<?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>Wed, 18 Mar 2026 21:20:00 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[Is AI Crushing Entry-Level Tech Jobs? The Shocking Truth About Wages and Hiring Freezes]]></title> <link>https://www.remoteitjobs.app/article/is-ai-crushing-entry-level-tech-jobs-the-shocking-truth-about-wages-and-hiring-freezes</link> <guid>is-ai-crushing-entry-level-tech-jobs-the-shocking-truth-about-wages-and-hiring-freezes</guid> <pubDate>Wed, 18 Mar 2026 20:15:25 GMT</pubDate> <description><![CDATA[## The Rise of AI in the Tech Industry Growing AI adoption has slowed the hiring of young workers in software development and customer service jobs, and recent data suggests it could also be exerting pressure on entry-level wages, according to industry experts. **“For software developers, there’s been about a 20% decline for entry-level people aged 22 to 26,”** said Erik Brynjolfsson, director of the Stanford Digital Economy Lab. **“For call centers, [there’s been] about a 15% relative decline. Mid-career people are doing okay. The more senior people are doing well.”** Instead of cutting wages, companies have stopped hiring for those positions, Brynjolfsson said during a panel discussion at last week’s Economic Summit held by Stanford Institute for Economic Policy Research. AI is automating work previously done by entry-level workers, which is also reshaping career pathways. Hiring for mid- and senior-career positions that focus on value creation remains stable, Brynjolfsson said. AI’s impact so far has been more evident on employment but **“we’re beginning to see a little bit of effect on wages, too,”** he said. There’s still insufficient data to properly measure AI’s true impact on wages, but that should become clearer as trends in the labor market emerge in the coming months, Brynjolfsson said. He noted that jobs in other industries such as home healthcare are not affected by the AI revolution. ## The Rise of ‘AI Washing’ Another emerging trend related to AI is that companies often blame the technology for layoffs, even when it’s not a major factor in cuts. Resume.org conducted a recent study in which 17% of 1,000 respondents said AI would be a reason to lay off employees this year. That study also found that **59% would use AI as a reason to justify hiring freezes or layoffs, “because it plays better with stakeholders than citing financial constraints.”** Outside of exposed professions, **“AI washing”** — a term that describes when companies use AI to justify layoff — is becoming a concern. Companies such as Amazon, Microsoft and Meta have cited AI as a reason for rounds of layoffs. Block recently laid off 4,000 workers, citing the use of AI tools to work more efficiently. **“Within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes,”** said Jack Dorsey, CEO of Block, in a letter to shareholders. The labor market slowdown isn’t driven by AI, but more by typical labor market trends, said Erika Mcentarfar, an economist at Stanford Institute for Economic Policy Research, and former Commissioner of the US Bureau of Labor Statistics. Firm AI adoption has friction, and non-tech companies running pilots won’t move quickly due to concerns on security, privacy and litigation. **“We’re in very…early stages,”** Mcentarfar said. ## The Broader IT Market Sees Uneven Growth The tech industry gained about 5,100 jobs in February, according to an analysis by CompTIA of jobs numbers released by U.S. Bureau of Labor Statistics (BLS). About 5,900 workers were added in IT and custom software services and systems design jobs, CompTIA said. Job postings referencing AI capabilities have risen sharply in early 2026 as companies build out AI systems, according to data from ManpowerGroup, a workforce consulting firm. **“We are seeing more employers embed these skills into hybrid roles that combine software development, data expertise, and systems engineering,”** said Kye Mitchell, head of Experis, which is part of ManpowerGroup. The tech sector is restructuring, but **“demand for multidisciplinary technologists remains strong,”** Mitchell wrote in an email to *Computerworld*. Many CIOs know AI will increase productivity, but are not yet sure what the technology will mean to the organization in the long term, said Jack Gold, principal analyst at J. Gold Associates. Some companies are doing a good job of deploying AI assistance in certain roles like HR and customer service, Gold said. **“But even the ones that have endorsed it for major shifts like agents are starting to discover that it isn’t fully capable of replacing all humans,”** he said.