Automating Property Management Processes Is No Longer Optional.

Robots can effect employment in a negative way,as said by the author Kelly “It may be hard to believe… 70 percent of today’s occupation will likewise be replaced by automation...even you will have your job taken away by machines”(Kelly Page.300), this quote comes to show the negative aspect of robots taking over the world in the near

In today’s America, with robots on the rise, many people are feeling as if machines are threatening their jobs, and therefore their income, way of life, and basic stability. This is not an unreasonable fear. In 2013, Carl Frey and Michael Osborne with the University of Oxford predicted at as many as half the jobs in the United States could be automated within the next twenty years (Frey and Osborne). Even in the 1930s, economists such as John Maynard Keynes, the creator of Keynesian economics, predicted that technological developments could create economic climate that allows for a 15-hour work week with plenty of free time for the average American worker by the year 2030 (Thompson). The American workforce is shifting towards this prediction

In reality property development is complex, often taking place over a considerable time frame. The end product is unique, either in terms of its physical quality and/or its location. The development process can be divided into multiple stages which are; Initiation, Evaluation, Acquisition, Design, Permission Commitment, Implementation and Let/manage/dispose.

In an age where technology is so advanced that robots replace humans in the workplace, it is no surprise that increasingly fewer Americans are considered full-time employees. While proponents of advancement argue that technology adds a high level job for every low level job it takes away, low class manufacturing jobs will not be the only newly-automated jobs. Due to rapid advancement, computers are projected to be one thousand times more powerful in the 2030s than computers today (McChesney and Nichols, 2016, 246). With these improvements, no human’s job is safe.

In “Better Than Human,” Kevin Kelly, Senior Maverick of Wired Magazine, insists that automation will allow us to become more human. When society grants automation the permission to complete the most menial tasks, it will allow individuals trapped in dead-end careers such as fastening bolts onto cars, to search for their true passions which only humans can accomplish. More people will be able to pursue jobs that robots, for now, can not complete with ease. Kelly believes that as artificial intelligence and the creators of it advance, more jobs will be created to fulfill society's growing needs. The simple tasks of assembling new machinery can be completed by the already established automation; while the job of developing software that controls

In her introduction, Barbara Garson gives the reader an idea of her personal work experience as a clerk with automation. One can see that Garson is a strong critique of automation. In order to convey how automation is affecting our society the author begins by analyzing and studying various jobs from the bottom on up (i.e. starting with the most unskilled labor).

The Land Registry came to the conclusion of employing a comprehensive system of e-conveyancing. The report produced a detailed outline of the anticipated model of e-conveyancing.

We have already seen a decrease in jobs due to automation. Since 2000, the United States has lost 5 million factory jobs, while from 2006 to 2013, manufacturing grew by 17.6% (roughly 2.2% a year). 88% of those jobs were lost due to “productivity growth,” cites a study by Ball State University. The study also found that all sectors grew in terms of productivity by at least 32% from 1998 to 2012 when adjusted for inflation, with computer and electronic products rising 829%. In fact, the researchers found: “If 2000-levels of productivity are applied to 2010-levels of production, the U.S. would have required 20.9 million manufacturing workers instead of the 12.1 million actually employed.” In summary, due to companies’ expenditures in automation and software, the output per U.S. manufacturing worker has doubled over the past two decades. Indeed, “the real robotics revolution is ready to begin,” according to the Boston Consulting Group, who predict “the share of tasks that are performed by robots will rise from a global average of around 10% across all manufacturing industries

Clients tend to make decisions upon the data provided through technology as opposed to experience and intuition. This aspect of real estate business is challenging for everyone involved

Huppke describes an email conversation with Professor Thomas Chamorro-Premuzic of University College London. The professor exclaims that “‘First, most people switch, from traditional employment to self-employment to avoid having a boss, yet that doesn’t mean they are able to manage themselves’” (Huppke 3). The professor further explains how “‘AI bosses will always be much cheaper than having a human boss’” (Huppke 3). This conversation with the professor views Huppke utilizing artistic proofs that appeal to the readers reasoning and common sense. By providing a rationale for this trend, such as lower financial costs for businesses, Huppke is effectively able to display the logic behind this trend and satisfy questions skeptical readers have. Overall, Huppke was able to illustrate sound reasoning for why AI are becoming a part of the

We live in the age of constant technological innovation and endless information; in which we are so connected and dependent on the technology we use that we sometimes don’t even realize how much we’re relying on it. In The Glass Cage by Nicholas Carr, Carr defines automation as, “the use of computers and software to do things we used to do ourselves,” and argues that there are daunting consequences to our reliance on technology (Carr 1). In his book, Nicholas Carr sets up three arguments related to automation, tacit knowledge, and the idea of work. His main arguments throughout the novel are that humans are overestimating the benefits of automation, losing tacit knowledge through our reliance on technology, and

We all love technology. In most cases, it helps make life easier, but it also comes at a price. As more jobs become automated, certain occupations will eventually disappear. At some point in the near future many or all jobs will be replaced by some type of automation or an intelligent machine of some sorts. But according to most media sites like BBC, CNN and many more have reported this will happen sooner than later. but what is the most shocking is taxi drivers, lawyers/paralegals are at risked of automation. What isn't as of a shock is nearly all factory workers and soldiers are at risk now, but in the near the whole medical field will soon be replaced by automation.

Introduction: Humanity has always struggled with the concepts of automation because of its lasting effects on people. While most would argue against automation in this classroom, I suggest instead that we accept it and allow it to become part of our lives. I have family members whose jobs have been replaced by automation, and I honestly think they are living a better life because of it. It will affect humans well in both the long and short term by allowing us to continue to push towards an optimistic future. I understand that this is a long way off, and I understand it will be a hard road but it is worth it.

In a recent study(pdf), economists Daren Acemoglu of MIT and Pascual Restrepo of Boston University try to quantify how worried we should be about robots. They examine the impact of industrial automation on the US labor market from 1990 to 2007. They conclude that each additional robot reduced employment in a given commuting area by 3-6 workers, and lowered overall wages by 0.25-0.5%. (Kopf)

Many people today are excited at the thought of machines that can work as if they were human. Pure fascination is driven by the idea of technology that is far beyond the average person’s mind. This intelligence being created can do monotonous jobs significantly faster than the average worker, go places that are hard to reach, and think better and faster compared to humans. Businesses are thrilled at the prospect of cutting down on their biggest cost, labor, and getting jobs done quickly and more efficiently. But for the common, middle-class, blue-collar worker, it could mean a loss of wages and a forced cross training into another field. In the wake of this extraordinary Artificial Intelligence within the construction industry, there are winners and losers.