Has AI Infiltrated Your HR Department?
The new frontiers for AI are less technical than you’d expect.
Interaction with AI technologies is becoming increasingly prevalent in the workplace, especially in admin and sales jobs.
Among admin roles, HR leads the adoption of AI.
AI relieves admin and sales teams of repetitive and manual tasks while engineers and scientists are using their technical skills to develop new AI tools.
ChatGPT, the chatbot launched by OpenAI last November, has taken the world by storm. The latest release of GPT-4 is expected to be even more enhanced than its predecessor that powers ChatGPT. While the full labor-market implications of new AI tools remain to be seen, what is clear is that jobs that interact with AI technologies are becoming increasingly prevalent in the workplace.
Using millions of job descriptions on public resumes, we identified AI-related positions as those mentioning keywords like “artificial intelligence”, “chatbot”, and “neural networks”. It comes as no surprise that engineers and scientists hold the highest share of AI-related positions. However, we also see that the shares have increased for all job categories over the past few years. Most notably, the growth is the highest for admin and sales jobs.
Among AI-related admin jobs, the most common roles are those in human resources. HR departments handle a lot of tedious yet essential administrative tasks within their organizations. With the help of AI tools like ChatGPT, HR specialists can automate repetitive tasks like screening applications and scheduling interviews. This allows them to expand their roles to take on other business challenges.
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AI-related keywords also appear across a variety of sales jobs, with customer success specialist being the most common one. Similar to HR specialists, AI tools like chatbots can automate many manual tasks and help sales reps boost their productivity and focus on higher value-added tasks.
How do AI-related admin and sales jobs differ from AI-related engineer and scientist jobs? For one thing, the former are overwhelmingly more likely to list buzzwords such as “artificial intelligence” and “data science” in their descriptions. Engineers and scientists, on the other hand, are more likely to list specific technical skills. It seems that AI relieves admin and sales teams of repetitive and manual tasks while engineers and scientists are using their technical skills to develop new AI tools.