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>techjobs</category> <category>career</category> <category>automation</category> <category>layoffs</category> <enclosure url="https://www.computerworld.com/wp-content/uploads/2026/03/4147180-0-39804100-1773853138-Der-Obstkorb-alleine-reicht-Developern-nicht-mehr.jpg?quality=50&strip=all&w=1024" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Siemens Invests $165M in US Data Center Expansion, Creating 150 New Tech Jobs Amid AI Boom]]></title> <link>https://www.remoteitjobs.app/article/siemens-invests-165m-in-us-data-center-expansion-creating-150-new-tech-jobs-amid-ai-boom</link> <guid>siemens-invests-165m-in-us-data-center-expansion-creating-150-new-tech-jobs-amid-ai-boom</guid> <pubDate>Wed, 18 Mar 2026 13:15:14 GMT</pubDate> <description><![CDATA[Siemens, a leading German technology manufacturer, has announced a major investment in data center growth in the Carolinas, signaling a significant boost to US manufacturing capacity. ### Major Investment in Spartanburg Facilities Siemens is investing **$165 million** in new and expanded facilities to meet rising demand. This includes a new **120,000-square-foot facility** in Spartanburg, which will house lighting panel production and distribution operations. ### Expansion and Job Creation In addition to the new facility, Siemens will expand its existing plant in Roebuck by **22,000 square feet** to increase busway production capacity. The expansion will feature a new paint line, epoxy line, and an expanded plating line. These developments in Spartanburg County are expected to create **150 new manufacturing jobs**, contributing to local economic growth. ### Driving Force: AI and Data Center Demand Ruth Gratzke, President of Siemens Smart Infrastructure U.S., highlighted the surge in customer demand, stating: "**Customer demand is at an all-time high** as advanced infrastructure upgrades are needed to meet the power requirements from increasing AI workloads. Through sustained investment in U.S. manufacturing, Siemens is enhancing its capacity to meet the needs of data center and AI factory customers during this transformative phase of the AI industrial revolution, underscoring our long‑standing commitment to American made solutions." This investment underscores Siemens' strategy to capitalize on the growing needs of **data centers** and **AI-driven industries**, positioning the company at the forefront of technological infrastructure development.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>siemens</category> <category>datacenters</category> <category>manufacturing</category> <category>ai</category> <category>techjobs</category> <enclosure url="https://gray-whns-prod.gtv-cdn.com/resizer/v2/VHMOJBMKMJBVXO74XOJYVIUEFU.jpg?auth=4db6910afce233bf8c40c5fc22b755a7b7db4d2e756d86d67cb3ed0dad73b5ce&width=1200&height=600&smart=true" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[Atlassian's AI Job Cuts: Are We Heading Toward a 'Chaos Tsunami' in the Workforce?]]></title> <link>https://www.remoteitjobs.app/article/atlassians-ai-job-cuts-are-we-heading-toward-a-chaos-tsunami-in-the-workforce</link> <guid>atlassians-ai-job-cuts-are-we-heading-toward-a-chaos-tsunami-in-the-workforce</guid> <pubDate>Tue, 17 Mar 2026 13:15:13 GMT</pubDate> <description><![CDATA[Experts are sounding the alarm about a **"chaos tsunami"** of task automation, hollowed-out talent pipelines, and costly misfires that await leaders who cut staff to invest in AI without equally investing in human capability. ## Atlassian's AI-Driven Job Cuts Spark Industry Debate Atlassian's decision to cut **1,600 jobs** – about 10% of its global staff – to "steer more spending into artificial intelligence and enterprise sales" has become a flashpoint in a much bigger argument about how far and how fast AI should reshape white-collar work. This move, coming on the heels of a slew of other AI-linked redundancies, is already rippling through Australia's tech ecosystem. Venture backers say non-AI start-ups now face a funding drought and are quietly trimming headcount. While some investors hail this as overdue "right-sizing," workforce experts warn that Atlassian's cuts are an early sign of a more chaotic and uneven transition – one that could hollow out talent pipelines, deepen disengagement, and create a dangerous illusion that software can replace hard-won human judgement. ## 'Chaos Tsunami,' Not Instant Apocalypse or Utopia Steven McConnell, chief customer officer at Arielle Executive, said the Atlassian cuts should be seen less as a one-off restructuring and more as the front edge of a **"chaos tsunami"** in how work is organized. "You're about to see an explosion in two types of hype," he said. "Doomers will claim that we're about to see 50% unemployment, grinding poverty, and a wave of quantitative easing to prop up the economy. Utopians will claim that agents and humanoid robots are about to create a world of universal abundance where work is optional." Both extremes, he argued, are seductive – and social media will reward them – but both are wrong. Instead, he expects a classic S-shaped adoption curve: a burst of rapid AI deployment that is eventually capped by technological and economic realities. McConnell highlighted how the numbers behind the AI boom don't fully add up. The bigger estimates point to OpenAI committing about $1.4 trillion in long-term spending. However, it only made $20 billion in 2025. Today, a company might think it's cheap to use ChatGPT instead of junior staff