Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Management Analysts:
57.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forManagement Analysts
$101,860 median salary•94,100 annual openings•SOC Code: 13-1111.00
Management Analysts are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Management analysts land in the "Mostly Resilient" category because while AI is taking over a lot of the time-consuming research and data crunching, the heart of this career still depends on deeply human skills that AI simply cannot replicate. Things like interviewing employees, reading a room, building trust with nervous clients during big organizational changes, and making judgment calls in messy, real-world situations are still very much a human job.
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Management analysts land in the "Mostly Resilient" category because while AI is taking over a lot of the time-consuming research and data crunching, the heart of this career still depends on deeply human skills that AI simply cannot replicate. Things like interviewing employees, reading a room, building trust with nervous clients during big organizational changes, and making judgment calls in messy, real-world situations are still very much a human job.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Management Analysts
Updated Quarterly
How is AI changing Management Analysts jobs?
If you're thinking about becoming a management analyst (also called a management consultant), here's the honest picture: AI is already changing the day-to-day work, especially for the entry-level tasks. Consulting firms are rolling out generative AI systems for research, drafting, and analysis — for example, RSM launched an audit and advisory tool called "Ask Luca" [1] as part of its digital ecosystem in early 2026. According to reporting on the industry, McKinsey's own QuantumBlack research found AI reduces research and synthesis time by more than 30% on typical client engagements [2], and Forrester's 2025 AI in Professional Services report found that consulting firms using AI tools report 40% productivity gains.
The Institute of Management Consultants USA [3] describes a bigger shift too: AI can produce overnight the same strategic analysis that once required a team of consultants and months of work, pushing the profession toward "productized" subscription advice where humans add value through judgment and trust.
Sources
How fast is AI adoption growing for Management Analysts?
Adoption is moving fast because the economic case is strong. McKinsey is cutting an estimated 3,000 to 4,000 positions — about 10% of its global workforce [4] — and Bain, BCG, Deloitte, and KPMG have each reduced headcount or slowed hiring in 2026. Deloitte reports that AI is shifting from pilots and experimentation to scaling [5] across enterprises, which drives client demand for consultants who can guide those rollouts.
Still, there's reason for hope: the Bureau of Labor Statistics projects management analyst employment to grow 10 percent from 2025 to 2035, much faster than average [6], and the World Economic Forum's Future of Jobs Report 2025 [7] emphasizes upskilling over replacement. Human skills — interviewing people, observing how teams actually work, and building trust during change — remain hard for AI to copy, so analysts who learn to steer AI tools will likely thrive.
Sources
Will AI replace Management Analysts?
No. We don't think AI will replace Management Analysts, though we do expect the job to change.
Our AI Resilience Score for this career is 57.8%, which puts it in "Mostly Resilient" territory. The honest reason it isn't higher is that a lot of the day-to-day work, especially research, drafting, and data synthesis, is already being handled faster and cheaper by AI tools. McKinsey's own research found AI reduces research and synthesis time by more than 30% on typical client engagements [2], and major firms including McKinsey, Bain, and Deloitte have slowed hiring or cut headcount in response (metaintro.com, deloitte.com).
What keeps this career standing is the work AI genuinely can't replicate yet: interviewing people, reading a room, building trust with a client going through a difficult change, and making judgment calls when the data points in three different directions. Those skills are the core of what clients actually pay for.
The long-term job market also holds up. The Bureau of Labor Statistics projects management analyst employment to grow 10 percent from 2025 to 2035, much faster than average [6]. Analysts who treat AI as a tool rather than a threat, and who lean into the human side of the work, are well positioned to thrive.
Sources
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Latest AI news for Management Analysts
These articles provide crucial insights for aspiring Management Analysts about navigating an AI-driven landscape. For instance, "6 Principles For Reinvention" emphasizes the need for collaboration with clients to co-create solutions, highlighting a shift from traditional consulting methods. Additionally, "Five ways Gen AI is boosting day-to-day management consulting work" reveals that over 80% of consultants are leveraging generative AI, indicating that embracing technology is essential for staying competitive. By understanding these trends, students can cultivate AI resilience, positioning themselves for success in an evolving job market.
Do you need a chief AI officer? Here's how the tech is changing boardrooms
www.cnbc.com • 5/10/2026
In a recent report, IBM found that 76% of companies were appointing chief AI officers to oversee artificial intelligence transformations.
Future of Management Consulting: Will AI disrupt MBB?
aimultiple.com • 3/16/2026
Explore how McKinsey, Bain & BCG's USPs are at risk with rise of AI, flexible management consulting models & AI consultants.
Five ways Gen AI is boosting day-to-day management consulting work
www.consultancy.uk • 1/6/2026
More than eight-in-ten management consultants are estimated to already by using generative AI in their day-to-day work.
6 Principles For Reinvention: Management Consulting In The Age Of AI
www.forbes.com • 10/13/2025
Management consultants need reinvention for the age of AI. They must focus more on how to co-create answers with clients so that they solve...
Incorporating AI impacts in BLS employment projections: occupational case studies
www.bls.gov • 2/10/2025
In the last few years, artificial intelligence (AI) has advanced rapidly, finding growing applications across industries and occupations.
More Career Info
Career: Management Analysts
They help businesses run better by studying how they work and suggesting improvements to make them more efficient and successful.
Parent Careers
Employment & Wage Data
Median Wage
$101,860
Jobs (2025)
1,077,100
Growth (2025-35)
+10.1%
Annual Openings
94,100
Education
Bachelor's degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.
2
Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.
3
Recommend purchase of storage equipment and design area layout to locate equipment in space available.
4
Prepare manuals and train workers in use of new forms, reports, procedures or equipment, according to organizational policy.
5
Review forms and reports and confer with management and users about format, distribution, and purpose, identifying problems and improvements.
6
Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis.
7
Design, evaluate, recommend, and approve changes of forms and reports.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
