Session
The AI Labour Market: What the Data Says Is Actually Changing
What shifts in hiring, skills and work content mean for your next workforce decision
PAWorld26 NYC · 4–5 November 2026 · New York City
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– · Plenary
About this session
Ben Zweig examines how AI relates to hiring demand, changes inside existing jobs and the difference between exposure and adoption. He considers why company growth, recruitment patterns and task changes can tell different stories and identifies the assumptions leaders should test before revising hiring targets or capability priorities.
Learning outcomes
- Explain why different labour-market signals can tell different stories.
- Avoid treating exposure as proof of adoption or workforce impact.
- Identify an external signal to test against internal workforce evidence.
This session will explore
- Compare signals about hiring demand, company growth and task changes.
- Distinguish AI exposure from observed adoption.
- Identify assumptions to test before changing hiring targets or capability priorities.
Context
Hiring patterns, company growth and changes within jobs can point in different directions. Interpreting AI-related labour-market evidence requires attention to what each measure actually captures and what it leaves unresolved.
Speakers and contributors
Ben ZweigPresenterCEORevelio Labs