when it costs $20–$200 per user each month. But that decision would look very different if a ChatGPT subscription jumped to $1,000–$5,000 per user per month. In that world, McConnell said, decisions like Atlassian's start to look less like inevitable automation and more like a **high-risk bet** on where AI costs and capabilities will land. ## Middle Management in the Firing Line – For Now Atlassian's 10% cut is far from the first time its workforce has been jolted by structural changes. A separate case before the US National Labor Relations Board alleges the company illegally fired an engineer, Denise Unterwurzacher, after she mocked co-founder Mike Cannon-Brookes in an internal Slack channel while protesting a "re-leveling" exercise that demoted and displaced staff. The NLRB's lawyer argued she was acting in the spirit of Atlassian's own "Open Company, No Bullshit" philosophy when she criticized the CEO's comments during an all-hands meeting about the changes. Atlassian denies wrongdoing and says it expects staff to speak up "in a manner that remains professional and respectful." For McConnell, the real structural pressure from AI is gathering one level below the C-suite. **"Middle management is most at risk,"** he said. "Think about what middle managers do day to day. They reduce friction between teams, chase updates, track milestones, hold people accountable." "Much of this activity exists for one reason: making sure information moves across the organization. And agentic AI is getting surprisingly good at handling predictable coordination work." He stressed that, so far, there is little hard data showing companies are directly making middle managers redundant because of AI. The more immediate effect is a silent hiring freeze. "Before adding headcount, leadership teams are increasingly asking a simple question: 'How much of this role can AI do?'" ## A Disengaged Workforce Meets an AI Shock If AI is accelerating structural change, Melissa Jenner, founder and CEO of Actvo, worries that many organizations are entering this era already badly underprepared. "We entered the AI era already carrying a **decade-long disengagement crisis**," she said. "Without immediately authorizing self-directed learning and building a genuine learning culture, organizations cannot expect even a third of their workforce to adapt at the pace AI is demanding." Her view is that Atlassian-style cuts risk becoming the default response because it is simpler to shed staff than to rewire culture. "We are walking into a deficit era, unprepared – and the costs to correct are going to be much larger than just retrenching staff." "The mindset shift has to come from a leadership shift first – towards building a sustainable culture centred around self-determined learning enabled for everyone," Jenner explained. ## The False Economy of 'Cut to Pivot to AI' Atlassian has framed its job cuts as a way to reallocate spending into AI products and enterprise sales. Across the start-up sector, venture capitalists describe a similar story: AI is allowing software firms to operate with much leaner engineering teams, and many that hired aggressively during the 2021–22 boom are now slashing 20–40% of product and engineering roles to "extend runway" in far tougher fundraising conditions. Jenner argues this arithmetic ignores the true cost of trading people for promises of automation. "Cutting 10% of your workforce to 'pivot to AI' is a short-term headline with a long-term cost," she said. "Research consistently shows that re-hiring externally can cost three to five times more (after factoring in financial, time and resource costs). This means for a $50,000 employee replacement costs could be $100,000 before accounting for lost institutional knowledge and the cultural DNA that simply cannot be rehired." "Institutional knowledge – customer relationships, product history, cultural context – lives in people, not systems," Jenner added. "When you displace experienced employees for lacking a few skills – in favour of AI – you're not just losing headcount. You're deleting years of pattern recognition that no model has been trained on." McConnell makes a similar point from the employer-brand side. He says companies that hide behind euphemisms about "rebalancing" and "long-term operational efficiency" while offering "tick-the-box" outplacement support are damaging their reputation in a tight talent market. "Make your brand relatable and human by getting in front of cameras," he said. And if you are cutting roles, ensure the career transition support "delivers value in the 2026 job market", not a box of generic CV templates. ## AI is Killing Tasks, Not Jobs – But Roles Need Redesign Both experts insist that a binary "AI kills jobs" narrative misses what is actually happening inside companies like Atlassian. "AI doesn't replace jobs – it replaces tasks," Jenner said. "The real question leaders should be asking is: have we actually mapped what our people can do against what our AI-augmented roles will need?" She argues that with the right workforce intelligence