<?xml version="1.0" encoding="utf-8"?> <rss version="2.0"> <channel> <title>Remote IT Jobs | Find Remote Tech Jobs Worldwide</title> <link>https://www.remoteitjobs.app</link> <description>Discover top remote IT jobs from leading tech companies. Search software development, DevOps, cybersecurity, and tech leadership positions. Apply to work-from-home tech jobs today.</description> <lastBuildDate>Mon, 09 Feb 2026 16:14:51 GMT</lastBuildDate> <docs>https://validator.w3.org/feed/docs/rss2.html</docs> <generator>https://github.com/jpmonette/feed</generator> <language>en</language> <image> <title>Remote IT Jobs | Find Remote Tech Jobs Worldwide</title> <url>https://www.remoteitjobs.app/images/logo-512.png</url> <link>https://www.remoteitjobs.app</link> </image> <copyright>All rights reserved 2024, RemoteITJobs.app</copyright> <category>Bitcoin News</category> <item> <title><![CDATA[Why AI Won't Replace Radiologists: The Ultimate Case Study in Human-AI Collaboration]]></title> <link>https://www.remoteitjobs.app/article/why-ai-wont-replace-radiologists-the-ultimate-case-study-in-human-ai-collaboration</link> <guid>why-ai-wont-replace-radiologists-the-ultimate-case-study-in-human-ai-collaboration</guid> <pubDate>Mon, 09 Feb 2026 13:15:14 GMT</pubDate> <description><![CDATA[Want to understand how **artificial intelligence** could change your job? Look to radiology as a clue. Radiology has become a recent talking point in the AI race. It was mentioned multiple times last month by tech executives at the World Economic Forum in Davos as well as in a White House whitepaper about AI and the economy. Radiology is far from being the only occupation impacted by AI, which is gradually integrating into the work of software engineers, teachers, and even plumbers, among many others. If widely adopted, Goldman Sachs estimates that advancements related to AI could displace 6 to 7% of the US workforce, although the technology is expected to create new jobs too. But the radiology field has become a **case study for how AI could enhance, and not replace, jobs**. The type of work in radiology is also ideal for AI assistance, said Dr. Po-Hao Chen, a doctor specializing in diagnostic radiology at the Cleveland Clinic. Radiology has plenty of available data for AI research and applications, which need copious amounts of data for training. AI can parse through troves of data much more quickly than human workers can, and it is already helping to speed up certain processes in radiology—for example, figuring out which scans need immediate attention. But human physicians are still required to do the bulk of the work—like making diagnoses, physically examining patients, and writing reports. And radiology jobs are projected to grow faster than roles in other areas as the field continues to embrace the tech. "(AI) is not only not replacing those workers, but it’s actually increasing the amount of work they can do and increasing demand for their services," said Jack Karsten, a research fellow at Georgetown’s Center for Security and Emerging Technology. "That’s sort of a bright future that the tech industry can point to as far as this is AI doing good in the economy." AI is very good at analyzing images and spotting patterns in data, both critical to radiology. And the field has been digitized for years, meaning there is an abundance of data, according to Chen. "There are smaller use cases that are analogue still, but in the US for the most part, every X-ray, every CT (scan), every MRI, can be available as zeros and ones," Chen said. Today, radiologists are using AI to help figure out which scans to prioritize, enhance image quality, and assist with summarizing reports, according to Dr. Chen and two other radiology experts who spoke with CNN. "It’s something that doesn’t replace anyone, that just makes our job more efficient and more meaningful," said Dr. Shadpour Demehri, who works in interventional radiology at Johns Hopkins Medicine. René Vidal, a professor in engineering and radiology at the University of Pennsylvania’s Penn Engineering department, views AI as particularly useful for capturing high-quality MRI scans with fewer measurements. That speeds up the process and allows more patients to be seen in the same amount of time. Other applications are being explored in research, such as using AI to measure the volume of a tumor or automatically populate reports, although they’re likely still far out, said Vidal. AI tools must be approved by the US Food and Drug Administration for medical use, which could take around eight years considering the development process and clinical testing, Vidal said. But those approvals are certainly happening: Of the 1,357 AI-enabled medical devices currently with FDA approval, 1,041 are for radiology. At the same time, radiology jobs seem to be growing. The Bureau of Labor Statistics projects employment in radiology will grow 5 percent from 2024 to 2034, which is higher than the average of 3% across all occupations. Data from Indeed provided to CNN also indicates there were more radiology jobs in 2025 compared to five years ago. Demand for imaging during the medical diagnosis process, along with an increased aging population, is likely driving the need for more radiology services, say the radiology experts who spoke with CNN. But that wasn’t always the thinking. Nobel Prize-winning computer scientist Geoffrey Hinton, also referred to as the godfather of AI, said in 2016 that "people should stop training radiologists now" because deep learning—a subset of AI that models how the human brain learns—would handle the job better in five to 10 years. Hinton said in an email to the New York Times last year that he spoke too broadly in those 2016 comments. Demehri recalls there being a sense of anxiety in the radiology field about AI replacing human roles around the 2015 and 2016 timeframe. Now, the technology is seen as a "second set of eyes," he said. Still, there are risks around bias and potential overreliance on AI, according to Chen. Unlike human radiologists, for example, AI can accurately predict a person’s race based on an X-ray, according to a 2022 MIT study, raising concerns about bias in diagnoses. Chen says he also worries about the temptation to make staffing decisions—such as replacing a doctor with a nurse or a subspecialist radiologist with a primary care doctor—if AI becomes advanced enough. That might work in some cases, but not for the majority of conditions that radiology is used for, like detecting cancer or deadly infections. "We have to understand that a lot of the performance of (the) algorithm comes from the fact that the automation output is reviewed by an expert," he said. "And together, this collaboration, if you will, between the machine and the expert is what makes the improvement real."