AI's real impact: rethinking whole workflows, not tasks

New MIT Sloan research argues AI's biggest impact comes from re-sequencing entire workflows, not automating single tasks. It's fresh academic framing — a lens to try, not a proven playbook yet.

New MIT Sloan research argues AI's biggest impact on work isn't automating one task at a time — it's how entire workflows get re-sequenced, grouped, and handed off between people and machines. For designers, that's a methods shift: instead of asking 'can AI do this one step,' map your actual process (research → synthesis → wireframe → test) and ask where a handoff could genuinely change, not just speed up. Labelled hype because it's recent academic framing, not a validated method yet — treat it as a lens for reflection, not a checklist to follow blindly.

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