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Automation in sentence

460 examples of Automation in a sentence

The European Union remains preoccupied with its own internal disputes, and the United States, under President Donald Trump, has abandoned multilateralism and weakened the institutions needed to solve complex challenges such as the threat of technological unemployment from automation.
The West’s relationship with Russia, the future of NATO, the Syrian civil war and refugees, rising right-wing populism, the impact of automation, and the United Kingdom’s impending departure from the European Union: all of these topics – and more – have roiled public debate worldwide.
One common explanation for the apparent decoupling of growth and employment is that technological advances, such as automation and robotics, have resulted in capital substituting for labor across the region’s economies.
Automation, Productivity, and GrowthBERLIN – It seems obvious that if a business invests in automation, its workforce – though possibly reduced – will be more productive.
In advanced economies, where plenty of sectors have both the money and the will to invest in automation, growth in productivity (measured by value added per employee or hours worked) has been low for at least 15 years.
The implication is that the economic logic equating automation with increased productivity has not been invalidated; its proof has merely been delayed.
That will remain true for high-value-added services that defy automation.
Although automation accounts for more of the decline in US manufacturing employment than does trade, China has developed a reputation as an economic predator.
In developed countries, globalization and automation have already produced significant shifts in labor markets and income distribution.
This demographic expansion is happening just as many existing jobs will be substituted by intelligent automation and AI.
That means mixing new capabilities (for example, automation) with ones that you already have (say, cutting machines) to enter completely different markets.
One likely objection to this proposal is that low-skilled labor will cost more, which could accelerate automation.
But the jobs automation displaced from the production sector would simply move to the leisure sector, because demand for domestic workers, waiters, gardeners, and the like would increase.
AI and automation have obvious implications for employment.
To begin with, as noted by the MIT economist David Autor, advances in the automation of labor transform some jobs more than others.
In addition to the changes being wrought by automation, the job market is being transformed by digital platforms like Uber that facilitate exchanges between consumers and individual suppliers of services.
Where would that lead if, over the next couple of decades, automation is going to make most such jobs obsolete?
While China is far more urbanized than India, it, too, is still trying to bring ten million people a year into its cities.Between jobs lost to automation and to lower-wage competitors such as Vietnam and Sri Lanka, integrating new workers is becoming increasingly difficult.
Similarly, electrification, automation, software, and, most recently, robotics have all brought major gains in manufacturing productivity.
In the 1960s and early 1970s, many believed that computers and automation would lead to widespread structural unemployment.
Later, developed economies’ labor-intensive manufacturing sectors began to face increased pressure from an increasingly competitive China and, more recently, automation.
And additional retraining programs are needed for workers whose jobs will disappear as a result of globalization and automation.
The impact of the most recent major wave of innovation (resulting from advances in information and communication technology) is fading, according to this view, while the impact of the emerging wave (powered by artificial intelligence, automation, and machine learning) has yet to materialize fully.
China’s population of 25-to-64-year-olds, by contrast, faces a possible fall from 930 million to 730 million, driving up real wages and creating powerful incentives for high investment in automation.
Job creation must be maximized in sectors less vulnerable to near-term automation: construction and tourism jobs may be more sustainable than manufacturing.
And in a world of radical automation potential, which threatens low wage growth and rising inequality, a rapidly growing workforce is neither necessary nor beneficial, and a slightly contracting supply of workers may create useful incentives to improve productivity and support real wage growth.
These benchmarks include research and development expenditures as a share of revenue, the number of patents registered, broadband coverage ratios, automation diffusion rates, reductions in energy intensity and CO2 emissions, and so forth.
Add to that the challenges posed by automation and robotization, not to mention increasingly frequent and intense natural disasters, and it is not hard to see why so many people are so furious.
Few commodities are out of reach for Chinese industry, because, unlike any other nation, it can simultaneously mobilize low-cost labor and high-tech automation.
After globalization made it easier to move manufacturing and service jobs from rich to poor countries, growing automation now threatens to move jobs from humans to robots.
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