Everyone I know has started asking me the same question.

“You’re into all this AI stuff, right? So how do I make money with it?”

Honestly? For a while I did not have a great answer. I have been building with AI, experimenting, learning, documenting the whole journey here on August Wheel. But making money from it? That part is still in progress for me personally. What I have done is research this question properly, because I kept getting asked it at family dinners, over WhatsApp, and by colleagues who are watching the AI wave and wondering if they are missing something.

So this post is my honest attempt to answer it. Not the hype version. The actual version.

One thing I want to be clear about upfront: this is not a “quit your job tomorrow” article. What follows is about supplementary income. Extra money on the side while you figure out what AI can do for you. That framing matters, because anyone telling you AI will replace your salary overnight is probably trying to sell you a course.

With that said, people genuinely are making extra money with AI. Here is how.

1. AI-Assisted Freelancing

This is one of the most accessible entry points, especially if you already have a marketable skill like writing, graphic design, video editing, or social media management.

The idea is simple. You use AI tools to do your existing work faster, which means you can take on more clients without working more hours. A writer who used to deliver two blog posts a week can now deliver five. A video editor who spent hours on captions and transcripts now uses AI to handle that in minutes.

The numbers back this up. Upwork reported that demand for AI-related freelance skills grew 109% year over year, with AI video editing surging 329% to become the fastest growing skill category on the platform. Freelancers doing AI-assisted work were also earning 44% more than those who were not.

What does this look like in practice? Freelance writers are using ChatGPT to produce first drafts and outlines at speed, then layering in their own voice, research, and editorial judgment before delivery. Video editors are using AI transcription and auto-captioning tools to cut production time dramatically. Designers are using Midjourney and similar tools to generate concept variations for clients in minutes rather than days. The skill is still theirs. The AI just removes the friction.

Reality check: The bar is rising fast. Two years ago, simply knowing how to write ChatGPT prompts could command premium rates. Today that skill is the baseline expectation. Clients now hire freelancers who can build production systems, integrate AI into existing workflows, and deliver measurable outcomes. You need an actual underlying skill that AI amplifies, not replaces.

2. Content Creation with AI

Blogs, newsletters, YouTube scripts, and social media content. People are building audiences around topics they know well, using AI to help them produce content consistently, and then monetising through affiliate marketing, sponsorships, or paid newsletters.

The key phrase there is “topics they know well.” AI handles the drafting and structuring. The human brings the perspective, the experience, and the voice. That combination is what builds an audience. Raw AI output with no human editorial layer tends to read like raw AI output, and audiences notice.

Many people are using AI to improve grammar, write emails that actually get replies, create newsletters, draft YouTube scripts, structure research, and polish website copy. It speeds up production, but the thinking and positioning still comes from them. The income model on top of this can be affiliate commissions, display ads once traffic grows, or paid newsletter tiers.

Reality check: This is slow money. Affiliate marketing with AI speeds up content creation significantly, but meaningful monthly income typically arrives after three to six months of consistent work. Content creation is a long game dressed up as a side hustle. Anyone telling you otherwise skipped the part where you spend four months publishing to an audience of eleven people.

3. Selling Digital Products and Prompts

This one is closer to home for me, because it is part of the August Wheel roadmap.

People are packaging their AI knowledge into sellable products: prompt packs, automation templates, mini guides, and short courses. Platforms like Gumroad, Etsy, and marketplaces like PromptBase allow you to sell these with no inventory, no shipping, and no overhead beyond the time it takes to create them.

A well-crafted prompt pack for a specific use case, say prompts built specifically for real estate agents or social media managers, can sell for anywhere between £5 and £50 depending on how well it is positioned and how clearly the value is explained. People who bundle prompts into proper guides with context, examples, and use cases do significantly better than those who just list raw prompts.

Reality check: The low end of this market is getting saturated fast. Listing a handful of generic prompts for £2 is unlikely to go anywhere. The products that sell consistently solve a specific problem for a specific person. The more narrow your target, the better your chances.

4. AI Automation Services for Small Businesses

This one requires a bit more confidence and know-how, but it is genuinely one of the most in-demand entry points right now.

