Matt Candy, IBM’s global managing partner for generative AI, envisions a future where AI-related jobs in various sectors will be occupied by individuals proficient in working with AI through language and creative thinking within the humanities, Yahoo Finance reported.

In this evolving landscape, a background in programming or coding may not be the sole prerequisite for individuals aspiring to shape the automated future. According to Candy, a fundamental grasp of language and its application could be the key to securing lucrative AI-related positions.

“Rather than us having to learn to talk the language of technology and programming computers, effectively they’re learning to talk our language,” Candy told Fortune.

Candy’s statement comes after a dramatic increase in demand for engineers who feed large language models like ChatGPT and Bard with questions and information to train it on human behavior and thinking.

Pay for the “professions of the future” can reach six-figure sums and are typically not dependent on IT skills.

As language models such as ChatGPT face challenges in terms of accuracy and can produce false information – known as ‘hallucinations’, the need for people with good language skills to train and interact with chatbots is becoming increasingly apparent.

In May, IBM’s CEO announced a reduction in hiring for certain roles, particularly within HR, where the majority of staff interactions now occur with a bot, according to Candy.

Addressing the Fortune Brainstorm AI conference, Paul Daugherty, Accenture’s CTO, discussed the anticipated “consolidation” of the workforce due to AI expansion, implying a decreased need for personnel to perform repetitive tasks.

“The biggest worry is the jobs for the people who won’t be using generative AI,” Daugherty said.

IBM’s Candy agrees that while he doesn’t see AI as a de facto replacer of jobs, it is likely that people who can’t use the technology will be replaced by those who can.