There’s no shortage of reporting on how AI is expected to disrupt millions of jobs — jobs in the areas of coding, customer support and translation are thought to be particularly vulnerable — but there are many new jobs that AI is creating.
Most tech leaders when asked about AI disrupting jobs seem to have a common refrain — while AI will many many jobs redundant, AI will also create new jobs. But they don’t seem to elaborate on what exactly these new jobs will be. But we’ve come up with a list of the new jobs AI will create. This list can help you look into the crystal ball, plan your career and get an insight into what the world could be like in a few years.
New jobs AI is creating
1. Prompt engineer
This is the most obvious new job that AI will create. Thus far, computers could only understand code, and people had to learn how to code – or speak the language of computers — for several years through degrees in Computer Science to be able to work with them. But LLMs have changed all that — as Andrej Karpathy says, the hottest new programming language is English. Prompt engineers can build workflows and prompts just using simple words. And if this sounds simple, it isn’t — creating perfect prompts is more of an art than a science, needing understanding of how LLMs work, and how to elicit the best results out of the them. Prompt engineers are currently being sought after to write prompts for creating images, videos, and even entire workflows. Prompt engineer is the one of the most prominent new jobs that AI is creating.
2. AI Trainer & RLHF Specialist
AI models are not born perfect; they are trained. AI Trainers are the teachers responsible for this education. They are deeply involved in curating datasets, labeling information, and refining the model’s knowledge base. A crucial subset of this field is the Reinforcement Learning from Human Feedback (RLHF) Specialist. These individuals “grade” the AI’s responses, ranking them for helpfulness, accuracy, and safety. This human feedback loop is critical for aligning AI behavior with human values and expectations, essentially teaching the AI to be more useful and less prone to generating harmful or biased content. This job didn’t exist before AI, and could end up being one of the most popular jobs created by AI.
3. AI Implementation Specialist / AI Solutions Architect
Having a powerful AI model is one thing; successfully integrating it into an organization’s complex existing workflows is another challenge entirely. The AI Implementation Specialist is the bridge between cutting-edge AI technology and practical business application. They analyze a company’s needs and design a strategy for deploying AI tools—for instance, integrating a generative AI chatbot into a customer service platform or using a predictive model to optimize a supply chain. They require a deep understanding of both business processes and the technical capabilities of AI systems.
4. AI Model Auditor
Another significant role among the new jobs AI has created is the AI model auditor. These experts review AI models for bias, accuracy, transparency, and compliance. As regulations tighten around AI, this position is becoming indispensable for companies wanting to mitigate risks.
5. Machine Learning Operations (MLOps) Engineer
An AI model isn’t a “set it and forget it” solution. Its performance can degrade over time as new data emerges, a phenomenon known as “model drift.” MLOps Engineers are the guardians of live AI systems. They build and manage the infrastructure that allows for the seamless deployment, monitoring, and continuous updating of machine learning models. They ensure that the AI tools a company relies on remain accurate, efficient, and robust long after their initial launch. The landscape of new jobs AI has created isn’t just about developing models; it’s about the crucial, ongoing work of maintaining them.
6. Synthetic Data Specialist
AI requires massive amounts of data, but privacy concerns and data scarcity present challenges. Enter the synthetic data specialist — a role focused on creating artificial datasets that train AI systems without compromising sensitive information. Companies like Scale AI have become multibillion-dollar businesses based off creating synthetic data for top AO companies like Google and OpenAI. This is one of the new jobs AI has created in response to both technical and regulatory demands.
7. AI Business Integration Consultant
Companies are investing in AI but often struggle with integration. AI business integration consultants help organizations identify opportunities, implement AI strategies, and manage change. This consulting niche is among the most lucrative new jobs AI has created.
8. Digital Twin Engineer
AI-driven simulations, or “digital twins,” are revolutionizing industries from manufacturing to healthcare. Digital twin engineers design these virtual replicas, making this one of the more technical yet highly specialized new jobs AI has created.
9. AI Workflow Designer
Another exciting addition to the roster of new jobs AI has created is the AI workflow designer. These professionals specialize in integrating AI tools into business processes to enhance productivity. For instance, an AI workflow designer might streamline a company’s supply chain by incorporating predictive analytics or automate customer support with intelligent chatbots. This role requires a deep understanding of both AI capabilities and business operations, making it a critical bridge between technology and practical application.
10. AI Factory Operator
The concept of “AI factories”—data centers dedicated to training and running AI models—has introduced new jobs, such as AI factory operators. These professionals manage the infrastructure that powers AI, ensuring systems run efficiently and securely. With companies like NVIDIA and xAI investing heavily in AI infrastructure, roles in AI factory operations are growing in demand, offering opportunities for those with expertise in data center management and AI systems.
11. AI Agent Supervisor
As AI agents—autonomous systems that perform tasks like scheduling or customer support—become more prevalent, AI agent supervisors has become one of the new jobs AI has created. These professionals monitor and fine-tune AI agents to ensure they operate effectively and align with organizational goals. For instance, an AI agent supervisor might oversee a virtual assistant handling customer inquiries, ensuring it delivers accurate responses and escalates complex issues to human staff. This role combines technical expertise with strategic oversight, making it a cornerstone of AI-driven operations.
12. AI Video Maker
AI is now able to generate realistic videos. This has led to a growing demand for talent in making AI films and advertisements. Directors like PJ Ace have created short films for Kalashi that are fully generated with AI, and have amassed millions of views. AI video makers much know the strengths and weaknesses of AI video generating models, be able to write detailed prompts to generate their clips accurately and cheaply, and then must be able to put them together as a coherent video. An AI video maker is one of the newest jobs that AI is creating.
The Broader Impact on the Workforce
The new jobs AI has created reflect a broader trend: AI isn’t just automating tasks; it’s reshaping how organizations function and compete. These roles require a hybrid of skills — technical acumen, creativity, critical thinking, and ethical judgment. They also highlight the importance of lifelong learning as professionals adapt to an AI-driven world.
Preparing for the Future of Work
For individuals and organizations alike, understanding the new jobs AI has created is key to staying relevant. Upskilling in AI-related fields, from machine learning to AI governance, is no longer optional. Educational institutions and training providers are rapidly adapting their curricula to meet this demand, ensuring that the workforce is prepared for the opportunities ahead.
Conclusion
While the narrative around AI and employment often focuses on job losses, the reality is more nuanced. The new jobs AI has created demonstrate how technology continues to drive innovation not only in products and services but in careers themselves. For businesses, staying competitive means recognizing these opportunities and investing in the talent needed to seize them. For professionals, it means staying agile, curious, and ready to embrace the next wave of AI-driven change.
If you’re looking to future-proof your career or business, paying close attention to the new jobs AI has created is a smart place to start.