Using AI to Make Money: What Works and What the Numbers Say
Yes, but the honest answer comes with a number and a spread. Across 106 indexed products built with AI coding tools, 32 disclose a clean monthly figure…
Yes, but the honest answer comes with a number and a spread. Across 106 indexed products built with AI coding tools, 32 disclose a clean monthly figure, and the median of that disclosing set is $25K/mo — inside a full range of $37/mo to $2M/mo.
That median is a comparison tool, not a forecast. Our index over-represents businesses that survived and then chose to publish their numbers, so treat $25K/mo as the yardstick you measure a claim against, never as the outcome you should plan your rent around.
Table of contents
Can you actually use AI to make money?
People do, and we can put a boundary on it. Of the 106 businesses in the products-built-with-AI-coding-tools group, 32 publish a clean monthly figure; their median is $25K/mo, and the extremes are $37/mo and $2M/mo. That is a 54,000x gap inside one category.
The gap is the story. A single group holding both figures means "AI business" describes a toolchain, not an income bracket. Anyone quoting you a typical result from this space is quoting a selection, not a distribution.
The whole index: 406 businesses, 106 with a clean monthly figure, a $27K/mo median, 38 documented failures, across 22 countries. Browse all indexed ideas for the raw set.
How much is each of these numbers actually worth?
Not equally, and this is where most articles quit. Inside this group of 106, the evidence splits as 20 third-party verified, 49 founder-reported, 20 creator-relayed and 17 unproven — 65% verified or founder-reported, and the remaining third weaker than the headline implies.
| Evidence class | Count in this group | What it actually means |
|---|---|---|
| ✅ Third-party verified | 20 | A source outside the business — a store estimate, a platform dashboard, hard data — supports the figure |
| 🗣 Founder-reported | 49 | The operator states it. Plausible, unaudited, and they chose when to say it |
| 📎 Creator-relayed | 20 | A video creator repeats a number about someone else's business |
| ❓ Unproven | 17 | A figure with no attached support we could grade |
Here is the position this entire site rests on: a founder-reported figure and a third-party verified figure are not the same claim, and quoting them in the same sentence is a category error. The 49 founder-reported entries are useful — they are simply a different species of fact than the 20 verified ones, and any article that flattens them is selling you confidence it did not earn. Our rubric is public in how we grade the evidence.
The whole index carries the same imbalance: 57 verified, 184 founder-reported, 121 creator-relayed, 44 unproven. Verified is the minority everywhere, which is why it deserves a label instead of a footnote.
What the top of the range looks like
The ceiling is real, verified in places, and structurally unlike the middle. The Viral App Monetization Machine (100 Apps Dissected) documents Cal AI and Lerna at $2M/mo each, plus LazyFit, CoinSnap and Impulse at $700K/mo each — graded ✅ Verified · Hard Data, built by small teams rather than solo operators.
Cluely — Invisible Real-Time AI Assistant (Cluely / Roy Lee) sits at $500K/mo (~$6M ARR), but that one is 🗣 Founder-Reported, run by roughly 13–14 people plus about 60 contracted creators. Same order of magnitude as Cal AI, one full evidence class weaker.
Gravl reports $440K/mo with 70K+ subscribers, ✅ Verified · Hard Data, from a team that started with three people and grew to 13–14 — see /projects/gravl-ai-gym-workout-app. And AI Clone of Floe-Style Agency SaaS (Iman Gadzhi's Floe / CodeGuide + Replit) is the cleanest cautionary entry: the original benchmark is quoted at $1.3M/mo, 📎 Creator-Reported, while the person who cloned it made $0.
What the top shares is structural, not attitudinal: an owned distribution channel feeding installs, a subscription paywall metered per user, and a team — the $2M/mo entries are small teams, not one-person shops. Nothing at the ceiling is carried by effort alone.
What the middle looks like, which is where you will land
The planning number is $25K/mo, and the businesses near it look boring on purpose. This is the half of the distribution that never gets a thumbnail, and the only half most readers should be modelling against.
