Will AI Replace Jobs or Redesign Them? A 2035 Perspective
A task-level analysis of AI and employment: automation versus augmentation, productivity, new occupations, skills, and three scenarios for work in 2035.
11 February 2026 · 14 min read
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Most work is a bundle of tasks, not a single indivisible job. That distinction explains why technology has historically changed occupations far more often than it has erased them, and why current evidence on AI and employment is best read at the task level.
This section examines automation and augmentation together: which tasks are exposed, where productivity gains actually appear, how new occupations form, what happens to entry-level pathways, and how skills and education systems adapt when the half-life of a technical skill shortens.
It also takes the difficult cases seriously — sectors where displacement is real, workers with narrow task portfolios, and the distributional question of who captures the gains.
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A task-level analysis of AI and employment: automation versus augmentation, productivity, new occupations, skills, and three scenarios for work in 2035.
11 February 2026 · 14 min read
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