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>radiology</category> <category>healthcare</category> <category>futureofwork</category> <category>technology</category> <enclosure url="https://media.cnn.com/api/v1/images/stellar/prod/ap19344577713636.jpg?c=16x9&q=w_800,c_fill" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[ChatGPT Reveals the Next Big Side Hustle Trends You Can't Miss in 2026]]></title> <link>https://www.remoteitjobs.app/article/chatgpt-reveals-the-next-big-side-hustle-trends-you-cant-miss-in-2026</link> <guid>chatgpt-reveals-the-next-big-side-hustle-trends-you-cant-miss-in-2026</guid> <pubDate>Sun, 08 Feb 2026 20:15:16 GMT</pubDate> <description><![CDATA[Leave it to the leading artificial intelligence (AI) chatbot to recommend its own tech base as the future of side hustles. However, with AI seizing jobs in every industry, ChatGPT’s predictive skills are spot on when it comes to upcoming trends in the gig economy. For many Americans, the days of relying on a single job for financial independence and creative freedom are long gone. More workers are choosing side hustle work than ever, fueled by the passion and skills they bring to the table. We asked ChatGPT to predict the next big side hustle, and here’s what it said about opportunities gaining serious traction in 2026 and beyond. ## AI-Powered Hustles and Microservices The potential for successful AI **side hustles** is limitless, but some gigs have much more earning power than others. According to NetCredit data, business, influencer and social media marketing strategy; content and video editing; and website, landing page and UX design are AI-related side hustles that are in demand and growing. Basically, any job that can uniquely apply AI to existing industries to do things faster, cheaper and with a personal touch will be highly sought-after. ## Mobile and Convenience-Based Services Speaking of a personal touch, when new technology begins to mesh with everyday life, people are drawn to preserve vital purpose-driven human connections. For example, the AI platform stated that search interest in mobile car washes has grown 276% recently. Keep your eyes and ears open to “real world” services like pet sitting, mobile bike repair and home organization, along with curated experiences that help build community bonds. ## Digital Product-Based Income All side hustles that involve AI-created digital content will be a boon to every small business and industry giant. This can include things like editing and template design, as well as anything involving embedding integrations (fusing AI in embedded systems to allow devices to process data and make decisions autonomously) and stable diffusion art (a deep learning model used for converting text to images). ## Micro-Consulting and Freelance Services Targeted, specialized side hustles are increasingly popular as consumers seek personalized experiences from people with actual experience. “This form of freelance consulting focuses on niche markets and small-scale projects, and it’s quickly emerging as a popular way for individuals to leverage their expertise and profit from their experience,” according to the entrepreneur supporters at Founder Club. ChatGPT suggested virtual sessions for resume building and marketing campaigns, as well as voiceover and audio branding, as examples. ## Sustainability and Niche Markets Both businesses and job seekers place a high importance on sustainability in today’s job market. The need for workers with “green skills” is growing as a result of government laws, investment trends and the push for accountability by younger generations. “Vintage, thrift resale, plant-based or organic creations, [and] green consulting all tap into rising eco-conscious consumers,” ChatGPT explained. Likewise, ChatGPT suggested that opportunities will be plentiful for those providing niche services to under-resourced communities, like tech support for the elderly and culturally focused content. AI has been supporting these high-loyalty, less competitive areas for years and will continue to expand into new applications — and side hustle opportunities — in the future. Cooking up the next big side hustle won’t include a hidden recipe. It will use new technology to solve old problems, foster real-world connections in a digital era and market personal experiences to audiences through AI application. This is good news for observant and open-minded entrepreneurs who stand to thrive in the perpetually developing hustle economy.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>sidehustle</category> <category>gigeconomy</category> <category>futureofwork</category> <category>techtrends</category> <enclosure url="https://s.yimg.com/ny/api/res/1.2/sOr6zBmXVpbR3ibzFS4O9Q--/YXBwaWQ9aGlnaGxhbmRlcjt3PTEyMDA7aD02NzU-/https://media.zenfs.com/en/aol_moneylion_410/33590a28fc664b878150826feef7ffe8" length="0" type="image/com/en/aol_moneylion_410/33590a28fc664b878150826feef7ffe8"/> </item> <item> <title><![CDATA[Unlock Your Future: The 5 Hottest Tech and AI Careers Booming in 2026]]></title> <link>https://www.remoteitjobs.app/article/unlock-your-future-the-5-hottest-tech-and-ai-careers-booming-in-2026</link> <guid>unlock-your-future-the-5-hottest-tech-and-ai-careers-booming-in-2026</guid> <pubDate>Sat, 07 Feb 2026 20:15:22 GMT</pubDate> <description><![CDATA[As the tech industry goes all-in on **artificial intelligence**, you might not be surprised to learn that some of the most in-demand U.S. jobs focus on AI engineering, consulting, and researching. The spotlight