Cross-function summary
Each future job is classified two ways: by its job evolution (how it compares to today's workforce) and by its job archetype (the kind of work it does).
| Future job | Function | Job Evolution | Future Job Archetype |
|---|
Job Evolution
This view maps how today's industrial jobs in each function may evolve into future jobs as AI and intelligent systems take on more execution work. Each future job is grouped by its job archetype and tagged with a job evolution category that describes how it compares to today. Click any future job to see its full profile, responsibilities, and required skills.
Job evolution
A current job grows in scope and uses new capabilities while staying at the same work level.
ElevatedA current job moves up a work level, taking on more judgement-intensive or strategic work than it does today.
ConsolidatedTwo or more current jobs merge into a single future job.
EmergingA flag on a future job, marking it as net-new (the work itself is fundamentally new). May still have a current-job predecessor that evolves into it.
Job archetypes
StrategyShapes long-term direction, priorities, and the operating model of the function.
JudgementApplies professional expertise to make decisions in ambiguous, non-routine situations.
PrecisionDelivers defined tasks reliably and at scale, working alongside autonomous systems with accuracy and discipline.
Future Jobs Library
This library catalogues future job profiles across seven manufacturing and supply chain functions. Data is currently available for Production, Logistics, Quality, Supply Chain Management, and Maintenance; the remaining functions will open as data is finalized. Each profile showcases archetypal jobs operating in a future environment with more advanced human-machine collaboration.
Function
Archetype
Job
Use the filters above to narrow by function or archetype, then search for a job. The full profile will appear here.
How to read a job profile
Every profile follows the same three-part structure.
- Title
- The future job name, the function it sits within, and its archetype (Strategy-Oriented, Judgement-Oriented, or Precision-Oriented). Jobs flagged as Emerging are future jobs marked net-new because the work itself is fundamentally new; an Emerging job may still have a current-job predecessor or predecessors that evolve, expand, or consolidate into it.
- Responsibilities and tasks
- The specific accountabilities and activities people perform in the job: the day-to-day work, the decisions they own, and the outcomes they are accountable for delivering.
- Skills
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The capabilities required to perform the job well, presented in three columns:
- Functional skills are the domain capabilities specific to the job, such as exception governance, contract negotiation, or process redesign.
- Technical tools are the systems, platforms, and technologies the job uses, such as digital twins, AI recommendation engines, or compliance dashboards.
- Behaviors and mindsets are how people approach the work: the dispositions, habits, and orientations that distinguish strong performance from adequate performance.
GLOSSARY: TECHNICAL TERMS USED IN JOB PROFILES
- Advanced Planning & Scheduling (APS)
- Software that generates and optimises production and supply plans by processing constraints across capacity, materials, and demand. APS systems run autonomously; human planners validate outputs for business plausibility and intervene when plans are mathematically correct but operationally unworkable.
- AI governance
- The policies and oversight mechanisms that define how autonomous systems and AI agents are deployed, monitored, and controlled. Includes setting decision boundaries, approving override thresholds, and holding accountability for outcomes whether decisions were made by humans or machines.
- AI-generated output
- Content, plans, recommendations, or decisions produced by an AI system rather than a human. A core human responsibility across nearly all profiles is validating AI-generated outputs before acting on or releasing them.
- Agentic AI / AI agent
- An AI system that takes actions autonomously within defined guardrails, rather than only generating recommendations for a human to act on. In these profiles, agentic systems handle routine decisions continuously; humans govern the boundaries and arbitrate when agents reach the edge of their authority.
- Control tower
- A centralised command interface that aggregates real-time data from across operations and surfaces exceptions, alerts, and recommended actions to human operators. Control tower roles focus on exception arbitration and intervention when autonomous systems cannot resolve a disruption.
- Decision authority
- The defined boundary between decisions an autonomous system is permitted to make and those reserved for human judgement. Human roles in these profiles involve setting and adjusting decision authority: delegating routine calls to machines while retaining accountability for consequential outcomes.
- Demand sensing
- The use of real-time signals (point-of-sale data, logistics feeds, market indicators) to update demand forecasts continuously, rather than relying on periodic historical analysis. Humans govern the constraints within which autonomous demand-sensing agents operate and validate outputs when signals conflict.
- Digital thread
- The connected flow of data linking a product from initial design through engineering, manufacturing, and service. The digital thread enables AI systems to propagate changes across the lifecycle automatically; human roles include stewardship of data integrity and validation of AI-generated updates.
- Digital twin
- A live software model of a physical asset, process, or network, continuously updated with real-world data so it can be used to simulate, monitor, and predict behaviour. Humans use digital twins to test interventions, interpret anomalies, and govern system responses.
- Enterprise Resource Planning (ERP)
- The core business system integrating data and processes across finance, supply chain, production, procurement, and logistics. The most frequently referenced system across all profiles; human roles involve governing data flows and intervening when autonomous workflows require judgement.
- Escalation threshold
- A pre-defined limit at which an autonomous system stops acting independently and hands a decision back to a human. Humans are responsible for setting thresholds, reviewing them as conditions change, and making the judgement calls that triggered escalations require.
