Decoupling between cognitive productivity and growth, between technologies, AI and life expectancy?

The innovative process of the last 30 years has had - according to some research - a strong acceleration and among the triggering factors we find digital technologies and now AI which will have to be coupled with sustainability issues to redesign the structure and dynamics of entire industrial supply chains towards contamination and techno-social hybridization. According to other sources, however, we find a deceleration of the innovative process which must be investigated in particular with a drop in productivity compared to the golden decades from 1920 to 1970. It will be a question of understanding whether AI or the Metaverse will become acceleration factors just as powerful as - for example - electric energy was at the end of the 19th century. The objective of this work is to investigate the acceleration-deceleration processes of innovation in particular by exploring the emerging clustering factors - internal and external - in the transition from the organization (hierarchical and vertical control) configured by Fordism with a strong Smithian specialization of division work technique compared to the post-Fordist one. Observing the latter through a new cognitive division of labor (of horizontal and holocratic participation) which shows that it overcomes the rigidities of the previous model and faces change as an opportunity for shared and sustainable growth. If this trajectory is realistic then the deceleration in growth and productivity found is probably due to a process of adjustment to accumulate the thrust of the change that we will observe in the next 30-40 years and of convergence between a techno-industrial and social clustering structured along a new technological paradigm and convergence between digitalisation and sustainability. The fundamental levers of which are those of multi-specialization, hybridization and contamination between application fields that have so far been differentiated from the home to food, from agro-ecology to agro-industry to biotech, from mechatronics in a key to transforming knowledge which is nevertheless transdisciplinary and no longer simply disciplinary and supported by organizational transformations fueled by dynamic capabilities, open innovation and open roles and second-level welfare. Transformation keys that should be addressed within an eco-systemic perimeter of European and no longer simply national industrial policies to combine the well-being of people and the environment with new clustering.