Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Hospitality & Food

Chefs and AI

Low exposureAI score 2.5/10 · Hospitality & Food
2.5out of 10
JPE Score
Median salary
£26K
ASHE 2024
Forecast 2030
-5% to +5%
Employment
229K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+14%
Forecast trend 2025-2030
stable
Part-time
20%
Female share
26%
Sector
Hospitality & Food

Exposure scores

JPE (Practical Exposure)2.5/10 — Low exposure
Employment growth 2021-2025 (ONS APS)+14%

AI exposure explained

What does an AI score of 2.5/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Chefs has low AI exposure and grew in recent years. This occupation relies on human-centred demand that AI cannot easily replicate.


Forecast 2030

What changes for Chefs?

Expected employment change, 2025 to 2030
-5% to +5%
Midpoint 0% · Stable: invest in AI skills
Basenational projection, without AI0%
Base + AIJPE 2.5/10: 0%0%
Base + AI + roboticsno robotics effect before 20300%
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 -5% to +5% matters more than the midpoint.

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 →


Simon Janssen
The person behind this map

I build with AI. And I track what it does to work.

I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.


Sector context

Hospitality & Food and AI

Chefs belongs to the Hospitality & Food sector. This sector has an education level index of 2/4, indicating moderate formal education requirements. Occupations in Hospitality & Food 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?

ChatGPT

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 (Hospitality & Food) and AI exposure level, here are three concrete steps to future-proof your career.

Implement AI inventory management

Reduce food waste by 20-30% with demand prediction

→ MarketMan, BlueCart
Use AI for menu optimisation

Data-driven menus improve margins and customer satisfaction

→ Toast AI, Lightspeed
Automate ordering and POS workflows

AI handles upselling and order accuracy automatically

→ Toast AI, Lightspeed

Related occupations

Similar occupations on the map

Printers
AI 6/10·-3% 2030
Hospitality & Food
Butchers
AI 2/10·-1% 2030
Hospitality & Food
Bakers
AI 2.5/10·-1% 2030
Hospitality & Food
Dental Practitioners
AI 4/10·+5% 2030
Healthcare
Physiotherapists
AI 3.5/10·+5% 2030
Healthcare

International

This occupation in other countries

🇺🇸First-Line Supervisors of Food Preparation and Serving Workers
AI 4/10First-Line Supervisors of Food Preparation and Serving Workers
🇫🇷Cuisiniers
AI 2.5/10Chefs and Cooks

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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