Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Transport & Logistics

Fork-lift Truck Drivers and AI

Moderate exposureAI score 4/10 · Transport & Logistics
4out of 10
JPE Score
Median salary
£28K
ASHE 2024
Forecast 2030
-10% to +5%
Employment
84K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+47%
Forecast trend 2025-2030
stable
Part-time
8%
Female share
1%
Sector
Transport & Logistics

Exposure scores

JPE (Practical Exposure)4/10 — Moderate exposure
Employment growth 2021-2025 (ONS APS)+47%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

Moderate exposure — Parts of this work can be assisted by AI. The role will evolve but not disappear.

Fork-lift Truck Drivers has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for Fork-lift Truck Drivers?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -2% · Stable: invest in AI skills
Basenational projection, without AI0%
Base + AIJPE 4/10: 0%0%
Base + AI + roboticsphysical automation, already under way: −2%-2%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of -10% to +5% matters more than the midpoint. Robotics: Automated high-rise warehouses and self-driving pallet trucks (Ocado, Tesco with Swisslog, Amazon) are taking over forklift work in new warehouses; this has started and speeds up with every new warehouse. (Expert estimate 6/10, effect to 2030 between 0% and −4%.)

Sources: base DfE Labour market and skills projections 2020 to 2035 (Working Futures), baseline · jobs, part-time and female share: ONS Annual Population Survey (Nomis NM_218_1), 2025 · salary: ASHE 2024. Working Futures differentiates growth only at the level of 26 occupational sub-major groups; the AI and robotics layers refine per occupation.

Read the methodology →


Sector context

Transport & Logistics and AI

Fork-lift Truck Drivers belongs to the Transport & Logistics sector. This sector has an education level index of 1/4, indicating lower formal education requirements. Occupations in Transport & Logistics with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPTOptibus

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

Based on your sector (Transport & Logistics) and AI exposure level, here are three concrete steps to future-proof your career.

Implement AI route optimisation

Fuel costs drop 10-15% with dynamic routing

→ Google Maps Platform, Samsara
Adopt fleet management AI

Predictive maintenance reduces breakdowns and downtime

→ Samsara, Motive
Automate compliance and logging

AI handles tachograph records and driving hours compliance automatically

→ Samsara, Webfleet

Related occupations

Similar occupations on the map

Heavy Goods Vehicle Drivers
AI 4/10·0% 2030
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Van Drivers
AI 3.5/10·0% 2030
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Bus and Coach Drivers
AI 3.5/10·0% 2030
Transport & Logistics
Chief Executives and Senior Officials
AI 5.5/10·+3% 2030
Management
Production Managers in Manufacturing
AI 5/10·+3% 2030
Management

International

This occupation in other countries

🇫🇷Caristes
AI 4/10Forklift Drivers

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. Where shown, the Felten AIOE score is an academic reference. Job counts, growth 2021-2025, part-time and female share from the ONS Annual Population Survey (Nomis NM_218_1), SOC 2020; salaries from ASHE 2024 (an estimate where ASHE has no figure). The 2030 forecast (JPE-prognose v3) starts from the DfE Working Futures baseline and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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