AI-Proof Your Career
Example report. Illustrative data for a sample Market Research Analyst — your real report is built from your own Self-Audit and live U.S. Department of Labor data. Run the free audit →

AI-Proof Your Career

Your AI-Proof Career Report

Prepared for a Market Research Analyst · EXAMPLE

1 · Your role

Market Research Analyst

O*NET-SOC code: 13-1161.00

2 · Your AI-exposure picture

Your picture: Synthesis-dominant

Synthesis / Drafting 58%
Judgment / Accountability 27%
Physical / Manual 0%
Mixed 15%

Most of this role's time-weighted work is synthesis/drafting — the task category today's AI assists with most, and where an adaptation plan has the most leverage.

3 · Your skill focus

Redirect the exposed tasks; build the durable layer underneath.

  • Move drafting/summarizing to AI-assisted workflows where you keep ownership and verify every output.
  • Build the verification skill — enough data literacy to catch AI being confidently wrong.
  • Learn to direct AI toward a goal rather than doing the raw task yourself.

4 · Your AI toolkit

The AI tools that fit the tasks logged in the audit, ranked by time. Try each free tier first.

Research & finding information

Your tasks: Conduct research on consumer opinions; gather competitor data

Perplexity · NotebookLM · ChatGPT (web)

Data analysis & spreadsheets

Your tasks: Analyze customer data; forecast sales trends

ChatGPT Advanced Data Analysis · Julius · Copilot in Excel

Drafting, writing & reporting

Your tasks: Prepare reports of findings

ChatGPT · Claude · Gemini

5 · Market reality O*NET · U.S. Dept. of Labor

★ Bright Outlook — example: projected to grow faster than average.

Real related occupations — genuine adjacent options, per O*NET:

(Figures above are illustrative for this sample; your report pulls live values for your occupation.)

6 · Your structured recommendation

Worth examining a move — lowest-cost option first

Synthesis-dominant is the one result that can point toward a move. Cheapest-first: confirm it's the field, not your employer; then an adjacent pivot that keeps your domain expertise and adds AI/data literacy, starting from the O*NET-named options above. A full pivot is the last resort.

How to read this: a structured recommendation from real data plus your inputs — not a prediction. The decision stays yours.

This is what you get, built from your real job.