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AI is radically changing entry-level jobs, but not eliminating them
AI is radically changing entry-level jobs, but not eliminating them

CNBC

time26-07-2025

  • Business
  • CNBC

AI is radically changing entry-level jobs, but not eliminating them

The ongoing rise of artificial intelligence is having a significant impact on many types of jobs, particularly entry-level positions and especially on roles that involve lots of automation. And while AI might not be eliminating a large percentage of early career jobs, as recent headlines have proclaimed, it certainly is changing them in a big way. "AI is reshaping entry-level roles by automating routine, manual tasks," said Fawad Bajwa, global AI, data, and analytics practice leader at executive search and leadership advisory firm Russell Reynolds Associates. "Instead of drafting emails, cleaning basic data, or coordinating meeting schedules, early-career professionals have begun curating AI-enabled outputs and applying judgment." For example, people working in entry-level marketing jobs are using generative AI to create first drafts of promotional or campaign documents, and early career data analysts are relying on AI to prepare datasets, Bajwa said. "AI is reshaping all jobs," said Zanele Munyikwa, an economist at labor analytics firm Revelio Labs. He pointed out that hiring for entry-level jobs is down in general, regardless of AI exposure. "AI-exposed entry-level jobs are seeing bigger drops in demand, but the difference to non-exposed jobs is small," he said. What AI is doing is forcing an "occupational transformation" among entry-level roles, Munyikwa said. For example, the firm's research has shown that tasks performed by junior-level professionals are shifting toward less AI-exposed functions. The most AI-exposed jobs tend to be technical, such as data engineers, database administrators, IT specialists, and cybersecurity personnel, as well as financial workers such as auditors, Munyikwa said. And in an interesting twist, the most exposed jobs are also adopting AI the most, making them more productive, he said. In some of these occupations, up to 30% of workers are already using AI to perform their day-to-day tasks, according to Revelio Labs' research, and for those who use these tools, the productivity gains can be significant. "Increases in productivity may eventually lead to fewer headcounts in certain job families, but also create jobs elsewhere," Munyikwa said. "While AI may currently have some productivity boosting capabilities, it needs to be applied and used consistently across large parts of the organization to take effect." That requires investments in AI tool training and thoughtful restructuring of job requirements and capabilities, Munyikwa said. "This will take a lot of time and careful leadership to even partially achieve big cost savings," he said. Jobs with low AI exposure frequently involve tasks that are difficult to automate, the Revelio Labs' research noted. These positions include manual jobs in manufacturing, hospitality roles, or interpersonal work, which still require a steady pipeline of human workers. Compared with 2010, demand for these roles has grown more quickly than for high-exposure roles, the research said. To be sure, AI is already eliminating some entry-level functions in companies. "Generally, jobs that are repetitive, rule-based, and easily codified are most at risk," Bajwa said. Many are not disappearing overnight but rather are being fundamentally transformed and restructured to involve more oversight and less manual work, he said. Although it is highly unlikely that there would be a significant impact on entry-level jobs in the short term, Bajwa said, "organizations must redesign how early talent is onboarded, developed, and integrated in order to navigate the decade ahead," he said. "Without foundational tasks, it's harder for people to build experience, leading to a fundamental gap in terms of how new professionals will build judgment, confidence and fluency." In fact, 54% of the 3,000 executives from Russell Reynolds' global network that the company surveyed are concerned that AI reliance is eroding critical thinking, and one-quarter are worried about AI inadvertently undermining product/service quality and critical internal process quality. A growing number of leaders across industries are also concerned about AI-driven layoffs, according to the RRA research. Last year 20% said they were concerned, compared with 40%in the latest survey. CIOs and other technology leaders need to be prepared for the impact of AI on current and future entry-level jobs within their departments, especially considering how aggressively many are launching AI initiatives. "It changes both talent strategy and team design," Bajwa said. "Tech leaders must now rethink how they develop junior talent and build future pipelines. The goal isn't just efficiency; it's ensuring AI-augmented teams can still grow, learn and lead," he said. With the possible reduction in some entry-level technology positions, there is a potential for more top-heavy team structures, Muniykwa said. "Tech leaders need to redesign workflows and roles as they implement AI," he said. Businesses will need new "on-ramps", for example, apprenticeships and AI-assisted boot camps, so early-career talent can still learn and advance even as some traditional entry-level tasks disappear, Munyikwa said. "Leaders must plan for continuous upskilling, not one-off training sessions, to keep teams productive alongside rapidly evolving AI tools," he said.