has been on major tech companies like **OpenAI**, **Meta**, **Microsoft**, and **Google** trying to achieve market dominance with the right talent. Still, smaller firms and startups, along with non-tech businesses, need high-quality AI professionals, too. The search is also on for skilled individuals who can look beyond the initial adoption of AI and the first wave of integration and product launches. “Organizations are increasingly pairing technical AI roles with human-centered, governance, and operational titles,” Christina Mancini, CEO of Black Girls Code, told Mashable. Mancini said the shift reflects a move from organizations simply experimenting with AI to using it deliberately and responsibly. That trend is evidenced by rapidly growing interest in hiring AI consultants and strategists. That role, along with four other tech titles, recently appeared on **LinkedIn's annual roundup of the 25 fastest-growing roles** in the country: ## 1. AI Engineers The fastest-growing role in the U.S., according to LinkedIn? **AI engineer**. There are a wide variety of applications for artificial intelligence, from powering robotic systems to developing the complex algorithms that drive generative chatbots. An AI engineer can build models capable of performing tasks, along with the required production infrastructure. AI engineers should expect to draw on extensive technical knowledge for building AI agents, optimizing large language model output, and neural network training. They should also have comprehensive mathematical and statistical skills, LinkedIn notes. Coursera estimates the role's annual income at **$145,080**, based on Bureau of Labor Statistics data. ## 2. AI Consultants and Strategists The second-fastest growing position in the U.S. focuses on organizational implementation of AI, according to LinkedIn. Consultants and strategists with key expertise in fields like computer science and artificial intelligence, plus business acumen, may succeed in these roles. Their job, according to LinkedIn, is to help businesses implement AI in ways that make them more efficient and strategic. This can involve project management, long-term planning, and developing ethical and responsible practices. Self-employed consultants may charge by the hour (upwards of $300) or by project, according to LinkedIn. While salaries vary, LinkedIn estimates entry-level consultants can earn between **$60,000 and $100,000**. Those with much more experience may make more than **$200,000 a year**, according to LinkedIn. ## 3. Data Annotators Building and training a machine learning model often requires data annotators, also known as content analysts. Ranked as the fourth top-growing job by LinkedIn, this role is in high demand as companies rely on data annotators to evaluate metadata or raw data with labels or tags. These annotations provide context for the articles, social media posts, customer reviews, images, and videos used to train AI models, allowing them to communicate more accurately. While entry-level data annotators may earn **$20 per hour**, those with AI expertise or experience handling specialized content, like medical data, can earn **$100 to $180 an hour**, according to LinkedIn. ![Top tech jobs for 2026 include AI engineers, AI consultants, and data annotators.](https://helios-i.mashable.com/imagery/articles/00VhM9jbjqTINjoHSZBBh9o/images-1.fill.size_2000x1125.v1769625826.jpg) ## 4. Artificial Intelligence and Machine Learning Researchers Alongside massive financial investments, private research roles have boomed as institutions expand internal teams dedicated to the progression of generative AI. Tasked with designing and testing new models, algorithms, and future applications of generative AI, these research positions take LinkedIn's fifth spot among the fastest growing roles in the U.S. According to Apple, their AI/ML research team studies the technology, publishes their research, and hosts and attends conferences on deep learning. Google currently has more than **1,700 job listings** for roles across its research teams, including research engineers and scientists dedicated to AI in security and privacy, advertising, search, and machine learning optimization. According to LinkedIn's findings, the majority of these roles are offered in tech hubs: **San Francisco, New York City, and now Boston**. The gender divide is fairly stark, too: 74 percent of spots in this field are held by men, with an average of three years of prior experience. And the median salary is in the six figures, with Zip Recruiter putting it at **$130,000 per year**. ## 5. Data Center Technicians In 2025, **$61 billion** went toward the infrastructure of data centers operating around the world, according to a report by S&P Global. Due in part to the energy-intensive demands of generative AI, these data centers are funded by major tech companies and a precarious model of private equity debt, according to the S&P Global report — they are also supported bureaucratically by the federal government. Hardware specialists, including technicians tasked with overseeing the new facilities and their server networks, are in demand. These positions require physical and technical skill — they have to install and maintain servers, organize cable patch plans, and constantly monitor the vast network they physically build for people around the world to utilize. According to LinkedIn's report, most employees in these roles were previously in IT or data center operations and career sites like Glassdoor put their median salaries around **$68,000**. A majority of roles are based in the **Washington, D.C. metro area, Atlanta, and Columbus, Ohio** — areas that overlap with growing data center hubs across the U.S.