Positive Potential: The jobs AI will create 

By September 20, 2024For Talent

Even if you feel as though you’re proficient in ChatGPT and have already started incorporating AI-generated productivity tools into your day-to-day tasks, we’ve only started to scratch the surface of what generative AI can do. 

While much of the debate around generative AI has centred on the jobs it could replace, there’s a more optimistic perspective to consider—AI’s capacity to create entirely new job roles. 

It’s true that certain jobs, particularly those grounded in automation, such as factory work or machinery operation, may be at risk, however generative AI also has the potential to trigger an infinite number of new professions and job titles. The most exciting part? Some of these roles don’t even exist yet. 

But with change, comes fear and as history has shown, resistance to technological advancements is natural. Concerns about machines replacing human workers have been around since the 1950s when electronic data processing (EDP) first raised alarms.

But just like computers did not replace workers, generative AI won’t replace humans. Instead, it has the capabilities to make us more efficient and innovative, just like the first PCs did when they replaced typewriters. 

So, with this in mind, we’re looking at some of the AI-driven job titles you’re likely to see by 2050. 

1. AI Trainer

The demand for AI trainers is set to rise as generative AI expands into various sectors. By 2050, AI trainers will likely be responsible for ensuring that models work seamlessly across industries, from healthcare to HR. 

AI trainers develop and optimise the data that informs large language models (LLMs). These professionals, often with a background in data science or machine learning, play a key role in teaching AI models how to process information.

2. AI Auditor

Alongside AI trainers, there will be a need for AI auditors to ensure that AI systems, particularly LLMs, comply with legal, ethical, and safety standards. 

AI auditors will be responsible for monitoring data handling and ensuring that AI algorithms are accurate and free from bias. 

With scrutiny on data privacy and algorithmic fairness mounting, those with expertise in cybersecurity, data privacy laws, and natural language processing (NLP) will be well-suited for this role.

3. AI Programme Director

AI tools and technologies are only just beginning to show their potential. As businesses continue to integrate AI into their operations, AI programme directors will be needed to guide the strategic adoption of AI tools, just like a CTO currently implements a company’s technical strategy. 

These professionals will identify which AI technologies can boost productivity and solve key business challenges. They will also play a role in fostering a culture that embraces AI, ensuring employees are sufficiently trained to maximise the potential of these new tools. 

4. AI Compliance Manager

AI compliance managers will be tasked with ensuring AI systems adhere to national and international regulations, such as the EU AI Act and keep up to date with rapidly changing legislation—there are currently 120 AI bills up for review in the U.S. Congress. 

Beyond legal compliance, these managers will also ensure that the AI technologies being used are ethical and won’t jeopardise the reputation of their organisation in any way. 

5. AI Application Developer

For software developers and engineers who want to ensure they won’t be replaced by AI, a career as an AI application developer is the logical next step. 

Writing code in languages such as Python, Java, and C++, AI application developers will create the frameworks and infrastructure needed to deploy AI systems, as well as training and testing AI models using data.

6. Prompt Engineer

Prompt engineers underpin the evolution and efficacy of conversational search powered by generative AI. It should come as no surprise then that prompt engineers are already some of the best-paid tech workers around, commanding salaries in excess of $300,000 per year. 

In order to work as a prompt engineer, you’ll need to be able to write and refine the prompts that guide LLMs, so that they can effectively respond to queries, summarise large chunks of text, and critique input data.

7. AI Art Director

Whatever your personal feelings are on the matter, the creative industries are being influenced by AI regardless. As a result, by 2050, art directors will be able to incorporate sophisticated AI tools into their design work to turbo-charge their traditional creative skills and add even more value, whether they work in advertising, publishing or web design. 

Want to find out more about how AI is shaping the future of work? Check out our cheat sheets on how to level up on AI to get ahead at work and also sound like the smartest person in the room when it comes to AI.