Receipt-Scanning Apps — The Boring App Store Sub-Niche is the archetype: SimplyWise estimated at $60,000/month, a second app also at $60,000/month, a third at $80,000/month — all 📎 Creator-Reported from on-screen App Store estimates whose source tool was never named. Useful signal, weak evidence, and the article that quotes those numbers without saying so is misleading you.
AI-Built Single-Page Read-Later App benchmarks at $60K/mo, also 📎 Creator-Reported, with the builder's own numbers unverified. TinyURL Clone Link Shortener (Replit + AdSense) uses TinyURL's $200K/mo and 40M monthly visits as its benchmark — again creator-reported, and again a benchmark rather than a result the solo builder achieved.
Two structural facts matter more than the revenue itself. First, 71 of the 106 businesses in this group are one-person operations, so the middle is genuinely reachable without hiring. Second, Grower shows what the middle becomes when it works: $180K/mo MRR, founder-reported, growing ~10% month over month with 50+ employees in Istanbul and monthly revenue at 3× total investment ever raised. That is what scale costs — headcount, not a better prompt.
What the failures in this group cost
We keep 7 documented failures inside this group, and 38 across the whole index, because a revenue article without the failure side is survivorship bias with a chart attached. They are the correction term on the $25K/mo median.
NoFap / Men's Self-Improvement App reached $6K/mo in its first month with ~1,100 paying users, then hit a positioning wall: it sold the prevention of a bad habit rather than the life on the other side of quitting. People buy toothpaste to whiten teeth, not to avoid cavities.
Quick Shorts shows the opposite sequencing. One Reel about auto-posting YouTube Shorts with N8N pulled 2.3M views, nearly 10K emails and a 1,000-person Discord; only then was the product built, in a week. It cleared $500+ on launch day. Demand first, build second — and the entry still sits in our failure set, which tells you proving demand is necessary and not sufficient.
How to use this without fooling yourself
- 1.Grade every number you read, including ours. If a claim has no evidence class attached, treat it as the 17 unproven entries, not the 20 verified ones.
- 2.Set your target at the median, not the ceiling. Plan against $25K/mo. The $2M/mo entries came with teams and owned distribution channels; the $37/mo floor came with neither.
- 3.Prove demand before you build. Quick Shorts collected ~10K emails from a single 2.3M-view Reel before writing code. The U.S. Census Bureau's Business Trends and Outlook Survey tracks how many firms actually use AI in production, and the Stanford HAI AI Index Report tracks adoption and cost curves.
- 4.Write the plan down before the code. The SBA's guide to planning a business is unglamorous and free, and it forces the pricing question the $37/mo entries never answered.
For adjacent framings, we keep Ways To Make Money Online For Women and Ways For Teenagers To Make Money Online, and the full category lives at the Built With AI hub.
Frequently asked questions
Can you really make money with AI?
Some people do, at a measurable scale. Of 106 indexed businesses built with AI coding tools, 32 disclose a clean monthly figure with a $25K/mo median and a $37/mo to $2M/mo range. We also document 7 failures in the same group.
How can I make $1000 a day using AI?
That is roughly $30K/mo, just above our $25K/mo median — so it sits in the upper half of 32 disclosing businesses, not at the top. Entries near and above it, like Grower at $180K/mo, carry 50+ employees. It usually arrives with headcount.
How to earn $500 per day?
About $15K/mo, which lands below the $25K/mo median of the 32 disclosing businesses in this group. It is inside the observed range that starts at $37/mo. We cannot tell you a path length, because 17 entries here are unproven and 7 are documented failures.
How reliable are these using ai to make money figures?
Reliability varies by class, which is why we label every entry. In this group: 20 third-party verified, 49 founder-reported, 20 creator-relayed, 17 unproven — 65% verified or founder-reported. Across the whole index of 406 businesses, only 57 are third-party verified.
How many of the 106 indexed businesses actually disclose a monthly number?
32 of 106. The other 74 are indexed without a clean monthly figure, which is itself a finding: most businesses in this space never publish an auditable number. Across the whole index, 106 of 406 disclose one, at a $27K/mo median.