What will AI change in your workforce?

Your company's stance on AI(applies to every family: sets the adoption speed)

Loss adjusting and damage assessment

ISCO-08 3315

Loss adjuster, Motor damage assessor, Property damage expert, Construction claims expert, Remote damage assessor, Commercial loss adjuster

AI exposure45%

Headcount need, in FTE

Exposure range
FTE
Need in 203090 FTE-10 FTE (-10%)
Need in 203580 FTE-20 FTE (-20%)
10080604020262028203020322035
How AI is used on these tasks todayNot enough observed usage on this job's tasks to publish a figure.Anthropic Economic Index, April and May 2026. Occupations: Insurance Appraisers, Auto Damage, Claims Adjusters, Examiners, and Investigators. AEI
Average automation potential of the job's tasks. Range for this family: 26 to 64%.ILO occupations used: Valuers and Loss Assessors (45%). ILO data
Your call: how much of this potential do you want to capture? Nobody can set it for you.
3. Adoption speed midpoint 2030
Inherits your company stance, adjustable for this family.
Default 45%: Remote, photo-based assessment cuts site visits on small claims, but large and complex losses still need an expert in person.

Target AI skills

level 1 to 4
Foundation
Use AI assistants every day
Frame and phrase a request
Check and challenge AI outputs
Protect data and respect the rules
Applied
Rethink one's process with AI
Analyse data with AI
Produce content with AI
Delegate to and supervise AI agents

Job skills

Growing in value

  • On-site assessment of large, complex losses
  • Establishing causes and liabilities
  • Challenging automated damage estimates
  • Mediation between parties and contractors

Losing value

  • Costing repairs from standard price lists
  • Writing routine expert reports
  • Assessing minor damage from photos

How the job will change

For minor motor and household claims, image analysis tools already estimate damage from the policyholder's photos and propose a repair cost, with nobody travelling. For other files, AI drafts the expert report from site notes and photos, prices repairs from reference databases and compares contractors' quotes. Site visits and the dialogue with the parties stay with the expert.

The expert's work concentrates on what cannot be judged from a photo: fires, structural damage, business interruption, construction defects, contested causes. A good expert tomorrow will combine solid technical knowledge, the ability to establish causes and liabilities on site and the confidence to overturn an automated estimate when the field shows something else.

2026-2027
Photo-based estimates for minor damage, expert reports pre-drafted by AI.
2028-2030
Most small claims assessed remotely, fewer site visits per expert.
2031+
Experts concentrated on large, complex and disputed losses.
Watch out

Experts learn their trade on small claims before taking on large losses. As those move to remote assessment, firms already short of experienced adjusters risk a gap when the current generation retires. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-5%2 FTE short
Gap above 5% from2036
Your seniority mix today
Mid-level (3 to 10 yrs in the profession, the remainder)45%
For
Advanced settings
If every company makes the same bet, senior profiles will be scarce and expensive.
80601002026203020342040Senior need (held stable)Seniors available
Seniority mix, % of today's headcount
Juniors25%Mid-level42%Seniors28%

2026 2036

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How the numbers are built

Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.

Public researchExposureAverage automation potential of the job's tasks, from the ILO's 2025 task-level scores.
Your decisionStrategic ceilingHow much of that potential you choose to capture. Your decision, not ours.
Your companyAdoption speedHow fast your company moves, set once for the whole company.
Job family defaultConversion to headcountHow much of the productivity gain becomes fewer people rather than more output.
Headcount effect

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