In Brief #7 – AI’s impact on workforce planning (synthesis)
In Brief #7 – AI & Workforce planning
This edition summarises three key impacts of AI on workforce planning, based on five company cases presented in the AI@Work business case series.
Key areas of impact:
• better workforce allocation and decision-making
• evolving job content
• skills and training
In Brief #6 – AI@Work business case series (workforce planning)
In Brief #6 – AI & Workforce planning
This edition presents five company cases showing how AI supports workforce planning and management.
The company cases show:
• how AI reduces administrative tasks in recruitment
• how AI improves talent retention through internal mobility
• how AI increases workplace safety and supports operations
• how AI is applied in sectors such as construction, aerospace, and hospitality
Take part in the AI@Work survey
The European Employers’ Institute invites you to take part in the AI@Work survey on the use of artificial intelligence in EU-based companies.
Your input will help assess how AI affects productivity, competitiveness, and workforce management across Europe.
Survey details:
- Short and practical to complete
- Open to all sectors across the EU-27
- Available in English, with auto-translation options
Your responses will support a fact-based approach to future regulation and strengthen employer perspectives in social dialogue.
Take part here.
Fact sheet #11 – Hays
Fact Sheet #11– AI & Workforce Planning
This case shows how Hays uses AI across recruitment, from job descriptions to CV analysis and interview preparation, with human review at each step.
Results show clear impact. Job description quality improves by 38 percent and rework drops by 40 percent. Adoption reaches 77 percent across employees and up to 98 percent for integrated tools.
Fact sheet #9 – Federalberghi Lombardia
Fact Sheet #9 – AI & Workforce Planning
This business case explores how Federalberghi Lombardia sees artificial intelligence transforming the travel and hospitality sector. AI can support hotels in areas such as reputation management, demand forecasting, front-office services, and workforce training.
By analysing large volumes of data and supporting faster decision-making, AI enables more personalised guest experiences, improved operational efficiency, and better competitiveness – while keeping hospitality a human-centred industry.
Fact sheet #3 – The Adecco Group
Fact Sheet #3 – AI & Workforce Planning
This fact sheet shows how The Adecco Group applies AI to recruitment, using the Recruiter GenAI Suite to automate tasks such as job descriptions, interview preparation, and CV evaluation. These tools help recruiters focus on candidates rather than administration. It also outlines Adecco’s global AI training and upskilling programme, ensuring colleagues can use AI responsibly and effectively across all experience levels.
Fact sheet #5 – Heijmans
Fact Sheet #5 – AI & Workforce Planning
How can artificial intelligence improve safety and strengthen competitiveness in the construction and infrastructure sector? This fact sheet presents the case of Heijmans, a leading Dutch construction and development company integrating AI-driven detection systems into heavy machinery to significantly reduce risks in roadwork and construction zones. By combining real-time human recognition with automated vehicle intervention, Heijmans demonstrates how AI can enhance workplace safety while supporting innovation across the industry.
Fact sheet #7 – Airbus
Fact Sheet #7 – AI & Workforce Planning
This fact sheet outlines how Airbus uses AI to support internal mobility and workforce planning in response to changing operational needs. The AI-supported mobility tool helps match employees’ skills and career interests with open positions, supporting talent retention and workforce transformation.
Designed as a decision-support system, the solution combines human oversight, strong data-protection safeguards, and collaboration with social partners. The case highlights the importance of responsible AI use, HR upskilling, and change management in large organisations.