The impact on each task is dependent on the unique combination of the type of technology, the country of the employee and the industry of the organisation.
Our technology taxonomy outlines emerging technologies that will either directly impact or indirectly impact the future of work. We’ve developed technology adoption S-curves that calculate the average industry adoption of a technology over time, which provides a benchmark to identify the workforce impact of technology. A Neural Network trained on occupation features and task descriptions (using natural language processing) is applied to predict the automation or augmentation of each task.