How To Use AI To Make Money On YouTube – 7 Ideas For Optimizing Creative Flow

AI for youtube
Kaspars Grinvalds / Shutterstock.com

The American Dream has always been about chasing success and making a better life for yourself and your loved ones.

And these days, it seems that many people are chasing the dream of making money on YouTube and becoming a successful YouTuber.

YouTube can be a lucrative platform for creators, with many YouTubers earning significant amounts of money from their channels.

Mr. Beast, whose real name is Jimmy Donaldson, is practically a household name YouTuber who has made tens of millions of dollars from his YouTube presence. Examples of other successful YouTubers who have made significant earnings include PewDiePie, who reportedly earned $15 million in 2019; Shane Dawson, who earned $30 million in 2019; and Ryan Kaji, who earned $26 million in 2020. Some lifestyle YouTubers are making over $10,000 a month building meaningful content on their channels.

Additionally, there are several case studies that demonstrate how much money can be made from YouTube. For example, the channel “Casey Neistat” had over 10 million subscribers and was able to earn over $12 million in a year just from YouTube ads, sponsorships and merchandise. Another example is Jenna Marbles, who has made over $30 million from her videos alone, plus additional revenue from merchandise and sponsorships.

These examples show that it is possible to make significant amounts of money from YouTube through advertising, sponsorships, and merchandise sales.

How are people using AI to make money on YouTube?

With the help of AI, the dream of making money on YouTube and becoming a successful YouTuber is becoming more accessible than ever before.

There are many AI tools that can help you create and publish videos designed to go viral, optimizing video content for maximum engagement, monetize video content through affiliate links and identify influencers who can promote your products or services to a large audience. AI can also automate the creation of video content and predict which video content will be successful, saving you time and increasing the efficiency of your video production process.

So, if you have always dreamed of making a living by creating and sharing videos on YouTube, now is the time to chase that dream with the help of AI.

It’s worth noting that YouTubers can greatly increase their revenue depending on the niche, audience, and engagement. Some niches are more valuable than others. For example, the ad earnings for a channel focused on personal finance or cooking might be more than one focused on video games or general sports news.

However, with the help of AI, creators can optimize their content, monetize their channel and use predictive analytics to make informed decisions about their content and strategies. Overall, YouTube can be a highly profitable platform for creators, but it requires a significant investment of time and effort to build a large and engaged audience.

There are several ways that people are using AI to focus on maximizing their earnings on YouTube.

Creating and publishing original video ideas

Original content is important on YouTube. To monetize, your video must be fully original and not plagiarize. This starts with the building blocks for your video, the script. You can use AI to generate the script and narration for your videos, which can be used to create viral videos that are designed to capture the attention of your audience.

For an 8-minute long video – the sweet spot for monetization – you can use these tools to help create a script that’s about 2000 words

Actionable example: Use WriteSonic, Jasper , or Rytr to write a voice over script for your YouTube videos. 

Text-to-speech

AI-powered text-to-speech tools can help you generate the script and narration for your videos. These tools can use natural language processing to create human-like speech, making it easier to create engaging and high-quality videos.

One way AI can help is by using natural language processing (NLP) to generate scripts that are engaging and high-quality. This can be done by using AI-powered text-to-speech tools, which can generate scripts by analyzing large amounts of data and identifying patterns in language.

Additionally, by analyzing the performance of their videos, AI can help YouTubers optimize the script by identifying which elements of the script are more likely to engage the viewers, such as the tone, the pacing, the humor and the emotional appeals.

Actionable example: Use Synthesia or Murf AI to create an audio file of your script to use as a voiceover in your YouTube videos. 

Optimizing video content

The most time consuming part of making YouTube videos is the editing process. Simply put, you can rush perfection. You can use AI to analyze the performance of your videos and make adjustments to improve their reach and engagement. This can help increase the number of views and likes on your videos, which can lead to more monetization opportunities.

Actionable example: Use In Video to make your video more visually engaging. Use Designs.AI to optimize the visual assets of your channels. Use Glasp to highlight key information in your YouTube videos for compelling summaries and descriptions. 

Monetizing video content

You can use AI to identify products or services that would be relevant to your audience and then include affiliate links in your videos. This can help you earn money by promoting other people’s products or services to your audience.

Actionable example: Use ChatGTP to generate affiliate and sponsorship ideas. Use Surfer SEO to optimize search traffic for your video. 

Automating content creation

You can use AI to automate the creation of video content, such as by using AI to generate captions, thumbnails, and titles for your videos. This can help save time and increase the efficiency of your video production process.

If you’re looking for innovative ways to generate AI-based images, Shutterstock just launched an AI feature in their Creative Flow online design platform. Harnessing the power of OpenAI and Dall-E 2, subscribers can create images based on text prompts.

Example: Use Pictory or Synthesia to make AI generated videos from text or Cutout.Pro to make compelling thumbnails for your videos. 

Influencer marketing

You can use AI to identify influencers in your niche who can promote your products or services to a large audience. This can help increase your reach and bring more customers to your business.

Actionable example: Use ChatGTP to brainstorm strategic influencers – both macro and micro – on a video topic. 

Predictive analytics

Prediction engines help creators understand how a video might perform based on previous success. You can use AI to predict which video content will be successful and which won’t, and to optimize your video content accordingly. This can help increase the chances that a larger audience will see your videos, resulting in more monetization opportunities.

Actionable example: Use vidIQ to identify and optimize your YouTube channel to grow your viewership and audience.

Author
B. Carlisle

Contributing editor at Wealth Gang. An entrepreneur at heart, he's passionate about meaningful ways to leverage technology and social media for business opportunities and side hustles.