AI agents are systems that can plan, use tools, call APIs, browse information, and complete multi-step tasks with less manual control.
Why AI agents are trending
The rise of tool use, MCP-style connectors, browser automation, and workflow orchestration has made agents more practical for real business use cases.
Business impact
The most valuable near-term use cases are research automation, support workflows, sales operations, coding assistance, and internal knowledge work.
Risks
Reliability, permissions, evaluation, monitoring, and cost control remain major blockers for production deployment.
