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"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"Applying to some of the most common customer and food service jobs in the country now requires a long and bizarre personality quiz featuring blue humanoid aliens, which tells employers how potential hires rank in terms of "agreeableness" and "emotional stability." If you've applied to a job at FedEx, McDonald's, or Darden Restaurants (the company that operates multiple chains including Olive Garden) you might have already encountered this quiz, as all these companies and others are clients of Paradox.ai, the company which runs the test and helps them with other recruiting tasks."

"Instead of putting bank tellers out of a job, ATMs increased the demand for tellers by reducing the cost of operating a bank branch. The reduced cost of operating a branch meant that banks opened more branches and hired more tellers to operate them. Bank branches in urban areas increased by more than 40% (source) The counterintuitive nature of new technologies is such that they may eliminate certain jobs - or parts of those jobs - but they also create new jobs and empower workers in existing jobs to be more productive."

"What is in doubt is who will benefit from the boost to productivity. What if all the gains are seized by a handful of tech giants? What if history fails to repeat itself, and AI destroys more jobs than it creates? What if AI does lead to a net increase in employment, but the new jobs are less well-paid than the old ones? Put simply, what if it is different this time? That may well be the case. Much of the debate around the impact of AI is based on conjecture. There have been studies galore that have sought to estimate the number of jobs that will be affected - potentially running into the hundreds of millions globally - but nobody knows for sure. That said, certain conclusions can be drawn with a reasonable degree of confidence."

"The tools - which aim to cut the time and cost of filtering mountains of job applications and drive workplace efficiency - are enticing to employers. But Schellmann concludes they are doing more harm than good. Not only are many of the hiring tools based on troubling pseudoscience (for example, the idea that the intonation of our voice can predict how successful we will be in a job doesn't stand up, says Schellmann), they can also discriminate."

"Is AI going to take all of our jobs? The economy is always in a state of flux. In the 1800s, 80% of the labor force worked on farms; today it's 2%, but we don't have 78% unemployment. Entirely new industries may continue to spring up and offer new employment opportunities. Ironically, "smart manufacturing," which is partly AI, is touted by politicians on the right and on the left as critical to saving American manufacturing jobs. If AI makes businesses more efficient, contributing to growth of the economy, there will be more money to invest in new ventures. There are probably going to be entirely new sectors of the economy in 100 years that we can't even imagine right now. It's possible that total employment will fall, but economic growth will continue as we're able to produce more with less."

""After cutting me off, the AI would respond, 'Great! Sounds good! Perfect!' and move on to the next question," Ty said. "After the third or fourth question, the AI just stopped after a short pause and told me that the interview was completed and someone from the team would reach out later." (Ty asked that their last name not be used because their current employer doesn't know they're looking for a job.) A survey from Resume Builder released last summer found that by 2024, four in 10 companies would use AI to "talk with" candidates in interviews. Of those companies, 15% said hiring decisions would be made with no input from a human at all."

"Then the other difference is there's been some new research out about the effect that automation has been having in the economy. And it's shown that while for much of the 20th century, automation was creating new jobs faster than it was destroying old jobs, for the last few decades, the opposite has been true: Old jobs have been disappearing faster than new jobs have been created."

"Economists even have a term for it - the "lump of labor" fallacy. Innovation may destroy occupations but there is no fixed number of jobs and new ones take their place. Warehouse jobs, for example, replaced retail jobs as online shopping decimated shopping malls."

"If AI causes mass unemployment among the general populace, it will be the first time in history that any technology has ever done that. Industrial machinery, computer-controlled machine tools, software applications, and industrial robots all caused panics about human obsolescence, and nothing of the kind ever came to pass; pretty much everyone who wants a job still has a job. As Noah has written, a wave of recent evidence shows that adoption of industrial robots and automation technology in general is associated with an increase in employment at the company and industry level."

"Shapiro said that using ChatGPT can be "great" in helping applicants "brainstorm verbs" and reframe language that can "bring a level of polish to their applications." At the same time, she said that submitting AI-generated materials along with job applications can backfire if applicants don't review them for accuracy. Shapiro said Jasper recruiters have interviewed candidates and discovered skills on their résumés that applicants said shouldn't be there or characterizations they weren't familiar with. Checking the AI-generated materials to ensure they accurately reflect an applicant's capabilities, she said, is critical if they're using ChatGPT - especially if the applicant gets hired."

"Nelson said it's likely that AI will replace some jobs in Hollywood while also potentially creating more. He pointed to the entrance of computer-editing software, and how that replaced more manual movie-editing jobs and processes. "There are some jobs that might just go away entirely," he said. "There might be some pain, but through it all, I think there's just going to be more opportunities." Media and legal experts also said the use of AI in filmmaking raises several concerns - and the law is still unclear."

"He quit the same way he'd been given the job: through a WhatsApp message. He had neither a contract nor any documents regulating his employment. For Felipe, the plan to make a little quick money became a hellish experience. With TikTok's short-form video format, much of the audio that needed transcription was only a few seconds long. The payment, made in U.S. dollars, was supposed to be $14 for every hour of audio transcribed. Amassing the secondslong clips into an hour of transcribed audio took Felipe about 20 hours. That worked out to only about 70 cents per hour - or 3.85 Brazilian reals, about three-quarters of Brazil's minimum wage."

"The first paper turns the tables on the trend for job applicants to be screened by algorithms. The researchers assigned some applicants "algorithmic writing assistance" with their CVs or covering letters to see if it influenced employers' decisions. But obviously those of us who do lots of recruiting would never be affected by such small changes… would we? I'm afraid so. Jobseekers who had the tech help were 8% more likely to get hired. Sigh."

"When Reddit user Throwaway59724 had to start working from home because of Covid, they learned how to automate their IT job duties so they don't have to work more than 10 minutes a day to earn their "just-shy-of-90k" salary."

"Over the next few months, Lipkin's assignments dwindled. Managers began referring to her as "Olivia/ChatGPT" on Slack. In April, she was let go without explanation, but when she found managers writing about how using ChatGPT was cheaper than paying a writer, the reason for her layoff seemed clear. "Whenever people brought up ChatGPT, I felt insecure and anxious that it would replace me," she said. "Now I actually had proof that it was true, that those anxieties were warranted and now I was actually out of a job because of AI.""

"Their findings show that currently, only about 23 percent of wages paid for tasks involving vision are economically viable for AI automation. In other words, it's only economically sensible to replace human labor with AI in about one-fourth of the jobs where vision is a key component of the work. "

"Those changes happened relatively slowly, but it seems to me that employment disruption is accelerating. A large reason for this is that what used to be a room-sized super computer now fits in my pocket. Over the last two decades, I have observed a fundamental change in how we can apply advanced algorithms to sensing and controlling systems-the kinds of technology that enable more sophisticated robotic manufacturing. I can remember discussing various algorithms and believing they were well beyond what we could ever implement. Now these same algorithms are considered elementary. They are just some of the changes that have fueled the revolution in manufacturing."

"We are inured to the idea that professional environments have a built-in layer of surveillance, and now that this environment has merged with the home for many workers, some of these practices have started to look more extreme. But the discussion about surveillance should not start and end with the tools employers use to monitor people working from home. We should instead be asking: how necessary is any of this?"

"n many jobs, work email doesn't stop when the employee leaves the office. And now France has decided to act. It has introduced rules to protect about a million people working in the digital and consultancy sectors from work email outside office hours. Those are taken to be before 9am and after 6pm. The deal signed between employers federations and unions says that employees will have to switch off work phones and avoid looking at work email, while firms cannot pressure staff to check messages. "