SOC 13-1111

Management Analysts AI displacement risk

Desk research, data gathering, and recommendation-report drafting are increasingly AI-assisted. Engagement scoping, on-site observation, organizational politics, and implementation follow-through keep consulting work human-led.

Exposure58

Share and intensity of work current AI systems can materially affect.

Automation30%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandModerate

Analysts selling slide production face fee pressure as clients adopt AI tools. Consultants who own diagnosis, change management, and measurable outcomes remain in demand.

Distribution

Where Management Analysts sits across 620 tracked roles

Management Analysts · 40050100

Displacement pressure 40 — higher than 67% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

11 O*NET task statements matched to SOC 13-1111. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $101,860 (May 2025, US national). The latest BLS row matched SOC 13-1111.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Management Analysts

SOC 13-1111 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 40/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Management Analysts

The current evidence import matched 11 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks11
SOC13-1111
  • Core task / ID 7276

    Gather and organize information on problems or procedures.

  • Core task / ID 7278

    Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.

  • Core task / ID 7277

    Analyze data gathered and develop solutions or alternative methods of proceeding.

  • Core task / ID 7282

    Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes.

  • Core task / ID 7285

    Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis.

  • Core task / ID 7281

    Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

analytical

Plan organizational studies

Exposure 54, automation 26%, augmentation 60%.

O*NET evidence: Plan study of work problems and procedures, such as organizational change, communicatio... (ID 7285)

social

Conduct on-site observation and interviews

Exposure 22, automation 5%, augmentation 34%.

O*NET evidence: Interview personnel and conduct on-site observation to ascertain unit functions, work p... (ID 7281)

analytical

Develop solutions from analysis

Exposure 58, automation 28%, augmentation 68%.

O*NET evidence: Analyze data gathered and develop solutions or alternative methods of proceeding. (ID 7277)

language

Prepare recommendation reports

Exposure 80, automation 48%, augmentation 74%.

O*NET evidence: Document findings of study and prepare recommendations for implementation of new system... (ID 7282)

TaskExposureAutomationAugmentation
Plan organizational studies5426%60%
Conduct on-site observation and interviews225%34%
Develop solutions from analysis5828%68%
Prepare recommendation reports8048%74%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Strategy and Operations Manager

Training horizon: 3-6 months. Skill overlap 76. Wage preservation signal 106.

  • Own an internal improvement portfolio
  • Measure initiative outcomes
  • Run operating reviews
Moderate
adjacent role

Organizational Development Consultant

Training horizon: 4-9 months. Skill overlap 64. Wage preservation signal 100.

  • Study change management methods
  • Design stakeholder surveys
  • Facilitate working sessions
Moderate

Comparison guides

Compare the next move before you commit

What the AI risk score means for Management Analysts

The displacement pressure score for Management Analysts is 40. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Prepare recommendation reports carries 48% automation pressure, while Prepare recommendation reports carries 74% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $101,860 (May 2025, US national). Employment context: Large consulting workforce with strong growth. Typical education: Bachelor's degree common.

Wage vulnerability is 26, while transition feasibility is 78. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Moderate displacement pressure
  • Report production is augmenting
  • Implementation ownership is durable

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Management Analysts, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Engagement scoping

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Diagnostic interviewing

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

AI-assisted analysis

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Change implementation

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Strategy and Operations Manager, such as own an internal improvement portfolio.
  3. By 90 days, compare internal openings and external postings for Strategy and Operations Manager or Organizational Development Consultant and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Management Analysts

Will AI replace Management Analysts?

Desk research, data gathering, and recommendation-report drafting are increasingly AI-assisted. Engagement scoping, on-site observation, organizational politics, and implementation follow-through keep consulting work human-led. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Management Analysts work are most exposed to AI?

Prepare recommendation reports and Develop solutions from analysis show the strongest automation pressure in this model. Prepare recommendation reports and Develop solutions from analysis are better treated as AI-augmented work.

What should Management Analysts learn next?

Start with Engagement scoping, Diagnostic interviewing, AI-assisted analysis. The most practical adjacent paths in this model are Strategy and Operations Manager and Organizational Development Consultant.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail