“…Nissen (2020) says that the future of work embrace more and more the complexity, the diversity of fields and knowledges, with more decentralization, inclusion and connectivity, and following this trend, a new techno economic paradigm (Pérez, 2003) have been building: industry 4.0, a "new industrial revolution" (Hawken, Lovins, & Lovins, 2013;Schwab, 2017) led by the universal digitalization, robotization (Ford, 2015) and creation of smart networks (Zemtsov, 2020), changing "The nature of work, the workplace, and the workforce (...) rapidly, differently, and to a greater extent than in years past, affecting greater numbers of individuals in profoundly powerful ways" (Schulte et al, 2020, p.2). There are nine pillars of the industry 4.0 (Rüßmann et al, 2015apud Silva, 2017 There are some arguments against the IA of work, such as limitations on availability and reliability of big data, the existence of many tasks that favour humans, narrow capabilities of IA technologies, the high availability of human workers (Coombs, 2020) and the uncertain about massive job losses (Burgess & Connell, 2020). However, the changes promoted by AI on work may be accelerated on important events that shake the world social, economic and politics scenario, as of the outbreak, due to the economic need in the midst of human vulnerability to the COVID-19 pathogen.…”