The Only 14 Ways to Make Money with AI in 2026 -- Dan Martell

Key Points

AI businesses are rated across three dimensions: profitability, competition, and longevity -- any model weak on longevity should be treated with caution regardless of short-term earnings.
AI agent development is Martell's top pick ("S of the S of the S") because it requires technical depth that keeps most people out, creates repeatable deployable workflows, and directly attacks small business labor costs.
AI consulting earns S tier because domain expertise plus AI knowledge is rare, consulting always scales through implementation projects, and the gap between businesses knowing they need AI and knowing how to use it is wide.
AI lead generation ranks S tier -- you are selling money directly to clients, the value proposition is obvious, and businesses always need more leads.
Faceless AI YouTube channels and AI trading bots both land in F tier -- the first gets demonetized quickly, and the second is fundamentally selling a course wrapped around a non-working product.
Voice agents rank A tier: high profitability, strong longevity (voice is the path to broader AI automation), but the market is getting crowded at the awareness level even though real adoption remains low.
AI chat agents and AI venture studios both rank A tier -- chats have recurring retainer potential but moderate longevity as frontier models absorb the function; studios require business, capital, and distribution experience most people lack.
Content repurposing, virtual assistants, and AI logo/brand design all land at B tier -- useful skills to learn, decent short-term income, but automation is catching up fast and they do not build durable advantages.
AI cybersecurity sits just behind agent development in S tier: wildly profitable, almost no real competition, and demand will grow as AI-powered attacks scale.
The five-step launch sequence -- validate, pre-sell, launch manually, build audience through partners, then productize -- is designed to generate real transactions before building any serious technology.
Pre-selling through a simple landing page and direct outreach to personal contacts is how Martell validates every new company before committing to build.
Distribution via affiliate-style partner relationships (give partners a unique link, track referrals, pay on conversion) is the preferred growth lever before an audience exists.

Quotable Moments

Quotable moments are auto-generated from the transcript. Speaker attribution and quote accuracy should be verified against the original source before republishing or sharing.

Dan Martell

"If I had a bot that made me 20% every year, guess what? I wouldn't tell anybody about it."

Why it works: It dismantles the AI trading bot category in one sentence. The logic is airtight and instantly memorable -- and it applies to any "secret system" being sold online.

Dan Martell

"Interfaces are dead. People that want to book local businesses want instant replies. They don't want to even call, they want to chat."

Why it works: Captures a genuine behavioral shift in a quotable form. The word "dead" is a strong signal that snaps attention and frames chat agents as the obvious next step.

Dan Martell

"The people that win aren't the ones who start first. They're literally the ones who don't quit."

Why it works: A clean, direct close that reframes the "I'm too late" objection. It lands as encouragement without being saccharine because the whole video has been practically grounded.

Dan Martell

"Most entrepreneurs are already overwhelmed. What they don't have enough of is leads. So they're busy delivering for the customers they have."

Why it works: Precisely names the state of the buyer before you pitch them. This is the kind of insight that makes an offer land -- when a prospect hears it, they feel understood before they hear the price.

Concepts & Ideas

Core Evaluation Framework

The Three-Axis Ranking Model

Martell evaluates every AI business on three dimensions: profitability (what people will actually pay), competition (how crowded the market already is), and longevity (how long the opportunity will remain relevant as AI evolves). A strong opportunity scores well on all three -- weakness on any one of them, especially longevity, should be a disqualifier for anyone trying to build lasting wealth.

Attacking Labor Dollars

Martell's central thesis is that AI businesses with the clearest ROI are the ones that visibly replace human labor costs. When a business owner can see what they pay a receptionist, a researcher, or an office manager and compare it to your monthly fee, the decision becomes easy. The businesses most willing to pay are those where one missed call, one unqualified lead, or one data breach costs more than your annual contract.

S / A / B / F Tier Logic

S tier means the opportunity has high profitability, manageable competition, and strong longevity -- it is worth building a real company around. A tier is solid and worth doing, especially for those with relevant backgrounds. B tier is a useful skill to learn, generates decent short-term income, but will likely be automated away within a few years. F tier ideas should be avoided because they are either deceptive, unsustainable, or both.

