Week 2 - BALT 4362 - ChatGPT Social Media Post

-

 Chapter 3/4 in Automation with AI covered how different industries used software bots and RPAs in their operations. One industry that has been flooded with AI created content is social media. I was curious on how this process worked so I prompted ChatGPT with this, "How do AI social media posts work and how much money do they generate."

"AI-generated social media posts work by using tools like ChatGPT, Jasper, or Canva to create captions, hashtags, images, and even videos. These tools can generate content based on trending topics, user prompts, or specific brand styles. Once the content is created, platforms like Buffer or Hootsuite can be used to schedule and automatically publish the posts. Some advanced tools even offer A/B testing to compare variations of a post and determine which one performs better. In some cases, AI bots are used to simulate engagement by liking, commenting, or following other accounts, though this is often against platform rules. Additionally, there are fully AI-generated influencers or virtual personas—like Lil Miquela—who post content and interact with followers as if they were real people.

The amount of money AI-generated content can make varies widely depending on how it's used. For example, influencers and creators often use AI to scale their content production, enabling them to post more frequently and capitalize on trends faster. They can earn money through brand deals (ranging from $500 to $50,000 or more per post), affiliate marketing, and ad revenue from platforms like YouTube or Instagram. Entrepreneurs also create niche pages (like meme or motivational quote accounts) that use AI to post multiple times per day. These pages can earn anywhere from a few hundred to several thousand dollars per month through shoutouts, digital product sales, or affiliate links."



With ambition and basic AI platform skills, people are creating accounts that end up being almost completely ran by AI, and with scheduled posts these accounts bring in millions of views a day. The person that runs the account can schedule how many posts per day and in most cases the more content you can put out the more likely a video goes viral. 


Comments

Post a Comment

Popular posts from this blog

Jude's Introduction Post 4361-4364

-
Image
Welcome to my blog!  My name is Jude Sullivan, and this will be my third Fall here at Benedictine. I am originally from Paris, Illinois but made the decision to move across the country and continue my baseball career in warmer weather, at the Mesa campus. I played on the baseball team my first two years, but I have decided to focus on school/work for this Fall semester. I will be graduating in December with an Accounting degree, and I am looking forward to learning the skills that this class will require.
Read more

Week 8 - BALT 4362 - AI Image and Video Generation

-
Image
AI’s ability to create realistic images and artwork has exploded in the last few years, and in my opinion, it is both amazing and terrifying. With the correct prompt, anyone can make professional-quality pictures, no art degree required. Businesses can now use tools like DALL·E, Midjourney, and Canva’s AI generator to design posters and logos in seconds. This levels the playing field for small businesses that do not have the marketing budget to compete with bigger corporations. This can also be applied to students. You can make visuals for class projects, creative writing, or social media without needing advanced design skills. I know I have been able to use it to create presentation visuals I never would have been able to come up with on my own. It does a great job bridging the gap for people who might lack creativity, like me.  But as cool as it is, there are some real downsides. Artists worry about AI copying their work or taking credit for their style, and some AI-generated im...
Read more

Week 2 - BALT 4363 - CH 2

-
Image
Chapter Two of Data Toolkit,  and more specifically the exercises within the chapter,   helped me understand the basics of how Python can control and organize what a program does. Control structures like loops are like giving a set of instructions that the computer can follow repeatedly or only under certain conditions. The examples using “for” and “while” loops made it clearer how repetition works. An example of this would be repeating something a certain number of times or until a condition changes. I liked the comparison to a remote-control car, because it helped me see how code can “steer” what happens in a program. Seeing the examples with “if” and “if-else” statements helped me see how Python can make decisions, like checking whether a number is even or odd. The guessing game example at the end was especially interesting because it combined all the ideas, loops, conditions, and user input into one project. It made Python feel a little less intimidating, since I could se...
Read more