Hey, and welcome back to the Deep Dive. We've
got a stack of sources here today, and you send
in some really interesting stuff focused entirely
on one thing, making money with AI here in 2025.
Right. It feels like everyone's talking about
AI, but usually it's the flashy stuff, isn't
it? Like chat GPT writing novels or mid -journey
creating wild digital art. Exactly. The AI that
grabs the headlines, the consumer -facing bits
we all see. But this source you shared. Seven
underrated AI business models making money in
2025. It points to something a little different.
It talks about this quiet revolution happening,
you know, kind of in the digital shadows. That
phrase really stuck out to me, too. It highlights
savvy entrepreneurs who are generating significant
income. The source mentioned six and even seven
figures using AI in what it calls unglamorous
practical applications. Yeah. And the wild part
is it says most people have never even heard
of these specific opportunities. They're not
the. obvious things you might guess, it's about
applying AI to solve problems in ways that, get
this, the source claims, can print money on autopilot,
which, okay, sounds a bit like sci -fi, right?
It's a metaphor, of course, but I think it captures
the potential for automation and scalability
these models offer. It's less about the AI itself
being magic and more about using AI to build
systems that do a lot of the grunt work automatically.
Totally. So the mission for this deep dive is
to really unpack these seven underrated but incredibly
profitable AI business models. The source highlights
to understand how they're like quietly creating
significant wealth in 2025. Right. Because the
source is pretty clear. The AI revolution. It's
not something coming later. It's happening now.
And acting on it right now offers a chance to
build some serious income streams before, well,
maybe everyone else catches on. It definitely
emphasizes that crucial window of opportunity.
Being an early adopter, experimenting and building
seems to be key, according to the source. Right.
It makes you want to lean in and see what these
opportunities actually are. OK, so let's let's
just jump into the first one, the source details.
And honestly, this one, it kind of surprised
me by how accessible it sounds. AI generated
TikTok and Instagram reels. Yes, this taps into
the explosion of short form video. The core idea
is using AI to automate almost the entire content
creation process for faceless social media pages.
Fully automate like ideas, scripts, voiceovers,
editing. Everything needed to make the video.
That's what the source suggests. And individuals
are reportedly running multiple accounts like
this, essentially becoming AI -powered content
factories, making over $10 ,000 per month from
sponsorships, affiliate marketing, and creator
funds. Wait, you can make $10 ,000 a month or
more from short videos you're not even in, just
automating the whole thing? I mean, wow, that's
pretty wild automation. It's profitable precisely
because of that. AI handling the scripting, voice,
and editing drastically reduces the time and
skill needed per video compared to traditional
methods. And then there's the platform's viral
potential engaging content, however it's made,
can get massive reach quickly. Plus, having multiple
monetization paths helps. Okay, give me the case
study. The source mentions David, right? The
22 -year -old. Right. David saw the huge engagement
in the motivational niche on TikTok. His workflow
was super simple. He used ChatGPT for ideas and
scripts. Eleven Labs AI for a high -quality voiceover,
and CapCut's AI features to automatically sync
the voice with dramatic stock footage and add
on -screen captions. And what kind of results
did he see? In just five months, his page blew
up to 2 .3 million followers. That audience size
is gold for sponsorships. The source reports
he's making $21 ,000 per month largely through
those deals, all driven by videos where the AI
did most of the heavy lifting. 21 ,000 a month
from motivational clips without ever showing
his face or using his own voice. That's kind
of mind -bending when you think about it. I guess
I have seen those types of accounts scrolling
through TikTok or Reels. Yeah, they're everywhere
now. Other common examples include stoicism quotes
over scenic footage, crazy facts channels, or
business and finance tips using animated text
and visuals. So if somebody wanted to try this,
what are the first steps? The source recommends
starting by picking a high -engagement niche.
Then... assemble your basic ai tool stack something
like chat gpt for scripts 11 labs for voice and
caps it or in video for editing okay consistency
is key post two three videos daily to feed those
platform algorithms once you build an audience
you monetize through sponsorships affiliate links
and creator funds and the pro tip here it mentions
human engagement Even if it's a faceless page.
Right. The source stresses that replying to comments,
maybe doing occasional Q &As via text or AI voice
without showing your face, helps build a community.
It signals authenticity to the platform algorithms
and keeps people engaged. It's adding just enough
human interaction. That makes sense. It's not
fully autopilot, I guess, but... Pretty close.
