303 of 412 highly AI-exposed occupations are still projected to grow

AI exposure is not a job-loss verdict.

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303 of 412 highly AI-exposed occupations are still projected to grow
Workforce Foresight
Edition 01
PRISMIIQ WORKFORCE INTELLIGENCE
Workforce intelligence built for people navigating the AI economy.
More visibility. More time. More choices.
Edition 01 · This week's finding

AI exposure is being mistaken for job elimination.

The employment forecast tells a different story...

303 of 412 highly AI-exposed occupations are still projected to grow.

To pressure-test that assumption, Prismiiq connected AI-exposure classifications with 2025 to 2035 employment projections.

The takeaway: exposure does not dictate demand. Projected demand diverges across occupations, and even for the same work in different industries.

Prismiiq analysis · Projected direction of highly AI-exposed occupations, 2025 to 2035 · Calculated
303
Projected to grow
97
Projected to decline
12
Rounds to zero
Structural workforce signal Prismiiq analysis 2025 to 2035

The decision-relevant signal

Workers should not ask only, “How exposed is my job to AI?” They should also ask, “Is demand for my occupation rising or falling in my industry, and where is the same work growing?” The answer can reveal where to build skills, seek opportunities or prepare for transition.

Reported Published by the source, unchanged.Calculated Arithmetic Prismiiq performs on reported figures; the formula is shown.Prismiiq Read Prismiiq's interpretation of the evidence, not a statement by the source.Modeled An estimate from an approved Prismiiq model.Hypothesis A possible explanation Prismiiq has not tested.Unavailable Evidence Prismiiq does not yet hold. Never filled in or estimated.

Why Prismiiq built this

Prismiiq’s mission is not just to forecast the future, but to build the algorithms that protect it. Workforce Intelligence brings that mission to workers. We believe people deserve clear evidence about the forces reshaping their work, with enough visibility and time to make informed choices.

Workers should not be the last to see change coming.

Laura Becerra, Founder and CEO, Prismiiq

What changed

  • Reported On 27 August 2026 BLS published its 2025 to 2035 employment projections together with, for the first time, a Relative AI Exposure category for every occupation.
  • Calculated Prismiiq archived both releases and joined them by occupation code for all 831 occupations, then read them by industry.

1 · The evidence-based reassurance

National · Same level of AI exposure

High AI exposure is not the same as falling demand.

Calculated Of the 412 occupations BLS rates High or Very high for Relative AI Exposure, 303 are projected to grow (73.5%).

2 · The tension

  • Calculated 97 highly exposed occupations are projected to decline and 12 round to zero.
Two occupations BLS rates Very high for AI exposure · Reported
Software developers+10.2%
1,717,800 jobs in 2025, national
Office clerks, general−6.0%
2,600,000 jobs in 2025, national
  • Calculated The most exposed industry shown, aerospace manufacturing (61.7% of published jobs highly exposed), grows fastest (+10.1%); parts manufacturing (31.4%) has the weakest outlook (−13.9%).
  • Reported These count occupational titles, not workers, and BLS states exposure is not a forecast of job loss.

3 · Why context matters

Automotive · Same sector

Vehicle assembly grows while the parts workforce contracts.

Calculated Inside one industry family, BLS projects motor vehicle manufacturing at +7.1% and motor vehicle parts manufacturing at −13.9%: a 21.0-point gap.

Projected employment change, 2025 to 2035 · Reported
Motor vehicle manufacturing+7.1%
285,800 jobs in 2025
Motor vehicle parts manufacturing−13.9%
524,700 jobs in 2025
  • Reported Motor vehicle parts manufacturing: 524,700 jobs in 2025, 73,200 fewer projected by 2035.
Miscellaneous assemblers and fabricators: projected change by industry
In motor vehicle manufacturing+6.9%
151,300 jobs in 2025
In motor vehicle parts manufacturing−12.9%
126,000 jobs in 2025

Calculated Of the 119 occupations BLS publishes in both industries, 30 move in opposite directions between them.

