Why AI agents are surging—but not for everyone

SiliconANGLE has published a contrarian take on the AI agent boom, arguing that despite their ubiquity in coding, customer service, IT operations, and enterprise workflows, the technology may not be suitable for every use case. The piece, published today, suggests that uncritical adoption could lead to inefficiencies or unintended risks, even as vendors race to embed agents across platforms.

The timing is notable. Over the past two weeks, StartupReader has tracked activity around AI agents. AMD is reportedly exploring a platform to support local agent execution, while Kore.ai has introduced a tool that may help refine enterprise agents after deployment. Liquid AI and ServiceNow appear to be positioning themselves in on-device and governance-focused solutions, respectively. Nvidia’s recent open-source platform release hints at broader industry attention to agent-related risks—an area ServiceNow has also signaled interest in addressing.

The tension here is clear: vendors are framing agents as the next frontier of AI productivity, but the SiliconANGLE piece highlights skepticism about their real-world readiness. Enterprises seem to be proceeding with caution, favoring tools that address optimization and safety before wider adoption. The question now is whether recent developments will ease these concerns—or if the skepticism will prompt a closer look at the boundaries of agent-driven automation.

Sources: siliconangle.com