ChatGPT Statistics: More productivity, less jobs in marketing

According to our study, 23% of employees working in software engineering and tech industry are worried about their job opportunities because of language models like ChatGPT. Maybe they should be, as 26% of employers in the same industry are thinking about reducing headcount as a direct result.

Finance employees: Expectation of ChatGPT job losses at 70% less than they expect

Finance is the second-biggest industry where employees and employers have differing views on how the ChatGPT technology will reduce headcount. Employees in the finance industry do not see ChatGPT as a threat, although they should.

Our study shows that only 14% of employees in the finance sector fear that ChatGPT will be used to reduce headcounts and costs in their company. However, 22% of employers in the finance and wealth industries consider this an option if they were to introduce ChatGPT and other related technologies into their business.

On a departmental level, employees in product management and customer service departments are 2x more likely to worry about their jobs than marketers… but marketers’ skill set is the one most at risk in the job market.

Although employers may look into ChatGPT consulting services before making their final decisions, according to our data, 51% of employers who are considering reducing headcount believe that generative AI would be implemented into their marketing and PR departments. Is an unforeseen wave of marketing layoffs is coming? Only a quarter of employees in those departments envision reduced headcounts in their organization.

Although employees and employers have different opinions on the job opportunities that may be impacted by generative AI, language models like these have had widespread adoption in various aspects, and both groups polled agree that the chatbot has potential in marketing copy due to its capabilities of natural language processing. Still, for the time being, marketing employees may not have grasped just how many employers are ready to use artificial intelligence. 

In a case of human resources nightmare, 43% of employers want to hire ChatGPT as a marketing copywriter to create AI-generated content like a blog post, social media captions, etc., compared to 36% of employees who see the chatbot as having a role in this area.

Across all sectors, millennials are 43% more worried about job cuts in their industry, however, the number significantly increases when it comes to those working in software and tech.  

Within the industry however, most millennials that fear these job cuts imagine AI tools like ChatGPT being used mostly for writing purposes rather than coding and data entry, such as answering customer questions (50%), and outreaching potential clients (38%)

Most employees (32%) see an increased productivity range of 25-50% and so do employers (33%) but the latter consider AI tools like ChatGPT as productivity-enhancing tools in a higher proportion than their employees.

Employees who predict the biggest productivity boost would use ChatGPT for generative AI, employers 66%

Out of employees who believe AI-driven tools could at least double their productivity, 45% would use it for coding complex tasks, and 38% of them think it would be most beneficial for IT and engineering departments.

However, only 31% of employers believe that coding would see such a significant benefit from the chatbot. 

On the other hand, 41% of employers expect ChatGPT to double their productivity in marketing and PR departments and would use it to create marketing copy as well.

58% of 18-24-year-olds believe that ChatGPT would at least double their productivity in answering customer questions, as well as lead to job creation. 50% believe it would be most useful for writing code and generating non-marketing copy (not so much their soft skills).

37% of employers who would use ChatGPT for customer service work in the software and tech industry. Of that number, 72% are afraid of a loss of human touch.

For all the talk of ChatGPT replacing human customer service, only 14% of employers in software and tech, like software engineers (among AI-driven tools’ heaviest adopters), would be looking to reduce headcount in this area.

What about watermarking? When it comes to watermarked text making AI-generated content look untrustworthy, employers and employees share concerns regarding contacting customers. 

Of those most concerned, 39% are concerned they would seem untrustworthy in outreaching clients, and a further 44% when answering customer questions.

Companies across the world fear that direct contact with customers would label them as unreliable if they knew they were talking with a bot.  Admitting to the clients that their content is produced by AI could turn away those looking for a more personal experience.  

The paid service ChatGPT Professional begs the question: which industries in the job market are willing to put their money in the new technology? 

32% of those willing to pay over €250 per month come from the software and tech (computing and information sciences) industry, and of those, 52% are willing to pay over €500, making it overwhelmingly the sector willing to pay the most for ChatGPT Professional for AI automation.

To put that into context, in second place sits the finance industry with just 19% ready to pay over €250 per month.

Although ChatGPT has left an impression of autonomy for both employees and employers, ChatGPT has been known to make simple mistakes which begs us to wonder if it should be left unsupervised.  

Understandably, employers who think ChatGPT can work unsupervised are 18% more likely to reduce headcount within their company.

Learners of AI mechanisms, prompts, and machine learning may have positive things to look for when it comes to expected salaries. We reviewed over 5,000 Indeed job postings and found that the average salary for AI-engineering related positions was approximately 186,616 dollars per year.

As a matter of fact, the majority of those job postings had an average range of 161,812 and 175,401 dollars per year.

The most frequent job titles in AI are as follows:

However, the average salaries in AI differ greatly from the top salaries of those job listings:

And perhaps most interestingly, when looking at job title keywords, we find that the average salaries of the most requested positions are all above 150,000 dollars per year:

This paints a promising picture for the incipient field, in which companies are willing to shell out thousands of dollars for experts.

ChatGPT has created differing perceptions amongst employees and employers on its potential impact on the workforce. Whether it be on job cuts or in terms of productivity, AI-driven tools could leave an impact on both the finance and software and tech sectors with AI integrated into, most likely, their marketing departments.  

All in all, employers are willing to pay for the AI-generated text. But wait to see whether chatbot content with a watermark that might as well say “I was not written by a human” will change our usage of the chatbot, and how it will make significant disruption into other industries like legal service, healthcare, and training employees.