Benchmarks/AI / Machine Learning

LinkedIn Benchmark for AI / Machine Learning Professionals

Emerging

See how AI / Machine Learning professionals compare across LinkedIn visibility, career strength, and AI resilience.

Updated October 5, 2026

Compare Me With AI/ML Professionals →

Free · Uses your LinkedIn export · No scraping

As of October 5, 2026, the median LinkedIn Score among 28 RankedIn users classified as AI / Machine Learning professionals is 58 (the middle half scored 51–66), and their median AI Resilience Score is 87 (middle half 75–90).

These figures describe RankedIn users who uploaded a LinkedIn data export, a self-selected group rather than a representative sample of the profession. AI Resilience Scores are AI-generated estimates, so small differences between professions should not be read as meaningful.

How RankedIn calculates benchmarks →
LinkedIn Score
58
AI Resilience
87

What stands out

90
Influence leads
28
Content trails
87
AI Resilience
Network
65
Engagement
62
Credibility
65
Outreach
77
Content
28
Career
80
Learning
70
Influence
90
How RankedIn scores these dimensions →

You've seen the AI / Machine Learning benchmark. Now see where you stand.

See where you fall within this benchmark — see your LinkedIn Score, AI Resilience, and individual signals next to AI/ML Professionals, including where you're strong, where you may be under-positioned, and what to improve next.

See Where I Stand →

Built from your actual LinkedIn data — not a questionnaire. Processed privately and never shared.

How does the comparison work? →
  1. Request your LinkedIn data export (LinkedIn → Settings → Data Privacy → Get a copy of your data)
  2. Upload the relevant files to RankedIn
  3. RankedIn analyzes the data
  4. See your personalized comparison and recommendations
About this benchmark(sample size, methodology)

A growing benchmark with stronger depth behind the comparison. Benchmarks publish only after meeting minimum data-quality and privacy thresholds — small or unverified samples are never shown as if they were reliable.

  • Based on 28 benchmark-eligible AI / Machine Learning professionals
  • Benchmark values use the median score across eligible profiles
  • Typical benchmark range: 51–66
  • Population: Working professionals
  • Maturity: Emerging
  • Last updated October 5, 2026 · refreshed weekly
  • Methodology version v2
View full methodology →

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