Faethm AI was built to be a platform that uses machine learning to help businesses prepare for the future of work.

We originally launched the company after witnessing so many businesses—and individuals—fall victim to the effects of a lack of planning. Time and time again, we’d see people losing their jobs unnecessarily, quite simply because companies couldn’t prepare for the unknown, be it the unexpected threat of automation to a job role, a business underperforming next to its competitors, or otherwise. We wanted to bring in a tool that could help organizations understand—and prepare for—whatever the future might throw at them.

Now, as a part of Pearson, we continue to help corporate companies, government organizations, and individuals understand the changing demands of the workforce.

There are a lot of components working together to make what we do work, which is why you don’t really see any other product doing the same thing. We have about 30 different machine learning models working at the same time, including large language models applied to create our Pearson occupation framework of jobs, tasks, and skills.

In evaluating the demand for specific skills, for example, we use several AI methods to create our reports. We then use another model to adapt research and apply it to other countries, building out several data curves that account for different landscapes in terms of infrastructure, development, education, etc. It’s an incredibly complex process, but one that produces more accurate results.

We take an extremely scientific approach to our research. A lot of consulting companies predict future demands by hosting workshops with futurists, gathering insights from conversations with experts, or looking at previous reports. These can be helpful, but they rely largely on our assumptions about the future.

By working with AI models and undertaking large-scale data mining processes, we don’t need to make assumptions; we can make accurate predictions based on real data and scientific evidence.

Automation is happening, whether you like it or not.

Business leaders have two options: They can ignore the change that’s happening around them, or they can embrace it and plan for it accordingly. By making the very most of all the information available about the future of work, it’s possible to use it to boost efficiency, improve employee experience, and streamline processes across the whole organization. But this requires business leaders to change their mindset—working with automation rather than rallying against it.