Humanity has created more data over the past two years than in all of human history.



The advent of artificial intelligence (AI) in our lives will dramatically change the paradigms we know, including employment.

While debates are taking place on disappearances vs. job displacement, the reality of the rapid evolution of AI is that adaptation too quickly will leave many people on the sidelines.

The rise of the AI leads companies to no longer think in terms of hierarchical structures of employees but in terms of workflow. For each task identified, they will seek to:

  • automate by traditional methods;
  • automate by AIs, usually in the cloud;
  • develop proprietary AIs that will often be trained through the registration of tasks performed by humans..

These actions will result in a massive displacement and precariousness of employment.

We are now at the beginning of these upheavals, where our main short-term problem will be to have enough people to train robots.


And then what happens? Once the robots are trained?


robotME  wants to address the challenges and issues raised by AI by combining several elements:

  • a task distribution platform that gives access to the individuals with the right qualifications – the tasks are recorded and distributed in a blockchain;
  • the availability of nano-training adapted to market demand;
  • nano-certifications management in the blockchain;
  • support for companies wishing to work in workflow;
  • guaranteed remuneration of workers by employers;
  • payment of social security contributions;
  • a system of insurance that weighs the precariousness of employment;
  • an increase in individual freedom in the workplace;
  • ensuring a fair distribution platform with the common good as its goal;
  • correct remuneration in accordance with the law;
  • a platform for the constant search for innovation in the service of societal sustainability;


But robotME allows each individual to capitalize on his or her knowledge and know-how in:

  • recording tasks and anonymizing data;
  • developing and training RNs to carry out these tasks.


“Progress is only worth progress if it is shared by all.”