Our data is showing some gaps in how organisations are using AI to assist and augment their workforce, for example the way organisations report using AI to assist workers is limited, focusing more on increasing consistency and productivity than on increasing value.
As organisations progress further along this spectrum, the degree to which technology can transform organisational outputs increases. At the first stage, substitution, the new outputs allow for reduced costs and improved efficiency. At the second stage, augmentation, a greater degree of transformation drives greater value and expanded opportunities, as well as reducing costs and improving efficiency.
At the third stage, collaboration, a still greater degree of transformation enables the work and the outputs to take on more meaning for workers and customers— as well as driving greater gains in costs, efficiency, and value. Organisations that choose to integrate humans and AI into superteams can realise much greater value by redesigning work in transformative ways to drive.