I Made an AI Automated Youtube Channel - Here's What Happened in 30 Days
TLDRThis video details the process of creating and growing an AI automated YouTube channel over a 30-day period. The creator selects evergreen topics such as health, lifestyle, relationships, and psychology, and uses AI tools like chat GPT to generate scripts. The process involves making a table of topics and points, designing templates in Canva for YouTube shorts, and automating the renaming of video files to match their topics. For long-form videos, the creator uses chat GPT to write scripts and Flicky to generate videos from the text. The video also touches on the importance of quality over quantity, the use of audio equipment like the Shure SM7B, and the manual process of creating thumbnails. The creator shares daily analytics, emphasizing the need for high-quality content for better engagement and YouTube algorithm promotion. The video concludes by offering insights to speed up the YouTube video creation process and inviting viewers to like, share, and subscribe for more content.
Takeaways
- 📈 The experiment involved creating an AI-powered YouTube channel and tracking its growth over 30 days with daily analytics.
- 💡 The channel focused on evergreen topics like health, lifestyle, relationships, and psychology to ensure continuous relevance.
- 📝 AI tools were used to generate scripts for both short and long-form videos, aiming to streamline content creation.
- 🔍 The creator picked topics for long-form videos by analyzing popular videos from other channels and adapting them for their own content.
- 🚀 For YouTube shorts, a table of topics and points was generated using chat GPT, which was then transformed into video scripts.
- 🎨 Canva was utilized to design templates for YouTube shorts with animations and background videos, ensuring visual consistency.
- 🖌 Titles and descriptions for videos were pre-set on YouTube to save time during the upload process.
- 🤖 A Python script was employed to automatically rename video files based on their topics, making the YouTube upload process more efficient.
- 🎥 Long-form videos were created using a script generated by chat GPT and then auto-generated into videos using a tool like Flicky.
- 🎧 Background audio was added to long-form videos to enhance the viewing experience, with care taken to balance audio levels.
- 📉 Despite the automation, the channel's growth was not as rapid as some might claim, emphasizing the importance of quality over quantity.
Q & A
What was the main objective of creating an AI automated YouTube channel?
-The main objective was to test how well an AI automated YouTube channel would grow in 30 days by publishing daily YouTube shorts and long-form videos generated with AI tools.
What type of topics were chosen for the AI automated YouTube channel?
-The topics chosen were Finance, Business, Education, Science, Health, Lifestyle, Relationships, and Psychology, as they are evergreen topics that people regularly search for.
How was the content for the YouTube shorts generated?
-The content for the YouTube shorts was generated using chat GPT, which was prompted to produce a table format with topics and corresponding points about health, wellness, mindfulness, relationships, exercise, sleep, and happiness.
What tool was used to create the visual design for the YouTube shorts?
-Canva was used to create the visual design for the YouTube shorts, utilizing its mobile video dimensions and design elements.
How were the YouTube shorts automated for bulk creation?
-The YouTube shorts were automated for bulk creation using Canva's 'bulk create' feature, which allowed linking of data fields from a spreadsheet to the text boxes in a template, generating multiple videos in a single click.
What was the process for renaming the video files to match the video topics?
-A Python script was created and executed to automatically rename the video files to the topic names based on a CSV file that contained the topics and corresponding file names.
How were long-form videos created for the channel?
-Long-form videos were created by first generating a script using chat GPT, then pasting the script into Flicky, which auto-generated the video by converting each paragraph into a separate scene with an auto-selected video and voiceover.
What was the outcome of the AI automated YouTube channel after 30 days?
-The outcome was not impressive in terms of growth or revenue, indicating that mass-producing videos without a focus on quality may not lead to significant engagement or promotion by the YouTube algorithm.
What was the posting schedule like for the AI automated YouTube channel?
-The posting schedule consisted of uploading two YouTube shorts and one long-form video each day for the next 30 days.
How did the creator ensure the titles and descriptions of the videos were consistent?