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>techjobs</category> <category>careergrowth</category> <category>machinelearning</category> <category>datascience</category> <enclosure url="https://helios-i.mashable.com/imagery/articles/00VhM9jbjqTINjoHSZBBh9o/hero-image.fill.size_1200x675.v1769625826.jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Is AI Stealing Your Job? Laid-Off Tech Workers Share Their Fears and Future Plans]]></title> <link>https://www.remoteitjobs.app/article/is-ai-stealing-your-job-laid-off-tech-workers-share-their-fears-and-future-plans</link> <guid>is-ai-stealing-your-job-laid-off-tech-workers-share-their-fears-and-future-plans</guid> <pubDate>Sat, 07 Feb 2026 13:15:22 GMT</pubDate> <description><![CDATA[![Laid-off workers questioning AI's role in job cuts](https://i.insider.com/698662a4e1ba468a96ab9e5d?width=700) *Ian Carter (left), James Hwang (center), and Joe Friend (right) are among the laid-off workers who've questioned whether AI played a role in their job cuts.* **Feb 7, 2026, 9:54 AM GMT+1** When Kent Ha was laid off from his digital marketing role at Intel last July, he'd been mentally preparing for the possibility that his job could be cut — in part due to AI. Prior layoff rounds had left him concerned about his job security. Plus, earlier that year, Intel announced plans to outsource much of his division's work to Accenture, which it said would use AI to enhance its marketing efforts. "That made it seem even more likely that our group would be hit," said Ha, who's in his 30s and based in Portland, Oregon. Over the past year, I've spoken with dozens of white-collar workers who had recently been laid off — and were left wondering why. Those who weren't aware of any personal performance concerns pointed to a variety of possible explanations, including cost-cutting, the Great Flattening, and pandemic-era overhiring. And one question came up over and over: **Is AI to blame?** As companies pour money into AI, it remains unclear if the technology will replace jobs — or create new ones. While some have signaled that replacing human employees is the goal, others haven't been as clear. Instead, they've cut jobs while simultaneously funding significant AI investments, leaving workers to connect the dots. US employers cited AI as responsible for nearly 55,000 planned layoffs last year, per Challenger — up from about 17,000 combined in the two years prior. As pressure mounts to show returns on AI investments, companies may respond by tightening performance standards — and ultimately, shedding the workers who can't keep up. Still, most companies stop short of pointing the finger at AI. A Microsoft spokesperson previously told Business Insider the company was focused on reducing management layers and streamlining processes. Amazon also cited efficiency and culture as a reason for cuts. Regarding the layoffs that affected Ha, an Intel spokesperson said the company is "taking steps to become a leaner, faster and more efficient company." The workers puzzling out AI's role in their layoffs aren't just trying to process the news — they want to better assess what they're up against in today's job market. To thrive in an AI-driven future, they know they may need to learn new skills and explore new roles. They just want to know if the future they've been fearing has already arrived. ## AI's Impact is Top of Mind for Workers Navigating Layoffs When Joe Friend learned in May that he, along with thousands of others at Microsoft, had lost their jobs, he "wasn't entirely surprised by the layoffs," he said. "I was surprised to get caught up in them." Friend, who's in his 60s and lives in Washington state, was a director of product management overseeing a team of nine. He said he saw speculation online that the layoffs were tied to productivity gains from Microsoft's AI investments — that AI had effectively "eaten" people's jobs. However, he said he hadn't seen much evidence that AI was significantly boosting productivity — and suspects the cuts were more about freeing up money for those investments. "I think these are cuts to offset the huge expenditures that are being made into the structure for AI," he said. "So in that way, AI has eaten your job, but not in terms of AI creating productivity gains." Ian Carter, another laid-off Microsoft worker, also pointed to the company's large investments in AI, as well as what he saw as overhiring during the pandemic. While pursuing roles similar to his former technical program manager position, he also began developing his AI skills — noting that job postings increasingly signaled demand for that expertise. Which jobs will be most vulnerable to AI takeover has been a topic of speculation for years. James Hwang, who lost his Amazon job in October, said he knew that his role — providing IT support for Amazon employees — could be at some risk of automation. Plus, last June, Amazon CEO Andy Jassy said he expected AI-driven efficiency gains would eventually lead to a smaller workforce. Still, while Hwang's team had started using AI to help troubleshoot issues, he didn't think the tech was there yet. He's currently applying to similar IT support roles and hasn't shifted his job search strategy in response to AI concerns. "Amazon is not at that stage yet where AI can do our job," said Hwang, who's in his 20s and lives in Michigan. "For us, AI is a tool, because there needs to be a human touch for support." Friend and Hwang are among several laid-off workers who told Business Insider they believe AI's role in their cuts had less to do with automating jobs and more to do with freeing up cash, in part to fund AI investments. But in the end, the financial impact is the same for those who lost their jobs. Going forward, Friend said he plans to be highly selective about his next role, as he believes job security is becoming harder to find in the tech industry. ## Whether AI Took Their Job or the Budget, It May Be Time for a Career Reinvention Laid-off workers who wonder whether AI played a role in their job loss may never get a clear answer. A company's decision to conduct layoffs is often shaped by a mix of factors — from financial pressures to shifting priorities. And even when leadership offers an explanation for the cuts, it may reflect only part of the story — shaped as much by messaging strategy as by internal reasoning. Ninety percent of analysts surveyed recently by Goldman Sachs said AI hadn't yet affected employment levels at the companies they cover — but 60% expected it to drive lower employment over the next five years. Amid this uncertainty, some laid-off workers have decided to build AI skills to prepare for the evolving job market. In his prior role in product at a software development company, Lee Givens Jr. saw colleagues leave for firms eager to shell out big salaries for AI talent. So when was laid off in 2023, he began thinking about how to better position himself in a tech industry that had clearly shifted toward AI. Givens Jr. decided to study AI frameworks relevant to his field, hoping it would make him a more attractive candidate. He said he believes that investment paid off, helping him later land a staff product manager role at a Toyota subsidiary, where he's now putting his AI knowledge to work. "When there's a major technological shift — like the rise of the internet or AI — you have to reinvent yourself," he said.