AI faster than its defences: Swiss cantons are hiring up to six times more in AI than in cybersecurity

Swiss organisations are adopting artificial intelligence faster than they are hiring the people meant to secure it. A new Abilene Academy study, which analysed job postings on Glassdoor across thirteen cantons, surfaces a gap that is getting hard to ignore: in the least-prepared canton there are nearly six open AI roles for every open cybersecurity role. As organisations widen their digital footprint, the security meant to protect it falls behind, and that is exactly where the risk begins.

Vaud, the least-prepared canton

At the top of the least-prepared ranking, Vaud posts a readiness score of 14.12 out of 100. Behind that number sits a telling ratio: 69 open cybersecurity roles against 393 AI roles, or nearly 5.7 AI hires for every security hire. A gap that wide suggests Vaud's organisations are extending their digital capability far faster than the skills meant to defend it, advancing with an exposure that grows quicker than their ability to watch over it.

Basel-Landschaft shows the opposite is possible

At the other end of the table, Basel-Landschaft earns a perfect score of 100. It is the only canton where cybersecurity roles outnumber AI ones, at 1.24 security roles for every AI role, which makes it close to seven times better prepared than Vaud. Between the two extremes sits Zürich, the most populous canton and by far the largest employer in both fields, in fifth place with roughly 2.8 AI roles for every cybersecurity role, proof that a high volume of tech jobs does not guarantee balance.

The gap shows up by sector too

The same imbalance runs from one sector to the next. Consumer goods comes out least prepared, with a single cybersecurity role for every nine AI roles, while tax and accounting services show the best balance at three security roles for every AI role. The context gives those numbers their weight: according to Deloitte, 53% of Swiss executives have already built AI into their workflows, so the exposure is widening across almost every organisation, prepared or not.

Why the imbalance leaves organisations exposed

Every AI system that goes live widens an organisation's digital footprint, and with it the attack surface. When cybersecurity hiring fails to keep pace, blind spots multiply: data leaks, AI-assisted phishing, prompt-injection attacks and regulatory breaches all grow more likely at the very moment systems proliferate. The answer is not to slow AI down but to govern it, framing its adoption with recognised standards such as ISO 27001 for information security and with the obligations tightening across Europe, from the NIS 2 Directive to the Cyber Resilience Act.

What organisations should do

The study's message is direct: cybersecurity can no longer be a secondary strand of digital transformation, it has to be designed into the AI strategy from the start. In practice that means bringing the pace of security hiring closer to the pace of AI adoption, and putting in place the skills, processes and governance to carry it. Five priorities stand out:

• Build security into every AI project from the design stage, not after deployment.
• Bring the pace of cybersecurity hiring and training closer to the pace of AI adoption.
• Govern AI systems with a dedicated framework (ISO/IEC 42001) rather than case by case.
• Assess the risks specific to AI, from AI-assisted phishing to prompt injection.
• Anchor accountability for security at board level, not only in IT.

The skills that close the gap

Closing the gap starts with people. As the only PECB Titanium Partner in Switzerland, Abilene Academy trains and certifies the roles most in demand: ISO 42001 Lead Implementer to govern the AI organisations are deploying, Lead AI Risk Manager to manage its specific risks, and Lead Cybersecurity Manager to build the defensive capability that has not kept pace.

Further listening: Alexis Hirschhorn, CEO of Acuna GRC in Morges, discussed these questions on Swiss radio LFM's programme Le 6-9 (in French), on the opportunities and dangers of artificial intelligence for Swiss companies.