How To Create Youtube Susing Ai, I will remember the moment I decided to change my content strategy. It was 2:00 AM on a Tuesday. I was working in Adobe Premiere Pro to keyframe a text layer in a 45-second video, since I knew only 500 people would see the overlay. I was draining myself through feeding the YouTube Shorts machine.This is damaging to the person who creates it, the one who markets it, or the one who owns the business. The need to sell in large quantities is insatiable. YouTube continues to urge you to post daily; you must take a break to maintain your sanity.
It is then that I switched to an AI-supported workflow. Last year, tested dozens of tools and created hundreds of Shorts, in addition to analysing retention graphs to identify what is retained. The conclusion? AI is not a magic button that will replace creativity, but the most appropriate exoskeleton a creator can attach to. With all that is known in this experience, it is time to make something of it. The following is a very viable guide, or in-depth analysis of the creation of YouTube Shorts using AI, not just an idea, but based upon the real-life processes already in progress.
The Hybrid Psyche: Why Fully Automated Channels Struggle.
It is crucial to discuss a widespread myth before discussing particular tools: tutorials often suggest that you can get rich by uploading a large number of AI-generated videos in a short time. The reality is more complex.
YouTube’s algorithm was cleverer in my case. It detects “spammy” patterns. The purpose, in this instance, is not to generate garbage; it is to make the time-consuming aspects irrelevant, i.e. finding the footage, cutting the space, captioning, etc., so that you can focus on the story. I call it the Hybrid Workflow: AI will do the heavy lifting; you will concentrate on issuingthe orders.
Let’s break the workflow into its core phases. Phase 1:
Writing and Ideation (The Blueprint). It is never really the editing, but the plain paper. I would doom scroll to get inspired. On any given day, I am refining my raw thoughts using LLMs (large language models). However, the most frequent mistake is when one requests a script. A chatbot will give you a Wikipedia article when you command it to write a script on coffee. It is predictable,and the viewers’ retention will drop.
The Expert Approach:
Give AI a clear framework. When scripting, I ask for a hook-value-CTA structure with three parts.
- The Hook: Should be graphic, provocative, or startling.
- The Value: The core of the video, presented quickly.
- The CTA (Call to Action): However, make it discreet.
The CTA (Call to Action): but in an unobtrusive way. This is a technique I just used with a client in the finance niche. We provided the AI with an in-depth article on inflation and instructed it to read it aloud in 60 seconds, then summarise it in an 8th-grade reading-level script. This was the sanest and most solid of the previous three human drafts. Having the script prepared, we have time to consider things to see. It is divided into two primary paths: Repurposing or Generation.
Path A: The Repurposing Engine (Opus Clip and other tools in the same category) is an immediate path for using available media to edit and restructure content and convey the desired message to the reader. It is your goldmine if you already have long-form content (podcasts, webinars, Zoom calls, or long YouTube videos). I have been using applications like Opus Clip heavily. You can link to your long YouTube video, and it doesn’t just cut it into pieces. It breaks down using NLP (Natural Language Processing) to identify a viral moment, which is a single thought with an origin, middle, and conclusion.
My real-world observation:
These tools show surprisingly similar Virality Scores. I tested it by uploading a clip rated 99 and another rated 60. The retention rate for the 99 clip was 40%. Higher. It also adds automatically: the colorful captures of the Alex Hormozi type which hold the viewer with the screen. This saves me approximately 90 petestedd of time on editing.
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You might require B-roll when you have got a blank channel (faceless) to work with. Stock footage platforms like Pexels were used before. I am currently working with AI aggregators, including InVideo AI and Pictory. You enter your script, and the AI searches through millions of stock movies to find matches for your keywords.
Pro Tip: Artificial intelligence is susceptible to misinterpretation. When you talk about the market crashing, you may be referring to a literal crash rather than a stock chart. The schedule will need to be checked manually. I have also moved to Midjourney to generate custom images in more artistic or abstract niches (e.g. horror stories or history) which I then animate with tools like Runway Gen-2 or Pika Labs. It introduces an aesthetic value that generic stock footage lacks.
adds colourfulals, let’s address Phase 3: Voice (that vs. Cloning).
