What will AI change in your workforce?

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

Store sales

ISCO-08 5223

Sales associate, Sales advisor, Client advisor, Department manager, Store manager, Cashier

AI exposure38%

Headcount need, in FTE

Exposure range
FTE
Need in 203092 FTE-8 FTE (-8%)
Need in 203585 FTE-15 FTE (-15%)
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: Retail Salespersons. AEI
Average automation potential of the job's tasks. Range for this family: 22 to 54%.ILO occupations used: Shop Sales Assistants (38%). 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 40%: Store staffing follows opening hours and footfall, and time saved is mostly redirected to advising customers on the shop floor.

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
Analyse data with AI
Produce content with AI

Job skills

Growing in value

  • Personalised advice using customer history
  • Clienteling and follow-up of regular customers
  • Selling across store and online channels
  • Product expertise beyond online information

Losing value

  • Checking stock and product information manually
  • Cash register operations
  • Manual shelf and stock counts
  • Preparing weekly store reports

How the job will change

The core of store sales stays physical and relational: welcoming customers, advising them, handling products, keeping the floor in order. AI changes the tools around it. Sales staff use a tablet or phone to check stock across the network, read product information and see a customer's purchase history. Self-checkout and smarter scheduling reduce cashier work, and store managers receive automated sales and staffing reports.

Customers often arrive having compared products online with AI assistants, so they expect advice that goes beyond the product sheet. The good sales associate tomorrow knows the products in depth, uses customer data to personalise the visit while respecting privacy rules, and sells across store and online channels. Store managers spend less time on reports and more time developing their teams.

2026-2027
Sales staff use mobile assistants for stock, products and customer history.
2028-2030
Self-checkout spreads; AI-based scheduling adjusts staffing to footfall.
2031+
Fewer cashier roles, more advisors with deep product and customer knowledge.
Watch out

Automated scheduling can fragment working hours and weaken retention in an already high-turnover population. The real shortage will concern experienced advisors able to sell premium and complex products. 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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  • 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

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