Swiss SMEs drive sharp rise in artificial-intelligence vacancies

Nearly 5,000 AI vacancies were advertised in Switzerland in the year to June 2026, up 32% in 12 months. The figures from the Lucerne University of Applied Sciences and Arts show that artificial intelligence has moved deeper into the country’s mainstream economy. Hiring is expanding beyond specialist technology companies and into businesses that have operated for decades in finance, pharmaceuticals, engineering and public administration.

Small and medium-sized enterprises supplied 76% of the growth in advertised roles. That gives the expansion a distinctly Swiss profile: AI recruitment is reaching the manufacturers, service providers and established family businesses that form the backbone of the national economy. These companies are hiring to develop and implement systems, according to the study, rather than treating AI as a distant research project.

Curdin Derungs, the study’s author, said established SMEs were increasingly integrating AI into their processes and services. The shift matters for the labour market because it broadens the range of employers competing for people with data, software and implementation skills. It also places AI alongside more familiar business functions, from production planning to customer services and risk management.

IT remained the largest source of AI vacancies, with 1,211 roles and 49% growth. The demand, however, stretches across the industries that define Switzerland’s economic landscape. Banks and insurers including Axa, Julius Bär and the Swiss National Bank sought AI specialists. Pharmaceutical groups Roche, Novartis and Lonza also appeared among the employers recruiting for these skills.

Engineering companies are part of the same hiring wave. Siemens, Hitachi Energy and ABB were identified as leading employers in the sector, where AI can support industrial design, energy systems, maintenance and automation. The available source does not break down every vacancy by function, so the figures do not show how many jobs involve machine learning research compared with deployment, governance or data operations.

Public administration recorded the fastest growth, at 67%. The Canton and City of Zurich and the Federal Office of Public Health were among the largest public-sector employers. Derungs said the increase indicates stronger confidence among policymakers and public authorities in AI as a technology with a future role in government services. Recruitment is therefore spreading through both commercial and civic institutions.

Zurich captured 2,181 AI vacancies, or 45% of the national total. The canton was well ahead of Geneva, with around 620 roles, and Bern, with around 590. The distribution reflects Zurich’s concentration of technology companies, financial institutions, corporate headquarters and research networks, while Geneva and Bern bring their own international, administrative and scientific employers into the market.

The regional figures also show that AI recruitment is becoming a national labour-market issue, even though opportunity remains heavily concentrated. A candidate in Zurich encounters a much larger pool of openings than one in many other parts of the country. The study does not establish how many jobs can be performed remotely or whether vacancies are open to applicants outside the canton.

For SMEs, location may shape access to talent. Smaller firms competing with banks, technology groups and public bodies need people who can translate AI tools into workable products and internal systems. Switzerland’s multilingual labour market adds another layer to that competition. The published study identifies the leading cantons, but it does not provide a complete ranking of all 26 cantons or a breakdown by language region.

Experienced specialists saw vacancies rise 42%, while permanent junior roles represented only 5% of advertised positions. The figures expose a difficult entry point for graduates and career changers hoping to enter the expanding field. The study found that employers often requested two to three years of professional experience even for positions described as entry level.

Graduates told the researchers about months-long searches and dozens of unsuccessful applications. Derungs said new entrants described the market as extremely competitive. He also said he was surprised that experienced professionals were increasingly encountering difficulties in their job searches, suggesting that demand is becoming more selective as employers define the skills they need.

The data does not show whether applicants lacked technical qualifications, sector knowledge, language skills or practical experience. It does show a clear gap between the volume of AI recruitment and the number of accessible first jobs. Employers may be looking for candidates who can connect technical systems with regulated industries, business operations and public-sector requirements. For Swiss training providers and universities, the challenge is to match graduates with that practical demand while the market continues to evolve.

Switzerland’s AI expansion is creating demand across private companies and public institutions, but access to the work remains uneven. The near-term hiring picture points to employers seeking people who can put systems into operation, particularly in IT, finance, pharmaceuticals, engineering and government. SMEs account for most of the growth, giving the trend a wider economic base than a boom confined to a handful of technology firms.

Zurich will remain the largest visible centre of opportunity on the study’s figures, while Geneva and Bern provide substantial secondary markets. The spread into cantonal and federal administration may also give AI specialists more options outside the traditional technology sector. The public sector’s 67% growth is the clearest indication that authorities are building internal capacity as they assess how AI can be used.

For jobseekers, the immediate signal is more demanding. Employers are adding vacancies while favouring candidates with demonstrated experience, leaving only a small share of permanent junior openings. The next phase of Switzerland’s AI labour market will depend on how SMEs, universities, public bodies and training programmes convert demand into credible entry routes. The study records the current hiring pattern, while the response from employers and educators will shape who can participate in it.