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ABOUT THE AUTHOR

Thomas Krause is employed at eOperations Switzerland Ltd, serving as Product Manager NEST - a leading provider of business solutions for tax administrations in German-speaking Switzerland - while also heading the office of the Digital Tax Association (VDS). He studied business with a focus on taxation and auditing in Germany. After graduation he gained hands-on experience in Switzerland—working, among others, for Ringler Informatik Ltd (e-Tax complete solutions), the Zurich Cantonal Tax Office and Kendris Ltd.
When the Next Generation Fails to Materialise – AI as an Opportunity

k-flash audio commentWhen the Next Generation Fails to Materialise – AI as an Opportunity

The case

Demographic change has been intensifying the labour shortage in Switzerland. As the baby boomer generation is retiring, significantly fewer young people are entering the labour market, so increasing productivity will be crucial in order to safeguard long-term prosperity.

Source: economiesuisse.chText has been greatly abridged.

The commentary

Generative artificial intelligence offers promising opportunities to address this challenge. The technology is based on deep learning models capable of recognising patterns in vast amounts of data and generating new content such as text, images or software codes. Users interact with these systems by means of so-called prompts.

Unlike traditional automation, which primarily replaces physical labour, generative AI mainly supports cognitive tasks such as analysing information, writing or planning. Yet, for the technology to fully realise its productivity potential, several conditions must be met: An innovation-friendly environment, well-designed regulation as well as continuous upskilling and training of the workforce.

This publication has been prepared solely for information purposes and is does not constitute a recommendation, a solicitation, or an offer. The information on which this publication is based has been obtained from sources that we believe to be reliable and in good faith, but we have not independently verified such information and no representation or warranty, express or implied, is made as to its accuracy. All expressions of opinion are made as of the date of publication and may be subject to change without notice. k-flash and all related affiliates accepts no liability or responsibility whatsoever for any consequential loss of any kind arising out of the use of this publication or any part of its contents. The use of this publication should not be regarded as a substitute for the exercise by the recipient of his or her own judgment. This publication is not directed to any person in any jurisdictions that prohibit such publication.
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