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"Analyst Brian Nowak estimates that the AI technology will have a $4.1 trillion economic effect on the labor force - or affect about 44% of labor - over the next few years by changing input costs, automating tasks and shifting the ways companies obtain, process and analyze information. Today, Morgan Stanley pegs the AI effect at $2.1 trillion, affecting 25% of labor. "We see generative AI expanding the scope of business processes that can be automated," he wrote in a Sunday note. "At the same time, the input costs supporting GenAI functionality are rapidly falling, enabling a strongly expansionary impact to software production. As a result, Generative AI is set to impact the labor markets, expand the enterprise software TAM, and drive incremental spend for Public Cloud services.""

"Japan, the world's fastest-aging economy, is turning to technologies like AI, avatars, and robots to address labor shortages. Industrial robots have been deployed to automate the assembly of reinforcement bars (rebar), one of the most labor-intensive processes in the construction industry. The trucking industry is turning to self-driving trucks for deliveries, and robots for moving cargo."

"Google illegally spied on workers before firing them, US labor board alleges"

"One of the oldest and most well-known iPhone suppliers has been accused of using forced Muslim labor in its factories, according to documents uncovered by a human rights group, adding new scrutiny to Apple's human rights record in China."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"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."

""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."

"First, lucrative state contracts are given to private corporations to build and deploy policing technologies that surveil and manage target groups. Then, using the vast amounts of biometric and social media data extracted from those groups, the private companies improve their technologies and sell retail versions of them to other states and institutions, such as schools. Finally, all this turns the target groups into a ready source of cheap labor - either through direct coercion or indirectly through stigma."

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

"As a society, we should care not just about how much innovation takes place, but also about the types of new technologies that are developed. We ought to ensure we are investing in technologies that are safe, environmentally sound, empower rather than simply replace human labor, and are consistent with democratic values and human rights."

"Former NSA contractor and whistleblower Edward Snowden says that tech workers need to think long and hard about how their labor is used by companies to amass power, surveil people, and fundamentally change society, and need to think about whether it is ethical to work at tech companies at all."

"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."

"The platformization of labor affects workers of all kinds, across platforms. On "click farm" platforms in Brazil, workers perform countless fragmented data tasks. They spend hours every day clicking, following, and commenting on social media accounts - and earning less than a penny for each task."

"Some experts see platforms like Appen as a new form of data colonialism, says Saiph Savage, director of the Civic AI lab at Northeastern University. "Workers in Latin America are labeling images, and those labeled images are going to feed into AI that will be used in the Global North," she says. "While it might be creating new types of jobs, it's not completely clear how fulfilling these types of jobs are for the workers in the region." Due to the ever moving goal posts of AI, workers are in a constant race against the technology, says Schmidt. "One workforce is trained to three-dimensionally place bounding boxes around cars very precisely, and suddenly it's about figuring out if a large language model has given an appropriate answer," he says, regarding the industry's shift from self-driving cars to chatbots. Thus, niche labeling skills have a "very short half-life." "From the clients' perspective, the invisibility of the workers in microtasking is not a bug but a feature," says Schmidt. Economically, because the tasks are so small, it's more feasible to deal with contractors as a crowd instead of individuals. This creates an industry of irregular labor with no face-to-face resolution for disputes if, say, a client deems their answers inaccurate or wages are withheld. The workers WIRED spoke to say it's not low fees but the way platforms pay them that's the key issue. "I don't like the uncertainty of not knowing when an assignment will come out, as it forces us to be near the computer all day long," says Fuentes, who would like to see additional compensation for time spent waiting in front of her screen. Mutmain, 18, from Pakistan, who asked not to use his surname, echoes this. He says he joined Appen at 15, using a family member's ID, and works from 8 am to 6 pm, and another shift from 2 am to 6 am. "I need to stick to these platforms at all times, so that I don't lose work," he says, but he struggles to earn more than $50

"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. "