According to Gartner, 2020 will be a crucial year in the occupational dynamics related to artificial intelligence. The number of jobs affected by Artificial Intelligence varies by sector; until 2019 health care, the public sector and education will see an ever-increasing demand for labor, while production will be hit hardest. Starting in 2020, the creation of jobs linked to the artificial intelligence will pass into positive territory, reaching two million new jobs in 2025.
Many significant innovations in the past have been associated with a transitional period of temporary job loss, followed by recovery; that’s why business transformation and artificial intelligence will probably follow this route. Artificial intelligence will improve the productivity of many jobs, eliminating millions of medium and low-level positions, but also create millions of new high-quality positions.
Unfortunately, alarmism about job losses confuses artificial intelligence with automation, which obscures the most significant benefit of AI: a combination of human and artificial intelligence in which both complement each other.
IT managers should not just focus on the expected net increase in jobs. With every investment in artificial intelligence technologies, they must if ever consider which jobs will be lost, which jobs will be created and how the IA will transform the way workers collaborate with others, make decisions and lead to work is finished.
Gartner identified further forecasts of the impact of AI at the workplace. Artificial intelligence has already been applied to highly repeatable tasks where it is possible to analyze large amounts of observations and decisions to create patterns. However, applying AI to a less routine work that is more varied due to the lower repeatability will soon start to produce superior benefits.
The AI applied to this type of work is more likely to assist humans than to replace them, as combinations of humans and machines will work more effectively than human experts or machines are driven by artificial intelligence do. they work separately.
By 2022, one in five workers in predominantly non-routine tasks will rely on the AI to do a job. Using artificial intelligence to automatically generate a weekly status report or select the first five emails in the inbox certainly does not have the same wow factor of treating a disease, which is why these practical uses short-term go unnoticed.
Businesses are just starting to seize the opportunity to improve non-routine work through artificial intelligence by applying it to generic tools. Once so-called knowledge workers incorporate artificial intelligence into their work processes as in the case of a virtual secretary or intern.
By leveraging technologies such as artificial intelligence and robotics, retailers will use intelligent process automation to identify, optimize and automate the laborious and repetitive activities currently being carried out by human beings, reducing labor costs through efficiency from headquarters to distribution centers and stores.
However, Gartner’s research suggests that many consumers still prefer to interact with an experienced sales clerk when they visit a store, particularly in specialized sectors like home, health, and cosmetics, where trained employees and experts can have a significant impact on customer satisfaction. Even if they reduce the labor used for other operations, retailers will find it difficult to eliminate traditional sales consultants.
Retailers will be able to save on jobs by eliminating highly repetitive and transactional tasks, but they will have to reinvest some of these savings into expert trainers that can improve the customer experience. That’s why many retailers will come to consider artificial intelligence as a way to enrich customers’ experiences rather than removing humans from any process.
In 2021, the AI will generate $ 2.9 billion of commercial value and will recover 6.2 billion hours of worker productivity. However, some industries, such as outsourcing, are witnessing a fundamental change in their business models, so cost reduction due to AI and the resulting improvement in productivity must be reinvested to allow for rethinking and finding new business model opportunities.
The AI can take on repetitive and mundane tasks by freeing humans for other activities, but the symbiosis of humans with artificial intelligence will be more nuanced and will require reinvestments and re-thinking rather than simply automating existing practices. Rather than having a machine that replicates the steps that a human performs to achieve a particular judgment, the entire decision-making process can be reworked to utilize the strengths and weaknesses of both the machine and the human being, so to maximize value generation and redistribute decision-making to increase agility.