Commercial Aviation · Same industry

Aviation grows, but not every aviation job grows with it.

Reported Every aviation-related industry shown is projected to grow, yet inside aerospace manufacturing (+10.1%), aircraft structure, surfaces, rigging, and systems assemblers are projected at −5.8%.

Projected employment change, 2025 to 2035 · Reported
Scheduled air transportation+6.4%
512,100 jobs in 2025
Support activities for air transportation+6.1%
270,200 jobs in 2025
Nonscheduled air transportation+4.4%
58,000 jobs in 2025
Aerospace product and parts manufacturing+10.1%
568,100 jobs in 2025
  • Reported Aircraft mechanics and service technicians grow in every aviation industry shown, from +3.9% to +10.8%.
  • Reported Aerospace manufacturing combines commercial and defense work; BLS does not separate them.
Inside aerospace manufacturing (+10.1%)
Aerospace engineers+10.8%
26,100 jobs in 2025
Aircraft mechanics and service technicians+10.8%
25,100 jobs in 2025
Aircraft structure, surfaces, rigging, and systems assemblers−5.8%
31,100 jobs in 2025

Calculated A growing industry does not mean every occupation in it grows.

4 · What Prismiiq adds

AI exposure alone is insufficient. Industry demand, current hiring, observed adoption, company pressure, workforce events and transition capacity must also be examined.

BLS reports occupations and industries. Prismiiq joins them and is building the remaining layers. Layers marked Unavailable are not in this edition, and nothing stands in for them.

ReportedOccupationsBLS projections for 831 occupations
ReportedIndustriesBLS National Employment Matrix, joined by Prismiiq
ReportedAI exposureBLS Relative AI Exposure, joined by occupation code
UnavailableCompany conditionsGoverned for covered companies; not yet joined to workforce outlooks
UnavailableCurrent demandJob-posting evidence not yet acquired
UnavailableAI adoptionObserved adoption not yet acquired
UnavailableWorkforce eventsEvent registry not yet published
UnavailableTransition capacitySkills and transition evidence not yet acquired
UnavailableWorkforce-event modelNo 6-month or 12-month model is approved

Prismiiq calculations in this edition

  • Calculated Of the 412 occupations BLS rates High or Very high for Relative AI Exposure, 303 are projected to grow (73.5%).How: 303 ÷ 412 = 73.5% of occupations.
  • Calculated 97 highly exposed occupations are projected to decline and 12 round to zero.How: Count by sign of projected change among High and Very high occupations
  • Calculated The most exposed industry shown, aerospace manufacturing (61.7% of published jobs highly exposed), grows fastest (+10.1%); parts manufacturing (31.4%) has the weakest outlook (−13.9%).How: Jobs in High or Very high occupations ÷ published detailed jobs, by industry
  • Calculated Inside one industry family, BLS projects motor vehicle manufacturing at +7.1% and motor vehicle parts manufacturing at −13.9%: a 21.0-point gap.How: +7.1% − (−13.9%) = 21.0 points
  • Calculated The parts decline of 73,200 jobs is larger than the 47,600 net decline across all three automotive industries combined.How: Sum of projected change in vehicle manufacturing, body and trailer manufacturing and parts manufacturing = −47,600 jobs
  • Calculated Of the 119 occupations BLS publishes in both industries, 30 move in opposite directions between them.How: Count of occupations with published cells in vehicle manufacturing and parts manufacturing whose projected change differs in sign
  • Calculated In scheduled air transportation, 58 of 93 published occupations carry a shared +3.9%, below the industry's +6.4%; flight attendants and pilots, at +9.1%, carry more of the growth.How: Occupations sharing the most common projected change in scheduled air transportation, compared with the industry total
  • Calculated A growing industry does not mean every occupation in it grows.How: Occupation cells in aerospace manufacturing compared with the industry total

