Gartner, an international research and consultancy, said that 1.8 million jobs will be replaced by artificial intelligence (AI) by 2020, but in the meantime, artificial intelligence will create 2.3 million jobs and drive growth in overall job opportunities.
According to Gartner, the number of jobs affected by artificial intelligence will vary from industry to industry; employment opportunities in healthcare, public sector and education will continue to grow in 2019 and manufacturing will suffer the brunt. Since 2020, The number of jobs created will be enough to cover the number of replacements and the projected net new employment will reach 2 million by 2025.
Svetlana Sicular, vice president of research at Gartner, said: "In the past, many major innovations have experienced the transition period that triggered a wave of unemployment, but then will recover and business transformation will follow. The future of artificial intelligence is likely to follow that path."
Artificial Intelligence will improve the productivity of many jobs, albeit with millions of lower- and middle-rank jobs, but also create more than a million highly skilled and managerial jobs, even those that are entry-level and low-tech Different types of work.
Sicular further states: "Those warning of a massive unemployment claim that they mostly confuse artificial intelligence with automation disguise the greatest benefit of artificial intelligence - the AI augmentation, a combination of the human brain and Artificial Intelligence, to complement each other.
In addition to focusing on estimated net new jobs, IT executives must consider which positions to replace or increase each time they invest in AI-related technologies and how this will change the way employees collaborate, make decisions and accomplish tasks.
Sicular said: 'Now is a good time to influence the long-term development of artificial intelligence, in order to get the most value, we must focus on how to use artificial intelligence to enhance manpower.In addition to enriching the content of human work, to re-think the old work items, And create new industries, but also change the corporate culture, so that companies can quickly adapt to the business opportunities brought by artificial intelligence and threats.
Artificial intelligence has been applied to highly repetitive work items to find patterns of fixation by extensive analysis of observations and decisions.On the other hand, artificial intelligence is also being applied to low-repetitive and highly variable low routines This is an application that is likely to assist rather than replace labor, as combining people and machines will be more efficient than simply hiring professionals or using artificial intelligence machines.
Gartner's other predictions for artificial intelligence impact workplaces include:
By 2022, one out of every five people who rely on non-routine work will rely on artificial intelligence to accomplish their tasks
Craig Roth, vice president of research at Gartner, said: 'Using artificial intelligence to automatically generate status reports weekly or to screen out the top five most important emails in the mailbox does not feel like the cure for the disease, but it's also noticed that these recent applications have not drawn much attention The reason companies are just beginning to use artificial intelligence to improve non-routine work and apply it to general-purpose tools.When knowledge workers to artificial intelligence into the workflow, as a virtual secretary or a graduate student, robotic workers will become The necessary conditions to enhance competitiveness.
Retailers will import technologies such as artificial intelligence and robotics to use intelligent process automation to identify and optimize labor-intensive and repetitive activities that are still performed by manpower, and to automate them. This will improve the company's headquarters and distribution center To store efficiency, thereby reducing labor costs.Many retailers have begun to expand the use of related technologies to improve the store checkout process.
It is difficult for multi-channel retailers to replace salespeople by artificial intelligence in 2022, but the cashier-related jobs will be severely affected
The study found that many consumers still prefer to interact with knowledgeable salespeople in physical stores, especially in areas such as home improvement and cosmeceuticals, where informed salespeople have a significant impact on customer satisfaction. While retailers will reduce their manpower to close activities related to other operations, they will find it hard to replace traditional sales consultants.
Robert Hetu, director of research at Gartner, said: "Retailers will save time by eliminating highly repetitive and transaction-related positions, but they must reinvest their money in personnel training to enhance the customer experience, so most retailers Will see artificial intelligence as a way of augmenting the customer experience rather than simply replacing it with the manpower needed in each process. "While many industries derive more business value from artificial intelligence, manufacturing is one of them The industries from which a large number of business opportunities are derived Automation will help reduce costs, eliminate resistance in the value chain and further improve revenue streams, such as the optimization of supply chains and product launches.
By 2021, the enhancement of artificial intelligence will generate a commercial value of $ 2.9 trillion, while recovering 6.2 billion hours of artificial productivity
However, some industries, such as outsourcing, are undergoing fundamental changes in their business models. The cost savings associated with artificial intelligence and the consequent increase in productivity must be re-invested in companies to promote reengineering and review of the company New business model.
Mike Rollings, vice president of research at Gartner, said: 'Artificial Intelligence can replace repetitive and monotonous work, giving people more than enough to engage in other activities. However, the symbiotic relationship between mankind and artificial intelligence is more nuanced and needs to be reinvested and rebuilt, not just Instead of using machines to replicate only the steps that people make to arrive at specific judgments, instead reconstruct the decision-making process as a whole, take advantage of the relative strengths and weaknesses of machines and humans to achieve maximum value and redistribute decision-making processes to enhance sensitivity.