When a major new technology hits the headlines, the conversation quickly turns to work. The same goes for generative AI. How will generative AI impact jobs? What is the potential scale of job losses? I have written extensively on this topic, but in this article I would like to highlight: is the possibility it creates. completely new work.
Generative AI will not replace human workers, but will create a new need for skilled workers, professionals who have the ability to manage and get the most out of generative AI. What will those jobs look like? Below is a list of new roles related to generative AI.
AI prompt engineer
Prompt engineers are experts in providing specific output in generative AI applications like ChatGPT. (For example, common prompts elicit common responses, so prompt engineers adjust prompts until they achieve the desired results.) Therefore, rather than being programming experts, prompt engineers are communication skills, attention to detail, critical thinking and data skills (in terms of figuring out the information the AI needs).
Generative Design Specialist
A bit like a prompt engineer, but with a focus on design output, this role will become increasingly popular in fields such as architecture, product design, and engineering. In short, generative AI allows him to create nearly infinite design variations, so he needs an expert to guide the AI and interpret its output to achieve the optimal design.
AI input/output manager
Think of this role as the next level of Prompt Engineer. This is a more strategic role that oversees the information that is uploaded to the generative AI system and the output that the AI system provides. This will become increasingly important as companies grapple with considerations around data privacy, copyright, AI explainability, and AI bias.
AI Content Reviewer/Content Auditor
All forms of content, including articles, visual designs, and analytical reports, require human reviewers to assess the quality, accuracy, and appropriateness of the content. So while there is no doubt that generative AI will be used to create more content, humans will still be needed to ensure that content is fit for purpose.
They are experts who specialize in “teaching” and improving AI models. Their tasks range from feeding AI data to fine-tuning the output to ensure accuracy and relevance.
AI maintenance engineer
Like any other system, AI models require maintenance, including updating the model, ensuring the system runs efficiently, and troubleshooting issues. Generative AI is no exception.
AI security specialist
AI has made the cybersecurity landscape much more complex, and the technology is enabling more sophisticated phishing attacks, malware, and more. Therefore, organizations need experts who can protect their systems from the malicious use of AI and potentially leverage AI to mitigate threats.
AI instructor/AI literacy educator
Just as computer literacy became a fundamental skill in the late 20th and early 21st centuries, AI literacy will continue to be important. Instructors are emerging who can teach individuals how AI works, its benefits, and its challenges.
AI Ethicist/AI Ethics Officer
Given the powerful capabilities of GenAI, there is a clear need for experts who can ensure that these systems are developed and used in an ethical, unbiased, and socially responsible manner. Therefore, part of an AI ethicist's mission will be to develop and implement guidelines governing the ethical and safe use of an organization's AI systems.
AI Compliance Manager/AI Compliance Officer
If the role of the ethicist is to shape the ethical use of AI, the role of the compliance manager is to ensure that these guidelines are properly followed. Additionally, as regulation and oversight around AI increases, organizations will need dedicated compliance professionals to ensure their businesses are operating within the legal framework.
AI personality designer
As more and more generative AI tools emerge, it stands to reason that these tools will need their own “personality” to differentiate themselves from the competition. As such, new roles may emerge dedicated to creating attractive and likable personalities for generative AI entities. This makes interactions with generative AI tools feel more human-like.
Custom AI Solution Developer
While many AI applications may be broad-based, there is a growing market for niche and custom AI solutions tailored to specific industry needs and challenges. In fact, this is already happening, with many organizations partnering with AI companies to create their own bespoke internal models built on publicly available models.
As generative AI continues to evolve, new roles will emerge that revolve around teaching, refining, and interpreting AI, as well as integrating AI capabilities into different fields. This is not to discount the fact that many jobs will be changed or rendered obsolete by generative AI. But we don't just focus on generative AI as a job destroyer; job creator.