High-Value Business Models

AI Agent Development S Tier

Building and deploying multi-agent systems for businesses -- a chief-of-staff agent managing a hierarchy of specialist sub-agents -- is what Martell considers the iPhone moment of AI. The technical barrier keeps most people out, the workflow products are repeatable and deployable across clients, and the value proposition directly competes with headcount additions. He calls this "selling a team, not a tool."

AI Consulting S Tier

Auditing a business's operations and identifying every point where AI can reduce waste or save time is a high-ticket service that compounds. A $5,000 audit becomes the entry point for a $50,000 implementation contract. The gap between companies knowing they need AI and having anyone internally who can implement it is wide, and that gap is the consultant's market.

AI Lead Generation S Tier

Using AI to automate prospecting, research, and qualification -- then delivering warm leads with contact data directly to a business -- is selling money. The ROI is visible and immediate, which makes it an easy yes for clients who already know what a new customer is worth to them. Platforms like Clay make the data sourcing more systematic, and learning this skill also builds a genuinely transferable competency.

AI Cybersecurity S Tier

Managed AI cybersecurity -- protecting businesses 24/7 from phishing, social engineering, AI voice spoofing, and other AI-powered attacks -- is wildly profitable and has almost no real competition at the practitioner level. It is an insurance-model sale where the prospect only fully appreciates the value after an incident, but enterprise-level contracts are available to those who can articulate the risk clearly.

AI Voice Agents A Tier

An AI that handles inbound calls -- booking appointments, qualifying leads, and routing inquiries -- replaces a full-time receptionist for businesses like law firms, dental clinics, and trades contractors. The technology is advancing fast enough that many callers do not realize they are speaking with AI. Martell rates it A tier because awareness is growing but real deployment is still low, which means the window for early movers is real but narrowing.

Operational Principles

Validate Before You Build

Martell's consistent principle is that no technology should be built until a real human has agreed to pay for the outcome. The landing page, the text-your-contacts outreach, and the waitlist are all pre-build validation tools. Asking "who do you know that wants this?" rather than "do you want this?" is a deliberate framing technique that captures referrals and self-identifies buyers simultaneously.

Concierge Launch as Proof of Concept

Delivering the service manually before automating it is how you prove the value proposition is real, catch edge cases you would have missed in a build, and generate testimonials that make the productized version easier to sell. The manual phase is not a shortcut -- it is a deliberate step that reduces the risk of building the wrong thing.

Partner-Led Distribution

Without an audience, the fastest path to distribution is borrowing someone else's. Finding creators, consultants, or operators who are already talking about the problem you solve and giving them a trackable affiliate link lets you grow a waitlist before you have a single piece of public content. It converts other people's authority into your pipeline.

Implementation

Implementation steps are auto-generated from the transcript content and are provided for informational purposes only. They do not constitute professional advice of any kind. Always consult a qualified professional before acting on any information presented here.

Pick One Tier S or A Idea and Stay There

Use the three-axis framework -- profitability, competition, longevity -- to evaluate the ideas in this video against your own background and skills. If you have domain expertise in a specific industry, AI consulting is the clearest on-ramp. If you have technical depth in agentic systems, agent development is the ceiling. Choose one and do not rotate until you have a paying client. The biggest failure mode Martell flags is jumping between ideas before reaching a real transaction.

Build a One-Page Offer Site with a Waitlist

Use an AI tool to generate a simple landing page that describes the specific outcome you deliver -- for example, "an AI-powered chief of staff that recovers 10 to 15 hours of your week." Do not describe the technology. Describe the result. Include a waitlist form. This page is your validation instrument before it becomes your sales page. The goal is to create something shareable within a day so outreach can start immediately.

Text Your Entire Contact List with One Script

Message everyone in your phone: "Who do you know that's looking for [specific outcome]?" Do not ask if they want it themselves -- the framing pushes people toward referral mode, but self-qualifiers will surface immediately. This is your first pipeline. Track who replies and who engages. These are the people for the pre-sell step. Do not skip this step because it feels awkward -- Martell does it with every company he launches.

Pre-Sell Before Building Anything Technical

Email the waitlist and any warm contacts from your outreach. Tell them you are opening an early adopter program, state the price, and send a payment link. Get on calls with anyone who expresses interest and walk them through the offer personally. A pre-sale -- someone paying before the product is fully built -- is the only real proof that the problem is a painkiller, not a vitamin. Do not move to the build phase without at least one committed transaction.

