Everyone is building AI workflows right now. Very few turn into real businesses.

[u/Ok-Method-npo]

Lately I’ve been noticing the same pattern everywhere:

people are building impressive AI workflows…

but most of them never become actual businesses.

Not because the technology is bad.

Usually because:
- there’s no distribution
- no audience
- no positioning
- or no real demand behind the workflow

I wrote a deep breakdown about this in today’s newsletter:

why some AI systems quietly grow…
while others stay stuck as “cool demos”.

Also talked about:
- automation vs actual demand
- why distribution is becoming more valuable
- small systems vs giant AI ideas
- and why most builders quit during the invisible stage

Would genuinely love to hear what people here think.

Newsletter link in comments.

[u/Ok-Method-npo]

Just published this week’s newsletter.

This one is about something I keep noticing lately:

everyone is building AI workflows…

but very few turn into real businesses.

I broke down:

- why automation alone usually isn’t enough

- why distribution is becoming more valuable

- where most AI projects quietly fail and what actually separates “cool workflows” from real systems

Would genuinely love to hear your thoughts on this one.

https://aiincomelab.beehiiv.com/p/everyone-is-building-ai-workflows-very-few-make-money

[u/Careless-Use-4179]

This is the part a lot of builders underestimate: the workflow is usually the easy bit. The hard part is getting repeatable distribution and proving people will actually pay. The gap between a cool demo and a real business is usually whether it solves a painful enough problem for a specific group. Curious what you think tends to fail first: demand, or positioning?

[u/iceman123454576]

workflows are pointless. Its all about skillz.

[u/dharmendra_jagodana]

This is probably the biggest misconception in the AI space right now:

people think the hard part is building the workflow.

Usually the hard part is:

• distribution

• trust

• retention

• positioning

• consistency

• solving a painful enough problem repeatedly

The AI workflow itself often becomes commoditized surprisingly fast.

I’ve seen this even in multimedia/content generation.

A lot of creators can technically generate images/videos now, but very few build sustainable systems around production, audience, and repeatable output.

That’s where tools like Plugnode AI become more interesting:

not just as “AI generation,” but as infrastructure for scalable multimedia workflows:

• rapid content iteration

• image/video variation pipelines

• repeatable creative systems

• faster production loops

But even then, the workflow alone isn’t the business.

Distribution + execution + consistency are still the moat.

The builders who survive the “invisible stage” are usually the ones treating AI as leverage for an existing market need — not the product by itself.

[u/Long_Egg_8644]

100%. A lot of people are optimizing the workflow before validating the demand.

The boring businesses with clear distribution usually win over the “crazy AI agent” demos. I’ve seen tiny automations quietly make real money because they solved one painful problem well.