-The creator pre-set default titles and descriptions in YouTube Studio's upload defaults settings, which applied every time a video was uploaded.
What was the creator's advice on the importance of video quality in relation to quantity?
-The creator advised that focusing solely on the quantity of videos without ensuring high quality would not yield good engagement or promotion by the YouTube algorithm.
Outlines
🚀 Starting an AI YouTube Channel
The video begins with the creator's experiment to grow an AI-made YouTube channel in 30 days. They chose evergreen topics like finance, business, education, science, health, lifestyle, relationships, and psychology for the channel's content. The script for the videos was generated using AI, specifically chat GPT, to create a table format for short videos. The creator refined the AI's output to get more specific and useful topics, and then used Google spreadsheets and Canva to organize and design the video content. The process included setting up a template for YouTube shorts, adding text and animations, and linking the data to create numerous videos.
🎨 Styling and Automating Video Creation
The creator details the process of styling the YouTube shorts using Canva, including setting the display timing for different text elements to ensure they do not overlap. They also discuss renaming the video files to match the topic names using a Python script generated with the help of chat GPT. The creator emphasizes the importance of automation to reduce manual work and increase efficiency. They also mention using a Pro Plan for downloading videos and the process of uploading the videos to YouTube with preset titles and descriptions.
📚 Creating Long-Form Videos with AI Scripts
The creator shares their approach to making long-form videos by selecting popular topics from successful YouTube channels and using chat GPT to write comprehensive scripts. They then format these scripts for use in Flicky, an AI video generation tool, which automatically creates videos from the text paragraphs. The creator also discusses the process of manually creating thumbnails for the videos and the importance of checking each video's content before finalizing.
🎤 Choosing the Right Microphone for Voiceovers
The creator discusses the use of the Shure SM7B microphone for voiceovers, noting the need for an additional preamp with this model. They mention the release of a new microphone, the Shure SM7B-DB, which includes a built-in preamp, simplifying the setup process. The creator then returns to the topic of video creation, explaining how they selected long-form video topics and used chat GPT to generate detailed scripts for these videos.
📈 Analyzing the Growth of the AI YouTube Channel
After creating and scheduling the YouTube content, the creator monitored the channel's growth over 30 days, taking daily screenshots of the analytics. They candidly share that the results were not impressive, cautioning viewers to be skeptical of claims that AI-automated YouTube channels can generate significant income with little effort. The creator concludes by emphasizing the importance of video quality and engagement for the success of a YouTube channel.
Mindmap
Keywords
💡AI Automated YouTube Channel
💡YouTube Shorts
💡Long Form Videos
💡Chat GPT
💡Canva
💡Google Spreadsheet
💡Bulk Create
💡Audio Track
💡Python Script
💡AI Tools
💡YouTube Analytics
Highlights
AI was used to create a YouTube channel to test its growth over 30 days.
The channel focused on evergreen topics like health, lifestyle, relationships, and psychology.
AI tools were utilized to generate scripts for both short and long-form videos.
Chat GPT was instructed to produce detailed tables for YouTube short content.
Canva was used to create visually appealing templates for the shorts.
A Google spreadsheet was employed to organize and convert text into video content.
The process included renaming video files to match the content topic for easier YouTube upload.
A Python script was written to automate the renaming of video files based on topics.
Long-form videos were created by repurposing popular topics from other successful YouTube channels.
Flicky was used to auto-generate long-form videos from written scripts.
The video creation process, including shorts and long-form videos, took approximately 2 days to complete.
YouTube analytics were tracked daily to measure the channel's performance over 30 days.
The experiment showed that mass-produced content may not yield high engagement due to lack of quality.
A preset description in YouTube Studio was used to streamline the video upload process.
Different backgrounds were used in Canva for variety in the YouTube shorts.
The creator emphasizes the importance of video quality over quantity for better algorithm promotion.
A site called ai-search was built to help find AI tools for various purposes.
