as Perplexity Comet and the new Opera Neon agentic browser. These capabilities compress research, decision-making, and execution into a single conversational flow, improving productivity and UX.

This power introduces new security challenges, such as prompt injection and data leakage. Enterprises must implement guardrails like isolated AI profiles, AI-safe headers, and audit logs for autonomous actions. Designing agent-friendly sites with semantic markup and accessible components will ensure compatibility with these intelligent browsers. As AI-native browsers mature, they will become the primary interface for digital experiences, demanding robust governance and continuous testing.

AI in digital experience

Trend 11: Intelligent assistants redefine digital interaction

App-less mobile ecosystems are shifting from monolithic super-apps to assistant-first models that prioritize intent-driven interactions. Intelligent Assistants are emerging as a transformative trend in the AI era, revolutionizing how people interact with technology. Instead of navigating through multiple apps, users simply express their needs, such as booking a cab or paying a bill, through conversational AI assistants.

These assistants orchestrate modular progressive web apps (PWAs) and microapps behind the scenes, reducing friction and enabling seamless, anticipatory experiences across devices.

This approach leverages AI-powered orchestration, deep linking, and federated identity to unify services without requiring installations. PWAs provide offline capabilities, push notifications, and SEO discoverability, while assistants personalize interactions using real-time data and predictive analytics.

Infosys worked with a large global telecommunications company to initiate its shift toward an assistant-first ecosystem, enabling conversational AI to orchestrate modular services and reduce dependence on standalone apps. This approach simplified interaction, reduced app clutter, and supported more seamless, intent-driven experiences across mobile platforms.

AI in digital experience

Trend 12: Interfaces adapt in real time through generative design

Generative UI is changing how interfaces are created and experienced. Instead of fixed layouts, systems can generate and adapt components dynamically based on user context, intent, and real-time signals.

This enables more flexible and personalized experiences, where interfaces adjust to the task rather than requiring users to adapt to predefined flows. Combined with agent-based systems, interfaces can also guide next steps or complete actions where appropriate.

Advances in structured design systems, component libraries, and controlled runtime environments are making this approach more reliable and scalable. Organizations are using generative UI in areas such as dashboards, support journeys, and configuration flows to accelerate development and improve relevance.

To ensure responsible use, teams need validation frameworks, accessibility checks, and human oversight for critical scenarios. This helps balance adaptability with control and consistency.

AI in digital experience

Trend 13: Interaction shifts toward multimodal and collaborative systems

Human-computer interaction is moving beyond traditional inputs toward more natural, multimodal engagement. Users increasingly interact through a combination of voice, text, gestures, and visual inputs, creating more intuitive and flexible experiences.

Interaction models are becoming more collaborative. AI systems are not limited to responding to commands; they can support decision-making, coordinate tasks, and assist across workflows. This includes both single-agent interactions and multiagent environments that work together across contexts.

In some cases, this extends to avatar-based or mediated interaction, where systems represent or support users in digital environments. These models enable richer engagement across domains such as healthcare, education, and enterprise collaboration.

This shift improves accessibility and usability and raises questions around transparency, control, and trust. Organizations will need to ensure that interactions remain explainable and aligned with user expectations.