According to Schumpeter, every new socio-economic cycle occurs as a result of new kinds of technology that transform society to offer novelties, such as consumer products/services, production methods, standards, markets, types of industrial organisation, academic formations, job skills and works. Each business long cycle or Kondratiev wave has four phases 1) depression, 2) recovery, 3) prosperity or expansion, and 4) recession. The current Smart City era that several researchers have related to “the sixth Kondratiev wave” is associated with smart technologies (i.e. big data, Internet of things) and “smart cities”. The sixth Kondratiev wave is moving from the recovery to the expansion phase. To our knowledge, there is little academic literature that analyses the transformation of professional skills and the labour market in this smart city context. In order to analyse this transformation, we have collected data through qualitative methods (i.e. job interviews, observations, career fairs), as well as from Emploi Public, LinkedIn and Pôle Emploi. The authors analysed data through qualitative content analysis. This paper proposes a framework offering a way to highlight and analyse the labour market transformation which would be useful for creating public policy and anticipating the change of workforce skills concerning service industries such as art, culture, tourism, health.