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>layoffs</category> <category>techjobs</category> <category>career</category> <category>automation</category> <enclosure url="https://i.insider.com/698662d5d3c7faef0ecdd6fe?width=1200&format=jpeg" length="0" type="image//698662d5d3c7faef0ecdd6fe"/> </item> <item> <title><![CDATA[Tech Stocks Tumble: AI Spending Fears and Jobs Data Spark Market Selloff]]></title> <link>https://www.remoteitjobs.app/article/tech-stocks-tumble-ai-spending-fears-and-jobs-data-spark-market-selloff</link> <guid>tech-stocks-tumble-ai-spending-fears-and-jobs-data-spark-market-selloff</guid> <pubDate>Fri, 06 Feb 2026 13:15:14 GMT</pubDate> <description><![CDATA[US stocks continued their slide on Thursday, driven by a sharp decline in technology shares and concerning private jobs data that reignited fears of an economic slowdown. ### Market Performance The **Nasdaq 100 Index** dropped 1% by 1:40 p.m. in New York, after falling as much as 1.8% earlier in the session. The **S&P 500 Index** also fell 1%, while the **Cboe Volatility Index** hovered around 21. Michael Kantrowitz, chief investment strategist at Piper Sandler, noted, "I think we’re seeing the unwind of a three-year economic and market bifurcation that’s beginning to broaden out." Scott Wren of Wells Fargo Investment Institute pointed out that the S&P 500 is testing the 100-day moving average, with real support at 6,550 and the 200-day moving average at 6,460. "Near those are levels where we want to commit funds if you have time on your side," he added. ### Tech Rout Deepens The selloff in tech stocks intensified, with **Alphabet Inc.** falling 2.4% as investors reacted negatively to the company's ambitious capital spending plans for the year. The Google parent emphasized that massive investments in **artificial intelligence**—including new infrastructure, research, and talent—are crucial to compete against rivals like **Amazon.com Inc., Microsoft Corp., and OpenAI**. ![tech rout gets deeper](https://www.advisorperspectives.com/images/content_image/data/59/5913667e45f67952a13088c1734623d2.png) Alphabet's results added to the growing unease around tech stocks, with a rotation out of the sector, particularly in software names, continuing for a third straight session. Nancy Tengler, CEO and chief investment officer of Laffer Tengler Investments, compared the selloff to the "DeepSeek to Liberation Day rout in technology" that occurred in early 2025. Investors are increasingly skeptical of Big Tech's swelling AI budgets. While some companies, like **Meta Platforms Inc.**, have managed to win over investors with their spending plans, others—such as **Tesla Inc. and Microsoft**—are facing more resistance. Bloomberg’s gauge for the **Magnificent Seven** tumbled 1.5% on Thursday, with Amazon set to report earnings after the bell. Kantrowitz explained, "Everybody was pushed into the same stocks, now we’re seeing broader macro and earnings data, so investors have alternatives to put their money. There are more questions on the technology and AI trade earnings and valuations while parts of the economy and market that had been weak for three years are coming back to life." ### Jobs and Earnings Impact Labor market data further weighed on stocks. Job openings unexpectedly declined in December to the lowest level since 2020, and layoffs edged up, according to the Bureau of Labor Statistics. New data from **Challenger, Gray & Christmas Inc.** showed that companies announced the largest number of job cuts for any January since the depths of the Great Recession in 2009. Additionally, applications for unemployment benefits exceeded estimates last week as severe winter weather curtailed business activity. Initial claims increased by 22,000 to 231,000 in the final week of January. Vishal Vivek, a strategist on Citigroup’s trading desk, commented, "All three missed, and while none are critical, it’ll incrementally weigh on the US growth story, which is the key driver of cyclicals, which have basically held up equities year to date." ### Company-Specific News - **Qualcomm Inc.**, the largest smartphone processor maker, dropped 7.8% after providing a lackluster revenue forecast. - **Estée Lauder Cos.** plunged 20% as its profit view failed to reassure investors about its turnaround pace. - **Elf Beauty Inc.** advanced after boosting its adjusted Ebitda guidance for the full year, with analysts highlighting strong performance in the newly-acquired Rhode. Crypto-linked stocks extended losses as Bitcoin slumped to its lowest level since 2024. An unwinding of leveraged bets and broader market turbulence has deepened a selloff that has hammered cryptocurrencies over the past three weeks. Julian Emanuel, chief equity and quantitative strategist at Evercore ISI, noted, "Stocks are nervous in the wake of continued selling in assets that have already crashed—silver, gold, crypto. And hedge funds are actively degrossing."