  Artificial Intelligence (AI) will change human work by taking over specific
job tasks, but there is a debate which tasks are susceptible to automation, and
whether AI will augment or replace workers and affect wages. By combining data
on job tasks with a measure of AI susceptibility, we show that more highly
skilled workers are more susceptible to AI automation, and that analytical
non-routine tasks are at risk to be impacted by AI. Moreover, we observe that
wage growth premiums for the lowest and the highest required skill level appear
unrelated to AI susceptibility and that workers in occupations with many
routine tasks saw higher wage growth if their work was more strongly
susceptible to AI. Our findings imply that AI has the potential to affect human
workers differently than canonical economic theories about the impact of
technology on work these theories predict.
