SOC 25-1122

Communications Teachers, Postsecondary AI displacement risk

Communications faculty teach public speaking, media criticism, and journalism-adjacent skills while the media industry their students enter is being rebuilt around AI content. That overlap makes the curriculum urgent: students need verification, audience judgment, and performance skills that generated content cannot supply.

Exposure52

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

Automation26%

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

Risk bandModerate

Media-industry disruption cuts enrollment in legacy tracks but raises demand for teaching that separates credible communication from generated noise. Performance instruction, from speaking to interviewing to live presentation, is inherently in-person work.

Distribution

Where Communications Teachers, Postsecondary sits across 620 tracked roles

Communications Teachers, Postsecondary · 32050100

Displacement pressure 32 — higher than 52% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

23 O*NET task statements matched to SOC 25-1122. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $78,580 (May 2025, US national). The latest BLS row matched SOC 25-1122.

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 Communications Teachers, Postsecondary

SOC 25-1122 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 32/100 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 Communications Teachers, Postsecondary

The current evidence import matched 23 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 tasks23
SOC25-1122
  • Core task / ID 6288

    Evaluate and grade students' class work, assignments, and papers.

  • Core task / ID 6289

    Prepare course materials, such as syllabi, homework assignments, and handouts.

  • Core task / ID 6290

    Initiate, facilitate, and moderate classroom discussions.

  • Core task / ID 6292

    Compile, administer, and grade examinations, or assign this work to others.

  • Core task / ID 6301

    Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

  • Core task / ID 6291

    Prepare and deliver lectures to undergraduate or graduate students on topics such as public speaking, media criticism, and oral traditions.

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

language

Prepare and deliver lectures on communications

Exposure 56, automation 28%, augmentation 70%.

O*NET evidence: Prepare and deliver lectures to undergraduate or graduate students on topics such as pu... (ID 6291)

social

Initiate and moderate classroom discussions

Exposure 30, automation 10%, augmentation 56%.

O*NET evidence: Initiate, facilitate, and moderate classroom discussions. (ID 6290)

analytical

Evaluate and grade student work

Exposure 56, automation 31%, augmentation 62%.

O*NET evidence: Evaluate and grade students' class work, assignments, and papers. (ID 6288)

social

Advise students on academic and career issues

Exposure 26, automation 8%, augmentation 48%.

O*NET evidence: Advise students on academic and vocational curricula and on career issues. (ID 6297)

TaskExposureAutomationAugmentation
Prepare and deliver lectures on communications5628%70%
Initiate and moderate classroom discussions3010%56%
Evaluate and grade student work5631%62%
Advise students on academic and career issues268%48%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Department Chair

Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 116.

  • Lead curriculum redesign
  • Manage faculty hiring
  • Own program outcomes
Moderate
role redesign

Strategic Communications Director

Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 116.

  • Own organizational messaging
  • Lead crisis communication
  • Manage content teams
Moderate

Comparison guides

Compare the next move before you commit

What the AI risk score means for Communications Teachers, Postsecondary

The displacement pressure score for Communications Teachers, Postsecondary is 32. 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. Evaluate and grade student work carries 31% automation pressure, while Prepare and deliver lectures on communications carries 70% 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: $78,580 (May 2025, US national). Employment context: Faculty role inside the disrupted media economy. Typical education: Doctoral degree typical.

Wage vulnerability is 30, while transition feasibility is 71. 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
  • Student-facing media industry is disrupted
  • Performance skills stay in-person

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Communications Teachers, Postsecondary, 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

Communications instruction

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

Media 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 3

Public speaking coaching

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

Career advising

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 Department Chair, such as lead curriculum redesign.
  3. By 90 days, compare internal openings and external postings for Department Chair or Strategic Communications Director and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Communications Teachers, Postsecondary

Will AI replace Communications Teachers, Postsecondary?

Communications faculty teach public speaking, media criticism, and journalism-adjacent skills while the media industry their students enter is being rebuilt around AI content. That overlap makes the curriculum urgent: students need verification, audience judgment, and performance skills that generated content cannot supply. 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 Communications Teachers, Postsecondary work are most exposed to AI?

Evaluate and grade student work and Prepare and deliver lectures on communications show the strongest automation pressure in this model. Prepare and deliver lectures on communications and Evaluate and grade student work are better treated as AI-augmented work.

What should Communications Teachers, Postsecondary learn next?

Start with Communications instruction, Media analysis, Public speaking coaching. The most practical adjacent paths in this model are Department Chair and Strategic Communications Director.

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