Deliver Manually in a Concierge Model First

Onboard your first one or two clients using a consulting or concierge approach. Do the work by hand -- coordinate tools, manage outputs, customize the workflow for their specific situation. This is not a shortcut; it is deliberate. You will discover what actually needs to be automated, what clients value most, and where the friction points are. Use this phase to earn testimonials and case study material before investing in any serious build.

Recruit Partners Who Already Have the Audience

Find operators, consultants, newsletter writers, or creators who are already talking about the problem you solve -- whether that is executive productivity, AI for small business, or cybersecurity. Approach them with a rev-share or flat referral arrangement and give each a unique tracking link. You are borrowing their trust and their distribution. This is how you build a waitlist before you have your own audience, which is the correct order of operations if you are starting from zero.

Productize Using Revenue from the Manual Phase

Once you have consistent transactions, reinvest the income into automating what you have proven manually. This is the last step, not the first. Build the tech after you know exactly what needs to be built, who it is for, and what they will pay. The temptation to start here -- building first -- is what Martell says most people do wrong. Productization is a reward for validated demand, not a prerequisite for finding it.

Score Every Future AI Business Idea Against the Three Axes

Before pursuing any new AI business idea -- whether from this video or anywhere else -- run it through profitability (will people pay enough for it to matter?), competition (is the market so crowded that differentiation is nearly impossible?), and longevity (will this still be relevant in three to five years, or will it be automated away or absorbed by a platform?). This filter alone eliminates most F and B tier traps before you invest time in them.

Tools, Platforms & Resources Mentioned

Name	Category	Tier / Context	Link
Apex (Martell)	AI Agent Platform	Referenced as Martell's own product for AI agent execution. Virtual assistants = B tier; Apex as a full agent team is positioned differently.	danmartell.com/apex
Clay	AI Lead Generation	S Tier -- Used as a data enrichment and lead generation platform; Martell cites it as a platform that makes AI lead gen more systematic and high quality.	clay.com
Opus Clips	Content Repurposing	B Tier -- AI-powered tool for turning long-form video into short clips; mentioned in the AI content repurposing segment.	opus.pro
Descript	Content Repurposing / Editing	B Tier -- AI-assisted video and audio editing; mentioned alongside Opus Clips for content repurposing workflows.	descript.com
Manus	AI Agent / Research	Mentioned as a tool for automating lead research and prospecting in the AI lead generation segment. Also referenced for logo and brand design work.	manus.im
Cowork (Claude)	AI Agent / Automation	Referenced as a free tool anyone can use for virtual assistant and agent-style tasks; cited as part of why the virtual assistant market is crowded.	claude.ai
Gemini (Google)	AI Research / Agent	Listed alongside Manus and Cowork as tools usable for AI lead generation and prospecting workflows.	gemini.google.com
Nano Banana	AI Design	B Tier -- Mentioned as a tool for AI-assisted logo and brand kit generation.	nanobanana.io
Intercom	AI Chat / Customer Messaging	A Tier -- Martell is an investor; cited as a leader in AI-powered chat that established the chat agent space.	intercom.com
OpenTable	Restaurant Booking Platform	Referenced as an example of a clunky interface that a well-deployed AI chat agent could replace or augment for local businesses.	opentable.com
Stripe	Payments / AI Commerce Protocol	Referenced in the AI-to-AI marketplace segment -- Stripe released a protocol enabling AI agents to transact commercially with other AI agents.	stripe.com
rentahuman.ai	AI-to-Human Marketplace	Cited as a live example of an AI-to-AI (or AI-to-human) marketplace concept -- over 700,000 humans registered, with AI agents hiring humans for tasks.	rentahuman.ai
Renaissance Technologies	Quantitative Trading Firm	F Tier (contrast example) -- Used to illustrate why real AI trading bots are not sold publicly; firms like RenTech trade only internal capital because the edge is too valuable to share.	rentec.com
D.E. Shaw	Quantitative Trading Firm	F Tier (contrast example) -- Same context as Renaissance Technologies; cited to reinforce that real AI trading alpha is never sold retail.	deshaw.com
Two Sigma	Quantitative Trading Firm	F Tier (contrast example) -- Third firm cited in the trading bot segment to make the same point: real AI-driven trading systems are closed to outside capital.	twosigma.com
Claude Code	AI Coding Tool	Mentioned in the AI venture studio segment -- Martell shut down his company for two days to teach everyone how to code using Claude Code, enabling non-technical team members to build apps.	claude.ai/code
Martel Ventures	Venture Studio	A Tier -- Martell's own AI venture studio; he rates the studio model A-minus because it requires capital, brand, distribution, and business experience that most people lack.	martellventures.com
Sell by Chat Playbook	Sales Resource (Free)	Free offer referenced multiple times -- a process document covering offer template, nine-box model, objection handling, and content strategy for selling through direct messages.	go.danmartell.com/4mWrJke
Buy Back Your Time (Book)	Book by Dan Martell	Referenced by Martell when discussing virtual assistants; the book's core thesis -- buying back your time by replacing yourself -- is the framing for why AI virtual assistants have a market.	bit.ly/3pCTG78
The Martell Method Newsletter	Newsletter	Martell's newsletter, linked in the video description for ongoing AI business content.	bit.ly/3XEBXez

