TLDR: AI agents are emerging as a top technology trend in 2025, moving beyond simple automation to perform complex tasks like coding, data analysis, and resume screening. Tech companies are rapidly deploying these platforms, with a Capgemini report indicating that nearly 60% of organizations expect AI to be an active team member or supervisor within the next year. While promising significant shifts in IT service delivery and business processes, challenges remain in building trust and establishing robust governance for these increasingly autonomous systems.
Artificial intelligence is ushering in a new era of automation with the rapid ascent of AI agents, hailed as one of the top technology trends of 2025. These sophisticated entities are designed to go far beyond the capabilities of traditional digital assistants, which merely respond to voice commands for simple tasks. Instead, AI agents are poised to revolutionize various sectors by performing complex operations such as writing software code, compiling spreadsheets from vast datasets, and even meticulously sifting through employee resumes.
The global tech landscape is witnessing an intense race among companies to develop and deploy advanced AI agent platforms. This push is driven by the potential for these agents to automate a broad spectrum of end-to-end business processes, learning and adapting as they operate.
A recent report from the Capgemini Research Institute, titled ‘Harnessing the value of AI: Unlocking scalable advantage,’ published on September 5, 2025, highlights the accelerating adoption of generative AI and AI agents. The report indicates that nearly six in ten organizations anticipate AI becoming an active team member or even a supervisor to other AI systems within the next 12 months, a significant increase from the current 44%. Furthermore, approximately 38% of organizations believe that AI agents will evolve into self-learning entities requiring minimal human oversight within the next three to five years.
Despite this rapid integration, the report also points to a critical challenge: a majority of organizations (71%) express a lack of full trust in autonomous AI agents for enterprise use. This underscores the urgent need for businesses to address governance gaps and establish robust frameworks to build confidence in these powerful tools. Currently, only 46% of organizations have established governance policies for their AI systems, and many struggle with consistent adherence.
The impact of AI agents is particularly profound in IT service delivery. According to Forbes, these agents are set to fundamentally alter how IT departments provide services to the rest of the business. They are capable of improving an IT organization’s ability to conduct comprehensive and ongoing risk assessments, thereby enhancing protection and reducing the frequency and impact of cybersecurity incidents. For instance, an enterprise architect tasked an AI agent with reviewing an existing system and its interconnections during an S/4 HANA migration, leading to the identification of crucial potential trouble spots.
AI coding agents are already taking on programming tasks, significantly reducing software development time and costs. Francesco Brenna, VP & Senior Partner for AI Integration Services with IBM Consulting, notes, ‘As agents are integrated across all these applications, the application landscape will blur. Agents will become the key component of IT architecture.’ This shift necessitates new discovery and operating models to ensure employees can effectively find and utilize the appropriate agents for their tasks. Some experts, like Timo Elliott, VP of Marketing and Global Innovation Evangelist with SAP, suggest that AI agents will help organizations ‘move and change things more confidently’ by synthesizing complex datasets and uncovering hidden connections. Andreas Welsch, chief AI strategist at Intelligence Briefing, even advocates for an ‘Agent Resources’ department, akin to HR, to manage and define the roles and performance of these evolving AI entities.
Also Read:
- Capgemini Study Reveals Growing Expectation for AI Systems to Function as Teammates or Supervisors by Mid-2026
- Google Cloud Report: Over Half of Executives Deploy AI Agents, Driving Significant Business Value
As AI agent systems become increasingly complex and interconnected, multi-agent systems are expected to be the next major development in AI, with nearly 45% of organizations scaling AI agents also piloting or scaling multi-agent systems. This evolution promises to further enhance automation and efficiency across various business functions, with nine out of ten executives in product design/R&D, marketing, and sales optimistic about AI agents handling one or more business processes in their functions within the next 3-5 years.