OK, so that's short form video. What about like
the bigger brother, YouTube? The source talks
about AI driven YouTube automation. It's a very
similar concept, but adapted for YouTube's platform
and longer content potential. It's about running
faceless channels where AI handles the bulk of
the content creation, scripting, voiceover, editing,
even finding visuals. Right. And these channels,
according to the source, are generating anywhere
from $10 ,000 to $50 ,000 plus per month. $50
,000 plus? Just from YouTube ads, or is that?
Ad revenue is a major part, yes, once you qualify.
Right. But also sponsorships and affiliate marketing,
just like with the shorter platforms. The profitability
comes from the scalability. The source claims
up to 80 % automation, allowing one person to
produce multiple videos per week. And again,
zero on -camera presence needed. Correct. That's
a big draw for people who aren't comfortable
performing or don't want to be the face of a
channel. AI also helps with generating SEO -optimized
scripts, which is crucial for getting discovered
and ranking on YouTube. Okay, the case study
here is Jake, the 24 -year -old. Jake was interested
in personal finance and investing. He used ChatGPT
for topic research and to draft video scripts.
Eleven Labs provided the voiceover, and then
he used Pictree AI. Pictry takes a script and
automatically finds and inserts relevant stock
footage and B -roll. Oh, so the AI is even handling
the visual side, finding the right clips to go
with the voiceover. Exactly. He automated the
creation of five videos per week. In just nine
months, his channel hit over 100 ,000 subscribers
and was generating $27 ,000 per month purely
from YouTube ad revenue. $27 ,000 a month just
from ads on automated finance videos. Wow. So
you really don't ever need to show your face,
huh? It's kind of hard to wrap your head around.
It shifts the focus from personal presence to
strategic content creation and automation. Other
popular niches for this model include motivational
stoicism, tech and gadget reviews based on specs,
and business finance explainers. What does it
take to get started with this one? Seems similar
to Reels. Pretty much. Find a high -demand niche
with good ad potential. Build your AI toolkit
chat GPT for scripts, 11 Labs, or Play .ht for
voice, Pictree AI or InVideo for editing. Upload
consistently to feed the algorithm. Once eligible,
monetize through ads, sponsorships, and affiliate
links. And the pro tip, it was something about
thumbnails, I think. Yes. Even though the video
automated, the thumbnail is critical for getting
clicks on YouTube. The source recommends outsourcing
thumbnail design to freelancers on platforms
like Fiverr. A professionally designed compelling
thumbnail can drastically improve your click
-through rate and channel growth. That's a smart
detail. Got to get that click. Okay, moving into
something different now, not video production.
The source calls this the AI ghostwriter and
content partner. This model leverages AI for
professionals who have valuable knowledge but
zero time or inclination to write content themselves.
Think busy CEOs, consultants, doctors, lawyers,
anyone who needs a strong online presence on
platforms like LinkedIn or blogs but hates writing.
So you basically interview them or they send
you voice notes and you use AI to turn that into
polished writing. That's the process this work
outlines. You get the raw ideas, interview a
voice note, use AI for transcription, then AI
for the initial draft, and finally you apply
human polishing and strategic refinement. Why
is this particularly profitable? It sounds like
enhanced ghostwriting. It's highly profitable
because it's a high value B2B service. Time is
incredibly valuable to these professionals and
content is crucial for their personal brand and
business growth. Right. AI significantly reduces
the time you spend drafting, allowing you to
take on more clients. And it fits perfectly into
a recurring monthly retainer model. Ah, the retainer.
That predictability has got to be nice. Absolutely.
While AI does the heavy lifting of drafting.
Your human skills in conducting effective interviews,
understanding the client's voice and strategy,
and adding that final polish are what make the
service premium and justify the retainer. The
case study mentioned Maria, a former executive
assistant. Yes. Maria saw this pain point firsthand
with previous bosses. She started her AI content
partner service. Her process for one client,
a tech CEO, involves a scheduled 30 -minute weekly
call she recorded. She used Otter .ai to transcribe
the call and then fed the transcript to Claude3,
prompting it to draft two LinkedIn articles based
on the conversation. So AI drafts, but she's
doing the client management, the recording, and
the final human edit. That makes sense. Precisely.
That focused human input is critical. She quickly
signed three CEOs, each on a $2 ,500 per month
retainer. That's $7 ,500 per month for just a
few hours of active work per client per week.
Seven and a half grand a month, helping busy
execs get their thoughts onto LinkedIn. That's
really clever. Leveraging AI to solve a real
problem for people who can afford to pay for
a solution. It taps into that specific need.