Transcript

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[00:00]

Dan Martell: Every single day, thousands of internet gurus tell you how to make money with AI. But 99% of them haven't made a single dollar with AI. As someone who actually launches a new AI company every single month, most of which are making millions, I'll be ranking the only real ways to make money with AI. And at the end, I'll tell you exactly which one I'd pick and how you can actually build it.

[00:18]

Dan Martell: So let's start with the first idea: AI voice agents. Build an AI phone agent that books appointments, qualifies leads, and handles all calls for a business. Essentially, it's a full-time receptionist that doesn't sleep, doesn't complain, doesn't get sick, doesn't quit -- and it helps businesses where one missed call could cost them thousands. Think plumbers, HVAC, law firms, dental clinics. And most businesses don't even know this exists yet.

[01:02]

Dan Martell: I'll be ranking all of these AI businesses into one of four tiers. S tier -- super duper. A tier -- a little bit below, but still great. B tier -- meh. And F tier -- you might want to just ignore and run away. And to do that, we're going to look at three things: profitability, competition, and longevity. Because why would we do something that doesn't allow us to build real wealth?

[01:50]

Dan Martell: AI Voice Agent verdict: Profitability is high -- when AI attacks labor costs, $500 to $1,500 per month feels cheap compared to an employee. Competition is growing but real adoption is still low -- most businesses still answer with a real person. Longevity is strong because voice is the path to AI doing a lot of stuff for us. Rating: A tier.

[03:00]

Dan Martell: Next: AI lead generation. Build an AI that automates prospecting for businesses -- researches, qualifies people, gets data, and delivers warm leads. Entrepreneurs are overwhelmed and don't have enough leads. You come to them with phone numbers and emails -- that's a huge value prop. Profitability is high because you're directly putting money on the table. Longevity is strong; there's always a place for more leads. Platforms like Clay make this more systematic. Rating: S tier. You're selling money. Clear value proposition, easy yes.

[04:00]

Dan Martell: Next: faceless AI YouTube channels. I think it's bull. YouTube's algorithm buries AI-generated content today. Channels get demonetized within weeks. There's no brand, no audience loyalty, no way to stand out from a million other AI channels. Profitability: almost zero. Competition: anyone with an AI tool can make these. Longevity: none. Rating: F tier.

[05:55]

Dan Martell: Next: AI content repurposing. Taking long-form video and turning it into tweets, carousels, newsletters. Tools like Opus Clips and Descript help. Profitability: solid -- every creator and company with a podcast needs this. Competition: moderate. Longevity: weak -- tools are catching up and will just do this automatically. Rating: B tier.

[07:01]

Dan Martell: Next: AI consulting. Audit a company's operations and find every place where AI can save time or reduce waste. You could charge $5,000 to audit and turn that into a $50,000 implementation project. Companies know they should use AI -- they just don't know where to start. Competition: low, because not many people are qualified. Longevity: strong, because AI isn't slowing down. Rating: S tier. More meat on the bones than lead gen.

