Fedil is calling on the government to adopt “an ambitious and proactive approach” to artificial intelligence. Photo: Shutterstock

Fedil is calling on the government to adopt “an ambitious and proactive approach” to artificial intelligence. Photo: Shutterstock

To make Luxembourg a leader in artificial intelligence, Fedil unveiled its roadmap on Thursday 27 February. Here are the eight essential levers that must be activated, according to the business federation, to get the ball rolling.

Since 2019 and the launch of the first national artificial intelligence (AI) strategy, Luxembourg has jumped on the digital transformation bandwagon. But at a time when generative AI is redrawing the contours of the economy, industry and public services, and society more generally, Luxembourg is losing ground.

Despite its solid technological infrastructure, according to the ninth edition of the Global Work Resilience Index (GLRI) published by Whiteshield in collaboration with Google Cloud, of the ranking, overtaken by countries investing heavily in AI and innovation.

“This setback highlights the urgent need for a strategy that combines the country’s traditional strengths with a bolder approach to research, digitalisation and technological adoption,” says Fedil.

At the same time, the European Union is fine-tuning its regulatory framework with the . Luxembourg must approach this lever “ambitiously and proactively” in order to “seize the opportunities and meet the challenges ahead,” says Fedil. For the organisation, updating the national AI strategy represents “a unique opportunity to strengthen the country’s competitiveness and accelerate the digital transition.”

Eight pillars to strengthen Luxembourg’s AI expertise

1. Pragmatic transposition of the AI Act: guaranteeing proportionate, clear and accessible regulation with supervisory authorities promoting constructive dialogue with economic players.

2. Accelerating the adoption of AI in businesses: supporting the development of AI through pilot projects and the future “AI Factory.”

3. Training and support: developing targeted programmes to prepare workers for the transformations brought about by AI.

4. Strengthening digital and energy infrastructure: continuing to strengthen computing capacities, data centres and sustainable energy infrastructures.

5. Cost-competitive electricity: ensure stable and affordable access to electricity for digital and AI companies.

6. Structured and secure access to data: facilitating data interoperability and management to maximise the potential of AI.

7. Greater support for R&D and innovation: encouraging research and collaboration between startups, SMEs and academic institutes.

8. Adoption of AI in the public sector: optimising public services through artificial intelligence for greater efficiency.

The roadmap has been drawn up, but a lot remains to be done. Setting objectives is not enough: you need a strategic vision and concrete actions to achieve them. Because the important thing is not to run, but to start on time. History shows that in the race for innovation, it’s not the start that counts, but the ability to adapt faster than the others.

This article was originally published in .

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