- Exception management
- The practice of identifying, triaging, and resolving situations that fall outside the parameters autonomous systems can handle. As routine decisions move to machines, exception management becomes one of the defining human responsibilities across all functions.
- Explainable AI (XAI)
- Tools and techniques that surface the reasoning behind an AI system's recommendation or decision. XAI is used across quality, supply chain, and maintenance profiles to support human review, enable meaningful override decisions, and satisfy audit or compliance requirements.
- Federated data space
- A shared data environment where multiple parties (suppliers, logistics partners, plants) exchange information through agreed standards, without consolidating data into a single central repository. Supply chain and procurement roles engage with federated data spaces while respecting data ownership boundaries.
- Generative AI
- A class of AI systems that produce new content (text, plans, analyses, designs) rather than classifying or predicting from existing data. Used across profiles to draft performance narratives, synthesise supplier intelligence, and generate scenario options; human roles include prompting, validating, and editing outputs.
- Human-in-the-lead
- A system design in which the human sets direction, governs boundaries, and retains accountability, even when machines execute most of the work. Human-in-the-lead accountability is highest for consequential, novel, or ethically sensitive decisions.
- Human-machine teaming
- The collaborative division of labour between human workers and automated systems, where each handles the tasks it is best suited to. The operational norm across production, logistics, and maintenance profiles: humans handle judgement and ambiguity; machines handle speed and routine execution.
- Integrated Business Planning (IBP)
- An extension of Sales and Operations Planning (S&OP) that aligns operational plans with financial targets and strategic objectives across a longer horizon, typically 18–36 months. Humans chair Integrated Business Planning review cycles, arbitrate cross-functional trade-offs, and validate AI-generated planning scenarios.
- IT/OT convergence
- The integration of information technology (business and enterprise systems) with operational technology (factory-floor control systems, sensors, and machines). Creates new capabilities such as remote monitoring and autonomous control, alongside new responsibilities around cybersecurity and system interoperability.
- KPI (Key Performance Indicator)
- A quantified measure used to track performance against a defined objective. In these profiles, KPIs are frequently generated and reported by autonomous systems; human roles include defining KPI logic and arbitrating when KPIs across different domains (cost, carbon, service, quality) point in conflicting directions.
- Manufacturing Execution System (MES)
- The shop-floor system that manages and tracks production in real time, from order release and material movement through quality inspection and completion. The primary operational system for production and quality roles; humans govern its parameters and intervene when automated workflows surface exceptions.
- Multi-agent system / orchestration
- An architecture in which multiple AI agents coordinate across functions (planning, sourcing, logistics, scheduling) to pursue shared outcomes. Human roles include setting the policies agents operate under, arbitrating conflicts between agents, and governing escalations when no agent has the authority to resolve a situation.
- OEE (Overall Equipment Effectiveness)
- A composite measure of production performance combining availability, performance rate, and quality yield, expressed as a percentage of theoretical maximum output. The primary metric autonomous systems optimise against; humans govern the trade-offs when maximising OEE conflicts with carbon, cost, or safety priorities.
- Override
- A human decision to countermand or supersede an autonomous system's action or recommendation. The ability to override, and the accountability that comes with it, is a defining feature of nearly every role in these profiles; governance of when overrides are warranted is a core human responsibility.
- Policy-as-code
- Business rules and decision logic written as machine-executable instructions so that autonomous systems can apply them consistently. Procurement, supply chain, and production roles are responsible for translating business strategy and ethical requirements into policy-as-code, and reviewing it as conditions change.
- Predictive maintenance
- A maintenance approach in which AI systems analyse equipment condition data (vibration, temperature, performance trends) to forecast failures before they occur. Maintenance and reliability roles validate predictive models, govern their thresholds, and make judgement calls when predictions conflict or confidence is low.
- S&OP (Sales & Operations Planning)
- A recurring cross-functional process that aligns demand, supply, inventory, and financial plans over a rolling horizon, typically 3–18 months. Autonomous agents continuously generate and reconcile S&OP inputs; human roles chair the governance cycle and arbitrate trade-offs that exceed agent authority.
- SLA (Service Level Agreement)
- A formal commitment defining the performance standard a supplier, logistics provider, or internal function is expected to meet. SLA monitoring is increasingly automated; human roles involve governing thresholds, arbitrating exceptions, and making judgement calls when performance conflicts with relationship or resilience considerations.
- TCO (Total Cost of Ownership)
- A measure of the full cost of an asset, supplier relationship, or decision over its lifetime (including acquisition, operation, maintenance, risk, and disposal) rather than purchase price alone. The preferred basis for autonomous sourcing and investment decisions across procurement and supply chain profiles.
- WMS (Warehouse Management System)
- The system that directs and records all physical movements within a warehouse or distribution centre, covering inbound receipt, putaway, picking, packing, and despatch. Increasingly interfaces with autonomous handling equipment; human roles focus on exception resolution and intervention when automated workflows break down.