Pros and Cons of AI Generated Content

Machine learning is the newest fad that’s captured the minds of several marketing agencies, newspapers and scholars alike. You can safely call it mainstream too. The basic idea is pretty straightforward. Feed a computer system with copious examples of things you want it to “learn” — e.g. language translation, content generation — and by trimming away the outliers, the right solution/result will emerge as a statistical probability and also be recognized uniformly as the best possible match. It is easy, fast and doesn’t cost like the human workforce.

So, here we list down 10 solid pros and cons of AI generated content:

Pros:

1. AI Generated Content is Easy Work

Content created by artificial intelligence doesn’t require extensive human input. Meaning a company can operate with a few human heads and churn numbers in vast quantities. As an organization/company your productivity increases, you earn more and save even more. This means profitability for a company as AI content is faster, better and costs less. This way you can move your focus on other important fields. Also, it’s important to remember that AI generated content works as a support system and isn’t separate from the human touch. It’s an aid.

2. It’s Made by Humans

Let’s face it AI generated content is nothing but a concept created and operated by people. Essentially we are the boss. The tedious algorithms are written by professional programmers who “teach” the machine to develop a skill set. The machine learning can be altered or tweaked according to our whims and fancy.

3. Capture Various Platforms in one Go

You don’t need to hire a large team for your increasing content demands as AI can churn relevant content in huge numbers with the touch of a button. This means fewer people to manage at a workspace, less dependency on interdepartmental communication and less fear of your content eroding in quality. Besides, you can publish the content across various channels quickly and easily, whenever you need to.

4. Creates Efficient Content

Thanks to the richly designed templates and the power of creating thousands of variations, the artificial intelligence aided content is useful in both numbers and quality. For each individual or company, automation can generate several iterations of descriptions and break down complex information. Also, when work is done manually, there is a clear risk of human error. However, with automation quality is never undermined and a standard is always maintained.

5. Personalisation Becomes a Cake Walk

The best part of AI is the ease with which you can tailor make content for different clients and audiences. Be it, targeted groups or particular individuals, machine generated content is a cost-effective way of reaching out to several platforms with personalized content.

Cons:

1. Lacks an Understanding of Human Behavior

Application of artificial intelligence can yield impressive results regarding quantity, but the content generated can lack a common sense of human behavior. The algorithms can put 2+2 together factually, but invariably lacks a sense of emotion that good emotive content requires.

2. Black & White, Can’t do Gray

AI generated content is all things binary. It can tell you what is good or bad, but it can’t tell you the gray areas. It lacks the judgment to give an opinion on products or items one can’t give a definitive answer on. Such gray areas can only be tackled by a human content expert.

3. It Can’t Come up with New Ideas and Lacks Common Sense

Content created by artificial intelligence is based on existing data and facts. It can’t think up new and fresh ideas. It works around the data it has accumulated and information it has been fed. Automated content can lack common sense. Why do we say that? A mix and match of algorithms can make a red carpet blue or a woolen shawl polyester. AI can’t see lines, circles, squares or color. It doesn’t know textures or the feel of those textures. This is not to say that AI content is flawed. It just needs extra time in automating several categories and combining several narratives at once.

4. Context and Depth Goes Down

AI generated content lacks an emotive quality. While the content will read great and be churned in massive numbers, the content can’t empathize or go in the depth of a conversation. It can only opine and talk about the narratives and categories it’s combined with and taught about.

5. Human Articles are Easily Distinguishable in a Flood of AI Content

No matter how extraordinary the learning of your machine is through structured data, the fact is machine generated content can’t be subjective and lacks the art of giving opinions. While a machine can talk about the look and features of a product like a pro, it can’t really raise an argument or give an opinion on a subject or product. Human writing reflects our wealth of knowledge on the subject and has an emotive quality a machine can’t match up to no matter the level of calibration and customization.

The crux of the matter is, applications of artificial intelligence to generate content is the next big thing that will create its own place in content creation. Of course! This does not mean human content expertise will no longer be needed. Content automation requires time and effort. You need to have a rock solid understanding of branching and rule-based logic. Besides, there is always the need for additional tweaking, editing, and improvements. The best part is, that AI content helps create efficient content that can be personalized for different audiences at lightning speed in the best possible way. It’s a lifesaver, particularly because AI generated content helps save money and increases the productivity of a company.