Small businesses are drowning in repetitive tasks. Following up on leads. Sending invoice reminders. Posting to social media. Answering the same customer questions over and over. AI and automation tools like Make.com and n8n can handle most of this, and many business owners have no idea where to start.

Even simple automations can be worth hundreds or thousands of dollars to businesses because they save time and reduce manual work. If you can set up a basic workflow that saves a business owner five hours a week, that is a tangible outcome they will pay for. The typical model here is a one-off setup fee, sometimes followed by a small monthly retainer for maintenance and updates.

Reality check: Business owners will often tell you “I can already do this with ChatGPT.” The issue is not capability, it is time. Doing it one by one is exhausting. What they really want is automation, and for that they need proper custom frameworks and structured workflows, not just prompts. Your value is never the tool. It is the setup, the testing, and the fact that it actually works when they need it to.

5. Earning More at Your Current Job

This one gets overlooked because it does not feel like a side hustle. But it is arguably the most reliable way AI can add money to your life right now.

People who use AI tools at work are producing more, producing faster, and increasingly being recognised for it. Roles that mention AI skills in job descriptions offer roughly 28% higher salaries, about $18,000 more per year on average, than similar roles without that requirement. That is real money, and it does not require building anything from scratch.

Reality check: This only works if you get visible with it. Using AI quietly and not connecting it to your output or your name gets you nowhere. You have to show what you are producing, tie it to your work, and make sure the people who matter can see the difference. Invisible productivity does not get rewarded.

What About Building AI-Powered Apps?

Everything above sits in the supplementary income category. But it would be dishonest not to mention that some people are taking this further.

Solo developers are building full SaaS products, AI apps, Chrome extensions, and micro tools and some are pulling significant monthly revenue doing it. These are not large teams with venture capital. They are individuals who identified a specific problem, used AI coding tools to build a solution faster than would have been possible before, and launched to a niche audience.

On communities like r/SaaS and r/Entrepreneur, people regularly share how they are launching small products through what is now called vibe coding, using AI to write most of the code while they focus on the idea and the execution. Some report earning $200 to $500 per month in early recurring revenue from niche tools, with many growing from there.

However, an analysis of over 1,000 micro-SaaS businesses found that 70% generate under $1,000 per month, and only 1 to 2% exceed $50,000 per month. Most founders should plan for 12 to 18 months to reach meaningful revenue.

This is a different conversation from supplementary income. It is closer to building a business. The path is real, but it is not a weekend project and it is not guaranteed. Worth knowing about. Worth thinking about. Just not the same as picking up an extra few hundred pounds a month from freelancing or digital products.

The Overall Reality Check

Most people asking “how do I make money with AI” are really asking “is there a shortcut I am missing?”

There is not. What AI does is compress the time it takes to build something real. It does not skip the building part. The people making consistent extra income from AI are not doing it because AI is magic. They are doing it because they picked one thing, stayed consistent for longer than felt comfortable, and used AI to do more of that one thing than they could have done alone.

That is the honest answer. It is not as exciting as the headlines. But it is what is actually working.

I am documenting my own version of this journey here at August Wheel, including the parts that are still in progress. If you want to follow along and get practical, no-hype content on AI and automation in your inbox, the newsletter link is below.

Frequently Asked Questions

Can I make money with AI as a complete beginner? Yes, but manage expectations carefully. Content creation and selling simple digital products are the most accessible starting points. Do not expect significant income in the first month.

How much can you realistically earn with AI on the side? It varies widely. Freelancers using AI tools on platforms like Fiverr and Upwork report a few hundred pounds per month as a realistic starting point, growing with consistency and niche focus. Automation service providers often charge per project, with setup fees ranging from £100 to several hundred pounds depending on complexity.

Do I need to be technical to make money with AI? No. Most paths covered here, content creation, freelancing, and digital products, require no coding. Automation services are the exception, though tools like Make.com are designed specifically for non-developers.

What is the fastest way to start making money with AI? AI-assisted freelancing tends to produce income fastest if you already have a marketable skill. Digital products take longer to set up but can earn passively once live.

Is the AI money-making space too saturated? Some areas are crowded. Generic content and basic prompts face a lot of competition. Specific, well-positioned products and services aimed at a defined audience still have genuine room.

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