Skill Demand Index
AI Technologies — Demand & Depth Analysis
Based on 3 scored job postings out of 4,031 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
33.3%
Gap Rate
3
Jobs Analyzed
Minimal
Most employers want AI Technologies at introductory awareness.
Overview
What is AI Technologies?
Market context for AI Technologies in the current job market
AI Technologies 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 Technologies typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for AI Technologies:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Software Engineering roles — 33% of all AI Technologies jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with AI Technologies — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used AI Technologies 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 33.3% means a notable portion of candidates fall short on AI Technologies. Addressing this gap directly in your application materials gives you an edge.
Which roles need AI Technologies most:
Software Engineering positions drive 33% of demand. Marketing and Data Science / ML also frequently list AI Technologies as a requirement. Skills commonly paired with AI Technologies include Digital Transformation and Digital Strategy.
Depth Level Distribution
Proficiency Distribution
How candidates match AI Technologies requirements across 3 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How AI Technologies affects compensation based on postings with disclosed salary data
Without AI Technologies
$140K
Median $131K
1091 jobs
Skill Demand Insight
“AI Technologies appears in 0.1% of all scored jobs.”
From 3 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside AI Technologies
Role Breakdown
Top Role Categories
Job categories most likely to require AI Technologies
Gap Analysis
Gap Rate Explained
How often AI Technologies is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When AI Technologies appears in a job's requirements, 33.3% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is AI Technologies in demand in 2026?
Yes. AI Technologies appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 3 analyzed jobs, demand is steady across multiple role types.
What level of AI Technologies do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing AI Technologies increase salary?
Salary data for AI Technologies is still accumulating.
What other skills pair with AI Technologies?
The most common pairings are Digital Transformation, Digital Strategy, Web Analytics, Project Management, Team Leadership. Strengthening these alongside AI Technologies improves your fit across more positions.
What roles need AI Technologies the most?
Top roles: Software Engineering, Marketing, Data Science / ML. Software Engineering positions have the highest demand at 33% of all AI Technologies jobs.
How do I improve my AI Technologies 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 Technologies job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my AI Technologies gaps →See how your depth compares to what employers actually require
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