Opening: Can AI Video Production Really Help Ordinary People Turn Their Lives Around?
Let me start with my honest experience. In early 2024, I was just another video editor squeezing onto the subway e...
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Opening: Can AI Video Production Really Help Ordinary People Turn Their Lives Around?
Let me start with my honest experience. In early 2024, I was just another video editor squeezing onto the subway every day, earning a monthly salary of 6,000 RMB, grinding away in Premiere Pro and After Effects until the early hours. Honestly, back then, I even questioned whether I had chosen the wrong industry. But who would have thought that by 2026, thanks to AI video production, I would not only have paid off my mortgage but also built a small team of five? It all started the day I discovered that AI tools could mass-produce video assets.
I know what you're thinking right now: "Here comes another person peddling anxiety, right?" Don't worry, let me hit you with the data first: In 2025, AI-generated content accounted for over 38% of all content on domestic short-video platforms. By 2026, that number is projected to exceed 50%. What does this mean? It means if you still haven't learned to use AI video production to boost your efficiency, you're essentially bringing a knife to a gunfight.
Today, I'm not going to talk in vague terms. I'll break down five monetization paths that I've personally validated or that my friends have successfully run. Each path comes with specific steps and pitfall-avoidance tips, so you can get started right after reading.
1. Market Analysis: Why 2026 Is the Window of Opportunity for Ordinary People
Let's first get the big picture straight. The AI video production ecosystem in 2026 is a completely different beast compared to now: Text-to-video quality is now approaching that of live-action footage. For instance, Runway Gen-4 and domestic tools like Vidu and Kling can generate 4K resolution, 60fps smooth footage. More importantly, AI prompt engineering has become a core skill—with the same tools, someone who knows how to write prompts can produce videos that are 10 times better than someone who doesn't.
I've observed three key trends:
Plummeting Costs: In 2024, generating a 30-second HD video cost about 8-15 RMB. By 2026, it's dropped to under 2 RMB, and many platforms even offer free quotas.
Platform Traffic Support: Douyin, Kuaishou, and Bilibili are all heavily promoting AI-generated content. Tagging your video as "AI-generated" can actually earn you extra recommendations.
Soaring Corporate Demand: Small and medium-sized enterprises can't afford traditional advertising films, but AI video editing is low-cost and fast to iterate, making it a hot commodity for marketing departments.
Simply put, this is a window of opportunity driven by information asymmetry and skill gaps. Getting in now as an ordinary person is like getting into Douyin in 2019—there's still meat on the bone.
2. Monetization Path Overview: 5 Directions, One Is Bound to Suit You
二、变现路径总览:5个方向,总有一个适合你
I've categorized the currently viable paths into two main types: Selling Services (doing it for others) and Selling Products (creating your own content). Here's the summary table first, and I'll break down each one below:
Path 1: AI Short-Video Agency Services (Selling services, low barrier to entry)
Path 2: AI History/Science Account Mass Monetization (Selling products, earning traffic shares)
Path 3: AI E-commerce Product Video Generation (Selling services, high ticket price)
Path 4: AI Video Template Design & Sales (Selling products, passive income)
For each direction, I'll tell you: what AI tools you need, roughly how much time to invest, and how to land your first client.
3. Path 1: AI Short-Video Agency Services – A Practical Path from Taking Orders to Earning Over 10K Monthly
Is This Direction Actually Profitable?
Let's get straight to the point: This is the best starting point for beginners. I had a student named A Kai, who was a safety officer at a construction site and knew absolutely nothing about video editing. In September 2025, he signed up for my AI video production bootcamp. After two weeks of learning, he started taking agency orders. In the first month, he only got 3 orders at 800 RMB each. By January 2026, he had 7 regular café clients and 2 gym clients, with a stable monthly income of over 15,000 RMB.
How to Do It? Let Me Break It Down into 5 Steps:
Choose Your Niche: Don't accept everything. Focus on local life services (restaurants, beauty salons, gyms) because these owners have small budgets but urgent needs. Use AI tools like ChatGPT to generate viral topic ideas, e.g., "This restaurant's signature dish—90% of people don't know the hidden way to eat it."
Build Your Workflow: Use CapCut's AI text-to-video feature plus Kling AI to generate scene B-roll. Remember, AI prompts need to be specific. For example, "warm tones, coffee shop, morning light, steam rising, shallow depth of field" is 100 times more effective than "nice coffee shop."
Create Samples for Clients: Make sample videos for 2 shops for free, even if you don't make money. Then, armed with the finished product, go negotiate—you can triple your quote. Don't be afraid of being taken advantage of; this is the fastest way to build trust.
