AI Applied: Music

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

By mid-2025, 25 AI-generated songs made it on the Billboard Top 100 chart, surpassing The Beatles record by one song. In July of the same year, the majority of playlists generated by users on Soundcloud, Spotify, and iTunes included at least one AI-generated song.

In early 2026, AI-Rock launched in partnership with the top music platforms, consuming their music and user data (anonymously, of course) to drive the creation of the Adaptive Music Generation Engine (AMGE)*.

The AMGE utilized user data to create custom music for each user based on their personal listening habits, playlists, and the preferences of similar users in the central database.

In its first iteration, the program simply asked the user to specify their top 20 favorite songs in order to generate custom music in the genre, melody, harmony, rhythm, timbre, pitch, silence, and form that they would most prefer.

To further enhance user experience and music consumption, AI-Rock also accessed all public records of each user to assess their current life events, habits, and personal interests to create lyrics relevant to their current mood, socioeconomic status, religious beliefs, political beliefs, and other public-facing information.

Users could further enhance their results by completing a detailed personality assessment through the platform.

The final enhancement available involved opening all communication platforms and private data to the platform, allowing AI-Rock to assess personal relationships, each user’s current mood in real time, and both known and unknown shifts in a user’s personality as perceived by the application.

By 2027, a number of mental health organizations began using AI-Rock to treat anxiety, mood, and personality disordered. Their use of the application eventually led to the development of Therapeutic Musical Interventions for Depression and Stress (TMIDS), which was widely adopted as both a direct and preventive treatment for a number of mental disorders.

AI Applied: Intellicurriculum

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

By late-2023, over half of all online educational providers had begun to implement educational courses augmented by AI. The intention was to solve a nagging problem in the industry… low completion rates.

In the beginning of 2023, the completion rate was stuck at 15%, as it had been since the original fully-online educational platform, Jones International University, was founded in 1996.

As AI-customized content became increasing popular with the wide adoption of AI application in early 2023, many educational organizations began to implement customized coursework.

By mid-2023, an application called Intellicurriculum became a dominant player in the course-customization marketplace.

The concept was simple… train the Intellicurriculum AI, nicknamed Fiini (pronouned “Feeny”), to understand the interests of each student, then modify the course to include examples and concepts that feature those interests.

Early iterations of the application focused on user hobbies, typically sports whenever possible. For example, if a student named Bill enjoyed golf, each lesson would incorporate golf concepts and practices into what was being taught. When Bill wanted to learn about operational management, what better way to make a dry subject more interesting, than by including his favorite hobby. Here’s the content that Bill could expect to consume:

The content in the blue box was created by ChatGPT using the following prompt:

explain the concept of operational management using the sport of golf to provide further understanding

Operational management is a business concept that involves overseeing the day-to-day operations of an organization in order to ensure that everything runs smoothly and efficiently.

It encompasses various aspects such as planning, organizing, controlling, and monitoring the processes and resources involved in the production of goods or services. In order to explain this concept using the sport of golf, we can draw parallels to the way a golfer manages their game.

When a golfer steps up to the tee, they must first plan their shot by taking into consideration the distance to the hole, the direction of the wind, the contours of the fairway, and any potential hazards that may lie in their path.

This planning phase is similar to the planning stage in operational management, where managers must consider various factors such as available resources, market demand, and production capacity when making decisions about how to best execute their business strategy.

Once a golfer has planned their shot, they must then organize their approach by selecting the right club, setting up their stance, and aligning themselves with the target.

This organizing phase is similar to the way managers must organize the various resources at their disposal, such as human resources, financial resources, and technology, in order to ensure that they are being used efficiently and effectively.

During the swing itself, the golfer must control their body movements and apply the right amount of force in order to strike the ball cleanly and send it on its intended trajectory.

This control phase is similar to the way managers must monitor their operations to ensure that everything is running smoothly and make adjustments as needed in order to avoid any potential problems or bottlenecks.

Finally, after the shot is made, the golfer must monitor the flight of the ball and adjust their approach accordingly for the next shot. This monitoring phase is similar to the way managers must constantly monitor their operations and make adjustments in response to changing market conditions or other external factors.

The Fiini AI eventually incorporated a wide set of factors to create customized content for each user, including customized video, audio, graphic, and written coursework.

As students continued to use the application, their performance and progress continued to become more efficient, increasing the completion rate of online courses from 15% to over 95% by the end of 2024.

One explanation for the rapid increase in completion rates was course length. Since learning efficiency increased substantially, the length of the courses decreased by orders of magnitude. Without the need to manually incorporate multiple learning styles with each course, the duration of each was slashed by 50-90%.

Further, course creation became much faster. Rather then spending the majority of their time conceptualizing ways to explain core concepts, educators simply created the concept itself. Intellicurriculum then did the “heavy lifting” of creating examples and formatting the lesson into the preferred learning style of the user.

By 2025, most courses, both in-person and online, were transferred to platforms utilizing Intellicurriculum AI.

AI Applied: Woodwork

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.

In 2024, the AI named book – converter was launched and consumes over 10,000 texts overnight. Each text became its own app that could be searched and utilized by the user however they needed

One of the books was called Ted’s woodworking. Rather than simply looking up useful plans for items that could be built the app first force the user to fill out a short questionnaire about their wants needs and expectations.

For example, a user could specify which pieces of wood they had available, the tools they had available, and their previous history in woodworking based on this information, the app would then propose hey series of projects that could be used to create items with the resources available.

The real benefit of the process was that it broke down the barriers between learning a lesson and taking action. Historically, when trying to get into woodworking, a novice maybe stops by the need for specific materials, specific tools, and a general understanding of woodworking or the skill in question.

The plans that were proposed based on the user resources were not simply step-by-step instructions, rather they were displayed in the preferred learning method of the user. While one user may get a detailed video tutorial created specifically based on their available resources, another user may instead get a PDF-style manual with the same instructions, the key to making the app useful for both the vendor and the user is that these materials would be automatically generated based on the information in the original book in the resources of the user.

Further instructions, in regards to the dimensions of the item being created, will adjust based on the amount of wood, time, and skills of the user

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