What will AI change in your workforce?

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

Customer service

ISCO-08 4222, 4225

Customer service advisor, Contact centre agent, Customer service team leader, Complaints handler, Customer care manager, Back-office customer administrator

AI exposure57%

Headcount need, in FTE

Exposure range
FTE
Need in 203080 FTE-20 FTE (-20%)
Need in 203561 FTE-39 FTE (-39%)
10080604020262028203020322035
How AI is used on these tasks todayIn AI conversations about this job's tasks: the AI does the task itself (automation) or helps the person do it (augmentation).Anthropic Economic Index, April and May 2026. Occupations: Customer Service Representatives. AEI
Average automation potential of the job's tasks. Range for this family: 48 to 66%.ILO occupations used: Contact Centre Information Clerks (58%), Inquiry Clerks (57%). 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 70%: Contact volumes are set by customers, so every request resolved by AI directly reduces the number of advisors needed.

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
Produce content with AI
Delegate to and supervise AI agents

Job skills

Growing in value

  • Handling complex and emotional customer cases
  • De-escalating complaints and retention calls
  • Taking over conversations started by chatbots
  • Spotting and reporting faulty bot answers

Losing value

  • Answering simple information requests
  • Writing standard email replies
  • Logging and summarising calls
  • Searching the knowledge base during calls

How the job will change

Customer service is one of the functions where AI is already in production. Chatbots and voice agents handle simple requests such as order tracking, address changes or contract information, while assistants suggest replies, summarise calls and fill in the CRM for advisors. Each advisor handles more contacts, and a growing share of simple requests never reach a human.

The calls that remain are harder: complaints, disputes, customers in difficulty, cases the bot failed to solve. The job requires more experience and emotional resilience than before, and team leaders must manage advisors and bots together. A good advisor tomorrow resolves the complicated case at first contact, keeps a frustrated customer and reports when automated answers go wrong.

2026-2027
Assistants summarise calls and suggest replies; bots handle simple requests.
2028-2030
Voice and chat agents resolve most routine contacts end to end.
2031+
Smaller teams of experienced advisors handling complex and sensitive cases.
Watch out

Natural turnover makes reductions easy, which tempts companies to automate too far. Remaining calls are harder, so advisor burnout and service quality need close watching as simple contacts disappear. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-6%1 FTE short
Gap above 5% from2029
Your seniority mix today
Mid-level (1 to 4 yrs in the profession, the remainder)35%
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
Juniors50%Mid-level34%Seniors14%

2026 2036

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  • What AI actually changes in jobs and skills
  • Why the junior pipeline matters more than most companies realise
  • How to integrate AI into workforce planning
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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

My simulation

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