Andela, an AI-native talent and services platform, analyzed 47,000 recent engineering job postings from Fortune 500 companies. The research, released on Thursday, identified over 2,000 skills that contribute to 23 newly emerging job titles in the engineering field.
This analysis found that these new roles are not entirely novel but strategically combine existing skill sets. For instance, among 1,832 postings for AI or ML engineers, 53% required at least two skills drawn from different established roles.
In the current economic climate, companies are responding to AI in various ways. Some are consolidating extensive work and experience into broad AI engineer or machine learning engineer titles. Others may be exploring AI as a means to replace tech workers.
However, more forward-thinking organizations are redefining job titles and descriptions to align with the demands of integrating AI safely and efficiently throughout the software delivery lifecycle.
Cory Hymel, head of research at Andela, stated that deploying AI involves understanding the distinct skill sets of AI and humans. The goal is to delegate tasks AI can perform while recognizing that human skill sets remain significantly broader.
The research contradicts the idea that AI will lead to more generalist roles. Hymel noted that the data does not support the notion that AI will push people to be more generalist, indicating that specialization remains crucial in the evolving AI landscape.
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Andela analyzed 47,000 engineering job postings from Fortune 500 companies, identifying 23 new job titles and over 2,000 skills emerging due to AI. This research indicates that AI is creating specialized roles by merging existing skill sets, rather than promoting generalist positions.