There are some obvious advantages to being able to produce content quickly, no matter what your philosophy on content production or content marketing is. If you’re interested in building a bigger online presence and promoting your brand, producing more content faster accelerates your marketing course. If you want to cover news stories quicker, a faster turnaround time gives you an edge over the competition. And no matter how or why you want to reduce content, the time you save with faster content production can be used for more important applications. Now that generative AI is here, many content creators and marketers are asking the question: can AI speed up your content creation?
The Potential for Fast Content Creation
There’s no question that AI is incredibly fast at what it does. All you have to do is type up a prompt to serve as instructions for the AI generation engine, and it can probably produce what you’re asking for in a matter of minutes.
Already, generative AI is being used by marketers to churn out endless articles for blogs and offsite posts. It’s being used to write digital books, which are then sold on Amazon. It’s even used by lawyers to draft legal briefs.
If you’ve spent any time using generative AI, you know there’s no question – it’s faster than human beings when it comes to generating comprehensible material.
The Acceptance of Generative AI
It’s also worth noting that there seems to be widespread acceptance about the relative value of content created by generative AI. Many readers can’t tell the difference between content generated by AI and content generated by humans. And if you’re interested in search engine optimization (SEO), you should know that Google’s official policy on AI-generated content is perfectly acceptable – or rather, they don’t immediately disqualify content just because it’s been written by AI.
Still, there are some limitations and weaknesses of generative AI that prevent it from being the end-all solution to fast content creation.
The Limitations of Generative AI
These are just some of the limitations of generative AI:
- Accuracy. Generative AI isn’t totally reliable at stating facts. Even if you’re doing objective research, there’s a chance the generative AI engine will feed you misinformation or questionable claims.
- Personality. AI content tends to be very predictable, rigid, and devoid of any real personality since it comes from an engine that’s been trained on millions of pieces of content. People want personality in the content they consume, so this is a serious downside.
- Opinions. Many people consume content to read and understand other people’s perspectives and opinions, but you won’t find these in material generated by AI. Most platforms are designed to be almost painfully neutral.
- Expertise and experience. Generative AI does fine with universally accessible topics, but it cannot feign expertise or genuine human experience.
- Reliance on prompt engineering. To overcome the problems here, you need to proactively practice prompt engineering. That means being very specific and deliberate about the prompts you feed to generative AI engines; there’s an art and a science to this if you want better results.
The Right Way to Accelerate Content Production With AI
So, what’s the right approach for accelerating content production with AI?
- Brainstorming. Generative AI is amazing at helping you brainstorm. You can use it to discover more subtopics from an overall umbrella topic. You can use it to come up with potential titles for new articles. You can even use it to challenge your beliefs and assumptions before diving into a given topic.
- Preliminary research. You can also use this tool for preliminary research. There are some accuracy issues with the material that most AI tools give you, but you can always fact-check this material to validate it before including it in your finished work. Generative AI is exceptionally good at reducing complex topics to simplified forms of expression, so if you’re having trouble learning or understanding something, tap into this potential.
- Outlining. There’s also nothing wrong with using generative AI for outlining, which could save you minutes to hours, depending on the length of your piece. You’ll still have total control over the core, body, and content, but you’ll have a framework to work with almost immediately.
- Sectional drafting. Generative AI may also be useful in drafting certain sections of your content. Use it to generate ideas, produce text, and modify it, or just use generative AI material as a jumping-off point. Just don’t rely on generative AI exclusively.
If you want to produce content quickly, and you still care about quality, you shouldn’t exclusively rely on generative AI tools. But if you use these tools intelligently and continue pouring your own expertise and personality into your work, you can expedite content delivery without having to sacrifice your standards.
Featured image provided by Google DeepMind; Pexels; Thanks!
