I Made an AI Automated Youtube Channel - Here's What Happened in 30 Days
TLDRIn this video, the creator shares their experience of running an AI-powered YouTube channel over 30 days. They chose evergreen topics like health, lifestyle, relationships, and psychology, and used AI tools to generate scripts for both YouTube shorts and long-form videos. The process involved using chat GPT for content generation, Canva for designing video templates, and Flickry for video creation. Despite the automation, the channel's growth was not as impressive, highlighting the importance of quality over quantity. The creator emphasizes that while AI can speed up content creation, achieving success on YouTube still requires significant effort and high-quality content to gain algorithmic promotion and audience engagement.
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 interest and searchability.
- 📝 AI tools were used to generate scripts for both short and long-form videos, aiming to automate the content creation process.
- 🔍 Chat GPT was employed to create a table of topics and talking points for YouTube shorts, which were then refined for better specificity.
- 📊 A Google spreadsheet was utilized to organize the generated text into a structured format for further processing.
- 🎨 Canva was used to design a template for YouTube shorts, with animations and text boxes linked to the spreadsheet data for automated video creation.
- 🖥 A Python script was written to automatically rename video files based on their topics, making the YouTube upload process more efficient.
- 🎧 Audio tracks were added to the videos in post-production to complete the shorts before uploading them to YouTube.
- 🌟 For long-form videos, topics were chosen based on the popularity of similar content on other channels, ensuring potential for viewer engagement.
- 📹 Flicky was used to generate long-form videos by auto-selecting video clips and voiceovers corresponding to the script's paragraphs.
- 📉 The channel's growth was modest over the 30 days, highlighting the importance of quality over quantity in content production for YouTube success.
Q & A
What was the main purpose of creating an AI automated YouTube channel?
-The main purpose was to test how well an AI-generated content YouTube channel would grow in 30 days by publishing both YouTube shorts and long-form videos daily.
What criteria were used to select the topic for the AI automated YouTube channel?
-The criteria included choosing an evergreen topic that is popular and consistently searched for by people over time, such as Finance, Business, Education, Science, Health, Lifestyle, Relationships, and Psychology.
How did the process of generating YouTube shorts using AI involve Chat GPT?
-Chat GPT was used to generate text for shorts by providing a prompt that instructed it to create a table with topics and corresponding points related to health, wellness, mindfulness, relationships, exercise, sleep, and happiness.
What was the role of Google Spreadsheet in organizing the generated text for YouTube shorts?
-Google Spreadsheet was used to copy and paste the generated text into a structured format with columns for topic and points, which facilitated the creation of multiple YouTube shorts.
How was Canva utilized in the creation of YouTube shorts?
-Canva was used to design a template for the YouTube shorts with a background, title, and text boxes for the topic and points. It also allowed for the animation and timing of each text box to ensure they appeared sequentially in the video.
What was the significance of using a pro account for Canva during the creation of YouTube shorts?
-A pro account was necessary to access features like bulk creating and downloading pages as separate files, which streamlined the process of generating and exporting multiple YouTube shorts.
How were the long-form videos created for the AI automated YouTube channel?
-Long-form videos were created by first generating a script using Chat GPT, then pasting the formatted script into Flicky, which auto-generated the video by converting each paragraph into a scene with an auto-selected video and voiceover.
What was the process for renaming the video files to match the video topic?
-A CSV file was created with two columns, one for the topic and one for the file name. A Python script was then used to automatically rename all the video files based on the CSV file.
How did the YouTube channel's analytics progress over the 30 days?
-The channel's analytics were tracked and screenshot daily. While the growth was not as impressive as some other claims, it provided an honest insight into the process and challenges of growing an AI automated YouTube channel.
What was the recommended approach to setting up a default description for YouTube videos?
-It was suggested to preset a default description in YouTube Studio under settings and upload defaults, which would automatically apply a general description to all uploaded videos.
What was the conclusion about the effectiveness of an AI automated YouTube channel after the 30-day experiment?
-The conclusion was that while AI can speed up the video creation process, the quality of the content is crucial for engagement and promotion by the YouTube algorithm. Mass-producing videos without focusing on quality may not yield significant growth or revenue.
