A guy posted in r/automation with a question that cut through the noise:
"Anyone here actually make money doing AI automation, or is this whole thing just course sellers hyping each other up?"
It's the question everyone's quietly asking after the hundredth "I make $40k a month with zero clients and a Google Sheet" video. So I read that thread. Then the sibling threads. Then the other subreddits asking the same thing. Hundreds of replies from people who've actually tried it — not people selling a course about trying it.
The short answer: yes, real money exists. It just looks almost nothing like what's being sold.
The market is real, and it's still early
AI automation is a $129.9 billion market as of 2025, on its way to roughly $1.1 trillion by 2033. Big number, but markets are always big. The number that actually matters is smaller and weirder.
The JPMorganChase Institute tracks real payment data, not self-reported surveys — 4.6 million firms, 500+ AI tools, actual money moving. Their April 2026 report found that 26.1% of small businesses with employees were paying for AI tools as of December 2025.
That's the number worth trusting, because it counts businesses actually spending money — not people who clicked a free trial once and told a survey they "use AI."
The adoption curve is the part worth staring at. Newer firms aren't just adopting faster, they're compounding faster: firms founded in 2025 hit 10% adoption in six months, where the 2019 cohort took over six years to reach the same point. Thirteen times faster.
| Cohort | Months to 10% adoption |
|---|---|
| 2019 | 77 |
| 2022 | 37 |
| 2023 | 23 |
| 2024 | 15 |
| 2025 | 6 |
And the spending tells its own story. Entry cost dropped 60% in six years — from about $50/month for 2019 adopters to $20/month for 2024 adopters. Meanwhile the share of firms paying under $40/month jumped from 38% to 63%.
So you've got a trillion-dollar market where roughly three in four small businesses haven't started paying for anything yet. That's not "too late." That's the gap being bigger than the hype.
There's one more detail that matters if you're thinking about email marketing automation for a small business: employer firms adopt at nearly twice the rate of nonemployers (26.1% vs 15.3%), and the gap is widening. Businesses with staff adopt more — because they're the ones drowning in the manual work.
What the people actually making money are doing
Here's where it gets interesting. The operators posting real numbers in these threads are not selling what the gurus sell.
One guy hit $3k a month in recurring revenue after about nine months — but only after he stopped pitching "sales and marketing automation" and moved into operations and inventory work. His average ticket jumped from $1k to $5k. Another was doing $4k a month four months in, off the back of a background in organising business processes. Someone else pulls $140k a year chasing invoices, and his exact words were "it works, but framing matters."
The most revealing comment I found was from a consultant who admitted his best automations mostly don't have any AI in them at all.
A client doesn't care what's under the hood. They care that the lead gets followed up, the invoice goes out, and the calendar stays full.
The people who failed all made the same mistake
Reading the flops alongside the wins, a pattern shows up. It isn't about skill or budget. It's about what gets sold.
- Selling "AI" fails.
- Selling an outcome works.
The invoice guy pitches it as: "You have old leads you never contacted. We turn them into booked calls, and you only pay when someone shows up." No mention of models, agents, or workflow tools anywhere.
Boring beats clever. One operator built a genuinely clever AI dispatch system. It worked. The client abandoned it in three days. He made his money when he rebuilt it simple and dependable instead. Another put it plainly: "The more intelligent I try to make a system, the less useful it becomes."
And the bottleneck was never the building. It was distribution. The builders who made money had a narrow niche, two or three pilot clients, and referrals. The ones who didn't were busy polishing a generic "AI automation agency" pitch that nobody asked for.
If you're on that side of it — building automations to sell rather than to use — read what the n8n licence actually allows before you resell it. It's the part nobody mentions in the tutorial videos.
The stat that sells it for you
If you want a concrete picture of what "outcome" means, look at home services.
These businesses miss about 27% of their inbound calls because nobody's free to answer. And the majority of callers who hit voicemail never call back — less than 3% leave a message.
That's revenue walking out the door every single day. It's also fixable with automation that isn't clever at all: it just answers the phone, captures the lead, and books the slot.
This is the same principle behind how we package Post Pilot and Email Pilot — you subscribe to a marketing outcome, not to the platform underneath it.
So, is it worth doing?
Yeah. If you go in selling an outcome instead of "AI," keep the backend boring and reliable, and pick a niche narrow enough that people actually refer you.
The money in these threads is real. It's just concentrated in the hands of people who understood that the client buys results, not technology.
The course sellers aren't wrong that there's money here. They're wrong about where it is.
Who we are
We're Fismbot. We build automation for social media and email marketing, and we create websites and IT business automations. And we sell one thing: an outcome.
More leads. More booked calls. Not a tech demo, not a pile of AI buzzwords.
We're writing this because the question keeps coming up — "is anyone actually making money with AI automation?" — and the honest answer is buried under a mountain of course-seller hype. We run this stuff ourselves every day, so we'd rather show you the real version than sell you the fantasy one.
Under the hood, our project runs on n8n — an automation engine we build on, maintain, and fix ourselves. It's boring, it's reliable, and it actually keeps working. Which is the whole point.
If you'd rather see our numbers than take our word for it, we publish why businesses choose Fismbot over agency retainers — including what it costs.
Sources
- Reddit — Anyone here actually make money doing AI? (r/automation)
- Reddit — Are people actually making serious money selling AI automation? (r/AI_Agents)
- Reddit — Are AI and automation agencies lucrative? (r/n8n)
- Grand View Research — AI Automation Market Size Report
- JPMorganChase Institute — Understanding the use of AI among small businesses
- JPMorganChase Institute — Small Business in the Age of AI
- Invoca — How much missed sales calls cost home services businesses
- Contractor In Charge — Missed call statistics for home service companies
Last updated: September 2026. Sources linked above — figures verified against the original reports.