[08:30]

Dan Martell: Next: virtual assistants. Using AI tools to handle email, scheduling, research for busy founders -- acting as a chief of staff. I built Apex to do this. Profitability: decent. Competition: crowded -- anyone who knows how to use Claude Cowork can do this for free. Longevity: moderate. The real value is in the consulting-at-scale layer, not just being a VA. Rating: B tier.

[10:00]

Dan Martell: Next: AI chat agents. Local businesses need instant replies on their websites. I wanted to book dinner tonight and wished I could just chat -- but no chat agent, forced me through OpenTable. Interfaces are dead. Profitability: good because of monthly retainer. Competition: pretty crowded, low barrier to build. Longevity: moderate -- frontier models may absorb this function. Rating: A tier, behind voice agents. Many people use chat to qualify and then kick to voice for booking.

[12:00]

Dan Martell: Next: AI trading bots. Here's what nobody's telling you -- everybody selling a trading bot is essentially selling a course. If I had a bot that made 20% every year, I wouldn't tell anybody about it. Renaissance Technologies, D.E. Shaw, Two Sigma -- they're so good they only trade employee money and nobody can even invest. These bots are selling signals that last 16 months, then you buy the next thing. Rating: F tier. You're selling hopes and dreams.

[13:40]

Dan Martell: Next: AI agent development. People pay you to create AI agents -- sales bots, document processors, operational bots. The difference from virtual assistants: this is selling a team. A chief-of-staff agent managing several sub-agents like virtual employees. Profitability: massive if you get it right. Competition: most people can't even explain what this is -- it's hard and technical, which keeps people out. Longevity: strong. This is the iPhone moment of AI. Rating: S of the S of the S. Top opportunity.

[15:00]

Dan Martell: Next: AI copywriting. Landing pages, case studies, sales emails. Generalists are getting crushed. The specialists who niche down into one industry and manage all the words going out -- they win. Profitability: decent, $10-15k/month agency equivalent. Competition: high -- most popular AI use case. Longevity: shaky -- models are getting good enough out of the box that standing out is harder. Rating: B tier (top of B if hyper-niched, bottom if generic).

[16:01]

Dan Martell: Next: AI venture studio. A factory that turns out profitable businesses on repeat. Since December, anyone with an idea can get an app built themselves -- I shut down my company for two days to teach everyone to code in Claude Code. Profitability: unlimited if you do it right. Every company built to sell or go public. Competition: most people can't think at this level -- they don't have the distribution, brand, capital, or team-building experience. Longevity: highest. Rating: A-minus -- too advanced for most people.

[17:45]

Dan Martell: Next: AI-to-AI marketplace. AI agents hiring humans (rentahuman.ai -- 700,000 humans registered, 200,000 jobs placed). Stripe just released a protocol for AI-to-AI commerce. Google jumped on board. You could build the Facebook marketplace or Airbnb of AI agents. Profitability: 10-30% of transactions. Competition: almost nobody has built this at scale. Longevity: marketplaces are wildly defensible (Uber, Airbnb, Instacart). Rating: top of A tier.

[19:35]

Dan Martell: Next: AI logo and brand design. Using AI to generate logos and brand kits. Tools like Nano Banana, Manus. Profitability: medium. Competition: high -- lots of tools and people using them. Longevity: low -- most people will just ask their AI to design a logo themselves. Rating: B tier, behind copywriting.

[20:45]

Dan Martell: Last: managed AI cybersecurity. Getting paid to protect a business 24/7 from phishing, firewall breaches, social engineering, AI voice spoofing. One breach can cost millions. Profitability: wildly profitable -- enterprise contracts are the target. Competition: almost none at the practitioner level because it's so technical. Longevity: strong -- the more powerful AI gets, the more AI-powered attacks increase, the more this expertise is needed. Rating: S tier, just behind agent development.

[22:20]

Dan Martell: My pick is agent development. Here are my five launch steps: 1) Validate -- build a landing page around one use case (chief of staff), text everyone you know "who do you know that wants this?", then ask if they'd pay to solve it today. 2) Pre-sell -- email the waitlist with an early adopter offer and a payment link. 3) Launch manually -- deliver the service in a concierge/consulting approach before automating anything. 4) Build audience through partners -- find people already talking about the problem, give them a unique referral link. 5) Productize -- once transactions are consistent, reinvest in building out the automation. Most people start at step five. Do it last.

