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Gartner, the world leader in unbiased technology research and advice, predicts that 2020 will be a pivotal year in employment dynamics, as Artificial Intelligence (AI) becomes a positive driver. The number of jobs affected by AI will vary by industry. By 2019, healthcare, government and education sectors will see increasing demand for jobs, while manufacturing will be hit hard. Starting in 2020, job creation related to Artificial Intelligence (AI) will undergo a positive transformation, reaching 2 million new jobs in 2025.
 
"Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery. So business transformation and AI are likely to follow this route. Artificial Intelligence will improve the productivity of many jobs, eliminating millions of jobs. mid- and low-level positions, but will also create millions of new positions in high-skill, management and even the entry-level and low-skill variety," said Svetlana Sicular, vice president of Research at Gartner.
 
“Unfortunately, the most pessimistic predictions of job losses confuse AI with automation – which overshadows the greatest benefit of AI – a combination of Human and Artificial Intelligence, where both complement each other,” says Svetlana.
 
IT leaders shouldn't just focus on the projected net increase in jobs. With every investment in AI-enabled technologies, consideration must be given to which jobs will be lost, which jobs will be created, and how it will transform how workers collaborate with others, how they make decisions, and how they get their work done.
 
"Now is the time to really impact your long-term AI direction," says Svetlana. "For the greatest value, focus on augmenting people with AI. Enriching people's jobs, reimagining old tasks, and creating new industries. Transform your culture to make it quickly adaptable to AI-related opportunities or threats."
 
Gartner has identified additional predictions related to the impact of AI in the workplace:
 
By 2022, one in five workers involved in most non-routine tasks will rely on AI to get a job done. The innovation was applied to highly repetitive tasks where large amounts of observations and decisions can be analyzed for patterns. However, applying AI to less routine work that is more variable and, due to less repetitiveness, will begin to yield superior benefits. AI applied to work is more likely to serve to help humans, rather than replace them, as combinations of humans and machines will work more effectively than the human experts or AI-driven machines that work alone.
 
"Using AI to automatically generate a weekly status report or pick the top five emails in your inbox doesn't have the same wow factor as, say, curing a serious illness, which is why these practical and short-term improvements go unnoticed. Companies are just beginning to seize the opportunity to improve non-routine work through Artificial Intelligence, applying it to general purpose tools. Once knowledge workers incorporate innovation into their Whether working as a virtual or in-house secretary, robot employees will become a competitive necessity," said Craig Roth, research vice president at Gartner.
 
By 2022, the multi-channel retailer's efforts to replace sales associates through AI will not succeed, although cashier and operational jobs will be disrupted. Leveraging technologies such as AI and robotics, retailers will use intelligent process automation to identify, optimize and automate labor-intensive and repetitive activities that are currently performed by humans, reducing labor costs through efficiencies from headquarters to centres. distribution and stores. Many retailers are already expanding the use of technology to improve the checkout process in stores. However, research suggests that many consumers still prefer to interact with a knowledgeable sales associate when visiting a store, particularly in specialist areas such as building supplies, pharmacies and cosmetics, where informed associates can make a significant impact on customer satisfaction. While it reduces the work used for checkout and other operational activities, retailers will find it difficult to eliminate traditional sales advisors.
 
"Retailers will be able to make labor savings by eliminating highly repetitive and transactional jobs, but they will need to reinvest some of those savings into training that can improve the customer experience," said Robert Hetu, research director at Gartner. "As such, most retailers will be able to see AI as a way to augment customer experiences rather than simply removing humans from all processes."
 
In 2021, AI augmentation will generate US$ 2.9 trillion in business value and recover 6.2 billion hours of worker productivity. While many industries will see the growing business value of AI, manufacturing is one that will receive a large share of the business value opportunity. Automation will drive cost savings, while removing friction in value chains will further increase revenues, for example in optimizing supply chains and go-to-market activities.
 
However, some industries, such as outsourcing, are seeing a fundamental shift in their business models, whereby the AI cost reduction and resulting productivity improvement must be reinvested to allow for reinvention and the pervasiveness of new model opportunities. of business.
 
"AI can take on repetitive and mundane tasks, freeing humans to do other activities, but the symbiosis of humans and AI will be more nuanced and diverse and will require reinvestment and reinvention rather than simply automating existing practices," said Mike Rollings, vice president of Gartner research. "Rather than having a machine replicate the steps a human takes to reach a particular judgment, the entire decision process can be revised to use the relative strengths and weaknesses of the machine and human to maximize value creation and redistribute decision-making to increase agility".

 

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