The hype is real but the infrastructure isn't there yet. I've spent 25+ years in enterprise security and the pattern is familiar — new capability ships fast, governance catches up slow.
The actual hard problem with agents isn't intelligence, it's economic. When you give an agent access to APIs, who's tracking what it spends? Who enforces a budget? Right now most teams find out their agent burned through $10K in API calls after the invoice hits.
Agents are useful. But until we solve identity, authorization, and cost control for machine-to-machine traffic the same way we solved it for human traffic, it's going to be the Wild West.
The hype is real but the infrastructure isn't there yet. I've spent 25+ years in enterprise security and the pattern is familiar — new capability ships fast, governance catches up slow.
The actual hard problem with agents isn't intelligence, it's economic. When you give an agent access to APIs, who's tracking what it spends? Who enforces a budget? Right now most teams find out their agent burned through $10K in API calls after the invoice hits.
Agents are useful. But until we solve identity, authorization, and cost control for machine-to-machine traffic the same way we solved it for human traffic, it's going to be the Wild West.
You are already using agents - Claude Code and cursor are agents.
Agent = loop_until( reasoning + tool-calls + mutate-state + verify ) -> expected_result
Claude Code, Codex are all examples of cool agentic projects. They are going even further by taking over the world of Excel