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Future of work

How generative AI is reshaping careersfrom transformation to brand-new roles

These notes combine public datasets with qualitative interviews from our early partner network. They’re directional and evolving—use them as a conversation starter, not a final answer.

120

Roles reviewed

Sample from our beta research

42

AI-native titles

Net-new positions identified

6-12 mo

Reskill timeline

Range from member interviews

Roles transformed

68

Legacy positions we’ve mapped to updated responsibilities

Augmented careers

52

Professionals now working alongside AI tools

Roles under review

39

Positions likely to change dramatically and need reskilling

AI-native jobs

42

Net-new titles that didn’t exist two years ago

Industry-by-industry breakdown

Compare penetration, risk, and newly created AI roles based on our interviews and public research. Toggle industries to explore transformation timelines.

Early research snapshot

Healthcare

Clinical documentation, diagnostics support, and operational tooling

GenAI penetration

32%

Adoption

Roles at risk

4,200

Reskill

New AI jobs

780

Created

Medical TranscriptionistAI Documentation Specialist

Being redesigned

Timeline: 2024-2025
TRANSFORMED

RadiologistAI Diagnostic Partner

Enhanced with AI workflows

Timeline: 2025-2030
AUGMENTED

Healthcare Data AnalystClinical AI Systems Manager

Net-new opportunity

Timeline: 2024-2026
CREATED

Partner with us on practical next steps

We’re helping a small group of teams map which roles to reskill, which to redesign, and which to hire for from scratch. Share your priority and we’ll see if our early frameworks can help.

Reskill pilots
Learning templates
Role design workshops
AI Job Impact Research | GenAI.jobs | GenAI Jobs