Certainly, here are the details from the World Economic Forum’s recent white paper on how AI is reshaping job markets, introducing new roles categorized as ‘trainers,’ ‘explainers,’ and ‘sustainers’:
**Introduction: Creative Destruction in Technology and Economics**
In the ever-changing landscape of technology and economics, the concept of “creative destruction,” initially coined by Joseph Schumpeter in 1942, remains central. It underscores the inevitability of change, where old methods and job roles are replaced by innovative ones.
**Jobs Created by AI: Trainers, Explainers, and Sustainers**
The AI revolution is not only eliminating routine jobs but also ushering in new opportunities in three crucial domains, as outlined in the World Economic Forum’s white paper ‘Jobs of Tomorrow: Large Language Models and Jobs.’ These domains are ‘trainers,’ ‘explainers,’ and ‘sustainers.’
**Trainers: Nurturing AI’s Foundations**
AI’s contribution to job creation is most evident in the training sector. Engineers and scientists are taking the lead, working on large language models (LLMs), the driving force behind generative AI tools like ChatGPT. Beyond traditional programming, electrical engineers are discovering fresh prospects in custom microchip development for training and operating LLMs. AI-driven design tools are poised to reshape the chipmaking industry.
**Explainers: Bridging the Gap with Users**
Explainers play a pivotal role in making AI user-friendly. They resemble “user experience designers” for LLMs, focusing on designing interfaces that simplify interactions between individuals and AI. These interfaces are crucial in broadening access to LLMs among the general public, ensuring that this technology is not confined to experts alone. Explainers also specialize in tailoring LLMs for specific tasks, paving the way for personalized AI assistants, tutors, or coaches.
**Sustainers: Ensuring Responsible AI Deployment**
Sustainers are instrumental in ensuring the responsible and effective use of AI systems. This category encompasses content creators, data curators, as well as ethics and governance specialists:
– Content creators engage in prompt engineering, a burgeoning discipline, crafting text prompts to guide LLMs in generating desired content. Proficient AI sustainers can swiftly produce comprehensive content across diverse domains, from articles and books to training materials and entertainment.
– Data curators are responsible for maintaining the quality of input data, which significantly impacts AI output. Their meticulous quality checks are essential, particularly for internet-sourced training data.
– Ethics and governance specialists are critical in preventing AI from generating biased, harmful, or unethical content. They oversee rigorous testing and may even pave the way for roles like AI safety officers and ethicists, contributing to the emerging field of AI ethics and governance.
**Additional Job Opportunities in the AI Era**
While these three domains offer substantial job growth, the report acknowledges other sectors with potential. AI and machine learning specialists are projected to expand significantly, with an anticipated 39% growth rate in the next five years. Additionally, professions emphasizing personal interactions, such as healthcare, are expected to thrive and remain less affected by AI. Manual work, not reliant on language-based tasks, is also expected to remain resilient.
**Conclusion: Preparing the Workforce for AI Transformation**
The adoption of generative AI, particularly LLMs, is poised to reshape industries, introducing new roles and transforming existing ones. Proactive workforce preparation by businesses and governments is essential to ensure that society reaps the benefits of generative AI’s potential. The World Economic Forum underscores the importance of the Presidio Recommendations on Responsible Generative AI, which comprises 30 recommendations for the responsible development of AI, emphasizing open innovation, collaboration, and societal progress priorities.