Artificial Intelligence Will Increase Employment

An Accenture Strategy study presented at the Davos World Economic Forum estimates that corporate revenues could grow by 38% by 2020, provided they invest in artificial intelligence and effective human-machine cooperation.

Under these conditions, the level of employment could also benefit from a 10% increase.

According to the Accenture study presented at the World Economic Forum in Davos, both management and employees think that artificial intelligence can play a central role in business and change daily routines.

In particular 72% of the 1,200 top managers surveyed believe that smart technology will be strategic to gain a competitive advantage in the market.

According to 61% of managers, over the next three years, the number of professional figures will grow that will use the Artificial Intelligence daily.

At the same time 69% of the 14,000 workers surveyed are aware of the importance of developing skills that allow intelligent machines to work.

Requalification on the pole

However, there is still a wide gap between the opening up of workers to artificial intelligence and the concrete initiatives undertaken by managers to promote their retraining, which puts growth potential at risk.

The methodology of the Accenture study has used quantitative and qualitative research techniques to analyze the views of workers and corporate managers on the collaboration with intelligent technologies and to investigate how ready they are to make it become a reality. The research is based on the answers of 14,078 workers The interviews were conducted between September and November 2017 in 11 countries (Australia, Brazil, China, France, Germany, India, Italy, Japan, Spain, United Kingdom and United States) in the following markets: Automotive, Largo Consumo’s Goods and Research has integrated an economic model to determine the correlation between investments in artificial intelligence and the financial performance of companies, qualitative interviews with 30 corporate executives and ethnographic interviews with 30 people who have worked with artificial intelligence.

In fact, while 54% of corporate managers consider human-machine collaboration crucial for business, only 3% predicted a significant increase in investment in the redevelopment of their employees within the next three years.

Research highlights the importance of increasing investment in artificial intelligence skills, also to support employment: 63% of managers believe that their company could create new jobs through new technologies. At the same time 62% of workers expect a positive impact of artificial intelligence on their work.

According to the analysis, the most advanced companies are relying on human-machine collaboration not only to increase efficiency, but also to enable new customer experiences.

For example, in the case of a company selling online clothing, artificial intelligence could improve customer knowledge, enabling the provision of exclusive services more aligned to their needs. A sports shoe brand, in turn, could increase the ability to operate in local markets, integrating the skills of professionals  sarti and engineers  with robotic intelligence.

The Accenture Guidelines

Rethinking work from the workers. According to Accenture, it is necessary to start from the tasks, rather than from the roles, and assign tasks from time to time to machines and people, balancing the need to automate the work with that of enhancing the abilities of the people. Almost half of the management of the company (46%) believes that it is obsolete to think in terms of pre-established tasks for each professionalism and 29 percent says that they have already extensively redesigned the roles in a more flexible way.

To enchant the potential of the workforce towards areas that can create greater value. We need to go beyond the concept of process efficiency to train the workforce to enable new customer experiences. Growth only occurs by reinvesting the savings achieved by automation in the evolution of the workforce. In addition, a dynamic, agile and creative leadership approach will allow you to seize the opportunities for this transformation in the longer term.

Speed up the redevelopment. The starting point of this process is the assessment of the level of competence of people and their willingness to learn to work using artificial intelligence. Digital platforms allow for the customisation of training programmes on individuals, facilitating the adoption of new skills. Accenture has developed a model of redevelopment of the workforce based on a gradual evolution of skills and on the use of innovative e-learning methods, able to maximise the effectiveness of investments in training and accelerate returns.

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