tools, companies can rapidly identify which employees are already close to future roles, and then re-skill the rest "far faster than they could ever recruit externally". Yet most organizations are getting the sequence backwards. "Most organizations are investing heavily in AI tools as a first-step on their augmentation journey – but almost nothing in human readiness," she said. "It's the equivalent of fitting out a world-class gym and expecting your team to be athletes by osmosis. The technology growth budget and the people growth budget need to be in the same conversation – right now, they're not even in the same building." McConnell noted that individual workers need to lean into that redesign rather than hope the storm passes. "The most in-demand leaders of the next decade won't just manage people – they'll manage hybrid teams of humans and AI agents," he said. "So stop asking: 'Should we use AI?' And start asking: 'How do we staff with it?'" He acknowledged the paradox: by embracing AI, some workers may help make their own current role redundant. "But you'll walk away with a skillset likely to have commercial value in the future." ## Talent Pipelines at Risk Beyond today's headlines, McConnell is most worried about what AI-linked cuts mean for tomorrow's leaders. "The Big Four consulting firms, for example, have slashed graduate hiring by almost 50%, with Deloitte recording the steepest drop," he said. While this hiring pullback may be driven as much by economic jitters as by AI, the effect is the same: entry-level roles are being squeezed just as generative AI tools become embedded in white-collar work. "The trouble with replacing entry-level roles with AI is that AI hallucinates – confidently. And spotting a mistake requires someone to know what AI doesn't know – which only comes from experience," McConnell added. If junior roles disappear, fewer people will accumulate that experience – making the whole system more brittle. ## Innovation's Human Ceiling – and the Investment Test For Jenner, the risk is that companies like Atlassian successfully automate away large chunks of routine work, only to discover they have also thinned out the very capabilities that make them competitive. "AI can obviously accelerate execution, but it cannot generate the contextual judgment, customer empathy, or collaborative, creative problem-solving that drives genuine innovation," she said. "If you under-invest in your people's capability to work alongside AI, you don't get 10x output – you get faster mediocrity." "My belief has always been that AI scales wisdom – secure your wisest people and upskill them, to reap the 1+1=3 outcome you need to innovate faster than your competitors." Her prescription is blunt: "For every dollar an organization spends on AI technology in 2026, they should be committing an equal dollar to human capability development. Anything less is planning to fail slowly – as the machines won't run themselves." In other words, Atlassian's 1,600 job cuts may prove a defining test – not just of one company's AI strategy, but of whether the tech sector can resist the temptation to cut first, explain later, and instead build the human systems needed to stop automation turning into a self-inflicted talent crisis.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>jobcuts</category> <category>workforce</category> <category>automation</category> <category>talent</category> <enclosure url="https://cdn-res.keymedia.com/cms/images/us/037/0365_639069851259796359.png" length="0" type="image/png"/> </item> <item> <title><![CDATA[AI's Silent Threat to Your Paycheck: Why Wage Cuts Could Be More Devastating Than Job Losses]]></title> <link>https://www.remoteitjobs.app/article/ais-silent-threat-to-your-paycheck-why-wage-cuts-could-be-more-devastating-than-job-losses</link> <guid>ais-silent-threat-to-your-paycheck-why-wage-cuts-could-be-more-devastating-than-job-losses</guid> <pubDate>Mon, 16 Mar 2026 13:15:16 GMT</pubDate> <description>< *Former Salesforce AI CEO Clara Shih says artificial intelligence could quietly push wages down across industries.* ### Three Ways AI Could Push Wages Down Shih outlines three mechanisms through which new technologies can suppress wages: **1. Intra-Sector Squeeze** When workers lose jobs in an industry, they compete for the remaining roles in the same field, driving wages down. Shih points to **manufacturing after the early-2000s trade shocks** as an example. As factories closed or automated, laid-off workers fought for a shrinking pool of domestic manufacturing jobs, and real wages declined. The US Bureau of Labor Statistics estimates that **5.5 million US manufacturing jobs were lost between 2000 and 2017**. Economists David Autor, David Dorn, and Gordon Hanson found in a 2016 paper that workers in industries exposed to import competition from China "accumulate substantially lower earnings" between 1992 and 2007. **2. Lowering Skill Barriers** Technology can reduce the skill requirements for previously specialized work, expanding the labor pool and increasing competition. "AI (like past tech waves) slashes the skill floor for once-premium jobs, flooding labor supply and compressing wages," Shih wrote. She cites **London's black cab drivers** as an example. For decades, drivers had to master "The Knowledge," a rigorous examination requiring memorization of thousands of streets and landmarks. GPS navigation and ride-hailing apps dramatically reduced the need for that expertise, expanding the driver labor pool and exposing drivers to more competition. **3. Sector Switching with Pay Cuts** Displaced high-skill workers may move into entirely new sectors after losing their jobs, often accepting lower pay while displacing incumbent workers. "Displaced high-skill workers switch fields, often taking a pay cut while displacing incumbent workers," Shih wrote. ### The Early AI Wage Boost May Already Be Starting to Fade Ioana Marinescu, an associate professor at the University of Pennsylvania School of Social Policy & Practice, suggests AI may already be nearing the **peak of its wage boost**. New technologies often raise pay early on by making workers more productive, but that effect can reverse once automation spreads widely enough. Her model suggests **wage growth could begin to decline once roughly 37% of cognitive or 'intelligence' tasks are automated** — a tipping point where automation starts replacing, rather than augmenting, workers. By her estimate, the economy has already automated more than 14% of those tasks, meaning the peak of the AI-driven pay boost may arrive sooner than many expect. For Shih, the implication is clear: policymakers and workers shouldn't judge AI's labor-market impact solely by job losses, but also by **wage trends**. The hidden risk of AI isn't just unemployment — it's the quiet erosion of earning power across industries.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>wages</category> <category>employment</category> <category>automation</category> <category>technology</category> <enclosure url="https://i.insider.com/69b7e9034d65ec51752a0b9d?width=1200&format=jpeg" length="0" type="image//69b7e9034d65ec51752a0b9d"/> </item> <item> <title><![CDATA[AI's Hidden Job Crisis: A Computer Science Grad's Struggle for Entry-Level Tech Roles]]></title> <link>https://www.remoteitjobs.app/article/ais-hidden-job-crisis-a-computer-science-grads-struggle-for-entry-level-tech-roles</link> <guid>ais-hidden-job-crisis-a-computer-science-grads-struggle-for-entry-level-tech-roles</guid> <pubDate>Sat, 14 Mar 2026 13:15:13 GMT</pubDate> <description>< *Software engineer Kiran Maya Sheikh* This week, I interviewed Kiran for Tech Memo. It was an eye-opening view into the realities of the new AI economy. Here are the highlights from our chat, edited for clarity and length. ### The Computer Science Dream vs. AI Reality **Alistair: What did you think you were signing up for when you first chose computer science as a degree?** Kiran: After getting into UC Irvine in 2020, I took my first coding class and I really enjoyed it. The prospects at this time were that people were going into this major to get great jobs and it was very rewarding and I ended up liking the work. **What did you believe a career in computer science would give you financially, socially, and emotionally?** The dream at the time was definitely everyone was saying, "Let's go work for Google and the **FAANG companies** and get a six-figure salary." My motivation was just getting a stable job, getting enough money to take care of my family — what everyone wants. I expected that computer science would put me in a position to grow as a software engineer, first and foremost, and then maybe take me to more of the strategic side, the management side. The main thing that I did figure out was that I wanted **financial stability** and maybe financial independence as well. ### The ChatGPT Wake-Up Call **Fast forward to late 2022, when ChatGPT launched. Did you see that as a tool at the time or a threat?** I was a hater at the beginning. Then, friends of mine started using ChatGPT and they're like, "Oh, you can just use it like Google. You can just text it and it'll give you the answer." And honestly, my first thought was like, "That's a bit lazy. You can get more learning out of doing the work yourself." But the more time went on, the more that people were using it, and they started using it for class. Suddenly, I was ahead in class. I was doing the assignments well and understanding more. **Was there a moment when you thought generative AI might reduce the need for junior engineers, or do you even believe that?