Other applications include turning presentations
or interviews into thought leadership articles,
helping experts draft book chapters from conversations,
or creating social media updates for non -writers
in specific professions. So if you wanted to
start offering this service, what steps would
you take? Identify your target clients. Think
executives, high -level consultants, professionals
like doctors or lawyers. Build a portfolio, maybe
by offering a free demo. Take one of their existing
audio pieces or do a short call and turn it into
a polished post. Like a free sample. Smart. Yeah.
Master your key tools. A good transcription service
like Otter .ai or Descript and a capable writing
AI like Cloud3 or GPC4. Then structure your offering
around those monthly retainers. And the pro tip
here is the brand voice guide. Yes, the source
emphasizes this. For each client, create a detailed
guide capturing their unique voice, tone, common
phrases, and who their audience is. Feeding this
guide to the AI along with a raw transcript helps
ensure the draft content sounds genuinely like
them, not just generic AI writing. It's crucial
for authenticity. That's a smart way to make
the AI output feel personal. Okay, next up, we're
looking at the massive online learning market,
AI -generated courses. The e -learning market
is huge, right? Projected to hit $375 billion
by 2026. Creating a course traditionally takes
a ton of work. AI is changing that, making it
way more accessible. You don't necessarily need
to be a formal expert or even appear on camera.
Wait, you don't need to be an expert or show
your face to create and sell an online course.
That feels a little counterintuitive. That's
the AI leverage. AI can help with researching
and outlining the curriculum, generating lesson
scripts, creating quiz questions, and even producing
video content using AI avatars or stock footage.
So the AI basically helps build the course content
based on prompts or information you feed it.
Exactly. And the business model is profitable
because once the course is created, it has zero
inventory cost and you can sell it repeatedly
to hundreds or thousands of students. Prices
can range from $50 to well over $1 ,000 per student.
Tell me about Alex, the former bartender. This
sounds like him. Right. Alex had no formal teaching
background but was really into stock trading.
He used ChatGPT to research common questions
and generate scripts for a beginner's trading
course. Then, instead of recording himself, he
used Synthesia, which creates polished videos
featuring lifelike AI avatars speaking the script.
So not even stock footage this time, a completely
generated human figure presenting. Yes, he marketed
the course effectively, particularly using TikTok
to drive traffic. Without ever showing his face
or having traditional teaching credentials, he
made $140 ,000 in revenue. in just eight months.
$140 ,000 in eight months creating a course with
AI tools. That's incredible. It really shows
how AI can lower the barrier to entry if you
have market insight. It's about leveraging AI
to deliver value efficiently. Other examples
include AI -assisted language learning courses
that personalize lessons, AI fitness or diet
programs that generate tailored plans, or automated
explainers for niches like cryptocurrency or
specific software. How do you actually get started
with creating an AI -generated course? Pick a
profitable, evergreen niche. Think fitness, personal
finance, or specific business skills. Use AI
tools like ChatGPT for content outlines and scripts,
Synthesia or Hagen for AI videos, and maybe Canva
AI for visuals or presentations. Then choose
a platform to host and sell it like Udemy, Teachable,
or setting up your own site. And the pro tip
for this one. Use AI chatbots within the course.
The source suggests this to add interactivity.
The chatbot can answer student questions 247,
provide feedback on quizzes, or offer encouragement,
making the automated course feel much more dynamic
and personalized. Interesting. Making it feel
more responsive, which kind of flows into the
next model, AI coaching and chatbots. Yes. This
takes the idea of providing guidance and scales
it massively using AI. Instead of being limited
to coaching one person at a time, you create
automated coaching applications or intelligent
chatbots. They can provide 2047 guidance to potentially
thousands simultaneously. So like an AI version
of a life coach or a career advisor? Exactly.
In any niche where advice or structured guidance
is valuable fitness, career planning, dating,
business, or general wellness support. The source
is careful to distinguish this from actual therapy,
though. Right. Important distinction. And the
revenue model here is mostly subscriptions. Yes.
It's perfect for a monthly subscription model
ranging from $20 to $500 plus, depending on the
niche and depth of guidance. This creates that
predictable recurring revenue stream. Compared
to hiring human coaches, the setup and operational
costs are super low, and AI allows for deep personalization
for each user at scale. So you can essentially
reach a huge number of people with your methodology.
Precisely. The case study is Sarah, a traditional
life coach. She was capped out, making less than
$2 ,000 a month with one -on -one clients. And
she used AI to break through that. Yes. She used
the ChatGPT API to build an AI chatbot that embodied
her entire coaching methodology. Users interacted
with it, and it provided guidance. answered questions
based on her principles, and walked them through
her frameworks. She basically turned her expertise
into an interactive AI product. A highly interactive
one, yes. In just six months, her AI coaching
app attracted over 3 ,000 subscribers, paying
$29 a month. That scaled her income to $87 ,000
a month while she was working less than 10 hours
a week, mainly on improving the AI and marketing
the app. 87 ,000 a month from an AI coaching
app working under 10 hours a week. That's wow.
