Skill Demand Index
AI/ML — Demand & Depth Analysis
Based on 5 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L3
Median Depth
40%
Gap Rate
5
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 0.1% 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 0.1% 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 Software Engineering roles — 20% 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 40% means a notable portion of candidates fall short on AI/ML. Addressing this gap directly in your application materials gives you an edge.
Which roles need AI/ML most:
Software Engineering positions drive 20% of demand. Data Analysis and Data Science / ML also frequently list AI/ML as a requirement. Skills commonly paired with AI/ML include Python and AWS.
Depth Level Distribution
Proficiency Distribution
How candidates match AI/ML requirements across 5 scored evaluations
Average depth: L2.2·Median depth: L3.0
Salary Correlation
Pay Impact
How AI/ML affects compensation based on postings with disclosed salary data
Without AI/ML
$139K
Median $130K
977 jobs
Skill Demand Insight
“AI/ML appears in 0.1% of all scored jobs.”
From 5 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
Moderate gap rate — many candidates lack this skill
When AI/ML appears in a job's requirements, 40% 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 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 5 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 Python, AWS, Data Engineering, Spark / PySpark, Kafka. Strengthening these alongside AI/ML improves your fit across more positions.
What roles need AI/ML the most?
Top roles: Software Engineering, Data Analysis, Data Science / ML, Other. Software Engineering positions have the highest demand at 20% 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
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Analyze my AI/ML gaps →See how your depth compares to what employers actually require
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