UK AI Exposure · Professional occupations
Quality assurance and regulatory professionals
Quality assurance and regulatory professionals plan, organise, co-ordinate and direct the effective measurement monitoring and reporting on the qualitative and regulatory aspects of a specified tangible (industrial production) or non-tangible (service provision) output.
- Employees (UK)
- 129k
- Median annual pay
- £47,969
- Exposure score ?
- 0.8/10 Minimal 8.4/10 Very high strict reading · with tools is 8.4/10 with-tools reading · strict is 0.8/10
- Wage exposure
- £495m £5.20bn
Higher exposure than 45% of the 379 UK occupations we scored.
What this score means
Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.
If you're in this role, here's what to do now
You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.
Almost every routine task in this role is within reach of today's language models. Roles at this level are getting rebuilt - often not by disappearing, but by one person using AI to do three or five people's output.
If you're in this role, here's what to do now
You don't need to be afraid. You need to be the person doing the rebuilding. The operators who learn to direct AI at scale in this kind of work become hugely valuable. The ones who wait to be told what to do get told what to do - and that thing is often 'we don't need as many of you anymore.'
Where a project with Alex usually starts for this role
These are the highest-importance tasks a language model can already handle directly today. In a typical engagement the first wins come from building workflows around these, so they stop eating your team's time.
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Enter logistics-related data into databases.
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Maintain logistics records in accordance with corporate policies.
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Write or revise standard operating procedures for logistics processes.
These are the highest-importance tasks AI can already handle when paired with the right tools and context. In a typical engagement the first wins come from building workflows around these — usually the difference between an LLM that can technically do the job and one that actually does it inside your business.
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Maintain databases of logistics information.
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Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers.
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Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies.
Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →
The full task breakdown
Every O*NET task for this occupation, split by what AI can already do unaided versus what still needs a human. Importance is O*NET's 1–5 rating of how central each task is to the role.
Tasks via O*NET "Logistics Analysts" (13-1081.02).
What AI can already do
4 of 31 tasks · unaided
Enter logistics-related data into databases.
Maintain logistics records in accordance with corporate policies.
Write or revise standard operating procedures for logistics processes.
Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.
Where humans still hold the line
27 of 31 tasks
Maintain databases of logistics information.
Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers.
Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies.
Reorganize shipping schedules to consolidate loads, maximize vehicle usage, or limit the movement of empty vehicles or containers.
Track product flow from origin to final delivery.
Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation.
Recommend improvements to existing or planned logistics processes.
Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
Contact potential vendors to determine material availability.
Prepare reports on logistics performance measures.
Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes.
Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis.
Monitor inventory transactions at warehouse facilities to assess receiving, storage, shipping, or inventory integrity.
Contact carriers for rates or schedules.
Manage systems to ensure that pricing structures adequately reflect logistics costing.
Confer with logistics management teams to determine ways to optimize service levels, maintain supply-chain efficiency, or minimize cost.
Develop or maintain payment systems to ensure accuracy of vendor payments.
Compute reporting metrics, such as on-time delivery rates, order fulfillment rates, or inventory turns.
Identify opportunities for inventory reductions.
Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation.
Review procedures, such as distribution or inventory management, to ensure maximum efficiency or minimum cost.
Develop or maintain models for logistics uses, such as cost estimating or demand forecasting.
Monitor industry standards, trends, or practices to identify developments in logistics planning or execution.
Route or reroute drivers in real time with remote route navigation software, satellite linkup systems, or global positioning systems (GPS) to improve operational efficiencies.
Determine packaging requirements.
Compare locations or environmental policies of carriers or suppliers to make transportation decisions with lower environmental impact.
Arrange for sale or lease of excess storage or transport capacity to minimize losses or inefficiencies associated with empty space.
Tasks via O*NET "Logistics Analysts" (13-1081.02).
What AI can already do
31 of 31 tasks · with tools
Maintain databases of logistics information.
Remotely monitor the flow of vehicles or inventory, using Web-based logistics information systems to track vehicles or containers.
Communicate with or monitor service providers, such as ocean carriers, air freight forwarders, global consolidators, customs brokers, or trucking companies.
Reorganize shipping schedules to consolidate loads, maximize vehicle usage, or limit the movement of empty vehicles or containers.
Track product flow from origin to final delivery.
Interpret data on logistics elements, such as availability, maintainability, reliability, supply chain management, strategic sourcing or distribution, supplier management, or transportation.
Recommend improvements to existing or planned logistics processes.
Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
Contact potential vendors to determine material availability.
Prepare reports on logistics performance measures.
Enter logistics-related data into databases.
Provide ongoing analyses in areas such as transportation costs, parts procurement, back orders, or delivery processes.
Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis.
Monitor inventory transactions at warehouse facilities to assess receiving, storage, shipping, or inventory integrity.
Maintain logistics records in accordance with corporate policies.
Contact carriers for rates or schedules.
Manage systems to ensure that pricing structures adequately reflect logistics costing.
Confer with logistics management teams to determine ways to optimize service levels, maintain supply-chain efficiency, or minimize cost.
Develop or maintain payment systems to ensure accuracy of vendor payments.
Compute reporting metrics, such as on-time delivery rates, order fulfillment rates, or inventory turns.
Identify opportunities for inventory reductions.
Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation.
Review procedures, such as distribution or inventory management, to ensure maximum efficiency or minimum cost.
Develop or maintain models for logistics uses, such as cost estimating or demand forecasting.
Monitor industry standards, trends, or practices to identify developments in logistics planning or execution.
Write or revise standard operating procedures for logistics processes.
Route or reroute drivers in real time with remote route navigation software, satellite linkup systems, or global positioning systems (GPS) to improve operational efficiencies.
Determine packaging requirements.
Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.
Compare locations or environmental policies of carriers or suppliers to make transportation decisions with lower environmental impact.
Arrange for sale or lease of excess storage or transport capacity to minimize losses or inefficiencies associated with empty space.
Where humans still hold the line
0 of 31 tasks
When AI is paired with workflow tools, every task in this role is reachable. That doesn't mean the role disappears — it means almost all the routine surface area can be compressed.
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Methodology
This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.
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