AI Job Creation Outpaces Losses, Snowflake-Omdia Study Finds
Event summary
- 77% of organizations report net job creation from AI adoption, per Snowflake-Omdia survey of 2,050 business leaders
- Technical roles (IT ops, cybersecurity, software development) see strongest net gains
- Data readiness and governance cited as top bottlenecks for scaling AI (65% struggle with data silos)
- 48% of enterprise code now AI-generated, with 82% reporting improved testing/bug detection
- AI adoption most advanced in IT operations (62%), data analytics (59%), and cybersecurity (53%)
The big picture
The findings challenge narratives of AI-driven job destruction, showing instead that mature deployments create net workforce gains. This aligns with broader enterprise AI trends where technical functions lead adoption, while governance and data infrastructure remain critical scaling constraints. The 48% AI-generated code figure highlights how deeply the technology is already embedded in core workflows.
What we're watching
- Data Readiness
- Whether enterprises can overcome unstructured data challenges to scale AI
- Workforce Restructuring
- How AI-driven productivity gains will reshape technical teams beyond simple job cuts
- AI Governance
- The pace at which organizations implement monitoring frameworks for rogue AI tools
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