What can AI actually do in your role?

AI isn't replacing job titles — it's absorbing specific tasks. See how a role's work splits across what AI can automate end-to-end, what it augments alongside a human, and what stays human-led. Pick a function and level to start.

Task breakdownAI touches 62% of this role's tasks today
25%
37%
38%
AI-automated
25%
Tasks AI can complete end-to-end with light oversight.
AI-augmented
37%
Tasks where AI accelerates a human who stays in the loop.
Human-led
38%
Judgment, relationships, and accountability AI can't own.

For a Software Engineering (IC · Mid), only 25% of tasks are candidates for end-to-end automation. The decisive 75% depends on someone who can steer AI well and own the judgment — the capability Invyte verifies, and the one that gets harder to fake every quarter.

Model anchored to the Anthropic Economic Index (AI use skews ~57% augmentation / 43% automation; ~49% of jobs now have 25%+ of tasks AI-touched) and Mercor's APEX benchmark of frontier models on economically valuable professional tasks. Figures are directional estimates for illustration, not a forecast for any individual.

The task that survives is judgment

Across every role, the human-led slice is where careers now compound — and it's exactly what a résumé can't prove. Invyte verifies it.

AI fluency

Use AI to go further

The augmented slice rewards people who steer AI well. Invyte's AI Fluency assessment scores exactly that.

Judgment

Govern what AI produces

The human-led slice is decision-making under ambiguity. Enterprise AI Simulations measure it directly.

Evidence

Prove it, don't claim it

An AI Persona captures both — verified by challenge, not self-reported.

Hire for the part of the role that lasts

The tasks AI absorbs will keep growing. Build teams verified for the judgment and AI fluency that don't.