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>techstocks</category> <category>ai</category> <category>market</category> <category>jobs</category> <category>investing</category> <enclosure url="https://www.advisorperspectives.com/articles/thumbnails/c4de97bf1f65d0bced9cdeb5486c016fecf6cefa.png" length="0" type="image/png"/> </item> <item> <title><![CDATA[From 1.0 GPA to $150K at American Express: How Free Tech Training Transformed Lives]]></title> <link>https://www.remoteitjobs.app/article/from-10-gpa-to-150k-at-american-express-how-free-tech-training-transformed-lives</link> <guid>from-10-gpa-to-150k-at-american-express-how-free-tech-training-transformed-lives</guid> <pubDate>Fri, 06 Feb 2026 20:15:13 GMT</pubDate> <description><![CDATA[Angel Juarez was 19, working part-time at Michaels crafts store, earning less than $15,000 a year and struggling to make ends meet. One night, he couldn't even afford sauce for his spaghetti. "I was pretty dejected that whole night. I just couldn't sleep because I was nervous about rent," Juarez told Fortune. Scrolling through Facebook, he saw an ad for **free tech training** from the nonprofit **Per Scholas**. "It said 'free', so I was like, 'okay, I'm gonna do that,'" he said. Eight years later, Juarez, now 27, is a **software engineer at American Express** making **$150,000 a year**. This is despite having a **1.0 GPA in high school**—"which is about the worst you could do possible"—because he felt school was "just making me a number." "I don't really even know what [my life] would have been without Per Scholas," he said. "They made me feel like a whole person unto myself." ## Rigorous Training to Prepare for Tech Industry Per Scholas has been bridging the skills divide for 30 years, training more than **30,000 people across the U.S.** in 25 cities in 19 states. Their alumni work at companies like **Google, Amazon, Wells Fargo, and American Express** as software engineers, IT technicians, and systems administrators. The key to their model is a **rigorous 16-week training schedule** with courses from 9 a.m. to 4 p.m., plus hours of homework. Four days focus on technical skills like **HTML, CSS, JavaScript, and Ruby**, while one day is devoted to professional development. "We have high expectations because we know that every single one of our learners can meet and exceed them," said Per Scholas President Caitlyn Brazill. "That's what it will take for them to get to their own career goals." All courses include an **AI training component** to prepare students for modern workplaces. They also work directly with employers like **Bank of America and Comcast** to tailor training for local job markets. ## A Focus on Economic Mobility and Upskilling The Per Scholas median learner is 30 years old, with 85% being people of color and 40% women. **Technology offers an average annual salary of $104,556**, but the industry often lacks diversity—in 2021, only 8% of U.S. tech jobs were held by Latino Americans and 7% by Black Americans. Per Scholas addresses this by providing **free training to low- and moderate-income adults**. Before attending, learners have an average income of **$20,085**; afterwards, they earn nearly **three times more at $54,606 a year**. In total, Per Scholas alumni have increased their earnings by about **$35 billion**. **Success Stories:** - **Robert Davis**, 38, went from retail and railroad work to a software developer role after a 15-week full-stack course. - **Kenetra Woods** increased her income by 40% to $28 an hour as a systems administrator, allowing her to work from home and care for her son with autism. - **Amber Braaten**, a mother of seven, went from being out of work to earning more than her husband as an infrastructure analyst. Per Scholas has an **85% graduation rate**, and **80% of graduates find full-time employment within one year**. They also offer upskilling programs, with participants earning **32% more** after additional training. "It's clear to me that we're helping people get and stay on a positive upward trajectory," Brazill said. "That's what they're looking for, and the reason they come to us in the first place."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>tech-training</category> <category>career-transition</category> <category>software-engineering</category> <category>diversity</category> <category>upskilling</category> <enclosure url="https://fortune.com/img-assets/wp-content/uploads/2026/02/Copy-of-20190625-132002-_DSC4857-scaled-1.jpg?resize=1200,600" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[AI Job Apocalypse: Plumbers Now Outearn Entry-Level Techies in India]]></title> <link>https://www.remoteitjobs.app/article/ai-job-apocalypse-plumbers-now-outearn-entry-level-techies-in-india</link> <guid>ai-job-apocalypse-plumbers-now-outearn-entry-level-techies-in-india</guid> <pubDate>Thu, 05 Feb 2026 20:15:13 GMT</pubDate> <description><![CDATA[## The Irony of India's Labor Market The fear that **artificial intelligence (AI)** could hollow out technology jobs is arriving at a moment of deep irony in India’s labor market. Entry-level tech professionals, once symbols of upward mobility, are now being out-earned by home service workers on gig platforms such as plumbers and electricians—a reversal that would have seemed unimaginable a decade ago. Against this backdrop, a dramatic global selloff triggered by Anthropic’s latest AI release has sharpened anxieties about whether the tech sector itself is heading toward a reckoning, and whether entry-level white-collar jobs will bear the brunt of it. ## The "SaaSpocalypse" Triggered by Claude Cowork On Wednesday, the launch of **Claude Cowork** by AI giant Anthropic set off what brokerage firm Jefferies described as a “SaaSpocalypse.” Global software stocks lost an estimated $285 billion in market capitalization as investors reacted to the implications of the new tool. Cowork allows multiple humans and AI agents to collaborate in a shared digital workspace, automating workflows across legal, sales, marketing, and data analysis. Market fears stemmed from the belief that such agentic coworkers could replace human employees, and potentially the software companies that sell tools to them. ## India’s Entry-Level Squeeze These global anxieties intersect sharply with India’s domestic realities. Entry-level tech salaries in India are already low, and evidence is emerging that technology professionals are being outpaced by skilled manual and service workers. Home services platform Urban Company (UC) has said its partners earned an average net income of Rs 28,322 per month during the first nine months of FY26, according