Quality content production takes time, research, and skills, but now, we must mention selecting the right tools. For example, you can generate a seemingly professional article or image in seconds.
Thus, the skill, although necessary, becomes more of a supplement or a nice-to-have element. So, in general, what effects does the current tech toolset have on content creation? Additionally, what opportunities or obstacles does it introduce to more traditional creators?
The essence of AI in content creation
The AI positions itself as a helpful tool for creating content much quicker. You can, for instance, make a book cover in seconds, simply by describing what you expect from it. Businesses themselves adapt to AI usage, with brands like L’Oréal taking advantage of AI to generate thousands of marketing videos and images. So, its primary focus is automation and quick delivery.
Yet, AI is a nuanced concept, and its role differs for many creators. Even if you are against using AI to generate content (replacing human power), there are ways to optimize your workflows.
AI for the quick delivery of content
Plenty of types of content can be created through AI tools. The selection is broad, and understandably, not every tool performs as well as expected. Let’s explore the different content generation tools and how they perform:
Text content creation
Text creation or generation is likely the most well-known AI assistance. You might have heard of these tools:
- ChatGPT is one of the most accessible and easy-to-use tools. Of course, you need some experience with prompt generation (receiving the information you need quicker.
- Marketing writers are likely familiar with Jasper and Writesonic, which help create promotional pieces, landing pages, and blog posts.
- Sudowrite is likely more familiar to people who have dabbled in creative writing, such as novels or screenplays.
- Scalenut offers various features for producing SEO (Search Engine Optimization) content. It combines the writing process with keyword research and SERPs.
Common advice for writers using AI is fact-checking, since tools can exaggerate facts or attempt to match your statements regardless of the truth. Another pressing issue is the newly born AI checkers, which claim to detect generated content.
The results of such checks should also be treated with a grain of salt. They frequently produce inaccurate results, recognizing human-written content as AI. This flagging usually occurs because AI looks for writing patterns and can treat certain expressions or phrases as AI-generated. Furthermore, the discrepancy in the results from different AI checkers makes it challenging to understand which leans more towards the truth.
Image creation
Many tools, like ChatGPT, also include features for image generation. However, the chances are that specialized tools should outperform them. For example, Midjourney, Adobe Firefly, Canva AI, or Leonardo AI will do better at this creative task.
The biggest concern for AI image generation is its ethical and legal usage. Some tools require a paid plan (with a commercial use license) to use images for business purposes. However, it depends on your tool, and free image generation is likely restricted to personal use cases. Additionally, when working online, it’s essential to ensure your browsing and data transfer are secure. In this context, what is a VPN, and how can it enhance your security while using these tools? The following section reveals another red flag for using AI images for commercial purposes.
Video creation
AI tools for video creation enable people to generate full-fledged videos simply by describing them. Such text-to-video is a revolutionary power, allowing anyone to improve their marketing or YouTube channels with some unique shots. You can try Pictory, Synthesia, Runway ML, Descript, or Adobe Firefly Video to play around with this. The latter also has an interesting benefit.
Adobe Firefly Video is the first AI video generator to claim to be commercially safe. What does this mean? The data Adobe Firefly Video uses to generate content is not inspired by trademarked or copyrighted content. So, you can avoid legal issues if your content turns out to be a replica of some protected work.
Aim for co-creation, not a hands-free experience
Don’t have AI doing all the work for you (no matter how tempting it is to automate your process to the fullest). Its role as an assistant is excellent, but as an unsupervised creator, not so much.
After all, AI creations lack originality and can pick up inaccuracies or hallucinations. Furthermore, the lack of AI makes videos more vivid, as most of them are immediately recognizable by the audience.
AI tools for content creation analytics
AI tools help create content and track the performance of your work. For example, all popular options include AI-powered features, such as YouTube Studio, TubeBuddy, Whatagraph, Klipfolio, and others.
In addition, users can even get paid to watch YouTube videos or other visual content to provide feedback. Brands could require opinions on different content and whether it blends in or doesn’t appear to be AI-generated. In other cases, you could even participate in AI training opportunities related to helping AI recognize and understand data.
Smaller task assistance
AI capabilities extend quite a lot when it comes to helping you with any task related to content creation. For example, you can quickly generate captions for images, hashtags for social media posts, or informative YouTube video descriptions. You can use them as inspiration, or leave them as is (like hashtags that do not necessarily require much originality).
Additionally, AI has tremendous benefits during the research stage:
- Use it to find information or summarize an extensive collection of data sets.
- AI could assist in content repurposing, such as transforming an extensive blog post into a brief post suitable for social media. It will recognize the main points and make it promotional and inviting for readers.
- Let AI generate ideas for you with trending topics or those tailored to your target audience.
Give humans the final word
Regardless of what you do with AI, no content should be used as is without being reviewed by people. It does relate to the possible inaccuracies and mistakes, but there is another push for human participation.
For example, brands that took the opportunity to automate their captions with AI noticed a significant drop in user engagement. The captions felt robotic and unnatural, which pushed the brand to pursue a different strategy: write with AI and have humans edit and finalize the content.
Conclusion
AI has a special place in our lives, and many people no longer turn to Google for answers; instead, they type in their questions directly to ChatGPT (or something similar). Harnessing the power of AI means following the latest trends and taking advantage of its assistance. However, there are many pitfalls, like losing creativity to pass AI checks or accidentally using an image containing copyrighted elements. So, be cautious of the tales we discussed in this article and attempt to pursue helpful yet safe AI usage.