Right. Part of what&#x27;s missed is that we don&#x27;t need great GAI to get rid of lots of jobs; weak &quot;AI&quot; &#x2F; deep learning &#x2F; related automation techniques get us a long way there. We have existing examples in law document review, article topic summarization, etc.<p>Another thing which is often missed is how complementarity may play out for certain jobs: it&#x27;s NOT going to necessarily be &quot;program &#x2F; robot replaces every job X&quot;, but instead &quot;program &#x2F; robot allows one person to do the job previously done by 50.&quot; You can still have massive unemployment without getting rid of every worker doing a certain job (and their job may change more to be a machine guide &#x2F; manager &#x2F; error corrector.)<p>An example I see all the time now is in supermarkets. You have self-checkout lanes that are overseen by one person. It used to be 5 lanes staffed by people. Now you only need one to intervene when something goes wrong. 5 workers have become 1 without eliminating the job &quot;register person&quot; completely. Instead, they&#x27;ve changed into &quot;auto register checkout manager&quot; while everyone else got the ax.