I think the real opportunity in AI is agent infrastructure, not just agents

I don’t think the opportunity is “another AI agent app” — I think it’s agent infrastructure

Lately I’ve been thinking a lot about where the long-term value in AI actually accumulates.

A lot of people are building agents.
Some are building wrappers.
Some are building niche workflows.

But the more I look at it, the more I think the bigger opportunity may not be another agent app.

It may be the infrastructure layer that makes agent workflows:

reusable
publishable
executable
and monetizable

That’s the bet my team and I have been making.

We built RunJobs, a platform where creators can publish a packaged multi-agent workflow as a project for a specific use case.

For example, here’s one project for competitor research:

https://www.runjobs.ai/projects/competitor-report

The core idea is simple:

There are already people who understand agents, skills, prompts, tools, and workflow design well enough to solve specific problems repeatedly.

But most of that value is trapped in one-off setups, messy internal automations, or custom client work.

We wanted to turn that into something more productized.

So instead of asking every user to assemble agents from scratch, we let creators publish a ready-to-run project — essentially a packaged agent team for a defined job.

Then, whenever another user runs that project, the creator earns revenue.

That part matters a lot to me.

Because I think one of the missing pieces in the current AI ecosystem is this:

How do agent builders get paid repeatedly for workflows they’ve already figured out?

Not by consulting.
Not by selling a PDF.
Not by rebuilding the same thing every time.

But by publishing something reusable that keeps generating value.

The other big missing piece is execution.

A lot of agent workflows don’t stop at “call an LLM API.”
They need browsers, scripts, isolated file systems, tools, and sometimes dedicated compute in a sandboxed environment.

So under the hood, we’re also building the execution layer:

sandboxed runtime environments
container-based task execution
automatic hardware allocation
routing jobs to available infrastructure

So in my mind, this is less about “an agent marketplace” and more about:

infrastructure for packaged, executable, monetizable agent teams

My current belief is that the next wave of AI products won’t just be better chat interfaces.

It’ll be people turning proven agent workflows into actual products — and infrastructure that makes that possible.

Curious how others here see this:

If multi-agent workflows are real, what’s the biggest missing piece today?

distribution?
execution infrastructure?
monetization?
trust / reliability?
something else?

Would love to hear what other founders are seeing.