The aim of the NumJobs project is to provide to firms and organizations an innovative tool to simulate the impact of digital and AI technologies on economies and societies.
Digitalization, automation, robotization, rise of artificial intelligence (AI), as many movements and factors which constitute the digital revolution, often founded on innovations of rupture. The bigger issue (or fear depending on point of view) here concerning these digital innovations is that of the impact on employment. Are they sources of job creation, or will they involve destruction – possibly massive – of employment ? If there is job creation, is it through new types of occupation ? And which actual professions would be threatened of extinction?
Moreover, beyond the question of creation or destruction, how this digital revolution will modify the nature of work, the actual tasks, the work conditions, the place of work in the life of the individuals and the society ? Thus, the impact of digitalization about employment not only concerns the economy but also the whole society.
Innovations lead destructions of existing employment and creations of new jobs. Among them, disruptive innovations create new sectors, and could trigger waves of innovations that are potentially engines of wealth creation by diffusion of purchasing power to the other sectors of the economy. They have however destroying effects on certain types of jobs. Previous industrial revolutions have not induced a net negative effect on the number of jobs. Productivity and new products have raised incomes and demand for products. The key issue we aim to tackle is whether the digital technology has similar effects or may involve negative effects on the number of jobs and their structure.
This question is the object of a great interest these last years and several studies sought to measure the impact of digital on employment. The first study is Frey & Osborne (2013) who estimates that 47% of employment in the USA and 35% in the United Kingdom have a high probability of automation within 20 years. Applied to the French case, 42% of employment at the risk (Roland Berger, 2014) is obtained. However these studies relate to the occupations , whereas an analysis – finer – by tasks is necessary to give an account of the heterogeneity of the occupations. A study of OECD (Arntz and al., 2016) based on tasks but at an aggregate level (?) ( considers the risk with 9% of employment (for the USA and on average in 21 OECD countries), while another of France Strategy (Ru, 2016) is based on an investigation DARES into the work conditions and estimates the risk at 15% for France.
A recent report of the COE (the French Council of Orientation for Employment) recently synthesized these studies (COE, 2017) and underlines their limits rightly. They are focused on the potential destruction of employment due to digitalization and automation, but do not allow to measure the creation opportunities related to these technologies. They are based on current technologies, and do not take into account the evolution of the innovations. The social, institutional and economic brakes - that can limit automation - are also not considered. The COE proposes its own study while being based on the investigation work conditions of the DARES, in order to work on the level of the individual terms of employment, and is also interested in employment likely to evolve (not only their disappearance). Their conclusion for France is that 10% of existing jobs are threatened, and that the half of this employment is likely to evolve in an important way.
These studies highlight the difficulty of the subject. Depending on the method, they lead to rather different results, even if the last seem to converge towards a risk of disappearance of employment between 9% and 15%, and 50% of employment that would be concerned with deep change. None of these studies gives the impact on unemployment. Concerning the upgrading capability of employment, the COE gives results on the occupations, but not on their contents (tasks). In addition, the studies are static, in the sense that it are not able to study the evolution of these innovations. Lastly, these studies take primarily the point of view of the individuals (work conditions) and not that of companies (in particular their organization, their strategy, economic constraints, etc).
Our analysis is that a tool is lacking to model and simulate the impact of the digital innovations on employment and work. With NumJobs, we aim to build such a tool, the first to cover all the necessary dimensions of this problem. This tool will allow to :
Based on our experience in the field of simulation using multi-agent systems applied to labor market and innovation, we can now propose a method to build such a tool successfully.
We propose to base our tool on 2 models of simulation multi-agents we have developed for several years:
Associate Professor with Habilitation at Université Pierre et Marie Curie - Paris VI
Multi-Agent Systems Team (SMA) - Computer Science Laboratory of Paris 6 (LIP6)
Emeritus Professor in Economics at Université Panthéon-Assas - Paris II
Paris Center for Law and Economics (CRED)
Email (click to send): Jean-Daniel[dot]Kant[at]lip6.fr
Tél: +33 6 87 67 26 78
Université Pierre et Marie Curie (UPMC) - Paris 6
LIP6 (Laboratoire Informatique de Paris 6)
DESIR / SMA
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