In Brief #8 – AI’s impact on productivity and competitiveness (synthesis)

In Brief #8 – AI & Competitiveness

The synthesis highlights three areas of AI impact, based on six company cases from the AI@Work business case series.

Key areas of impact:
• Think big, start small
• Human and AI complementarity
• Organisational readiness

In Brief #5 – AI@Work business case series (competitiveness)

In Brief #5 – AI & Competitiveness

This edition presents six company cases showing how AI supports business performance across the EU.

The company cases show:

• how companies use AI in daily operations to increase productivity
• how AI supports competitiveness across sectors
• practical examples from finance, manufacturing, retail, and healthcare

In Brief #4 – AI competitiveness: structural challenges of the EU

In Brief #4 – AI&Competetiveness

The in brief shows:

• gaps in AI research, model development, and innovation diffusion
• lower levels of private investment in AI compared to global competitors
• limitations in AI infrastructure, including computing capacity

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:

Your responses will support a fact-based approach to future regulation and strengthen employer perspectives in social dialogue.

Take part here.

Fact sheet #13 – How the EU compares to the US and China

Fact Sheet #13– AI & Competitiveness

AI competitiveness is a key challenge for Europe. This analysis shows the EU lags behind the United States in AI model development, investment, and computing infrastructure.

Europe’s strengths include strong education systems and a solid base for AI talent. However, it struggles to turn innovation into scalable business outcomes.

Closing this gap requires faster AI adoption, stronger investment, and improved access to advanced infrastructure.

Fact sheet #12 – Miele

Fact Sheet #12– AI & Competitiveness

Miele uses AI to improve manufacturing processes. Key use cases include production data analysis, predictive maintenance, and generative AI for knowledge access and documentation.

Results show higher process stability with reduced scrap, lower waste and energy consumption, and more efficient maintenance through data-driven decisions.

Fact sheet #10 – Heuille et fils

Fact Sheet #10 – AI & Competitiveness

This fact sheet explores how Heuille et fils, a French SME specialised in industrial mechanics and metal machining, uses AI to improve operational management and productivity. Through MBS, an AI-supported management platform, the company shows how AI can assist with planning, analysing operational risks and supporting decision-making in industrial environments.

Fact sheet #8 – Salling Group

Fact Sheet #8 – AI & Competitiveness

This business case highlights how Salling Group uses a centralised AI-driven pricing model to optimise markdowns for products nearing expiration.

By analysing historical sales data, the system recommends context-specific discounts that reduce food waste, improve pricing consistency, and strengthen bottom-line performance – while keeping human oversight central.

The gradual rollout, strong management support, and continuous employee feedback were key to building trust and impact across stores.

Fact sheet #1 – AI Regulation in the EU: Implications for the Workplace

Fact Sheet #1 – AI & Competitiveness

Artificial Intelligence is reshaping work across Europe – but it also introduces new compliance challenges. The fact sheet offers a clear overview of the EU AI Act and its implications for companies using AI in the workplace.

Fact sheet #2 – Elea iC

Fact Sheet #2 – AI & Competitiveness

This fact sheet explores how Elea iC, a leading Slovenian engineering firm, uses AI to enhance competitiveness in infrastructure design. Through Rouka, an AI-based decision support system for tunnel alignment, Elea iC demonstrates how AI improves design efficiency and cross-disciplinary collaboration.