Do you need AI?
Is your role being automated — or augmented?
The same AI tools are replacing work in some occupations and amplifying it in others. Pick your role to see where it sits, what US payroll evidence shows for early-career employment, and the practical next step.
Grounded in: Brynjolfsson, Chandar & Chen (Stanford, 2025) · Anthropic Economic Index · ADP payroll data, 2021–2025.
See where your role sits on the automation–augmentation spectrum
Pick a role above — we'll show the usage split, the overall AI exposure level, the early-career payroll signal, and the practical next step.
Why this matters — the headline evidence
US payroll trends, 2021–2025 (Stanford / ADP).
Relative employment decline for 22–25 year-olds in the most AI-exposed occupations, after controlling for firm-level shocks.
Employment change for software developers aged 22–25 since the late-2022 peak.
Employment growth over the same period for experienced workers in those same exposed occupations.
Early-career employment in occupations where AI use is most augmentative rather than automative.
Method & sources
Role classifications are an illustrative mapping of standard occupation groups to two published research sources: occupational AI-exposure quintiles (Eloundou et al., 2024, Science) and automation/augmentation usage shares from the Anthropic Economic Index (Handa et al., 2025), as applied in “Canaries in the Coal Mine?” — Brynjolfsson, Chandar & Chen, Stanford Digital Economy Lab (2025) , which analyses ADP payroll records covering millions of US workers from 2021–2025.
Percentages are indicative bands, not precise per-role measurements. Employment signals describe US payroll trends and may not transfer directly to other markets. The researchers caution that factors other than generative AI may partly influence these patterns. This tool is for orientation, not career or financial advice.