JobShiftAtlas
Source-backed profile

Human Resources Specialists

Recruit, screen, interview, or place individuals within an organization. May perform other activities in multiple human resources areas.

BLS SOC 13-1071 · O*NET-SOC 13-1071.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$75,940

Projected change, 2025–2035

6.4%

2025–2035 annual average openings

73,700

AI exposure

Very high

Editorial analysis

HR is getting faster, but judgment is getting harder

Human resources specialists are seeing AI enter both sides of the hiring process. Employers can use it to draft job descriptions, search for candidates, summarize applications, prepare interview questions, answer employee questions, personalize training, and organize onboarding. Applicants can use the same technology to tailor resumes, write cover letters, rehearse interviews, and apply to more positions. That means HR can process more information, but it also has more information to question.

When everyone can polish the paperwork

Traditional signals may become less reliable. A beautifully written resume no longer proves strong writing ability, and a polished application may reveal little about how much of the work was done by the candidate. HR specialists may respond by putting more weight on work samples, structured interviews, skills assessments, references, and evidence that is harder to manufacture.

  • Routine recruiting and employee-service tasks are likely to become increasingly automated.
  • Skills matching may improve, but automated recommendations still need review for bias and missing context.
  • Employee data used by AI raises privacy and transparency questions.
  • Employee relations, sensitive conversations, investigations, accommodations, and difficult hiring decisions remain deeply human parts of the job.

In the longer term, HR specialists may spend less time moving forms and more time validating decisions, designing fair processes, helping employees adapt to changing jobs, and deciding how AI should be used at work. The strongest career preparation is a combination of people skills, employment-law awareness, data literacy, and enough AI fluency to challenge a system rather than simply accept its recommendation.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
939,700 jobs
Projected employment, 2035
999,700 jobs
Projected change, 20252035
60,100 jobs (6.4%)

Relative AI exposure

BLS category: Very high. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Very high

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • Interpret and explain human resources policies, procedures, laws, standards, or regulations.
  • Hire employees and process hiring-related paperwork.
  • Maintain current knowledge of Equal Employment Opportunity (EEO) and affirmative action guidelines and laws, such as the Americans with Disabilities Act (ADA).
  • Prepare or maintain employment records related to events, such as hiring, termination, leaves, transfers, or promotions, using human resources management system software.
  • Address employee relations issues, such as harassment allegations, work complaints, or other employee concerns.
  • Review employment applications and job orders to match applicants with job requirements.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Document management software
  • Graphics or photo imaging software
  • Web page creation and editing software
  • Human resources software
  • Desktop publishing software
  • Object or component oriented development software
  • Data base user interface and query software
  • Video creation and editing software

Preparation

Typical entry education
Bachelor's degree
Related experience
None
On-the-job training
None

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.