Tech Industry Struggles to Define the Emerging AI Agent
AI agents represent the next major shift in artificial intelligence, yet tech companies and experts lack a unified definition. Despite varying interpretations, these tools consistently aim to automate complex, multi-step tasks with minimal human intervention.
AI agents emerge as the highly anticipated next phase of artificial intelligence, but the tech industry currently lacks a clear, unified definition for the term. At its core, an AI agent functions as software powered by AI that performs a sequence of tasks previously handled by human workers, such as customer service representatives or IT help desk staff. Unlike basic chatbots, these agents take action across multiple systems to complete requested jobs rather than simply answering questions.
Major technology companies interpret the concept of an AI agent in remarkably different ways depending on their specific business focus. Google views agents as task-based assistants tailored to specific roles, such as helping developers write code or assisting marketers with design choices. Meanwhile, Asana envisions agents as virtual coworkers that manage assigned tasks within a team workflow, and Sierra treats them as advanced customer experience tools capable of solving complex, multi-layered problems.
Despite this fragmented understanding, experts agree that the primary goal of an AI agent is to complete automated tasks with as little human interaction as possible. Venture capitalist Rudina Seseri explains that the most common industry view describes agents as intelligent systems that perceive their environment, reason, make decisions, and act autonomously to achieve specific objectives. She notes that the current disagreement over the exact definition simply reflects the early days of this rapidly evolving technology.