1. AI and Machine Learning into Content Generation
The introduction of AI and machine learning into content generation marked a pivotal shift in the digital
content landscape, transforming how content is created, optimized and distributed.
Initially, AI’s role in content-related tasks centered on improving quality, efficiency and scalability. Early
applications were relatively straightforward, focusing on enhancing the user experience through spellchecking, grammar corrections and search engine optimization (SEO) techniques to ensure content visibility
and relevance.
These foundational AI applications set the stage for more sophisticated and nuanced AI-driven content generation and management systems. By automating routine tasks and providing analytical insights, AI tools began to offer significant advantages, saving time and resources, while improving content accuracy and consistency.
We are currently using AI to generate content across multiple channels (audio/video, podcasting, programmatic
SEO, email, YouTube, TikTok, etc.), in near-automated frameworks, including a human-in-the-loop (HITL) giving
the final approval.
2.The Foundational AI Applications
Before getting too granular, let’s first dive into an overview of how AI applications are being put to work
within content programs.
One AI platform that’s particularly popular at the moment is ChatGPT, a natural language processing (NLP)
tool that allows users to have human-like conversations.
Chat GPT can answer questions and assist users with tasks, such as composing emails, articles or social media posts—and with specific prompts (the more specific, the better),
it can complete these tasks in seconds.
3. ChatGPT has limitations: It doesn’t generate original thinking or ideas
AS Ai becomes more intuitive, Chat GPT does not generate original content. In many cases, the content may not be correct. Chat GPT may not always provide the correct response (or a wellwritten response); it doesn’t cite sources; and it only
pulls from existing information up until 2021. With that, we acknowledge ChatGPT isn’t a tool that can replace
content programs or the people who execute them; rather it can help aid various steps within the content
creation p
4. AI Available to the Masses
Artificial Intelligence is no longer a promise of the future. AI is a firm reality in the day-to-day lives of millions of new users.
Conversational and generative AI applications like ChatGPT skyrocketed in recent months, with both businesses and individuals alike leveraging it to expedite various components of the content process, in particular. These tools support idea generation, keyword optimization, content summarization and so much more, ultimately helping to expedite content workflows and save time and resources that could be leveraged elsewhere.
But — are we going too fast? Are these tools ethical? Are they actually effective? How exactly are they changing content programs? Let’s dive in.
