What will AI change in your workforce?

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

HR business partners and employee relations

ISCO-08 1212, 2423

HR business partner, HR manager, Site HR manager, Employee relations manager, Labour relations specialist, HR director

AI exposure40%

Headcount need, in FTE

Exposure range
FTE
Need in 203094 FTE-6 FTE (-6%)
Need in 203588 FTE-12 FTE (-12%)
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: Human Resources Managers, Labor Relations Specialists. AEI
Average automation potential of the job's tasks. Range for this family: 31 to 52%.ILO occupations used: Human Resource Managers (36%), Personnel and Careers Professionals (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 30%: Time saved on reporting and drafting goes back into coaching managers and change management, which AI adoption itself makes heavier.

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
Lead AI adoption in one's team
Expert
AI governance and risk management

Job skills

Growing in value

  • Workforce planning with business leaders
  • Consulting works councils on AI projects
  • Coaching managers through job changes
  • Using people analytics to support decisions

Losing value

  • Building HR dashboards by hand
  • Drafting standard HR policies and memos
  • Answering routine manager questions on rules
  • Writing meeting minutes and summaries

How the job will change

HR business partners lose part of their administrative load: dashboards built from the HRIS, first drafts of policies and memos, answers to managers' routine questions on rules and procedures, meeting summaries. Assistants connected to HR data also let them prepare a people review or a headcount discussion in far less time. The core of the job, made of conversations, negotiations and difficult decisions, stays human.

AI actually adds work in social dialogue and change management. Each AI project that affects working conditions requires consulting employee representatives, and job changes must be anticipated with managers. A good HRBP tomorrow masters strategic workforce planning, can discuss the impact of AI on a team with figures and credibility, and supports managers who are themselves unsure about their teams' future.

2026-2027
Assistants prepare HR dashboards, people reviews and policy drafts.
2028-2030
AI projects multiply works council consultations and reskilling plans.
2031+
HRBPs act as workforce planning advisers to business leaders.
Watch out

Few HRBPs today are trained in workforce planning or able to discuss AI impact with data. That gap slows down every transformation they are supposed to support. 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

Free guide

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
Download the AI Cookbook
The AI Cookbook 2026, albert

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AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.

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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

Add the job families you want to compare. Your PDF report covers every family in your simulation, with the assumptions you saved.

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A PDF built from the families and assumptions you set. It covers every family you adjusted.

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