Year: 2025
Type: article
Abstract: AI browser agents represent a significant advancement in the automation of web-based tasks by leveraging artificial intelligence to emulate human browsing behavior. These autonomous systems have demonstrated their utility across a wide range of domains, including e-commerce, healthcare, education, transportation, and customer service. By streamlining interactions with dynamic web content, AI browser agents enhance operational efficiency, personalize user experiences, and reduce manual effort. This article provides a comprehensive overview of the evolution and functionality of AI browser agents, examines their integration into industry-specific workflows, and explores the ethical, regulatory, and technical challenges associated with their deployment. Through practical examples and emerging use cases, we assess their transformative potential and outline the considerations necessary for responsible and scalable implementation.
Author: Sankara Reddy Thamma
Institution: Deloitte (United States)
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409609987