to its Partner Earnings Index released on Wednesday. In a post on X, Abhiraj Singh Bhal, cofounder and CEO of Urban Company, said the data points to a “quiet but important shift toward dignified, skill-based work.” He added that these earnings are well above statutory minimum wages and on par with or better than entry-level IT salaries. Urban Company said entry-level IT and ITeS salaries are assumed at Rs 4 lakh per annum, based on publicly available industry data including Glassdoor estimates. The earnings gap widens at the top end of UC’s workforce. The top 20% of service professionals earned an average Rs 42,418 per month, the top 10% earned Rs 47,471, and the top 5% earned Rs 51,673. In this context, AI-driven disruption threatens not just job security but the economic rationale of pursuing entry-level tech roles at all, particularly if automation suppresses wages further or eliminates junior positions altogether. ## 6 to 12 Months: Amodei’s Stark Timeline The tech stock selloff amplified attention on statements made by Anthropic founder and CEO Dario Amodei, who has been unusually blunt about AI’s labor implications. Speaking recently at the World Economic Forum, Amodei said, “We’re 6 to 12 months from AI doing everything software engineers do.” His remarks reflect a broader view that AI is no longer just augmenting technical work but rapidly approaching full substitution across many white-collar roles. Amodei has repeatedly warned that significant job cuts could occur within five years, particularly affecting entry-level roles in technology, finance, law, and consulting. He has urged consumers and US lawmakers to prepare for this shift, while criticizing governments and AI companies for “sugar-coating” what he sees as an unavoidable reality. “Most of them are unaware that this is about to happen. It sounds crazy, people just don’t believe it,” he said. In a recent article, Amodei sharpened the forecast further. “My prediction for 50% of entry level white collar jobs being disrupted is 1-5 years, even though I suspect we’ll have powerful AI (which would be, technologically speaking, enough to do most or all jobs, not just entry level) in much less than 5 years,” he wrote. Industry observers echo this concern, warning that as agentic systems mature, they could move beyond junior roles and begin displacing mid-level jobs in consulting, IT services, legal process outsourcing, and corporate services. ## Why AI Job Disruption May Differ from Previous Ones Amodei argues in his recent article that AI differs fundamentally from previous waves of automation. While mechanized farming and industrial machinery displaced workers in specific sectors, they also created new industries that absorbed labor elsewhere. AI, he suggests, may not follow this pattern. Amodei identifies three defining features. The first is **speed**: AI progress is unfolding far faster than past technological disruptions, giving workers and labor markets little time to adapt. The second is **cognitive breadth**. Unlike tools that automated narrow tasks, AI systems are increasingly matching humans across a wide spectrum of mental work, from coding and legal analysis to strategic reasoning. The third is **general labor substitution**. If AI can perform many cognitive tasks, it may also take on the new jobs that traditionally emerge after automation, compressing the labor market rather than reshaping it. These features undermine the traditional promise of retraining. If AI systems can quickly learn new skills at scale, displaced workers may find that the expected new jobs of the future are automated almost as soon as they appear. ## Transformation, Not Extinction? Despite the alarm, leaders in India’s IT services sector argue that AI will reshape work rather than erase it. Cognizant chief executive Ravi Kumar S struck a more measured tone at the company’s earnings briefing. “Any disruption will ‘take away jobs of the past and create jobs of the future’,” he said. “Old software will get modernized, and technical debt on enterprise landscapes will be rejigged. But tech service companies have yet to capture the ‘drift value’ from AI-infrastructure companies, leaving room for system integrators to grow and evolve towards an ‘AI builder’ strategy.” Happiest Minds Technologies chairman Ashok Soota echoed this view, as quoted in a recent ET report. He said all platforms and plugins will expand, not diminish, the role of services companies. Innovations such as Cowork lower barriers to building software but increase the need for firms that can guide enterprises through large-scale transformation, integration, governance, and orchestration, said Soota, a Wipro veteran who cofounded Mindtree. In the counter perspective, tools like Claude Cowork are not job killers but catalysts, shifting demand toward higher-order skills in AI architecture, compliance, and organizational change management. The tension between these two narratives—mass displacement versus structural evolution—defines the current moment for the global tech workforce. What makes the debate especially urgent in India is the new reality of entry-level employment, where salaries are already under pressure and alternative forms of skilled work—such as plumbers and electricians—are becoming more remunerative.