Where will the Impact be

Amongst the papers from Davos there was one called ‘Jobs of Tomorrow, Large Language Models and Jobs’. Reflecting the overall general expected impact the paper did (in the appendices) break out the impact by industry, and by job functional area. Impact has been defined into 4 areas.

• Non Language Tasks - (no language, maths, coding)

• Low Potential for AI Impact

• Potential for Augmentation

• Potential for Automation

There is also a very interesting section on ‘Emerging Jobs’.

AI Model and Prompt Engineers: These professionals will be at the forefront of developing and refining large language models (LLMs). Their roles will encompass a variety of skill sets, from programming and designing custom chips to managing server infrastructure and ensuring stable energy sources. A key aspect of their job will be to evolve prompts for LLMs to enhance their effectiveness.

Interface and Interaction Designers: Tasked with making LLMs accessible to the general public, these designers will focus on creating user-friendly interfaces. Their work will involve adapting LLMs to various inputs and tasks, including the development of AI assistants and coaches. They'll also play a role in reinforcement learning with human feedback, training models on preferred responses.

AI Content Creators: Utilising the capabilities of LLMs, these creators will produce diverse content ranging from articles and books to training materials and storylines for movies and TV series. Their role is to leverage the knowledge and understanding of LLMs for rapid, in-depth content creation across various fields.

Data Curators and Trainers: With the quality of an LLM's output dependent on its training data, these professionals will focus on curating and maintaining high-quality data sets. They will perform quality checks and ensure the integrity of the data used for training LLMs.

Ethics and Governance Specialists: Addressing the ethical implications of LLMs, these specialists will be responsible for ensuring that training data is free of bias and that LLM systems are ethically sound before public release. Their role includes testing LLMs, overseeing AI safety, and collaborating with regulators and lawyers for compliance.

There are a couple of interesting thoughts here, ‘AI content creator’, is this a new role or just an evolution of existing marketing and author roles? I also think that prompt engineer will also have an automation aspect to it.

Events

We have an exciting series of events and training running in conjunction with Macildowie Recruitment and Retention, aimed specifically for business leaders.

“If you don’t know about it… how can you lead it?”

Event Dates:

Feb 8th and 7th March are now available for you to book. Join us face to face to get started in AI in your enterprise.