Switzerland needs to address reskilling and regulation around GenAI

In our latest whitepaper, “Charting the Future: Switzerland’s Path to Generative AI Leadership in 2024 and Beyond”, we dissect the transformative impact of Artificial Intelligence (AI) and generative AI (GenAI) in Switzerland as of 2024. Backed by a survey of 279 Swiss professionals and insights from expert-led Digital Xchange workshops, the findings paint a vivid picture of the GenAI landscape.

The Current Landscape: The survey reveals a robust 62% adoption of AI, with a significant 30.6% implementation across five or more business functions. However, a closer look uncovers a landscape in flux, with 50% of respondents anticipating a major shift in jobs within the next three to five years.

Challenges and Concerns: While enthusiasm for GenAI is palpable, concerns remain. Privacy, data breaches, and over-reliance on technology emerge as key worries. Furthermore, a staggering 52% of organisations lack clear policies on AI in the workplace, indicating a critical need for guidelines.

Urgent Issues: Two pressing issues demand immediate attention. First, the survey signals an outright explosion in demand for skills training as GenAI reshapes the workplace. Second, there is a concerning lack of awareness among Swiss professionals regarding official GenAI policies, with only a third advocating for more government regulation.

Actionable Recommendations: Our whitepaper concludes with strategic recommendations for policymakers, business leaders, and education providers. Urgent actions include the establishment of a robust educational and political framework, investment in transforming continuing education, and a focus on the judicious use of GenAI to maximise opportunities while minimising risks.

Join the Conversation: As Switzerland stands at the crossroads of GenAI innovation, we invite you to study the full whitepaper, to gain a comprehensive understanding of the challenges and opportunities that lie ahead. Read the full report here.

This whitepaper was jointly created and published by digitalswitzerland, IMD and EPFL.