Job postings mentioning generative artificial intelligence have risen sharply in several European countries in the year leading up to March 2025. Yet, experts emphasise that human intelligence remains a key requirement in the workplace.
For comparison, job openings in Ireland for chefs currently represent 1.1% of total postings. Opportunities for lorry drivers and bartenders represent 0.8% and 0.6% respectively.
These figures highlight Ireland’s position at the forefront of digital innovation in the European labour market.
How has Ireland become a hub for GenAI jobs?
“Ireland’s leading presence in GenAI job postings reflects the country’s well-established technology sector and its role as a European base for many global firms,” Pawel Adrjan told Euronews Business.
“With a high concentration of tech employers, including major multinationals and a number of start-ups, it’s natural we would see a proportionate increase in GenAI roles there too,” he added.
Globally recognised names such as Alphabet, Amazon, Apple, Meta, IBM, Intel, Microsoft, Oracle, Salesforce, and Tencent, among many others, have established significant European operations in Ireland.
Adrjan of Indeed also noted that the steady growth in AI-related roles is also indicative of Ireland’s focus on industries like software, financial services, and life sciences, which are increasingly integrating AI tools into their operations.
GenAI job postings surge in Germany, the UK, and France
Several major EU and international markets — including Germany, France, Australia, the US, the UK, and Canada — lag behind Ireland in incorporating GenAI into job roles. In each of these countries, the share of job postings mentioning GenAI remains at or below 0.3% as of late March 2025.
However, the share has risen by around 100% or more in these European countries over the past year. This highlights how the job market is evolving, even if still well behind Ireland’s 204% increase.
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The UK has the highest share of GenAI-related job postings among the three largest European economies, at 0.33% as of 31 March 2025. That’s up 120% from 0.15% the previous year.
Germany follows with 0.23% (a 109% annual increase), and France at 0.21% (a 91% increase).
Which jobs most commonly mention GenAI?
GenAI jobs appear across a range of categories. Among the top occupations in Ireland where job postings mention GenAI, mathematics leads by a wide margin. As of March 2025, 14.7% of advertised roles in mathematics referenced GenAI, significantly higher than any other category. This was followed by software development (4.9%), media & communications (3.9%), architecture (2.4%), and scientific research & development (2.1%).
Other fields showing notable GenAI activity include industrial engineering (1.8%), legal (1.7%), marketing (1.6%), medical information (1.5%), and production & manufacturing (0.9%).
Human intelligence remains a strong requirement
Pawel Adrjan explained that in many developed markets, ageing populations are contributing to labour shortages and widening skills gaps. As a result, employers face growing competition for talent and are increasingly turning to skills-first hiring approaches, including the use of AI to expand and enhance their workforce.
While nearly every job will be impacted by AI at some point, Adrjan emphasised that human intelligence remains a key requirement.
“We know that GenAI tools are an excellent resource to enhance efficiencies, but they are currently limited in comparison to human expertise,” he said.
To what extent can GenAI replace jobs?
Joint research by Indeed and the World Economic Forum earlier this year showed that humans will remain an essential part of the global workforce as AI continues to evolve.
Indeed analysed over 2,800 work-related skills to assess GenAI’s potential to substitute employees. The findings show that around two-thirds (69%) are unlikely to be replaced by GenAI, underscoring the continued importance of human expertise in the workplace.
The chart above shows the likelihood of certain skills to be replaced or substituted by GenAI. They are ranked from “very low capacity” (hard to replace) to “high capacity” (easy to replace).
AI and Big Data, as well as reading, writing, and mathematics are on the “high capacity” side of the scale. On the “very low capacity” side of the scale, we can see sensory-processing abilities, along with empathy and active listening.