π‘ Management Analysts have a composite risk score of 39/100 (Frey-Osborne probability: 13%, GenAI exposure: 87/100). With 893,900 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 893,900 workers and a median wage of $101K,management analysts represent a significant portion of the US workforce. Their GenAI exposure index is 87%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
39/100
Employment
893,900
Median Wage
$101K
GenAI Exposure
87%
β οΈ Top Risk Factors
AI-generated written content replacing manual drafting
AI summarization replacing manual report compilation
Automated data interpretation and insight generation
π‘οΈ Tasks AI Can't Easily Replace
Stakeholder management in complex organizational settings
Navigating regulatory ambiguity and compliance judgment
Ethical judgment in fiduciary and advisory roles
Crisis financial decision-making under uncertainty
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
51% skills overlap Β· $145K median wage
Lawyers, Judges, and Related Workers
69% skills overlap Β· $144K median wage
Architectural and Engineering Managers
57% skills overlap Β· $168K median wage
β Frequently Asked Questions
Will AI completely replace management analysts?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for management analysts?
Management Analysts have a composite AI automation risk score of 39 out of 100, classified as "Moderate".
How many management analysts are there in the US?
There are approximately 893,900 management analysts employed in the United States.
What do management analysts earn?
The median annual wage for management analysts is $101K.
What skills should management analysts develop?
Focus on tasks AI can't easily replicate: stakeholder management in complex organizational settings, navigating regulatory ambiguity and compliance judgment, ethical judgment in fiduciary and advisory roles, crisis financial decision-making under uncertainty. These human-centric skills will become more valuable as routine tasks are automated.