The scalability is just wild there. And users
get help whenever they need it, I guess. That's
a huge advantage, the 24 -7 availability. Other
examples include AI career coaches that help
with resumes, cover letters, or even mock interviews,
AI dating coaches offering messaging advice,
AI business mentors giving startup guidance,
or AI fitness nutrition coaches creating custom
plans and tracking progress. What are the first
steps to getting one of these up and running?
Pick a niche you know well. Use an accessible
AI chatbot platform the source mentions, ChatGPT
API, ManyChat, BotPress, or VoiceFlow. Start
with a free trial or a freemium model to get
users in, then convert them to a monthly subscription.
And the pro tip. Partner with influencers in
your niche. Offer them affiliate commissions
to promote your chatbot service to their audience.
It can be a very fast way to acquire a large
number of initial users quickly. That makes sense.
Leverage existing communities. Okay, the next
one sounds familiar, but with an AI twist. AI
dropshipping 2 .0. Right. Dropshipping is selling
products online without holding inventory the
supplier ships directly to the customer. AI dropshipping
takes that model and automates the most time
-consuming manual parts. Like finding products,
writing descriptions, customer service, that
kind of stuff. Exactly. AI can do hyper -efficient
product research to spot trends, write compelling
SEO -optimized product descriptions and ad copy,
provide 2047 customer service using an AI chatbot,
and even generate ad creatives like images or
short videos. So it automates the majority of
the operation. That's the claim over 80 % automation,
making it a semi -passive income stream compared
to traditional dropshipping. It also helps improve
profit margins through better ad targeting and
keeps the key benefit of dropshipping. Low upfront
investment because you don't buy inventory. Tell
me about Samantha, the digital nomad case study.
Samantha wanted to get into e -commerce but wasn't
a designer. She set up a print -on -demand store.
which is a form of drop shipping. When an order
comes in, the design is printed on a product
like a T -shirt or mug and shipped directly by
the supplier. She used tools like Sell the Trend
for product research and Midjourney to generate
unique, trending T -shirt designs. Oh, so you
don't even need design skills. The AI creates
the art. Yes. She found popular niches and used
AI to generate unique designs quickly. Some of
her AI design products went viral on TikTok,
and her store generated $75 ,000 in revenue in
four months, all without her ever creating a
single design herself. 75 ,000 in four months,
just finding trends and generating designs with
AI. That's pretty incredible automation of the
creative process. It bypasses a traditional skill
barrier. Other examples include AI personalized
home decor stores based on user quizzes, niche
print -on -demand stores for specific hobbies
or communities, or AI fashion accessory stores.
that use trend analysis to curate products and
generate marketing copy. How would someone go
about getting this type of store started? Use
AI tools like ChatGPT, Midjourney, or Sell the
Trend to find winning, trending products. Set
up your online storefront on a platform like
Shopify or WooCommerce. Then integrate AI tools,
often available as apps within those platforms,
to automate product descriptions, customer service
chatbots, and even ad creation. And the pro tip
for this one? Combine AI product research. with
targeted social media ads, especially on platforms
like TikTok or Instagram. Use the AI -generated
copy and creatives to test products quickly and
scale the ones that show promise. Okay, last
one on the list. This one sounds maybe the most
technical, but the source says you don't need
to code, AI Microsoft. Microsoft stands for software
as a service. It's about building small, focused
online software tools designed to solve a specific,
often niche, problem. The AI Microsoft part is
key because it means you're using AI functionality
within this small tool. And crucially, you can
build it without needing traditional coding skills.
Wait, really? You don't need to know how to write
code to build software? That's the power of the
no -code revolution combined with accessible
AI. Platforms like Bubble .io or SoftR let you
build complex web applications visually using
drag -and -drop interfaces. You can then connect
them to AI models, like those from OpenAI or
Anthropic, using their APIs. Okay, API. I guess
like an interface that lets different software
talk to each other. So the no -code platform
talks to the AI through this API. Yeah, you can
think of it kind of like ordering in a restaurant.
Your no -code platform is you, the customer.
The AI is the kitchen. The API is the waiter
you give the waiter, the API your request, a
prompt for the AI. And the waiter sends it to
the kitchen, the AI model, and brings the result
back to you, all without you needing to know
how to cook. Write code. OK, that makes sense.
