Quotes About Automation

A machine evolves by becoming more efficient, that is, more foolproof; hence the objective of mechanical progress is a foolproof world—which may or may not mean a world inhabited by fools.

In a world where everything could be done by machinery, everything would be done by machinery.

the tendency towards mechanization which had become quasi-instinctive throughout almost the whole world

Babbage's Three Laws of Difference Engines First Law: A difference engine must have at least six cogs. Second Law: A difference engine must be able to operate a loom. Third law: A difference engine must be able to kill a man, should the mood so take it.

There is a lot of work out there to take people out of the loop in things like medical diagnosis. But if you are taking humans out of the loop, you are in danger of ending up with a very cold form of AI that really has no sense of human interest, human emotions, or human values.

For the blue-collar worker, the driving force behind change was factory automation using programmable machine tools. For the office worker, it's office automation using computer technology: enterprise-resource-planning systems, groupware, intranets, extranets, expert systems, the Web, and e-commerce.

Amid all the job losses of the Great Recession, there is one category of worker that the economic disruption has been good for: nonhumans.

I see three forces militating in favor of growing inequality: increasing measurement of worker value added, automation through smart software, and globalization.

The job market of the future will consist of those jobs that robots cannot perform. Our blue-collar work is pattern recognition, making sense of what you see. Gardeners will still have jobs because every garden is different. The same goes for construction workers. The losers are white-collar workers, low-level accountants, brokers, and agents.

There is no question that automation is - and has been since the start of the Industrial Revolution - displacing workers and creating disruption within the economy and labor market.

Whereas most technologies tend to automate workers on the periphery doing menial tasks, blockchains automate away the center. Instead of putting the taxi driver out of a job, blockchain puts Uber out of a job and lets the taxi drivers work with the customer directly.

Technology and robotics are advancing and will reduce the need for workers in the future.

Many of the technologies that are now racing ahead most rapidly, replacing human workers in factories and offices with machines, making stockholders richer and workers poorer, are indeed tending to accentuate the existing inequalities in the distribution of wealth.

As digital equipment replaces the jobs of routine workers and lower-level professionals, technicians are needed to install, monitor, repair, test, and upgrade all the equipment.

Many Western nations have made significant gains through automation and operational excellence, while emerging markets rely on ever-increasing numbers of workers. Each will improve their competitive position only by examining every element of operations to make existing resources more efficient and to deliver real value at lower cost.

With the revolution around 1980 of PCs, the spreadsheet programs were tuned for office workers - not to replace office workers, but it respected office workers as being capable of being programmers. So office workers became programmers of spreadsheets. It increased their capabilities.

If cheap immigrant labor is made unavailable, employers can hire Americans at a higher wage, or replace low-wage immigrant workers with technology and automation, which will create a smaller number of skilled jobs for Americans.

As hardware doubles its density every 18-24 months, courtesy of Moore's Law, and as software eats the world, technology will replace a broad swathe of jobs outright - from burger-flippers to diagnosticians - and atomize many others from full-time positions into gigs performed by many fungible workers. Tech, in short, will eat jobs.

Workers are basically supervisors of machines.

As more girls get basic schooling, larger numbers will move up the educational ladder - some to pursue science, technology, engineering, and mathematics. That's important because workplaces around the world, especially in many developing and emerging-market countries, are becoming more automated, favouring workers with technical skills.

Advances in automation, artificial intelligence and robotics, while increasing productivity, will also cause major upheavals to the workforce.

Industrial jobs are disappearing, and they will continue to disappear owing to productivity gains from automation. Thus, social models that were created to fit industrial and early service economies will no longer be viable. As the industrial workforce shrinks, the social model founded on it will go, too.

Automation is no longer just a problem for those working in manufacturing. Physical labor was replaced by robots; mental labor is going to be replaced by AI and software.

Warp speed developments in technology - automation, artificial intelligence, and the arrival of the sharing economy - are transforming how we work. Beyond technology, traditional working patterns are also being disrupted by changes in society, organizations and workforce management, leading to the rise of a more independent and dispersed workforce.