** We all know the current job market. It's not too hot and a lot of companies are citing **AI as part of the reason for layoffs** — but maybe that they were going to cut those jobs anyway. At the time though, while I was in school and using ChatGPT, I honestly didn't think it would get this far. I expected AI would be integrated into software engineers' work and companies would start integrating it, but I didn't realize there would be potential for it to take over jobs that I was looking for. I don't think I was very attentive to the job market situation at the time, and I wasn't really thinking that far ahead. More of my worries at the time were just getting that first **entry-level position**. And I just thought it would be simple: I just get my degree and I would find a company that's hiring. Looking back, it was my mistake to not really research the current job market and maybe what some people were predicting about AI. ### The Job Market Bloodbath **I didn't see it coming either. Few people did. Anyway, describe the moment when you realized the job market had changed?** I was already graduating, so this was after June 2025. I was getting into the reality of having to find my first job, and that's when I definitely started noticing something was wrong. A lot of my classmates, I haven't really heard of them getting any opportunities. Everyone's submitting so many resumes and there's a race to use AI to enhance resumes and send them out as fast as you can. And it seemed a lot more intense than I was prepared for. A lot of my classmates and even students I know who are still in school are not even landing internships right now. It's not looking great. It's a very tough battle right now. So many people are quitting or getting fired or pivoting and there's new grads. Everyone is bracing, and it's a **bloodbath right now**. **Do you feel like you're competing against AI or laid-off senior engineers or both, or something else?** My fight is definitely with AI and all the competition with entry-level graduates — especially because AI is known to take over more junior roles. So it's important that we stay more relevant and offer something that AI can't. Scrolling through LinkedIn and on my job portals, I see more offers for **mid-level positions**, but I don't see as many for entry-level roles. So it's like I'm fighting AI and all these other graduates for roles that don't exist yet. ### Coping with the Crisis **This job search so far, what has it done to your confidence?** I try to be optimistic. I am lucky to have a better situation than some other people do. I'm living at home with family, so I don't have to worry as much about expenses. Still, if I weren't doing anything about my situation, I would feel pretty bummed. I'd feel kind of trapped. But I've been trying to work on building my network, finding people I know and learning from other people, just finding communities to be involved with. That's really helped my confidence because I find professionals that are trying to help — they are aware of the job market and they know how hard it is to get that first job. The one saving grace in this tough situation is definitely the **community I've found** and the people I know who are helping me through it. **Did you ever question your decision to study computer science?** Yes, I did question it. But I remember that I do like computer science and I did like what I learned. I really enjoyed my classes and programming. And instead of turning to a new discipline, I think I prefer to just specialize and find out new information and stay ahead of the news. And like I said, offer something that AI can't. ### The Education Gap **Do you feel like you were trained for a version of the tech industry that no longer exists?** I am a little salty, about this, if that's the right word. During my time at school, a lot of what the degree was about was learning the basics of software engineering. You learn programming languages and you learn how to set up your development and deployment. But right now there are so many more tools and I think that's the constant thing with the software engineering and the tech industry. There's always new technology and there's a lot of learning you have to keep up with. But with AI in particular, I felt like I graduated a bit too early. Because now AI will probably be more integrated into learning. I had so many professors that were more welcoming towards AI. I remember a really cool professor who shared a website that would let you make your own LLM. And it's really useful stuff, but it wasn't part of the curriculum. It will be now, but I won't be there to see that change. What I'm doing to help with that, and make the amends, is volunteering and doing more work on the side that involves newer technologies to just stay fresh and relevant and use all these new AI tools and see how I can leverage it. ### Advice for Future Students **If a high school senior asked you today whether they should major in computer science, what would you tell them?** It depends on what interests them about computer science. If it's absolutely something they're interested, they love learning about the technology and they want to code, I would still say go for it, but I would recommend how to position yourself for after college. You need to start much earlier now, **networking** and knowing how to speak with people and how to apply, how to write a resume. And those all are also much more important now at the start of college, especially getting internships, if at all possible. So, I would definitely recommend studying computer science, but being realistic about the opportunities available and keeping up with the news and the job market. **What would you say to potential employers out there?