While many artificial intelligence platforms popularized in the recent wave of AI innovation are tools designed to supplement human productivity, a new revolution in artificial intelligence technology is set to make AI even more powerful: agentic AI. What separates agentic AI from existing AI tools is that it can act autonomously, making decisions and performing tasks without human intervention.
Agentic AI browsers utilize this powerful technology to enhance web-based capabilities, enabling them to understand users’ intent and perform tasks for them. Although many internet users are accustomed to seeing extremely basic versions of these capabilities in action — think AutoFill for your passwords — agentic AI browsers will elevate functionality to an entirely new level.
How agentic browsers will revolutionize the user experience
Ultimately, the innovation of agentic AI browsers will reshape the user experience by turning passive interfaces into active digital collaborators. With the help of an agentic AI, browsers are no longer just a window to resources; they become a concierge, empowered to make decisions on the user’s behalf by interpreting intent and anticipating needs.
This evolutionary step in artificial intelligence enables these tools to conduct complex, multi-step tasks, such as booking travel or managing finances, with minimal input. The result is a streamlined user experience for humans who utilize these agentic, AI-powered browsers. Instead of using multiple browser tabs to accomplish a task, the agentic AI will build a hyper-personalized workflow that analyzes, synthesizes, and acts on processes nearly instantaneously.
Using the travel booking example, agentic AI can conduct the research process quickly, cross-reference against other available sources, and either recommend or book an itinerary on behalf of the user for a more curated, personalized travel experience. For a busy small business owner, streamlining processes like this is an invaluable change, as it allows them to waste less time on these menial tasks, enabling them to focus more on core business operations.
What DevOps professionals need to learn for the agentic AI revolution
While these changes are undeniably exciting for consumers, they also represent a drastic change in the landscape for developers. Now, developers are building apps in an ecosystem where the “user” might be an AI model, rather than a typical human user, changing the development process. Consequently, interfaces must be legible for machines, using languages and elements such as structured data, schema.org, and embedded prompts to guide autonomous behavior.
Meanwhile, the focus on UX will largely shift, since the AI “user” no longer has a “user experience” to be concerned with. Instead, developers must focus on interoperability—the ability of computer systems to share information between one another—as this will create cross-app workflows that enable AI to yield the most powerful results. Other factors that must be considered include rate limits, authentication flows, and permissions, which essentially become obsolete in a landscape driven by software “users” that do not behave like humans.
From a DevOps perspective, preparing for a new landscape in which software will increasingly interact with other software, rather than just with people, is crucial. For one, systems must be adjusted to reflect machine-driven usage patterns. Agentic AI will create a surge in unpredictable, high-frequency queries, which systems must be updated or redesigned to handle.
Additionally, traditional metrics, such as clicks, sessions, and conversions, no longer provide a complete picture. Now, these metrics must be supplemented with insights into agent-driven behavior, such as task success rates and machine agent reasoning paths.
However, the future of agentic AI browsing presents certain challenges in terms of transparency, control, and collaboration. For example, even though agentic AI can act autonomously, there must be some transparency in the reasoning and logic behind its actions and decisions; otherwise, it creates a dangerous “black box” effect. This potential also raises questions about the level of control human users should have, such as the ability to override or reverse actions and the role of human users in training and personalizing their agents’ responses and outputs.
Indeed, agentic AI browsers are the key to maximizing the potential of this revolutionary technology. By understanding users’ intent and performing tasks on their behalf, agentic AI can streamline the internet browsing process and improve user productivity. While this represents a significant change in the development process, it is a change that will benefit all parties, from consumers to DevOps professionals.
Pablo Gerboles is an entrepreneur, the CEO of Alive DevOps, and a professional golfer with a unique blend of discipline, strategic thinking, and creativity. With a background in technology and marketing, Pablo has been building and scaling businesses across various niches since 2017. He is known for turning complex ideas into real-world solutions and taking concepts from vision to execution with precision and speed.
Photo courtesy Philip Oroni for Unsplash+
