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Automation in sentence

460 examples of Automation in a sentence

The whole point of automation is that, unlike Ken, Nexus will never negotiate a labor contract with Luke.
He thinks that slowing down automation and creating tax disincentives to counter technology’s displacement effect is, overall, a sensible policy.
To the extent that automation improves productivity and corporate profitability, the whole of society would begin to share the benefits.
In addition, as the economists Erik Brynjolfsson and Andrew McAfee of MIT have argued in their book The Second Machine Age, rapid advances in information technology may enable increasingly extensive automation.
Meanwhile, for some low-income countries, increased manufacturing and service-sector automation of the sort described by Brynjolfsson and McAfee, whether within advanced economies or within China’s established industrial clusters, will make the path to middle- and high-income status more difficult to achieve.
Britain’s flat productivity reflects a combination of rapid automation in some sectors and rapid growth of low-productivity, low-wage jobs – such as Deliveroo drivers riding around on plain old-fashioned bicycles.
But trade, on balance, has done much more good than harm, and the overwhelming majority of manufacturing-job losses in the developed world have resulted from technological advances like automation.
On the economic front, Macron must lubricate arthritic markets and lighten the tax and regulatory burden on risk-takers, while helping people to cope with disruptive trends like globalization and automation.
While some countries worry that automation is resulting in job losses, the MENA region’s failure to adopt new technologies is impeding job creation.
In fact, thanks to automation, Asia is likely to retain its manufacturing dominance, even after wages rise above the traditional levels of manufacturing-intensive economies.
They are concerned, for example, with how automation will affect the labor market.
Worse, policymakers often fail adequately to consider the potential environmental impact, and focus almost exclusively on the anthropogenic effects of automation, robotics, and machines.
Labor Markets in the Age of AutomationBERKELEY – Advances in artificial intelligence and robotics are powering a new wave of automation, with machines matching or outperforming humans in a fast-growing range of tasks, including some that require complex cognitive capabilities and advanced degrees.
As automation substitutes for labor in a growing number of occupations, the impact on the quantity and quality of jobs will intensify.
The activities most susceptible to automation in the near term are routine cognitive tasks like data collection and data processing, as well as routine manual and physical activities in structured, predictable environments.
The McKinsey report also found a negative correlation between tasks’ wages and required skill levels on the one hand, and the potential for their automation on the other.
On balance, automation reduces demand for low- and middle-skill labor in lower-paying routine tasks, while increasing demand for high-skill, high-earning labor performing abstract tasks that require technical and problem-solving skills.
As Michael Spence and I argue in a recent paper, skill-biased and labor-displacing intelligent machines and automation drive income inequality in several other ways, including winner-take-all effects that bring massive benefits to superstars and the luckiest few, as well as rents from imperfect competition and first-mover advantages in networked systems.
Mounting anxiety about the potential effects of increasingly intelligent tools on employment, wages, and income inequality has led to calls for policies to slow the pace of automation, such as a tax on robots.
More progressive tax and transfer policies will also be needed, in order to ensure that the income and wealth gains from automation are more equitably shared.
Because everywhere I look, leaders are repositioning their economies to ensure that technological change and automation are assets rather than liabilities.
Part of this is pure automation.
The expanding scope and diminishing costs of automation and additive manufacturing may affect labor-intensive functions globally, including in earlier-stage developing countries.
But similarly dire predictions of large-scale job destruction and high technology-driven structural unemployment accompanied previous major episodes of automation, including by renowned economists.
Germany’s Economic Road AheadMUNICH – The next German government will face economic-policy challenges in five key areas: digitalization and automation, demographic change, globalization, climate change, and European integration.
With digitalization also comes automation and robotization, which many fear will lead to job losses.
And yet the full-scale automation of agriculture did not lead to mass unemployment.
Taken together, these factors enable low-cost automation of ever more economic activities, driven by the high skills of only a tiny minority of the workforce.
After all, in a world where automation can free us from the drudgery of endless work, a good education will better equip us to live satisfying lives, regardless of whether it increases individual pay or measured prosperity.
If, on the other hand, labor’s share of income is falling because of the inexorable rise of automation, downward pressures on that share will continue, as I discussed in the context of artificial intelligence a few years ago.
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