Batch Delivery: After a month, you can template your editing process. For example, for food videos, use a fixed structure of "15 seconds of ingredient close-ups + 10 seconds of cooking process + 5 seconds of finished dish display," which can boost efficiency by 80%.
Lock in Long-Term Clients: Pitch monthly retainers to business owners, e.g., 8 videos a month for 4,000-6,000 RMB. This is much better than taking sporadic orders—it's stable and reliable.
Pitfall Avoidance Guide (Lessons Learned the Hard Way):
Never accept orders with "keep revising until satisfied" terms. Always specify in the contract that revisions are limited to no more than 2 times.
Don't use AI to generate videos with text. Currently, AI-generated Chinese subtitles still have a high error rate, so you'll need to manually correct them later.
When clients ask for "HD footage," clarify whether they mean 1080P or 4K. AI-generated 4K is much slower, so factor that time cost into your quote.
4. Path 2: AI History/Science Accounts – "Passive Income" from Traffic Shares and Ads
四、方向二:AI历史/科普类账号——流量分成与广告的"睡后收入"
This direction is perfect for those who enjoy watching documentaries and have an interest in history. I know a stay-at-home mom who spends 2 hours a day creating an "AI Explains Chinese Historical Figures" series, using AI video production to turn dry classical Chinese texts into vivid visuals. She currently has 120K followers on Bilibili and 80K on WeChat Channels. Her monthly income from creator incentives and ad shares alone is over 8,000 RMB, not counting occasional sponsored posts.
What's Her Core Secret?
It's a fixed persona + AI mass production. Her workflow is: First, use ChatGPT to generate a script outline (e.g., "If Zhuge Liang lived in 2026, how would he start a business?"). Then, use AI video generation tools to create the key scenes. Next, use ElevenLabs for voiceover. Finally, assemble everything in CapCut. A 3-minute in-depth video takes less than 2 hours in total.
The key point is: AI video production isn't about full automation; it's about eliminating repetitive tasks so you can focus on storytelling and topic selection. The reason her videos go viral is that she combines historical figures with contemporary hot topics in every episode—that creativity is something AI can't replace.
Practical Tips:
For science/education accounts, always hook the audience within the first 5 seconds, e.g., "The cause of this emperor's death remains scientifically unexplained to this day." AI-generated visuals should be paired with tense musical pacing.
Distribute across multiple platforms—Bilibili, Xiaohongshu, WeChat Channels. Different platforms have different algorithm preferences: Xiaohongshu likes visually stunning content, while Bilibili prefers depth.
Don't focus on making money early on. Stick to posting consistently for 30 days to let the platform tag your account. I previously wrote an AI article sharing this experience, and my DMs blew up with people saying "I just can't stick with it."
5. Path 3: AI E-commerce Product Video Generation – The Highest-Paying "Technical Skill"
This direction is arguably the most profitable but also has a slightly higher barrier to entry. E-commerce sellers are going crazy for AI video right now—previously, shooting a product showcase video required renting a studio, hiring models, and booking a photographer, costing at least 2,000 RMB per video. Now, with AI video production, you just provide product images, and AI can generate 360-degree rotating displays and usage scenarios in different settings, all for a cost of just 50 RMB.
A friend of mine, Xiao Chen, used to be a graphic designer at an e-commerce company. He quit in 2025 to do this full-time. He now creates AI product videos for small goods sellers in Yiwu, charging 300-800 RMB per video and producing 10 videos a day. Business is so good he can't keep up—he just hired 2 part-timers last month.
How to Get In?
First, go to Taobao or 1688, find best-selling products, and download their product images.
Use Krea or Leonardo to generate images of the product in different scenarios, e.g., "a thermos in the snow" or "sunscreen in the desert."
Use Kling or Runway to turn static images into dynamic videos, adding camera push-in and pull-back effects.
Finally, use CapCut to add subtitles and background music, keeping the video under 15 seconds.
Here's an AI prompt tip: When describing the scene, always include lighting, camera movement, and material details. For example, "low angle, golden sunset, backlighting, water droplets condensing on the cup wall, soft reflections" will generate a much more textured video.
Pitfall Avoidance Guide:
Always confirm the usage scope with the client. Don't let buyers use the videos on Amazon, as this involves copyright issues.
Keep screenshots of the AI generation process to protect yourself from clients claiming the videos were stolen.
Don't take food-related orders. No matter how good AI-generated food looks, clients will say "it doesn't match the actual product" and demand a refund.
