Is Your Job Safe? Exploring AI's Impact On Employment

Artificial Intelligence (AI) has emerged as the defining innovation of our time. There's no denying that one of the most anticipated innovations of this decade is AI. So, what types of jobs might AI bring into existence? Read on!

Sonu Vivek
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Artificial Intelligence (AI) has emerged as the defining innovation of our time. While concerns about job displacement due to AI are not unfounded, it's equally important to recognize the vast potential it holds for creating new and exciting career opportunities. There's no denying that one of the most anticipated innovations of this decade is AI. So, what types of jobs might AI bring into existence?

According to a recent white paper from the World Economic Forum titled "Jobs of Tomorrow: Large Language Models and Jobs", there are three primary domains where new job opportunities could emerge. This article explores the three domains where AI is expected to foster job growth: Trainers, Explainers, and Sustainers.

Trainers: Nurturing the Brains Behind AI


Engineers Leading the Way

The backbone of AI development lies in the hands of engineers and scientists who are diligently working on large language models (LLMs). These models, like ChatGPT, serve as the foundation for various generative AI tools. Engineers and programmers play a pivotal role in designing more efficient algorithms and shaping the future of AI.

Beyond traditional programming roles, electrical engineers are poised to seize a plethora of opportunities. The demand for customized microchips to train and operate LLMs is on the rise. Companies like Meta are exploring custom AI chips, which could revolutionize chip design and lead to substantial advancements in AI capabilities.


The infrastructure supporting AI systems needs meticulous attention. Systems administrators responsible for building server infrastructure will find their roles in high demand. Ensuring these systems have sufficient energy supply also opens up opportunities in power systems engineering, ensuring the seamless operation of AI networks.

Explainers: Bridging the Gap Between AI and Users

While trainers work behind the scenes, explainers take center stage in making AI accessible to the public. These individuals are akin to "user experience designers" for LLMs. Much like the early days of personal computing when users had to navigate complex MS-DOS commands, today's LLMs can be technically challenging. Explainers bridge this gap by designing intuitive interfaces for the general public.


Explainers also engage in tailoring LLMs for specific user inputs. This could mean designing AI systems that respond to typed commands or spoken voice. The diversification of AI interfaces will unlock new opportunities for explainers, potentially leading to the development of personalized AI assistants, tutors, or coaches.

Sustainers: Ensuring Ethical and Efficient AI

Content Creators: The Art of Prompt Engineering


The role of content creators in AI sustenance is paramount. Prompt engineering, a burgeoning discipline, involves crafting text prompts to guide LLMs in generating desired content. Just as search queries shape Google's results, optimizing prompts empowers AI sustainers to produce comprehensive content across various domains. From articles and books to teaching materials and even scripts for movies and TV shows, the possibilities are endless.

Data Curators: Nurturing High-Quality Inputs

Data quality is the linchpin of AI success. LLMs rely on extensive datasets, and data curators are responsible for ensuring these datasets are of the highest quality. The internet is a vast source of training data, but curators must meticulously curate it to maintain data integrity. The role of data curation is pivotal in preventing biased or subpar AI output.


Ethics and Governance Specialists: Ensuring Ethical AI

AI's potential to produce biased, harmful, or unethical content is a genuine concern. Ethics and governance specialists play a crucial role in AI development. They conduct rigorous system testing to eliminate prejudiced language from training data. This role extends to AI safety officers and ethicists, who ensure AI operates ethically and responsibly.

Job Growth Beyond Trainers, Explainers, and Sustainers

The rapid adoption of large language models is transforming the job landscape. While it's impossible to predict all the new roles that will emerge, the Jobs of Tomorrow report highlights some areas with high potential for growth.

AI and Machine Learning Specialists

In the next five years, AI and machine learning specialists are expected to see significant job growth, potentially expanding by 39%. This trend aligns with the increasing integration of AI into various industries.

University and Higher Education Teachers

Education remains a robust sector, with a projected 10% growth in roles like university and higher education teachers. The Future of Jobs Report 2023 underscores the importance of personal interaction in such roles.

Healthcare Professionals and Non-Language-Reliant Jobs

Roles that heavily rely on personal interaction, such as healthcare professionals, are expected to remain largely unaffected by AI. Similarly, jobs that involve manual work and are not language-dependent are less likely to be impacted.

Preparing for the AI-Driven Future

AI is poised to reshape the job market, creating opportunities in training, explaining, sustaining, and beyond. The adoption of generative AI, particularly large language models, will be transformative, replacing some roles, enhancing others, and ushering in entirely new career paths. It is incumbent upon both businesses and governments to proactively prepare the workforce for this extensive transition, ensuring that society as a whole benefits from the potential of generative AI.

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