1. Talent platforms.
A considerable number of workers will be temporary workers: they can be hired to work using tools that will be equivalent to those of Uber.
2. Recruitment through machine learning.
This will allow a better selection of candidates through a mandatory analysis which will determine who and when is hired, and who will stay longer in a job.
3. Development of skills for automated processes.
These skills include creative problem solving, critical thinking, cognitive flexibility, better judgment, emotional intelligence, and the like.
4. Positive experiences for candidates.
Applicants increasingly demand transparency in the hiring process, more communication channels in real time, self-programming meetings, video interviews and less time to receive a response.
5. Skill shortage.
In the coming year employers will seek to fill the skill gaps through hiring and training of employees in the critical areas of the digital transformation.
6. IA support for the construction of relationships.
Artificial intelligence, emotional intelligence and conventional intelligence will be merged to facilitate better relationships at the workplace as well as better business results.
7. The importance of personal branding will grow.
More employees and job seekers will think of themselves as their own CEO, identifying less with a company and more with their own personal brand.
8. Goodbye to the formal workplace.
The increase in digital technologies will make many companies give up their formal headquarters.
Younger generations see work as something they do, not a place they go to: companies should stop evaluating productivity or commitment by looking at the amount time spent in an office.
10. Less dependence on IT.
Due to data compilation carried out by robots, firms will be less and less dependent on IT staff and physical resources.