The benefits and drawbacks of AI Copywriting

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The benefits and drawbacks of AI Copywriting

The history of artificial intelligence, deep learning and machine learning is a long and complicated one. It’s been around for decades, but it wasn’t until the late 1950s that AI really started to take off in research labs across Europe with projects like SHRDLU (a program designed by Terry Winograd).

The first major breakthrough in artificial intelligence came when researchers at Stanford University developed what was called “the General Problem Solver.” This system could solve any problem given enough time – even if there were no instructions on how exactly you would go about solving said problems! But despite these advances over human-level performance being made as early back then; they weren’t widely used because computers didn’t have much power or storage space compared to today.

AI content writing has been a hot topic in the marketing industry for quite a while now. Some people are excited about AI’s potential to create high-quality, engaging content but others remain sceptical. However, as we head into 2021, it is important to revisit this conversation and ask: can you trust AI to get it right? Can AI technology be used to help with marketing your business?

The answer is yes, but it depends on what we mean by “getting right.”

If we are talking about the quality of content that AI can produce for content marketing, then yes. The technology has come a long way in recent years and there’s no reason to think this trend won’t continue into 2021 or beyond as more people invest time (and money) developing better algorithms for machine learning platforms like IBM Watson Content Hubs.

Search engines like Google rely on high-quality content, so why wouldn’t you give yourself a hand with content creation to help write your marketing copy? This in turn is likely to help with your SEO. You could even use your AI copywriter to help with product descriptions – something notoriously difficult if many other sites use the same defaults.

However, if your question means will an algorithm ever be able to write something so well humans cannot tell whether they were written with human input? Probably not anytime soon because machines still lack some important qualities found only among humans: creativity; empathy; nuance, understanding context, etcetera.

The benefits of AI copywriting

There are many…

  • AI as a copywriting tool can be a fantastic addition. Think of it as an additional copywriter.
  • An AI writer can scan a vast amount of content and use it to feed into your current copy.
  • You no longer need to manually research and find new topics/topics about which you are knowledgeable.
  • Save time by enabling AI to write high converting copy/content. Many use it to help write ad copy.
  • AI systems are an affordable way to reduce time spent on tedious and overwhelming tasks.
  • You will spend more time doing what you want.
  • The drawback is it doesn’t have a human touch, but you can still edit the copy for your own voice.

One of the most important is that AI can produce content at a much faster rate than humans. It can also use the content to make predictions about what your readers might want or need.

The AI will be able to scan and read through all of this data, then it’ll know how best for you as a writer – so that means no more time wasted on research!

You won’t have any excuses when an article is due because there’s nothing stopping these machines from getting their work done in record speed (and with high accuracy). It would take hours if not days just reading up enough information before being confident writing anything at length without making mistakes along the way, but now writers don’t even really NEED TO do much other than write down some ideas they may already have floating around inside them.

The drawbacks of AI copywriting

The drawbacks to using artificial intelligence for writing blog posts and other types of text-based material are few, but they do exist.

  • You miss out on the creativity and innovation that comes from being in charge of your own content.
  • It’s important to have a human element, especially for ads. If you really want to show empathy with customers, it makes sense that a real person be behind it.
  • Machines are not that good at making small talk or understanding cultural nuances.
  • Automated content can be impersonal and alienating unless a human is there to keep an eye on it.
  • You will probably still need to use a grammar checker. It doesn’t get it right all the time.

AI can’t use metaphors or analogies when writing copy. This is can be a problem because it’s what makes content interesting and engaging to read, not just informative but also entertaining for the reader. It would be like reading an article that was all facts without any context whatsoever. It isn’t always an issue, but worthy of consideration.

You cannot trust AI to get it right all the time. It’s not a question of trusting the machine, but rather understanding its limitations so you can be more effective in your work while still maintaining what makes content valuable: creativity and personality!

You will need both humans AND machines for this process if they want their marketing efforts by being successful – that is one thing marketers should never forget about when employing artificial intelligence as well…

It may seem like all science fiction with robots taking over everything; however, there are plenty of examples today where people have done great things thanks largely due time spent working alongside them instead without depending too heavily upon just computers alone.

Can a machine have empathy?

In the future, we may see AI content writing being used to create empathy in a story.

This is because it’s difficult for humans (especially journalists) not only to write about things they don’t know anything about at all but also to have an emotional response that readers can relate with and feel something from what was just read or watched.

It would be easier if machines were able to do this work instead of people who are already overworked as well. In any case, I think you’ll agree when reading my post today on how much more efficient using machine learning technology could make your life.