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>techjobs</category> <category>automation</category> <category>india</category> <category>futureofwork</category> <enclosure url="https://img.etimg.com/thumb/msid-127934081,width-1200,height-630,imgsize-51180,overlay-etcareers/articleshow.jpg" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Will AI-Powered Robots Steal Your Trade Job? The Shocking Truth About Physical AI]]></title> <link>https://www.remoteitjobs.app/article/will-ai-powered-robots-steal-your-trade-job-the-shocking-truth-about-physical-ai</link> <guid>will-ai-powered-robots-steal-your-trade-job-the-shocking-truth-about-physical-ai</guid> <pubDate>Thu, 05 Feb 2026 13:15:14 GMT</pubDate> <description><![CDATA[## The Rise of Physical AI: A New Frontier in Job Displacement **The sudden boom in robotics and artificial intelligence** is fueling widespread fear that soon, **no jobs will be safe from displacement**. While AI has already begun disrupting office roles by analyzing data and drafting documents, the next wave could target **blue-collar jobs**—a sector once considered secure due to AI's inability to perform physical labor. Recent advancements in robotics suggest it's only a matter of time before **AI-powered machines** can repair pipes, operate bulldozers, and prepare food. This shift introduces a host of new policy challenges for lawmakers and unions to address. "It's a whole other challenge on top of the large language models," said Dan Reynolds, assistant research director at the Communications Workers of America Union. "Having an automated system interacting with the real physical world is a separate mountain to climb." ## The AI Industry's Rapid Move into Robotics **The ChatGPT moment for physical AI is here**, declared Nvidia CEO Jensen Huang at CES last month. The AI industry is swiftly integrating technology into robotics, prompting unions representing trade workers to proactively address this "physical AI" trend. Their goal is to mitigate the disruptions already seen in white-collar industries like software development and finance. However, preparing for labor displacement that hasn't yet occurred presents significant challenges. "Our concern right now is [AI robotics] is just moving too quickly," said David White, director of strategic resources at the International Association of Machinists and Aerospace Workers. "It makes it difficult to plan for how this is actually going to affect workers." ## Union Strategies and Federal Initiatives Unions are increasingly worried that current shifts in white-collar work could foreshadow impacts on jobs outside the office. "White collar work will probably be the first tranche, but every job across sectors will be impacted," stated AFL-CIO President Liz Shuler. In response, unions are pushing for AI bills in California, including provisions for advanced notices of AI-related job cuts to protect workers across various labor sectors. On the federal level, Congress and the Trump administration are focusing on leveraging the AI boom to develop the robotics industry. A bipartisan House group recently unveiled a plan for a national robotics strategy, while Commerce Secretary Howard Lutnick has engaged with companies to foster industry growth. However, a nationwide shift to robotics could conflict with the administration's goal of boosting blue-collar manufacturing jobs. ## Proactive Measures and Contract Negotiations Union representatives are working to preemptively introduce protective language into labor contracts. For instance, the International Association of Machinists and Aerospace Workers is building a database of model AI contract language to advocate for in negotiations. These provisions include requirements for **worker input** during automation integration and **retraining** if technology leads to downsizing. "If we are brought into the process earlier, we can help plan implementation that enhances people's jobs instead of having deteriorating effects on them," explained White. ## The Realistic Timeline for AI Robotics A key challenge in these negotiations is the uncertainty surrounding when companies will fully adopt physical AI. "We've been hearing for at least 15 years that we're going to have driverless trucks next year," noted Matt McQuaid, media coordinator for the International Brotherhood of Teamsters. "There's a lot of overpromising and underdelivering in the tech industry." **How realistic is this fear?** According to research firm Challenger, Gray & Christmas, companies cited AI in layoff announcements for over 50,000 jobs last year, with the government and technology sectors hit hardest. However, there is debate over whether employers are using AI as an excuse to cut workforces. A recent MIT study found that AI has led to a greater reduction in roles involving analysis and information processing, particularly in business, finance, and engineering. ## Technical Hurdles and Future Predictions Developing AI robotics is more complex than programming a chatbot. Darren Kimura, CEO of AISquared, highlighted that several major breakthroughs are needed before jobs requiring manual labor are threatened. "For robots to be able to do things like wire your house or plumb things or fix a motor, it has to take into account sensors for heat, vibration, sound, smell," he said. Kimura predicts it could take nearly a decade for researchers to achieve such innovations, giving unions time to develop their plans. In the meantime, he argues that manual work will become more valuable. "The skilled trades work—you can't replace that with a robot, at least certainly not anytime soon," he told DFD. "Frankly, there's going to be more of those types of roles needed." ## Additional Developments in AI Policy - **White House Office of Science and Technology Policy Director Michael Kratsios** will lead a U.S. delegation to the AI Impact Summit in India later this month. The summit will provide an update on Trump's America AI Exports program, aimed at promoting U.S. tech globally. - **Several online safety groups** are criticizing OpenAI's chatbot ballot initiative in California, arguing it could exempt AI companies from existing consumer protection laws. Common Sense Media, however, supports the initiative, calling it the "most comprehensive youth AI safety law in the country." ## Related Tech News - How Olympic snowboarders are using AI to refine their jumps. - Hackers publish personal data stolen during Harvard and Penn data breaches. - Telegram accuses Spain of using social media rules to censor critics. - Jeffrey Epstein joined tech leaders in making major crypto investments. - Senate report accuses the administration of "destroying medical research."]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>robotics</category> <category>automation</category> <category>jobs</category> <category>unions</category> <enclosure url="https://static.politico.com/59/ac/b647d2ac4245b20d53f7a57d6684/germany-international-federation-of-robotics-74294.jpg" length="0" type="image/jpg"/> </item> </channel> </rss>