Job impact



How do I interpret the Job Impact chart?

The Job Impact chart shows which jobs are at the greatest risk of automation, greatest opportunity for augmentation or both combined.

The chart shows both the number of FTEs whose job tasks will be impacted and the percentage of tasks impacted within each job. The chart can be toggled to highlight either automation (light blue), augmentation (blue) or a combined view. Unimpacted job tasks (grey) are those that are not yet automatable or augmentable given the technology and time selection. Each bar on the chart is ordered from highest to lowest impact (y axis).

How is Job Impact calculated?

Each bar is calculated by multiplying the Job Impact predictions by the total number of FTEs in that job across the organisation. For example, if the job prediction for an Accountant (at year 5) shows that 50% of tasks are automatable and 20% of tasks are augmentable, and there are 100 Accountants in the organisation, then the bar would show 50 FTEs automated; 20 FTEs augmented and 30 FTEs unimpacted at year 5.

What does percent of task time within a job mean?

The Faethm prediction model calculates the impact of technology at the task level. Each job in our database is split into a number of tasks, and time spent on those tasks. Each technology type has an associated predictive impact on work task and time spent on the task. This information is then calculated as both a percentage and absolute FTE value.

How do I apply the insights from this chart?

The chart can be used to identify the jobs at greatest risk from automating technologies, those being re-defined by augmenting technologies and/or investment opportunities to achieve cost and capacity gains.

The Job Impact Chart can be used to inform longer-term strategic workforce planning, for example by identifying ways to mitigate risk, address skills gaps, and support programs to reskill and redeploy workers whose jobs are exposed to being automated or augmented. It can be used to inform how demand forecast for jobs may change due to the impacts of automation, the risks and opportunities that the demand fluctuation can create, and how to enable proactive initiatives to mitigate any risks involved.