JobShiftAtlas
Source-backed profile

Healthcare support workers, all other

All healthcare support workers not listed separately.

BLS SOC 31-9099 · O*NET-SOC 31-9099.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$48,430

Projected change, 2025–2035

4.8%

2025–2035 annual average openings

14,100

AI exposure

Moderate

Editorial analysis

AI may affect this broad category unevenly

Healthcare support workers perform many different jobs, so there is no single AI future for this occupation. A worker focused on records or scheduling may see substantial automation, while someone whose work requires preparing patients, transporting equipment, handling specimens, supporting procedures, or providing direct physical assistance may see much less.

A useful question: does the task move information or interact with the physical world?

AI is progressing fastest where work consists of reading, sorting, summarizing, routing, or generating information. Healthcare support tasks involving touch, physical movement, sterile technique, observation, equipment, and face-to-face care are harder to automate safely.

  • Documentation and routine communication are likely to become increasingly assisted.
  • Scheduling and workflow systems may automatically coordinate more tasks.
  • Direct patient-support duties may gain better digital guidance rather than disappear.
  • Workers who develop specialized clinical, equipment, or technical skills may have more durable career paths.

Because this category covers varied roles, workers should pay attention to their own task mix rather than the occupation label alone. The more a job combines specialized healthcare knowledge with physical interaction, the less directly exposed it is to purely digital automation.

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
113,900 jobs
Projected employment, 2035
119,400 jobs
Projected change, 20252035
5,500 jobs (4.8%)

Relative AI exposure

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

Relative AI exposure · Moderate

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.

No O*NET tasks are available until this mapping is resolved.

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.

No O*NET skills are available until this mapping is resolved.

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.

No technology or tool entries are available for this profile.

Preparation

Typical entry education
High school diploma or equivalent
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.