6. Path 4: AI Video Template Design & Sales – True "Passive Income"
六、方向四:AI视频模板设计与销售——真正的"睡后收入"
Many people might not have thought about this direction, but it's actually the path that best fits the definition of "turning your life around"—create once, sell infinitely. You can turn your AI video production experience into templates and sell them on CapCut's template store, AE template websites, or your own shop.
I know a college student who uploaded his AI-generated cityscape transition templates to CapCut's template store, priced at 5-15 RMB each. He now earns a passive income of 2,000-4,000 RMB per month. It's not a lot yet, but he keeps uploading and is aiming for 10K monthly.
How to Do It?
Research popular categories on CapCut's template store, such as "holiday greetings," "emotional quotes," and "Vlog intros."
Use AI video production to generate 10-20 HD dynamic backgrounds, synced to music beats.
Create eye-catching cover images and demo videos for your templates—this is crucial for click-through rates.
This direction requires a bit of design sense, but you don't need to be a professional editor. I think it's especially suited for people with fragmented free time, like stay-at-home moms and college students.
7. Path 5: AI Prompts & Tutorial Sales – Be the "Shovel Seller"
Remember this saying: During a gold rush, the most profitable people are the ones selling shovels. When everyone is trying to learn AI video production, you can package the pitfalls you've encountered and the AI prompts you've summarized into documents or mini-courses and sell them.
In early 2025, I created a PDF called "The Encyclopedia of AI Video Prompts," compiling over 500 prompts for different styles and scenarios. Priced at 39.9 RMB, I sold over 800 copies in two months through my WeChat official account and Moments. That's pure profit.
Later, I upgraded it into a video course and sold it on Douyin and Xiaohongshu at 199 RMB. To date, I've sold over 2,000 copies. You might say, "But I'm not famous, how can I sell?" Here's the thing: you can start with a 9.9 RMB entry-level version, provide Q&A support during delivery to build a reputation, and then launch an advanced version.
Actionable Advice:
Your tutorials must include real case studies, e.g., "How to use AI prompts to turn an ordinary video into cyberpunk style," with screenshots at every step.
Leverage the information gap from the latest AI daily news. For example, when a new AI tool updates its features, you can release a "new feature hands-on tutorial."
Platform choices: Zsxq (Knowledge Planet) for deep communities, Xiaoe-tech for courses, and Xianyu (Idle Fish) for low-price traffic generation.
8. Pitfall Avoidance Guide: The 5 Biggest Traps for Ordinary People
八、避坑指南:普通人最容易踩的5个大坑
I've fallen into these traps myself and paid real money for the lessons. Don't make the same mistakes.
Trap 1: Chasing Perfect Visual Quality. The most important thing in AI video production is efficiency, not having every frame in 4K. Your goal is "quality the client is willing to pay for," not "Oscar-winning quality."
Trap 2: Buying Too Many AI Tools at Once. By 2026, AI tools are everywhere. Start with free trials, figure out which one best fits your workflow, and then pay. I've seen too many people buy annual memberships worth thousands of RMB, only to abandon them after a week.
Trap 3: Ignoring Copyright Issues. AI-generated music, fonts, and images all carry copyright risks. Especially for commercial orders, make sure you use asset libraries with commercial licenses.
Trap 4: Learning Only the Technical Skills, Not the Business Side. You can make great videos, but if you don't know how to drive traffic or negotiate with clients, you still won't make money. I recommend spending 30 minutes a day reading articles on AI monetization guides to develop business acumen.
Trap 5: Falling into "AI Anxiety". Don't be afraid of being replaced by AI; your job is to master it. A fellow editor of mine kept saying "AI is going to make me unemployed," and he's still taking freelance gigs because he refuses to learn.
9. Case Studies: Three "Turnaround" Stories That Left a Deep Impression on Me
Besides A Kai and Xiao Chen mentioned earlier, let me share one more case that truly shocked me.
Case 1: From a Deaf-Mute Person to an AI Video Creator. At an offline meetup in 2025, I met a hearing-impaired friend named Xiao Yang. Due to his hearing disability, he struggled to find work. But because AI video production doesn't require real-time communication, he used text and AI tools to create short historical story videos. He now has 200K followers on Douyin and earns over 10K monthly through traffic shares and product shelf sales. He said, "AI made me feel, for the first time, that I can make a living with my creativity."
Case 2: A Retired Teacher Mastering AI Video. A 63-year-old retired Chinese language teacher creates an "AI Poetry Mood" series on Bilibili. She uses AI to generate visuals for classical poems,
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