[26:00]

Dan Martell: You're not behind. There are so many opportunities ahead of you. Just pick one. Use my feedback as the guide. Stay focused. Build yourself. Invest in yourself. Understand that business is there to develop you. People who win aren't the ones who start first -- they're the ones who don't quit.

AI Master Prompt

The AI prompt on this page is auto-generated from the transcript content and is intended to support further exploration of the topics, concepts, and conclusions discussed. It is provided for informational purposes only. The user is solely responsible for all outcomes resulting from its use.

Master Prompt -- Dan Martell: 14 Ways to Make Money with AI (2026)

You are a strategic business advisor helping me evaluate and launch an AI-based business in 2026. Your thinking is grounded in the framework that Dan Martell laid out for ranking AI business models -- and in the practical mechanics of how he actually launches companies.

The core framework is a three-axis ranking system applied to any AI business idea:
-- Profitability: What will businesses actually pay, and is the margin real?
-- Competition: How crowded is the market, and how defensible is the position?
-- Longevity: Will this still be a viable business in three to five years, or will it be automated away or absorbed by a platform?

The tier system runs S (top opportunity) / A (solid, worth doing) / B (useful skill, limited ceiling) / F (avoid entirely). Martell's S tier picks in 2026 are: AI agent development (multi-agent systems deployed for business), AI consulting (auditing operations and running implementation projects), AI lead generation (delivering qualified leads directly to businesses), and AI cybersecurity (managed 24/7 protection from AI-powered threats). Voice agents and chat agents rank A tier. Content repurposing, virtual assistants, copywriting, brand design, and venture studios range from A-minus to B. Faceless YouTube channels and AI trading bots are F tier.

The launch methodology is sequential and deliberately anti-build-first:
1. Validate -- landing page, text your contacts, confirm real interest
2. Pre-sell -- email the waitlist, send a payment link, get a transaction before building
3. Launch manually -- deliver in concierge mode, prove the value, earn case studies
4. Build audience through partners -- find people already talking about the problem, give them a referral link
5. Productize -- only after consistent transactions exist, reinvest in automation

The underlying principle is that AI's most powerful economic function is attacking labor costs. The best AI businesses make the ROI visible and immediate. The worst ones sell dreams, signals, or generic outputs that the AI itself will eventually make obsolete.

Key principles from this framework:
-- You're selling money when you sell leads, or time when you replace a role; both are easy yes decisions
-- Technical depth is a moat; the harder something is to deliver, the less competition there is
-- Longevity depends on whether you're in the path of platform absorption or ahead of it
-- Validate before you build; the manual phase is not a shortcut, it's a proof-of-concept stage
-- Distribution through partners beats waiting to build your own audience from scratch
-- Productization is a reward for proven demand, not a prerequisite for finding it

This is not a prompt about passive income, dropshipping, or AI content farms. It is not about building a course on how to use AI. It is about identifying and executing on AI-enabled service businesses that deliver measurable, recurring value to real business clients.

How to use this chat:

1. EVALUATE -- give me an AI business idea and I will run it through the three-axis framework and assign it a tier with specific reasoning
2. POSITION -- help me find the specific niche, offer, and client profile that makes a given AI business model most defensible
3. LAUNCH PLAN -- walk me through the five-step Martell launch sequence for a specific idea, adapted to my situation and resources
4. STRESS TEST -- push back on my current thinking, flag longevity risks I might be ignoring, and identify where competition is higher than it looks
5. SCRIPT -- draft the specific outreach message, landing page copy, or pre-sell email for the idea I am pursuing

Respond in plain, direct language. No hype. No cheerleading. If an idea has a real weakness, name it. If my plan has a gap, close it or flag it clearly. Help me think like someone who has launched and killed enough companies to know which moves matter.

To get started, I want you to ask me three questions -- one at a time -- to understand where I am right now. Begin with the first question only, and wait for my answer before asking the next.

Creator	Dan Martell
Title	The Only 14 Ways to Make Money with AI in 2026
Source	youtu.be/K8Ros5RhJW4
Published	April 30, 2026
Views	756,150