What will AI change in your workforce?

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

Compliance and risk management

ISCO-08 2422, 2611, 2413

Compliance officer, Risk manager, Internal controller, AML analyst, Operational risk analyst, Chief compliance officer

AI exposure47%

Headcount need, in FTE

Exposure range
FTE
Need in 203089 FTE-11 FTE (-11%)
Need in 203579 FTE-21 FTE (-21%)
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: Compliance Officers, Financial Risk Specialists. AEI
Average automation potential of the job's tasks. Range for this family: 27 to 68%.ILO occupations used: Policy Administration Professionals (42%), Lawyers (36%), Financial Analysts (62%). 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%: Regulatory requirements keep growing, so automation gains are largely absorbed by wider control coverage rather than by headcount cuts.

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
Expert
Evaluate and make AI solutions reliable
AI governance and risk management

Job skills

Growing in value

  • AI risk and model governance
  • Regulatory interpretation and impact assessment
  • Investigating complex alerts and cases
  • Challenging business units on risk appetite

Losing value

  • First-level screening of alerts
  • Compiling evidence for control testing
  • Regulatory watch summaries
  • Updating risk maps by hand

How the job will change

Compliance and risk teams process large volumes of alerts, control tests, regulatory texts and evidence files. AI now sorts sanctions and transaction alerts, summarises new regulations, gathers evidence for control campaigns and pre-fills risk maps. In anti-money laundering and internal control, the analyst's first-level review is the part that changes fastest, with far fewer false positives reaching a human.

The function also takes on a new subject: AI itself, with the AI Act, model risk and the use of agents across the company. Compliance officers will spend more time investigating complex cases, interpreting rules and saying no with solid arguments. A good professional tomorrow understands how an AI model can fail and can explain to a regulator how the company keeps it under control.

2026-2027
AI triage of alerts and regulatory watch summaries in production.
2028-2030
Continuous automated controls; AI governance becomes a standing compliance mission.
2031+
Fewer first-level analysts, more investigators and AI risk specialists.
Watch out

Regulators expect humans to remain accountable for automated controls. Cutting first-level analysts too fast can leave the company unable to explain or audit its own alert decisions. 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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The AI Cookbook 2026

albert's guide to cut through the noise around generative AI and turn it into workforce decisions.

  • 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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The AI Cookbook 2026, albert

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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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