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AI agents go mainstream as the technology matures

A new wave of AI systems that can take actions and complete tasks autonomously moved into widespread use.

Artificial intelligence took another significant step this year as a new wave of AI agents, systems capable not just of generating text but of taking actions and completing multi-step tasks on their own, moved into widespread use, marking a maturation of the technology and the beginning of a shift from AI as a tool to AI as an autonomous assistant.

Unlike the earlier chatbots that primarily answered questions and generated content, the new generation of AI agents could carry out tasks by interacting with software, browsing the web, writing and running code, and chaining together steps to accomplish goals, with varying degrees of human oversight.

The technology promised to automate a growing range of work, from research and scheduling to software development and data analysis, and companies raced to deploy agents in their products and workflows, envisioning a future in which AI systems handled complex tasks with minimal supervision.

The rise of agents represented an evolution of the generative AI boom that had transformed the technology landscape, as the models grew more capable of reasoning, planning and acting, and as developers built the infrastructure to let them operate in the real world.

The development also raised fresh questions and concerns, about reliability and errors, about security and the risks of autonomous systems taking consequential actions, about accountability, and about the effects on employment as AI took on tasks previously performed by people.

The emergence of practical AI agents marked a notable milestone in the ongoing AI revolution, pointing toward a future in which AI systems play an increasingly active and autonomous role in work and daily life. As the technology matured and spread, it promised both significant gains in productivity and capability and a host of challenges that society would need to navigate, as the relationship between humans and increasingly capable machines continued to evolve in profound and uncertain ways.