Aon you have made visuals, choose your voice style: you can use stock AI voices or voice clone the speech. Audio makes or breaks a Short. Unacceptable audio will trigger an automatic swipe. Text-to-speech sounded close enough to a GPS navigator. That era is over. The current leader in this area is ElevenLabs, and I would apply it it to practically all faceless content. The intonation settings and breath pauses are anthropomorphic.
Ethical Consideration:
I have experimented with voice cloning (using my voice to correct mistakes in the recording without respeaking the entire clip). It works terrifyingly well. Still, I strongly recommend avoiding the use of a cloned celebrity’s voice in your content. In addition to the grey areaof Ethics, deepfakes are being blocked o sites. YouTube currently asks makers to claim the presence of AI-generated content. It entails building a channel based on the voice of a third party.
Now that visuals and audio are handled, you can assemble everything in Phase 4:
Putting it together and the “Retention Draft.” This is the place where magic is created. There is your script, your voice-over, and your clips.
Recently, I have transferred some of my work to CapCut Desktop. Why? Since their AI capabilities are a part of the timeline.
- Auto-Captions: It results in the immediate creation of subtitles. I walk in and make corrections in proper nouns.
- Filler Word Removal: It recognizes filler words (e.g., “um” and “ah”) and automatically removes them.
- Effects AI: It can produce zoom-ins and stickers based on audio spikes.
The “Human Sandwich” Strategy:
To achieve high EEAT (Experience, Expertise, Authoritativeness, Trustworthiness), I never make the AI’s final export. I always do a manual pass. Sound effects (wooshes, pops, risers) are added manually. AI is poor at timing and scheduling comics. A computer cannot determine when a jest is actually being made. And there, no human intuition can be overridden.
With your video now complete, let’s look at how to move through the YouTube Algorithm using AI.
The YouTube Shorts algorithm prioritises two values: Average Percentage Viewed (APV) and Swiped Away vs. Viewed. The APV is aided by AI, enabling faster processing and greater visual stimulation compared to manual operations. However, AI can be harmful if it appears soulless.
Cinema goers are becoming AI detectors. They swipe because they believe they are being read to by a generic robot voiceover over generic stock footage, driven by a generic ChatGPT script. This is the reason why I would focus on the “Hybrid” model. Improve your workflow with AI, and do not market your personality.
The Future of AI Shorts
We will also soon reach the stage when text-to-video becomes a reality (see Sora by OpenAI). But until then, the curators are the creators who will win the game. The better part to look at yourself in is not so much as a writer/editor, but as a Director. Your team and cast are artificial intelligence.
The thing you have to do is make them create something that will appeal to a human being on the other side of the screen. There will never be fewer barriers at the entry stage, whereas the excellence barrier is high. These devices are aimed at buying your time back so you can use it on the one thing AI cannot provide: a unique point of view.
(FAQs)
Q: Does my channel get demoted by the usage of AI voiceovers in YouTube?
A: In most cases, no. The AI-generated voiceovers should be original and genuine; otherwise, they may be monetised spam or repurposed. Low-quality videos produced in large quantities should be avoided.
Q: Will I confess that I have been creating AI in my YouTube Shorts?
A: Yes, in some instances. Recently, YouTube’s Policy was updated, requiring creators to check a box indicating whether their work contains modified or fake media that appears real. This would apply to most realistic scenery or cloned voices, but not necessarily to AI colour correction or script idea generation.
C: Could I write my entire script using ChatGPT?
A: You can, but you shouldn’t. Raw AI scripts tend to be monotonous and lack a hook. Outlining or brainstorming can be done using ChatGPT; however, the script must be rewritten by you, as it allows you to add human emotion, slang, and personality.
What is the best free AI tool that is useful in YouTube Shorts?
It is agreed that CapCut is the most preferable free entry point. It has built-in auto-captions, AI effects, and text-to-speech, which are pretty suitable for a free mobile/desktop application.
Q: How much time does it take to make a Short using this AI workflow?
A: With your templates in plac,e a faceless video that would have cost you 3 hours the day before would be created in 2030 minutes. It can take less than 10 minutes to use Opus Clip to reuse a long video as clips.
Q: Can AI copyright strike me?
A: Copyrightability of the AI-generated content is typically nonexistent because the music or stock footage adopted by the AI might be. Also, you must have a commercial license for any stock materials and music you plan to use with your AI video tool.