Content Creation and Evolution of AI: How Machine Learning is Transforming the Industry.
In a YouTube video, a person was explaining the entire operation of video making “content creation” for beginners on YouTube channels. Here is the outline:
Go to Chat GPT, write something like “write me the script for my YouTube video about fashion”, and Chat GPT (or some other AI writer) will write everything for you. Next, go to the AI Voice recorder, copy the script from Chat GPT and paste it on the Voice recorder, it will generate voice over. Next, go to the stock footage site like Motion array, Envato Elements etc. and download some video/photo clips matching your storyline. Combine everything in any video editing software to produce a YouTube video. DONE.
By doing all this AI is the creator, or a human?
If I will execute the same steps mentioned above, I am more precisely a compiler, not a creator. Every YouTuber calls himself a “content creator”! Does AI is going to change the entire dynamics of the content creation industry?
The battle between desktop and laptop, the combat between DSLR and mirrorless cameras, and the conflict between on-premise and cloud computing have been more or less similar issues in the past and both parties co-exist. I think in the current case both parties may complement each other.
Fast growth in artificial intelligence technologies boosts the entire ecosystem of Content Creation and Evolution of AI from ideas generation to the development of virtual influencers.
Some of the major sub-domains in content creating industry where AI is participating actively:
Content Creation:
Creating high-quality content that stands out is crucial in the modern digital economy and requires a significant investment of time and resources. AI-based content generators, such as GPT-3 and Jasper from OpenAI, can produce reasonably good text quickly.
Old-school people are always there who accentuate the classics. The establishment of AI-assisted visual content generators like Dall-E 2 is down the road.
AI-SEO
The use of AI in SEO may revolutionize how marketers optimize their websites to rank higher on search engine results. Failing to rank well can result in a significant loss of potential search traffic and ultimately decrease revenue for a business.
Personalization
Another way that AI is impacting content creation is through personalization. AI-powered algorithms can analyze data, such as text and images, to create personalized content for individual users. This can be done by analyzing the user’s browsing history, search queries, and other data points to create content that is tailored to their interests. This can be particularly useful for online retailers, who can use AI to create personalized product recommendations for their customers.
Virtual Influencers
AI-powered influencers might be sustainable alternatives for some brands to cope with rapidly popularizing influencer marketing. Li Miquela is a popular social media virtual influencer who gained significant visibility and can help brands stand out of the crowd.
In addition, ideas generation and text optimization have also been handed over to AI.
Are there any ethical implications?
I was working in a stem cells and regenerative medicine laboratory and we were trying to discover novel cell-based therapies for skin burn patients. In the laboratory staff, there was a full-time employee who was taking care of the ethical and legal aspects of the research. I think stem cell research is not as directly related to the common man as AI-generated technologies.
While the impact of AI on content creation is undeniable, some ethical concerns may need to be considered. For example, AI-generated content may not be as nuanced or creative as content created by humans. This could lead to a homogenization of content and a lack of diversity in voices and perspectives. Additionally, the use of AI in content creation could lead to job displacement for human content creators.
Conclusion
As AI continues to evolve, it is significantly impacting the creator landscape and providing new opportunities for technology-driven advancements and innovations not only in content creation but encompassing the entire digital ecosystem.
Though it would be great if AI will serve more in the health and medical science realm, for instance assisting in diagnostics, modeling the potential of treating capabilities of novel chemistry-based as well as stem cell-based regenerative therapies, etc. This might extrapolate AI’s applications beyond the digital ecosphere.