5 · What this means for workers

  • Calculated Your industry can matter as much as your title: miscellaneous assemblers and fabricators are projected at +6.9% in vehicle plants and −12.9% in parts plants.
  • Calculated Growth in your industry is not growth in your job: aircraft structure, surfaces, rigging, and systems assemblers decline while aerospace grows.
  • Calculated An AI-exposure rating on its own does not tell you whether demand for your work is rising.
  1. Look up your industry, not only your job title, and check whether your occupation follows that industry's outlook or departs from it.
  2. If you work in parts manufacturing, compare your occupation across the vehicle, body and parts industries.
  3. Read an AI-exposure rating next to the projected demand for your occupation, never on its own.
  4. Use this as ten-year context for planning. Current openings, wages and skills transfer are not yet in this evidence.
  • Unavailable Which occupations a worker's skills transfer to, and which transitions are realistic.

6 · What Prismiiq monitors next

Evidence Prismiiq is adding. None of it is in this edition yet.

  • Current hiring and separations in transportation-equipment manufacturing and air transportation.
  • WARN notices and plant actions among parts manufacturers.
  • Financial pressure disclosed in SEC filings by companies in these sectors, joined to their workforce outlook.
  • Observed AI adoption by employers in these industries.
  • The next annual BLS projections: does the parts outlook stay negative?

Counterevidence

  • Reported Body and trailer manufacturing, also automotive, is projected to grow +3.5%.
  • Reported Some parts occupations hold up better than their industry's −13.9%: industrial engineers −5.1%; industrial machinery mechanics +4.5%; mechanical engineers −6.0%.
  • Calculated Most occupations in an industry repeat its projection (95 of 181 in parts at −12.9%). They are not independent confirmation of it.
  • Calculated Eight industries are a comparison, not a statistical relationship between exposure and growth.

What is not established

  • Unavailable Why the vehicle and parts industries diverge.
  • Unavailable Whether AI contributes to any projected change.
  • Unavailable Which employers, plants or workers are affected, or when.
  • Hypothesis Sourcing shifts, supplier consolidation or vehicle-platform changes could contribute to the parts outlook. Prismiiq has not tested this.
  • Hypothesis Aviation growth may reflect passenger demand, fleet renewal or defense spending. Prismiiq has not tested this.

What employers could do to reduce disruption

Options with their operating and financial logic. Prismiiq has not established that any of them prevents a reduction.

Redeployment
How it works
Matching displaced roles to open roles with shared skills.
Financial logic
Keeps trained workers; avoids severance and rehiring cost.
Cost
Transition training and productivity dip.
Working if
Share of affected workers placed in open roles within two quarters.
Targeted hiring controls
How it works
Approval gates on new requisitions by role.
Financial logic
Avoids adding cost in roles with falling demand.
Cost
Unfilled-demand risk.
Working if
Requisitions fall in targeted roles; critical roles stay filled.
Reskilling tied to specific adjacent work
How it works
Training mapped to the destination role's skills.
Financial logic
Training cost against severance, rehiring and productivity loss.
Cost
Training and paid training time.
Working if
Completers placed in the destination role and retained after twelve months.
Phased restructuring
How it works
Sequence changes with redeployment and attrition first.
Financial logic
Spreads separation cost and preserves capacity during transition.
Cost
Transition cost; longer timeline.
Working if
Involuntary separations below the initial plan; capacity maintained.
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Sources and publication dates

BLS figures are rounded to the nearest hundred jobs. Calculations are Prismiiq's, not BLS's; BLS.gov cannot vouch for the data or analyses derived from these data after the data have been retrieved from BLS.gov.

Evidence base: Prismiiq connected and analyzed two federal datasets: 2025 to 2035 employment projections and Relative AI Exposure classifications. Source: U.S. Bureau of Labor Statistics, published August 27, 2026. Prismiiq calculated the occupation counts and cross-industry comparisons. “Highly AI-exposed” includes occupations rated High or Very high. Counts represent occupations, not workers; exposure is not a forecast of individual job loss.

Prismiiq Workforce Intelligence provides informational analysis, not employment, legal, investment, or individualized career advice. Workforce and AI-exposure indicators describe patterns in available data; they do not establish that layoffs will occur or that any individual’s job is at risk.