Gartner Predicts 80% of AI Workforce Will Need Upskilling by 2027

Generative AI will spawn new roles in software engineering and operations through 2027 that will require 80% of the workforce to upskill, according to a new Gartner report.

Essential upskilling will include retrieval-augmented generation (RAG) skills, which is a technique for enhancing the accuracy and reliability of generative AI models. As well as developing a range of highly skilled AI engineers who can meet the rapidly increasing demand for AI-empowered software. 

Contrary to “bold” claims and speculation that AI could reduce demand for human engineers, or even supplant them entirely, it will instead transform the future role of software engineers, said Philip Walsh, Sr Principal Analyst at the consultancy.

“Human expertise and creativity will always be essential to delivering complex, innovative software,” he said.

He added that the “AI engineer will possess a unique combination of skills in software engineering, data science and AI/machine learning, skills that are sought after.”

Gartner analysts found that in the short-term, AI tools will generate modest productivity increases by augmenting existing developer work patterns and tasks. This will be most significant for senior developers in organizations with mature engineering practices.

Related:AI-Assisted Development Tools vs. Low-Code/No-Code: What to Use When

Continue Reading This Article on AI Business