Union's CEO argues that enterprise AI agents aren't truly here yet. The real signal won't be adoption metrics—it'll be org chart restructuring.
The thesis: When agents actually work at scale, companies will fundamentally reorganize how teams coordinate and how management operates. It's not about "teams using agents"—it's about agents forcing new coordination primitives that make current hierarchies obsolete.
Basically: If your org chart looks the same after deploying agents, you're just doing automation theater. Real agent infrastructure should break traditional reporting structures and redefine how work gets routed between humans and machines.
This mirrors what happened with cloud infrastructure—early adopters didn't just lift-and-shift, they rebuilt around new primitives. Same pattern should emerge with agent systems if they're actually solving coordination problems rather than just wrapping LLM calls.
The thesis: When agents actually work at scale, companies will fundamentally reorganize how teams coordinate and how management operates. It's not about "teams using agents"—it's about agents forcing new coordination primitives that make current hierarchies obsolete.
Basically: If your org chart looks the same after deploying agents, you're just doing automation theater. Real agent infrastructure should break traditional reporting structures and redefine how work gets routed between humans and machines.
This mirrors what happened with cloud infrastructure—early adopters didn't just lift-and-shift, they rebuilt around new primitives. Same pattern should emerge with agent systems if they're actually solving coordination problems rather than just wrapping LLM calls.