Why is this type of business potentially so profitable?
It's one of the most powerful models for truly
passive recurring income. Businesses or individuals
are willing to pay a predictable monthly fee,
MRR, monthly recurring revenue, for a tool that
consistently saves them time, solves a pain point,
or improves their workflow. Right. The no -code
aspect drastically lowers the barrier to entry
for building these tools. And the profit potential.
A single successful AI microsource can realistically
generate $10 ,000 or more in monthly recurring
revenue. It becomes a powerful, relatively hands
-off income engine once it finds its users. Tell
me about Daniel, the freelancer with zero coding
skills mentioned in the source. Daniel was a
freelancer himself and found crafting unique
resumes and cover letters for every job application
incredibly time -consuming and frustrating. He
had no coding background but decided to build
a solution. He used Bubble .io, that no -code
platform, and connected it to the OpenAI API.
To build a tool that writes resumes and cover
letters. Exactly. Users would input their details
and the job description, and the app, using the
AI, would generate a tailored resume and cover
letter instantly. He solved his own problem and
turned it into a product. He launched it with
a simple $19 per month subscription. And how
did that go? In six months, that simple tool
was generating $12 ,500 per month in MRR. all
built by one person with zero coding skills,
solving a specific high -value problem. That
is pretty mind -blowing, a subscription software
service built by a non -coder. It really highlights
a potential. Other examples include AI tools
that draft initial responses for customer support
teams, tools that automatically repurpose long
video content into short clips for social media,
or AI content generators hyper -focused on a
specific niche, like writing real estate descriptions
or summarizing legal documents. So if someone
wants to get into building AI microsaws, where
do they start? First, identify a repetitive high
-value problem. The source suggests focusing
on B2B problems because companies are usually
more willing to pay for efficiency. Build a minimum
viable product, an MVP, just the core functionality
using no -code tools like Bubble, SoftR, or Adelo.
Maybe connect them with automation tools like
Zapier or NAN and integrate the AI using APIs
like OpenAI or Anthropic. Gotcha. Start simple.
Exactly. Launch it with a free trial or freemium
tier, then offer paid monthly subscriptions.
And the pro tip. Stick to that B2B focus initially.
Companies understand paying a monthly fee for
software that saves employees time or money,
making them easier clients to acquire and retain
compared to trying to get individual consumers
to pay monthly. Okay, wow. We covered a lot there.
Seven distinct models, all using AI in these,
uh... unglamorous but clearly practical ways
ai powered short and long form video automation
ghostwriting for busy professionals building
courses without being a traditional expert scalable
ai coaching automating drop shipping and even
building software without coding it really does
paint a picture of how ai is opening up doors
that just weren't there or were much harder to
open before It fundamentally changes the economic
landscape for digital businesses, turning previously
complex, labor -intensive tasks into processes
that can be significantly automated and scaled.
Which brings us right back to the source's core
message that the window of opportunity is wide
open right now. It says the biggest risk isn't
trying one of these and maybe it doesn't work
out, but waiting too long to even start. Yes,
it really emphasizes that the AI gold rush is
here, and historical shifts like this tend to
heavily favor those who act early, experiment,
and build before this space becomes saturated.
So what does this all mean for you listening
to this? The source gives a pretty direct, immediate
action plan. First step. Pick one AI side hustle
or business model from this list that genuinely
sparks your interest. Don't try to do everything
at once. Focus your energy. Just one. Okay, second
step. Set a simple, manageable seven -day action
plan for that one idea. What's one concrete step
you can take this week? Maybe it's using AI to
brainstorm specific video ideas, researching
potential products, outlining the first module
of a course, or identifying five businesses that
could use a ghostwriter service. Just one step
forward. And the third step. Immerse yourself
in relevant online communities. Find your people.
Look on platforms like X, LinkedIn groups, Reddit
forums dedicated to AI entrepreneurship, no code,
or specific niches you're interested in. Learn
from others who are already building. That feels
actionable, right? Pick one. Take a small step
this week. Find your community. The source ends
on a pretty powerful note saying, the future
belongs to the builders. It's not just about
consuming information about AI, but about taking
action and using these tools to create something,
build value in the world. Yeah. It makes you
think, what does being a builder look like for
you based on these ideas? Is it picking one of
these seven models and just like... starting
to build it piece by piece or to seeing how ai
can automate things spark an idea for something
totally new you could build based on your own
experiences or knowledge it's kind of mind -bending
how accessible building seems to be getting isn't
it it really is the tools are here the blueprint
based on this source is there it's just about
deciding to step in and start building