Could AI execute meaningful parts of the task?
Digital feasibility, repeatability, information intensity, rule structure, human-context dependency, and physical-world dependency shape this axis.
MYTOPMATCH CAREER TOOLS · DISCOVER YOUR OPTIONS
AI may change your work.
Map the tasks behind your role and see two different signals: where current AI may automate work, and where it may increase your speed, breadth, or decision support while human responsibility remains.Free core results · Task-level method · No unemployment predictionFREE TASK-LEVEL CALCULATOR
Where could AI automate—and where could it amplify?
Map at least five material tasks, allocate work time, and assess automation factors separately from augmentation potential and human responsibility.- Two independent axes—not one sensational risk score
- Occupation context without unsupported title-based inference
- Private anonymous progress saved for seven days
WHAT IS AI JOB EXPOSURE?
Exposure describes task interaction—not your employment fate.
AI job exposure describes how the tasks inside work may interact with current AI capabilities. Some tasks may be technically amenable to automation. Others may become faster, broader, or better supported while a person continues to make decisions, verify outputs, build trust, act in the physical world, or remain accountable.
That is why MyTopMatch does not collapse everything into a single “replacement risk.” It reports AI Automation Exposure and AI Leverage Potential separately, then displays human-responsibility safeguards alongside them.
The International Labour Organization also uses task-level exposure framing in its current global research. MyTopMatch links to that research for context but does not reproduce the ILO index or apply its occupational dataset in this calculation.
AUTOMATION VS. AUGMENTATION
One task can be high on both.
Could AI help a responsible human do the task better?
Assistability, potential time leverage, verification feasibility, and workflow readiness shape this separate axis.
What must remain visible and governed?
Judgment, relationships, accountability, physical context, regulation, and originality inform safeguards—not immunity claims.
HOW THE AI CAREER EXPOSURE CALCULATOR WORKS
Task factors × confirmed work time.
Method AICX-3.0.0 · Updated 2026-08-22Inventory the work
Describe at least five material tasks covering at least 70% of a typical work period.
Rate task characteristics
Each task receives six automation-factor ratings and four augmentation-factor ratings.
Weight by time
Task scores are multiplied by work-time share. Non-100% totals normalize only after explicit confirmation.
Keep axes separate
Automation and leverage receive separate scores, bands, task contributors, safeguards, and recommendations.
Both axis bands
- 0–24
- Lower
- 25–49
- Moderate
- 50–74
- Higher
- 75–100
- Very high
Two-axis patterns
- ↙
- Lower-change
- ↘
- Augmentation-led
- ↖
- Automation-weighted / verification-critical
- ↗
- Transformation-intensive
FICTIONAL WORKED EXAMPLE
High leverage does not erase exposure.
Suppose a communications leader reports research synthesis, first-draft production, executive advising, stakeholder negotiation, and live facilitation. Research and drafting may score high on both axes. Negotiation and facilitation may score lower on direct automation but still gain preparation and documentation leverage.BUILD AI CAREER RESILIENCE
Redesign work before making career predictions.
Separate tasks from titles
Track what actually fills your week so exposure is not inferred from a broad occupational label.
Learn bounded workflows
Start with reversible, low-consequence uses where inputs, outputs, and acceptance criteria are clear.
Build verification skill
Strengthen source checking, exception handling, error detection, and judgment about when not to use AI.
Own implementation
Connect AI-assisted production to stakeholder context, decisions, adoption, and measurable outcomes.
Protect accountable work
Use review gates, audit trails, privacy controls, and named responsibility where consequences are significant.
Translate the evidence
Document the workflow, human contribution, safeguard, and outcome so AI-enabled capability is credible rather than generic.
DATA AND FUTURE OCCUPATION SUPPORT
Prepared for evidence-rich pages—not thin page generation.
The result schema records the user-entered occupation label, mapping status, method version, task coverage, and any future dataset versions. That makes a later occupational adapter possible without changing historical results.
Occupation-specific editorial pages should launch only when MyTopMatch has a documented taxonomy mapping, dated task source, substantive expert-reviewed explanation, and enough unique evidence to answer a real search intent. This release creates no mass occupation pages.
PRIVATE TASK DATA
Your work inventory is not an SEO page.
Only this explanatory content is crawlable. Task descriptions, time shares, ratings, scores, saved analysis, Passport proposals, and Career Agent comparisons remain private and are included in MyTopMatch export and deletion controls.FREQUENTLY ASKED QUESTIONS
Use the result without sensationalism.
Does AI exposure mean my job will disappear?
No. Exposure describes how task characteristics may interact with current AI capabilities. It is not a probability of unemployment, displacement, wage change, employer action, or occupational disappearance.
Why are there two scores?
Automation Exposure concerns technical amenability to AI-mediated execution. AI Leverage Potential concerns useful assistance while a human retains verification and responsibility. A task can be high on both axes.
Why does the calculator ask about tasks instead of only my title?
People with the same title can spend their time very differently. Task-time weighting makes the calculation reflect the work you describe rather than an unsupported assumption about everyone in an occupation.
What happens if my task shares do not total 100%?
The calculator requires at least 70% task coverage. If shares do not total exactly 100%, it proportionally normalizes them only after you explicitly confirm that choice.
Does the calculator use occupational data?
Not in this release. Role and occupation labels are user-entered context and are not mapped to an external taxonomy. The result clearly records that no external dataset was used.
What are human-responsibility safeguards?
Judgment, relationships, accountability, physical context, regulation, and originality shape how AI-supported work should be designed and verified. They are not treated as proof that work is immune from change.
How current is this methodology?
The current method is AICX-3.0.0, dated 2026-08-22. Because AI capabilities change rapidly, material capability changes require a new method version rather than a silent reinterpretation of old results.
Can employers or search engines see my task inventory?
No. The explanatory page and methodology are public. Task names, ratings, scores, saved analysis, and Career Agent comparisons are private and access-controlled.
METHOD, SOURCE & CITATION NOTES
How to interpret this tool responsibly.
- Measures
- Two separate task-characteristic estimates: automation exposure and AI leverage potential.
- Result means
- A directional task profile showing where current work may be more susceptible to automation and where AI may amplify human contribution.
- Does not mean
- Exposure is not unemployment probability, a timetable for replacement, or a prediction about one employer.
- Evidence in this release
- User-described task characteristics and transparent deterministic rules; no unemployment or displacement model.