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

Printers and AI

Moderate exposureAI score 6/10 · Hospitality & Food
6out of 10
JPE Score
Median salary
£28K
ASHE 2024
Forecast 2030
-10% to +5%
Employment
17K
ONS APS 2025, small sample
Employment growth 2021-2025 (ONS APS)
-8%
small survey sample
Forecast trend 2025-2030
stable
Part-time
14%
Female share
25%
Sector
Hospitality & Food

Exposure scores

JPE (Practical Exposure)6/10 — Moderate exposure
Employment growth 2021-2025 (ONS APS)-8% (small sample)

AI exposure explained

What does an AI score of 6/10 mean?

Interpretation

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

For Printers, AI exposure is moderate: some tasks will be assisted or automated, but the occupation as a whole is expected to evolve rather than disappear. Staying current with AI tools in the field is the key adaptation.


Forecast 2030

What changes for Printers?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -3% · Stable: invest in AI skills
Basenational projection, without AI0%
Base + AIJPE 6/10: −2.5%-2%
Base + AI + roboticsphysical automation, already under way: −1%-3%
Rows add up: the bottom row is the forecast.
Small survey sample

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: Digital printing presses with automatic feeding let one person run more machines; this is already reflected in the downward trend. (Expert estimate 3/10, effect to 2030 between 0% and −2%.)

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

Printers 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 experience selective automation of routine tasks while human judgment remains central.


AI tools

Which AI tools are already making an impact?

ChatGPTLightspeed AI

Career outlook

Deepen the human side

AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgement, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.


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

Chefs
AI 2.5/10·0% 2030
Hospitality & Food
Butchers
AI 2/10·-1% 2030
Hospitality & Food
Bakers
AI 2.5/10·-1% 2030
Hospitality & Food
Chief Executives and Senior Officials
AI 5.5/10·+3% 2030
Management
Production Managers in Manufacturing
AI 5/10·+3% 2030
Management

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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