** The focus should still be in hiring **entry-level talent** if possible. I know it's tough with the current market and the economy and what's going on in the world right now. But entry-level talent is still important because you need to build this generation of professionals so that the future will have people to rely on. AI is still uncertain right now. People are still figuring out how it is impactful and it doesn't help to just force it upon your company.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>techjobs</category> <category>careergrowth</category> <category>softwareengineering</category> <category>entrylevel</category> <enclosure url="https://i.insider.com/69b44a844d65ec517529fb4e?width=1200&format=jpeg" length="0" type="image//69b44a844d65ec517529fb4e"/> </item> <item> <title><![CDATA[AI Job Cuts in Australia: Are Tech Layoffs Just Corporate Restructuring in Disguise?]]></title> <link>https://www.remoteitjobs.app/article/ai-job-cuts-in-australia-are-tech-layoffs-just-corporate-restructuring-in-disguise</link> <guid>ai-job-cuts-in-australia-are-tech-layoffs-just-corporate-restructuring-in-disguise</guid> <pubDate>Sat, 14 Mar 2026 20:15:23 GMT</pubDate> <description><![CDATA[**Teresa Lim**, one of Australia's most recognizable voices with 23 years in radio and TV ads, fears being replaced by AI. Companies can now create an AI-generated dupe of her voice from just a 15-second clip, highlighting the **terrifying lack of legislation** to protect voice actors and the public. ### Tech Layoffs and AI Blame More than **1,000 Australian tech jobs** have been cut recently, with companies like Atlassian, Block, and Wisetech citing AI productivity gains. Atlassian announced 500 job cuts in Australia as part of a global reduction of 1,600, while Block cut 4,000 workers worldwide, including 700 Australians, and Wisetech let go of 2,000 employees. Atlassian CEO **Mike Cannon-Brookes** stated, "It would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas." WiseTech's CEO, Zubin Appoo, made it explicit: "the era of manually writing code as a core act of engineering is over." ### Is AI Just an Excuse? Some analysts argue that **AI is being used as cover** for other financial pressures. Neal Woolrich from Gartner says, "I think there’s a lot of use of AI as cover for other things that are going on in the organisation." Economic modeling suggests only **1% of job cuts** result from AI productivity gains, with companies often facing market fears and investor pressure. For example, Block's share price dropped 35% since October, and Wisetech's halved over six months, both rebounding after layoffs. Lochlan Halloway from Morningstar notes, "Companies are very keen to talk up the benefits of AI because it is the buzzword … but it’s not a lot of concrete evidence yet." ### AI Adoption and Workforce Anxiety Despite the hype, AI adoption is widespread. Almost **one in three Australian businesses** use AI for advanced tasks like predicting demand, according to the Reserve Bank of Australia. Similarly, nearly one in three Australians fear their job will disappear due to AI, per Randstad research. In the U.S., sectors like finance and computing are hiring fewer entry-level workers, a trend mirrored in Australia. Taylor Nugent from NAB notes that demand for technical and professional jobs has weakened, though AI's role isn't clear yet. ### Impact on Graduates and Entry-Level Roles Undergraduates continue enrolling in fields like finance and computer science, but job prospects are tightening. Camilla Clarke from Give a Grad a Go says smaller firms are using AI for tasks previously done by interns, reducing junior hires. Alisdair Barr from Striver adds that finance graduates are shifting to human-facing roles like financial advice to avoid AI disruption. ### The Future of Work While AI may not be ready to replace all jobs, its integration is changing skill demands. Businesses still need humans, but the focus is shifting towards roles that involve human interaction and oversight. As AI technology evolves, ongoing legislation and workforce adaptation will be crucial to navigate these changes.]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>ai</category> <category>techjobs</category> <category>australia</category> <category>layoffs</category> <category>futureofwork</category> <enclosure url="https://i.guim.co.uk/img/media/82a2945ddc70b5e9de87a12b13ca0fc9a2398d8c/577_0_4384_3508/master/4384.