It’s not difficult to find predictions and statistics about the future impact of artificial intelligence (AI)

While self-driving cars have been a big hit with consumers, headlines in the enterprise have focused on the risks it presents to workers. Forrester, an analyst firm, has claimed that 16% of US jobs will be lost to AI by 2025. A recent report by PwC indicated that 30% were at risk from AI breakthroughs. This means that 10 million British workers could be replaced by robots in the next 15 years.

Of course, we shouldn’t expect widespread automation of the workplace by robot workers. In industries that require managing people, applying expertise, stakeholder interactions, and care roles, automation is less likely. These areas are less likely to become automated, but they are still important. Roles such as data collection or data processing, which were once highly valued for their expertise, are 64% and 67% respectively.

Is there any job that is not susceptible to an AI takeover by the AI?

If I had to guess, the ‘creative industries are relatively safe for now. It’s unlikely that we will see robot thespians performing lines from Hamlet at the RSC or auditioning to be a part of the Royal Ballet School. Yet, an AI program last year wrote a short novel that passed the first round screening for a literary award. So my estimates may have been a bit off.

Gartner predicted two years ago that 20% of business content would be written by machines by 2018. They stated that reports, legal documents, and press releases are all suitable candidates for automated writing tools.

Imitating the writer

Two core technologies are currently involved in content marketing automation. Both of these core technologies are components of AI. These are natural language processing ( NL) and natural language generation ( NL).

* NLP–a process where a computer program can understand human speech as it’s spoken. This is currently used for voice control and rudimentary translation. 

* NLG–The process of turning structured data into written narrative. It can be used to automate the writing of financial reports, product descriptions, memos, and other documents.

Both technologies work together to understand and first process language. Then, they generate it in a comprehensible way. NLP can be thought of as the reader’ and NLG the writer’. Both rely on each other to automate content creation. Wordsmiths and Narrative Science are the leaders in this area. Forbes has published earnings reports by Narrative Science, and Wordsmith created a segment on Leicester’s title season in the English Premier League.

You can’t automate a personality

The current automated content creation tools are event-driven. Artificial intelligence tools provide the structure and artificial intelligence tools give the “who, what, where, and why” information. They will be able systematically to piece together a story. It is a strength to relay information, making it useful in creating company news posts and formal reports. However, it is less useful for inbound material, which requires originality, persuasion, and creativity.

Personalization is the key to creating great inbound content. Personalization is key to creating the best customer experience. Understanding your customer’s (or company’s) greatest needs and pain points will help you create the perfect customer experience. AI can be used to help marketers reach a wider audience by using data collection and analytics. However, to connect with them and build lasting relationships, you need empathy and understanding. This is something that only human marketers are capable of delivering at the moment.

According to this Oxford University study, creatives are currently in the bottom 25% of jobs that could be replaced by bots. We all know the pace at which technology and artificial intelligence are changing and how quickly they will advance.

We may soon see more sophisticated tools, capable of writing more digestible, fluent, and even emotional copy. It’s not far away. It could be a dream that is realized alongside a self-driving car in your driveway or augmented reality at your home.

However, this doesn’t mean content writers need to worry about their livelihood. Content automation can be celebrated. If we approach it with the ability to coexist at work, it can make our jobs faster and more efficient than ever before. This is also true for other industries that use artificial intelligence. AI can compile and coherently present information, faster than humans.

The writer will be responsible for analyzing the information to determine its meaning and to communicate a larger message. Writers will be able to spend more time focusing on how articles are organized and how opinion or argument is constructed to make the most impact on the reader.