Supply chain and planning
ISCO-08 4321, 4322, 1324Demand planner, Supply planner, S&OP manager, Production scheduler, Inventory controller, Supply chain manager
Headcount need, in FTE
Target AI skills
level 1 to 4Job skills
Growing in value
- Scenario planning and S&OP arbitration
- Managing exceptions and supply disruptions
- Negotiating with suppliers and production
- Tuning and challenging forecast models
- Coordination with sales and finance
Losing value
- Manual statistical forecasting per item
- Order entry and purchase order follow-up
- Stock reconciliations and inventory reports
- Rebuilding production schedules in spreadsheets
How the job will change
Forecasting engines already compute demand per item and per site, including promotions and weather, with less manual tweaking. Agents can raise replenishment orders, chase suppliers on late deliveries and update the ERP. Stock and production clerks see their routine work shrink fastest: order entry, purchase order follow-up, inventory reconciliations. The planner's monthly cycle, still largely built in spreadsheets, becomes shorter and more automated.
The job moves towards managing exceptions and arbitration: a supplier failure, a demand spike, a capacity conflict between two plants. In the S&OP process, planners will present costed scenarios rather than a single forecast. A good planner tomorrow knows the physical constraints of the network, questions the model when it drifts and negotiates credibly with sales and production.
- 2026-2027
- Forecasting tools with AI suggestions; planners keep control of manual overrides.
- 2028-2030
- Replenishment and supplier follow-up largely handled by agents; clerk roles shrink.
- 2031+
- Planning teams centred on scenarios, risk and S&OP arbitration.
Experienced planners hold tacit knowledge of suppliers, plants and seasonal quirks that models do not capture. Cutting too fast, before automation is reliable, exposes the company to stock-outs during the next disruption. See the seniority outlook below.
What if you hired fewer juniors?
Your 2036 seniors are the juniors you hire today.
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2026 2036
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

Run these scenarios on your actual workforce
AI Impact Diagnostic: 6 to 8 weeks, your data in albert, three costed scenarios and the projected seniority mix for each job family.
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.
Seniority outlook
A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.
Sources
- International Labour OrganizationGenerative AI and jobs: a refined global index of occupational exposure (2025)
- ILO datasetTask-level GenAI exposure scores by ISCO-08 occupation
- AnthropicAnthropic Economic Index (June 2026 release, April and May 2026 usage data)
- Stanford Digital Economy LabCanaries in the Coal Mine? Six facts about the recent employment effects of AI