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Simon Janssen is CTO at HappyNurse and sits on the advisory board of CIONET Nederland, the largest European network of CIOs and CTOs. He has over 14 years of experience in fintech, healthcare and consultancy and writes about AI, technology and leadership from practice.

Simon sets the technological direction at HappyNurse, from AI applications to cloud architecture and platform development. He invests a lot in the team that makes it happen.

About AI governance, cloud sovereignty, digital transformation and leadership in practice. Always from his own experience. His articles appear on this site and on LinkedIn.

Via LinkedIn (@simondjanssen) or through this site. New articles appear here first.

A free online tool that measures in 20 questions how mature your organisation is when it comes to AI. The scan looks at four domains: strategy and direction, data and systems, people and adoption, and governance. You receive a personal report immediately after completing it.

For boards, management teams and leaders who want to know where they stand with AI and what a sensible next step looks like. No technical knowledge needed.

About 5 minutes. The scan consists of 20 multiple-choice questions.

A report with a total score (0–100), a score per domain, a radar chart and concrete recommendations tailored to the outcome of your organisation.

Yes, completely free. No registration, no subscription, no hidden costs.

No. The scan processes nothing outside your browser. No data is stored or shared with third parties.

An interactive map that visualises occupational groups by AI exposure. The Dutch edition covers 103 CBS occupational groups, the US edition covers 106 BLS occupational groups. Together they represent over 200 occupations and 96 million jobs. All data is free under CC BY 4.0.

JPE stands for Janssen Practical Exposure. It is a 1-10 score measuring how much of an occupation's daily work is practically affected by AI today or within 3-5 years. Scores are LLM-estimated and cross-validated against three academic sources: Felten AIOE, OECD and Frey & Osborne. JPE was developed by Simon Janssen for cross-country comparability.

JPE measures practical impact: "is AI actually changing this work?" Felten AIOE measures theoretical capability overlap: "can AI handle these tasks?" Felten scores are typically 1-2 points higher because capability precedes adoption. Both scores are shown side by side on every occupation page.

The forecasts are directional scenarios, not labor market predictions. For the Netherlands: the model combines CBS trend data (2015-2025) with AI disruption pressure and NL vulnerability. For the US: BLS projections (2023-2033) are halved to a 5-year horizon and adjusted for AI pressure. AI pressure values are design choices, not empirical measurements. The range (lower bound to upper bound) shows the bandwidth.

JPE scores are comparable across countries (average NL 4.9 vs US 4.8, weighted by employment). Forecasts are not directly comparable because the Netherlands uses real historical data while the US uses BLS projections. The comparison table at simondjanssen.nl/en/ai-map shows the key differences.

Yes. Both datasets (NL + US) are downloadable as CSV under Creative Commons BY 4.0. Embed codes are available for the interactive map and career scan. Credit: Simon Janssen, simondjanssen.nl/en/ai-map.

A free tool where you type your occupation and receive a personal report with your JPE score, Felten AIOE reference score, 2030 forecast, career advice, development tips and relevant AI tools. You can share the result on LinkedIn.

Yes. The US Career Scan at simondjanssen.nl/en/us-career-scan searches 106 US occupations with BLS data, JPE and Felten scores, and career advice. The US version is in beta and uses synthetic trend data.

The Dutch scan covers 103 CBS occupational groups (5.8 million jobs). The US scan covers 106 BLS occupational groups (91 million jobs). Together over 200 occupations.

No. Both scans run entirely in your browser. No data is stored or shared.

Yes. Simon speaks about AI governance, cloud sovereignty, digital transformation and technology leadership. Get in touch via LinkedIn to discuss availability and topics.

AI governance and the EU AI Act, cloud sovereignty and European data sovereignty, agentic AI in practice, technology leadership and digital transformation, and the future of AI in regulated sectors.

At CIONET Nederland (panel on cloud sovereignty, Haarlem), as keynote speaker at Werf& AI & Talent 2026 in Arnhem and at the Recruitment Tech Awards 2025.

Via LinkedIn: linkedin.com/in/simondjanssen.

Yes, Simon reads and responds to messages personally. Please allow a few working days for a reply.