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&precrop=40:21,offset-x50,offset-y0&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=42e165b3246c93abc8e1ec475cce9106" length="0" type="image/jpg"/> </item> <item> <title><![CDATA[The Hidden Tech Gold Rush: Why Forward Deployed Engineers Are in High Demand But Hard to Find]]></title> <link>https://www.remoteitjobs.app/article/the-hidden-tech-gold-rush-why-forward-deployed-engineers-are-in-high-demand-but-hard-to-find</link> <guid>the-hidden-tech-gold-rush-why-forward-deployed-engineers-are-in-high-demand-but-hard-to-find</guid> <pubDate>Thu, 12 Mar 2026 13:15:47 GMT</pubDate> <description><![CDATA[## The Rise of Forward Deployed Engineers in AI A once-rare engineering role has taken over Silicon Valley, promising to bridge the gap between cutting-edge artificial intelligence and the less tech-savvy customers who want to deploy it. But not everyone is excited about it. Tech companies are **gaga for the idea of “forward deployed engineers” (FDEs)**, who play a critical role in ensuring customers can actually use their sometimes complex AI offerings. ### Explosive Growth in Demand Job postings on Indeed grew **more than 10-fold in 2025 compared with 2024**. The number of public company transcripts mentioning the role jumped to 50 from eight over the same period, according to data from AlphaSense. The only problem? **Few engineers want the job**, which has historically been seen as demanding, undesirable and less prestigious than product-focused engineering roles. “Everyone wants them and there’s only maybe 10% of the market that wants that role,” said Patrick Kellenberger, president and chief operating officer at Betts Recruiting. ### What Do Forward Deployed Engineers Actually Do? Forward deployed engineers work on-site with a specific customer for a certain length of time, helping to customize and deploy the company’s technology based on the customer’s needs. The **nuanced customization that AI agents and other tools require** has fueled the recent trendiness of the job title, which was popularized by data-analysis firm Palantir. ### The Reality Behind the Role “It means spending a lot of time on planes, sleeping in three-star hotels, somewhere in middle America, and working out of a dimly lit windowless conference room where there’s not enough charging ports,” said Barry McCardel, who worked as an FDE at Palantir for about five years before founding AI analytics platform Hex. “**It’s not glamorous**,” he said. Beyond bare-bones accommodations, the job itself is also tough. Small teams with limited resources are under a time crunch to solve a problem that has never been solved before. Often, customers don’t use the projects they spend time building, McCardel added. “The extreme pace and heightened expectations and intensity of the forward deployed motion is not for everyone,” he said. ### The Perception Problem Others say the role’s undesirability cuts straight to the very heart of what it means to be a “real engineer.” “In a software company, engineers usually want to be working on building the product itself versus having to support it with customers,” said Phillip Merrick, chairman and chief product officer of pgEdge, a provider of databases and tools for agentic AI. Lucas Mendes, founder and CEO of tech talent and AI training platform Revelo, calls this phenomenon **“proximity to the machine.”** Building products that scale out to millions of people is seen as the “real engineering” work, and client support roles are, well, not. “We don’t believe that it’s less noble, but that’s what the prevailing culture believes,” he said. ### A Grind with Purpose Joe Henke, who worked as a forward deployed engineer for Palantir for years, including several overseas trips, remembers it as quite a grind compared with the experience of his product counterparts. “In the California office, it’s like beautiful weather all the time, the office is stacked, and has all this great food lying around. It’s not that people aren’t working hard there, but like it’s a very cushy environment to enable people to work hard. But when you’re out in the field, particularly overseas, just living conditions are harder,” he said. That said, for the right people, it can be a dream job. Henke said that the work felt incredibly meaningful because he could see how it was making a difference in the real world. Keith Ballinger, a vice president and general manager at Google Cloud, who has worked hands-on with clients over his developer career, albeit not in a formally titled “FDE” role, agreed. “**You’re in on the action. It’s not an Ivory Tower, it’s not theoretical**,” he said. ### The Future of FDE Roles Betts Recruiting’s Kellenberger said it would take time and a gradual shift in perception for more engineers to consider throwing themselves out into the trenches. The fact that companies are offering **sky high salaries for FDE roles** could help, as could the threat AI poses to many traditional software engineering jobs. “This is a big opportunity,” he said. “Yes, there are components to it that can be more stressful, but there’s a lot more upside.”]]></description> <author>contact@remoteitjobs.app (RemoteITJobs.app)</author> <category>forwarddeployedengineer</category> <category>aijobs</category> <category>techcareers</category> <category>siliconvalley</category> <category>engineering</category> <enclosure url="https://images.wsj.net/im-47163161/social" length="0" type="image//im-47163161/social"/> </item> </channel> </rss>