The Agency Infrastructure War Has Already Started
At Nvidia’s GTC this year, Jensen Huang didn’t just announce new chips.
He quietly outlined the next phase of AI. Not models. Not copilots. Agents. Infrastructure. Control.
And more importantly, who owns it.
From software to systems that act
For the last decade, software has been about interfaces.
Dashboards and workflows. Tools that help humans do their jobs.
That model is breaking.
What’s emerging instead is a new layer:
Systems that don’t just assist
Systems that execute
Systems that own outcomes end-to-end
This is what people mean when they talk about “agentic AI.”
But most are still underestimating it.
The real shift: control beats capability
We already have powerful models.
That’s no longer the bottleneck.
The real problem has been trust:
Can an agent operate inside production systems?
Can it access sensitive data safely?
Can it be audited, controlled, and constrained?
Until now, the answer has mostly been no.
That’s why Nvidia’s move into agent infrastructure and security matters.
Not because of what it does today.
But because it removes the biggest objection enterprises have had.
What this looks like in practice
You can already see this shift playing out in how the best AI-native companies are being built and positioned.
At DevRev, the focus isn’t another support platform.
It’s a system that unifies product, support, and engineering — and increasingly takes action across that stack. Not routing tickets, but resolving issues. Not surfacing insights, but closing loops.
At Kognitos, the framing is even more explicit.
They’re not selling automation.
They’re building systems that execute business processes using natural language, replacing structured workflows with machine-driven execution. The interface disappears. The work still gets done.
Different categories on paper.
The same underlying shift:
From tools to systems of action.
Every category is about to collapse
If you zoom out, this creates a much bigger consequence.
Most SaaS categories are built on the assumption that humans operate software.
Agents break that.
When software starts doing the work itself, entire categories compress:
Support platforms become autonomous resolution systems
Finance tools become decision engines
DevOps tools become self-healing infrastructure
The interface becomes irrelevant.
The outcome becomes everything.
The new battleground: who owns the operating layer
There’s a second shift happening at the same time.
Agents are moving closer to the user.
Not just in the cloud, but onto your machine.
Managing files. Running commands. Executing tasks in the background.
This creates a new fight:
Who owns the layer that actually gets things done?
Not the model.
Not the app.
The execution layer.
That’s where the value will concentrate.
Most companies are positioned wrong
Here’s the uncomfortable truth.
A lot of AI companies today are still describing themselves like SaaS businesses:
“AI-powered platform”
“Copilot for X”
“Automation layer”
That language is already aging.
Because it implies assistance.
Not ownership.
The companies that win this next phase will position themselves very differently:
Not tools
Not platforms
But systems of action
What this means for founders (and operators)
If you’re building in this space, you need to answer one question clearly:
What do you fully take off the human’s plate?
Not partially.
Not incrementally.
Fully.
Because that’s where the market is going.
And it’s going there faster than most people think.
A final thought
The cloud didn’t kill software. It reorganized where value sat.
This shift will do the same.
But instead of moving from on-prem to cloud we’re moving from human-operated software to machine-operated systems.
And once that transition starts, it doesn’t reverse.