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Skill Demand Index

AI/ML Concepts — Demand & Depth Analysis

Based on 6 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.

0.1%

Demand Rate

L3

Median Depth

17%

Gap Rate

6

Jobs Analyzed

L233% of postings

Basic

Most employers want AI/ML Concepts at basic competency with practical application.

Overview

What is AI/ML Concepts?

Market context for AI/ML Concepts in the current job market

AI/ML Concepts 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 Concepts typically want candidates who can demonstrate real proficiency, not just surface awareness.

What the data shows for AI/ML Concepts:

  • •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
  • •Employers typically expect L3 depth — foundational knowledge with practical application
  • •Most demand comes from Data Science / ML roles — 50% of all AI/ML Concepts jobs

What L3 means in practice:

L2 (Basic) means you’ve built small things with AI/ML Concepts — personal projects or bootcamp work. Employers accept this for junior roles.

This means employers aren't looking for someone who has used AI/ML Concepts 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 17% means most candidates have adequate AI/ML Concepts proficiency. To stand out, aim for L4-L5 depth with concrete evidence.

Which roles need AI/ML Concepts most:

Data Science / ML positions drive 50% of demand. Other and Marketing also frequently list AI/ML Concepts as a requirement. Skills commonly paired with AI/ML Concepts include Bachelor's Degree and Data Analytics Experience.

Depth Level Distribution

Proficiency Distribution

How candidates match AI/ML Concepts requirements across 6 scored evaluations

L0 — Missing
0% (0)
L1 — Minimal
17% (1)
L2 — Basic
33% (2)
DOMINANT
L3 — Proficient
33% (2)
L4 — Advanced
17% (1)
L5 — Expert
0% (0)

Average depth: L2.5·Median depth: L2.5

Salary Correlation

Pay Impact

How AI/ML Concepts affects compensation based on postings with disclosed salary data

Without AI/ML Concepts

$140K

Median $133K

1236 jobs

Skill Demand Insight

“AI/ML Concepts appears in 0.1% of all scored jobs.”

From 6 scored job postings

Skill Pairings

Commonly Paired Skills

Other skills that frequently appear alongside AI/ML Concepts

Role Breakdown

Top Role Categories

Job categories most likely to require AI/ML Concepts

Gap Analysis

Gap Rate Explained

How often AI/ML Concepts is identified as a skill gap (L0–L1) in scored applications

17%

Low gap rate — most candidates are reasonably qualified

When AI/ML Concepts appears in a job's requirements, 17% of scored applicants received an L0 or L1 (missing or minimal).

A high gap rate signals strong hiring leverage for candidates who have it. A low gap rate means the skill is table stakes: not having it is a disqualifier.

Frequently Asked Questions

Is AI/ML Concepts in demand in 2026?

Yes. AI/ML Concepts appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 6 analyzed jobs, demand is steady across multiple role types.

What level of AI/ML Concepts do most jobs require?

The median required depth is L3. Many positions accept basic to intermediate proficiency.

Does knowing AI/ML Concepts increase salary?

Salary data for AI/ML Concepts is still accumulating.

What other skills pair with AI/ML Concepts?

The most common pairings are Bachelor's Degree, Data Analytics Experience, Data Visualization Tools, SQL Proficiency, Python or R. Strengthening these alongside AI/ML Concepts improves your fit across more positions.

What roles need AI/ML Concepts the most?

Top roles: Data Science / ML, Other, Marketing. Data Science / ML positions have the highest demand at 50% of all AI/ML Concepts jobs.

How do I improve my AI/ML Concepts 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.

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