Skill Demand Index
AI/ML — Demand & Depth Analysis
Based on 2 scored job postings out of 4,988 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L3
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Proficient
Most employers want AI/ML at hands-on daily use, not textbook knowledge.
Overview
What is AI/ML?
Market context for AI/ML in the current job market
AI/ML is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for AI/ML typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for AI/ML:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L3 depth — hands-on proficiency, not surface awareness
- •Most demand comes from Data Analysis roles — 50% of all AI/ML jobs
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with AI/ML without needing supervision or constant guidance.
This means employers aren't looking for someone who has used AI/ML 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/ML proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need AI/ML most:
Data Analysis positions drive 50% of demand. Software Engineering also frequently list AI/ML as a requirement. Skills commonly paired with AI/ML include Data Analysis and Manufacturing/Automotive/Supply Chain.
Depth Level Distribution
Proficiency Distribution
How candidates match AI/ML requirements across 2 scored evaluations
Average depth: L3.0·Median depth: L3.0
Salary Correlation
Pay Impact
How AI/ML affects compensation based on postings with disclosed salary data
Without AI/ML
$140K
Median $131K
1358 jobs
Skill Demand Insight
“AI/ML appears in 0% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside AI/ML
Role Breakdown
Top Role Categories
Job categories most likely to require AI/ML
Gap Analysis
Gap Rate Explained
How often AI/ML is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When AI/ML appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is AI/ML in demand in 2026?
Yes. AI/ML appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
What level of AI/ML do most jobs require?
The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.
Does knowing AI/ML increase salary?
Salary data for AI/ML is still accumulating.
What other skills pair with AI/ML?
The most common pairings are Data Analysis, Manufacturing/Automotive/Supply Chain, Business Analysis, Program Management, SAP. Strengthening these alongside AI/ML improves your fit across more positions.
What roles need AI/ML the most?
Top roles: Data Analysis, Software Engineering. Data Analysis positions have the highest demand at 50% of all AI/ML jobs.
How do I improve my AI/ML level?
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/ML job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my AI/ML gaps →See how your depth compares to what employers actually require
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