Outlines
🚀 AI-Powered YouTube Channel Growth Experiment
The video script details a 30-day experiment where an AI was used to create and publish both YouTube shorts and long-form videos on a new channel. The creator chose evergreen topics like finance, business, education, science, health, lifestyle, relationships, and psychology to ensure continuous search interest. The AI tool, chat GPT, was utilized to generate scripts, which were then formatted into a table and converted into YouTube shorts using Canva. The process included setting up a prompt for chat GPT, refining the output, and creating a Google spreadsheet to organize the content. Canva was used to design a template for the shorts, and the entire process was streamlined for efficiency, from script generation to video creation.
🎨 Styling and Automating YouTube Shorts Creation
The paragraph outlines the process of customizing the appearance of YouTube shorts and automating their creation using Canva. It describes how to adjust the timing of text boxes to ensure they display sequentially and not simultaneously. The creator named the channel 'School of Inner Peace' and added animations for visual appeal. The script also details how to link the chat GPT-generated data to the Canva template, create variations with different backgrounds, and add audio tracks. The process concludes with downloading the videos and renaming them to match the video topics for easier YouTube upload and management.
📚 Efficiently Producing YouTube Shorts Batches
This section describes the continuation of creating YouTube shorts in batches with varied backgrounds for more diversity. It also mentions the process of downloading the shorts as separate files, which requires a Pro Plan subscription on Canva. The creator suggests a workaround for renaming the video files to match the topics, which improves the YouTube upload process by automatically filling in the video titles. Additionally, the paragraph discusses setting default descriptions in YouTube Studio to streamline the upload process further.
🎤 Creating Long-Form Videos with AI Scripts
The creator discusses the process of making long-form videos for the YouTube channel. They chose topics related to health, psychology, and relationships based on popular videos from other channels. The script for the long-form videos was generated by chat GPT and then formatted for use in Flicky, an AI video generation tool. The paragraph explains how to refine the AI-generated script, remove unnecessary elements, and prepare it for video creation. It also covers the process of manually selecting videos and adjusting audio levels in Flicky to complete the long-form video.
🌟 Finalizing and Uploading Long-Form Videos
After generating the long-form video with Flicky, the creator focuses on creating an appealing thumbnail and uploading the video to YouTube. They mention that designing thumbnails is a manual process and share their approach to selecting images and text for the thumbnail. The paragraph concludes with the steps for uploading the completed video and thumbnail to YouTube, adding a relevant description, and publishing the video.
📈 Reflecting on the AI YouTube Channel Experiment
The final paragraph reflects on the entire process of creating an AI-driven YouTube channel, including the production of both shorts and long-form videos. The creator spent two days on content creation and then scheduled the uploads for 30 days. They provided a realistic perspective on the growth and monetization of an AI YouTube channel, cautioning viewers to be skeptical of claims about rapid earnings. The video concludes with a call to action for viewers to like, share, subscribe, and follow the creator's additional content on ai-search.
Mindmap
Keywords
💡AI Automated YouTube Channel
💡YouTube Shorts
💡Long Form Videos
💡Chat GPT
💡Google Spreadsheet
💡Canva
💡Evergreen Topic
💡Video Optimization
💡Audio Track
💡Python Script
💡Bulk Create
💡Content Scheduling
Highlights
AI was used to create a YouTube channel to test its growth over 30 days.
The channel focused on evergreen topics like finance, business, education, science, health, lifestyle, relationships, and psychology.
AI tools were employed to write scripts for both YouTube shorts and long-form videos.
Chat GPT was utilized to generate table formats for short video texts.
Canva was used to create a template for YouTube shorts with a pro account for more features.
A naming convention was established to automatically fill in video titles from file names.
A Python script was written to automate the renaming of video files based on topics.
Long-form videos were created by analyzing popular topics from other successful YouTube channels.
Chat GPT generated detailed scripts that were formatted and used in Flickry to auto-generate videos.
Flickry was used to automate the video creation process, selecting videos and voiceovers for each paragraph.
Thumbnails for long-form videos were created manually to ensure quality.
YouTube shorts and long-form videos were scheduled for upload over 30 days.
The channel's growth was monitored and recorded through daily screenshots of YouTube analytics.
The experiment showed that mass-producing videos without quality may not yield significant engagement.
A site was built to search for AI tools, showcasing the integration of AI in content creation and searchability.
The process from creation to upload took approximately 2 days, demonstrating an efficient workflow.
The use of AI in video creation aimed to speed up the process but emphasized the need for high-quality content.