Workforce of 2030: AI-augmented enterprises
How AI is reshaping role design, productivity, and compensation.
- 01 AI-augmented roles grew 4.6× in two years across the surveyed enterprises.
- 02 Median productivity uplift on augmented roles: 31%.
- 03 Compensation for augmented specialists is rising; for unaugmented analysts, falling.
- 04 Hybrid org models (centralised AI platform + embedded sector teams) outperform centralised-only.
The augmented role
A new category of role has emerged: the augmented specialist. The role is defined by AI tooling that handles 30–40% of the activity that used to define the job, freeing the human for the higher-judgement work.
Productivity uplift
The median productivity uplift on augmented roles is 31%. The top decile is 80%+. The variance correlates with how integrated the AI tooling is into the workflow rather than with the model used.
Compensation patterns
Compensation for augmented specialists has risen 18% over two years — a premium for the dual fluency in domain and AI. Compensation for unaugmented analyst roles has fallen 6%. The gap is widening.
Org-model patterns
Hybrid org models (a centralised AI platform team + embedded sector teams) outperform pure-centralised models. The centralised team owns the platform; the sector teams own the use cases. The pattern is now best practice.
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