Most economic research on AI and jobs points less toward whole occupations disappearing and more toward tasks within a job shifting. A financial analyst still analyzes, but AI drafts the first version of the report. A customer support rep still resolves hard cases, but AI handles the routine password-reset questions that used to fill their day.
That shift raises the value of the parts of work that are harder to automate: judgment in ambiguous situations, building trust with a client, and creative problem-solving that draws on context an AI model doesn't have. It also raises the bar for what "entry level" looks like, since some of the repetitive practice tasks juniors traditionally learned on are exactly what AI now handles.
The practical advice showing up consistently from career experts is to get comfortable directing and checking AI output, rather than either ignoring the tools or blindly trusting them — treating AI as a fast, occasionally wrong collaborator rather than a threat or an oracle.