Skill Demand Index
Based on 1 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L3
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Proficient
Most employers want AI proficiency at hands-on daily use, not textbook knowledge.
Overview
Market context for AI proficiency in the current job market
AI proficiency is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for AI proficiency typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for AI proficiency:
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with AI proficiency without needing supervision or constant guidance.
This means employers aren't looking for someone who has used AI proficiency once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 0% means most candidates have adequate AI proficiency proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need AI proficiency most:
Data Analysis positions drive 100% of demand. Skills commonly paired with AI proficiency include Statistics, Data Science, Economics, Mathematics, Computer Science Degree and Data Visualization.
Depth Level Distribution
How candidates match AI proficiency requirements across 1 scored evaluations
Average depth: L3.0·Median depth: L3.0
Salary Correlation
How AI proficiency affects compensation based on postings with disclosed salary data
Without AI proficiency
$137K
Median $130K
454 jobs
Skill Demand Insight
“AI proficiency appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Other skills that frequently appear alongside AI proficiency
Role Breakdown
Job categories most likely to require AI proficiency
Gap Analysis
How often AI proficiency is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When AI proficiency appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. AI proficiency appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.
Salary data for AI proficiency is still accumulating.
The most common pairings are Statistics, Data Science, Economics, Mathematics, Computer Science Degree, Data Visualization, SQL, Marketing Metrics, CRM Analytics. Strengthening these alongside AI proficiency improves your fit across more positions.
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all AI proficiency jobs.
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against AI proficiency job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my AI proficiency gaps →See how your depth compares to what employers actually require
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