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Uses of AI in HR mainly cover recruitment, skills management, payroll and administration.
In Luxembourg, the Fit 4 AI and SME Packages-AI programmes co-fund support for SMEs.
Recruitment tools fall under the AI Act, which requires human oversight of decisions.
When an HR team is made up of one or two people, the question is no longer whether to adopt AI, but where to start. The white paper DRH 2030 by the firm MOMEN, written for French mid-sized companies, frames the issue in these terms: the challenge is to work out "how to do it without a dedicated department, with limited HR teams".
SMEs in the Grand Duchy know this reality well, as AI in HR is gradually taking hold and public support is starting to follow.
MOMEN's white paper lists several realistic avenues. For recruitment, tools can automate sourcing, screening and candidate communication, which cuts administrative time while leaving the final assessment to a human. For skills management, platforms map internal know-how from existing HR data and suggest targeted moves or training.
On payroll and administration, new-generation HR software includes AI modules that reduce data-entry errors and automate consistency checks. The white paper also stresses payroll-cost management: tracking the wage bill and headcount in real time lets HR managers work with the same figures as the finance department.
For an SME, these time savings matter all the more, since every hour saved on administration is an hour given back to dialogue with teams. The document points out that the return on investment of these tools is often quick and measurable, provided they are not rolled out in an HR silo but in direct connection with the finance department.
The Luxembourg context is encouraging. According to STATEC figures reported by Paperjam, 24% of companies in the country used AI in 2024, compared with 13.5% in the European Union. A STATEC study also estimates that nine out of ten workers are exposed to AI, with 55% likely to see their job augmented and 14% at risk of replacement, mainly in administrative roles. The country has just over 45,000 active companies, nearly 99% of them SMEs and the vast majority with fewer than 10 employees, according to STATEC data.
For these businesses, two schemes work together. The Fit 4 AI programme, run by Luxinnovation, co-funds a study carried out by an approved consultant, at up to 70% for a small company and 60% for a medium-sized one, with aid between 1,000 and 100,000 euros. It leads to a roadmap that SMEs can then implement through the House of Entrepreneurship's SME Packages-AI, under which the Ministry of the Economy covers 70% of eligible costs for projects of 3,000 to 25,000 euros excluding VAT. According to Philippe Mayer, Deputy CEO of Luxinnovation, "AI requires expertise more than ever to define use cases".
A gap remains: out of more than 1,900 digitalisation grants recorded, only 57 concerned AI, according to figures cited by Paperjam. Economy Minister Lex Delles nonetheless sees digitalisation as an urgent matter, saying at the Journée de l'économie that "a non-digitalised company could no longer exist today".
Automating candidate screening is the most tempting use for a small team, but also the most tightly regulated. The European AI regulation classes as high-risk those systems used for recruitment and selection of people, which entails documentation, transparency and human oversight. The timetable has changed, however: according to Loyens & Loeff, obligations for stand-alone high-risk systems will apply from 2 December 2027, and the relief provided for SMEs is extended to small mid-cap companies.
In Luxembourg, the bill tabled by Minister Elisabeth Margue places the CNPD at the heart of the supervision framework, alongside other sector-specific authorities. The GDPR continues to apply in parallel to the personal data of candidates and employees, which means clearly informing the people concerned about the use of an automated tool. In practice, an SME is well advised to keep a human in charge of the final decision, and to document the tools it uses starting now.
Artificial intelligence in HR requires neither a huge budget nor a dedicated team: it mainly means choosing a process where the time savings are obvious, getting support to frame the use cases, and keeping control over decisions that affect people.
Support exists, the legal framework is becoming clearer, and small HR teams have what they need to progress step by step. For SME HR managers, the question is therefore no longer whether AI will enter their practices, but at what pace and on which processes it will do so.
Can a Luxembourg SME receive funding for an AI in HR project?
Yes. Fit 4 AI co-funds a feasibility study with an approved consultant, and SME Packages-AI then support implementation at 70% of eligible costs, for projects of 3,000 to 25,000 euros excluding VAT.
Can AI be used to screen job applications?
Yes, but these tools are classed as high-risk under the AI Act. Human oversight, documentation of the tools and GDPR compliance are required, with the obligations scheduled to apply in December 2027.
Where should you start without a dedicated HR manager?
With a single time-consuming process, such as payroll administration or candidate communication. A Fit 4 AI diagnostic helps set priorities, and the final decision stays with a human.
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