Software developer jobs shrink by over 70% in the US: Can new grads still break into tech?
Software developer jobs shrink by over 70% in the US: Can new grads still break into tech?

Time of India

time27-06-2025

  • Business
  • Time of India

Software developer jobs shrink by over 70% in the US: Can new grads still break into tech?

The software development career path, long considered one of the most reliable gateways into the American workforce, is now facing a severe downturn. According to new data from Revelio Labs, a workforce intelligence company, job postings for software developers in the U.S. Tired of too many ads? go ad free now fell by over 70% between Quarter 1 in 2023 and Quarter 1 in 2025 — a decline more than twice as steep as the 35.8% drop in white-collar postings overall. For thousands of new graduates with degrees in computer science, coding bootcamp credentials, or tech-focused MBAs, this sharp contraction has made an already competitive market even more difficult to navigate. A tighter job market for tech talent The overall decline in white-collar job postings between Q1 2024 and Q1 2025 stands at 12.7%, according to Revelio Labs — slightly sharper than the 11.9% decline in blue-collar roles during the same period. However, for software developers, the pullback has been far more drastic, suggesting a sector-specific hiring freeze that goes beyond the broader market slowdown. Other white-collar roles in tech and business functions have experienced similar declines. Job postings for Business Analysts, Market Researchers, and Delivery Managers have also fallen at nearly double the overall white-collar average, indicating a broader retraction in mid-level corporate hiring for analytical and project-based roles. Wage growth stalls for new hires Compounding the issue for job seekers, the salaries offered in white-collar tech job postings have remained flat since mid-2024, according to Revelio Labs' analysis. This stagnation contrasts sharply with the continued rise in blue-collar wages, which have steadily increased over the same period. The wage freeze has been most acute at the entry level, where employers appear less willing to compete aggressively for new graduates or early-career professionals. Tired of too many ads? go ad free now While mid-to-senior roles have seen modest salary stability, job postings for executive positions continue to show upward salary trends — highlighting a growing pay divide within the white-collar workforce. What this means for new grads Tech graduates entering the job market this year are facing a much different reality than their counterparts just two years ago. The decline in developer roles — combined with the stagnation of pay and a redistribution of jobs away from traditional tech hubs — suggests that new entrants must now work harder and smarter to break into the industry. Success may depend on the ability to: Diversify skillsets beyond traditional software development Gain certifications in high-demand areas like cloud infrastructure, cybersecurity, and AI Be flexible with location, salary expectations, and contract-based or freelance work While the overall volume of white-collar tech job postings is down, some specialized tech areas continue to see resilience, including DevOps, machine learning, and enterprise security. Graduates who target these niches, and demonstrate a willingness to learn and adapt quickly, may still find opportunity in an otherwise cooling market. A tech reset, not a collapse The numbers from Revelio Labs report point to a significant reshaping of the white-collar and tech job landscape, but not an outright collapse. Rather than a death knell for software careers, the data likely marks a correction from years of aggressive hiring, followed by post-pandemic recalibration and economic caution. For new grads, the message is clear: the road into tech is now more competitive and less predictable, but it remains open — especially for those who are willing to shift with the market, sharpen their focus, and pursue the evolving roles where demand still exists.

See the white-collar jobs where open positions are dwindling — and where they're growing
See the white-collar jobs where open positions are dwindling — and where they're growing

Business Insider

time27-06-2025

  • Business
  • Business Insider

See the white-collar jobs where open positions are dwindling — and where they're growing

Jobs are scarce and wages are stagnant for white-collar workers compared to the boom of a few years ago. White-collar job postings nationwide are shrinking faster than their blue-collar equivalents, Revelio Labs, a workforce intelligence company, found. Those postings fell 12.7% compared to blue-collar's 11.6% between Q1 2024 and Q1 2025. Office workers are seeing fewer open roles for titles like information specialists, sales representatives, and business analysts. These business and IT roles are seeing the largest decline as the labor market grapples with slowing job growth. Several white-collar roles were on Revelio's list of occupations that had the biggest declines in openings between Q2 2023 and Q2 2025. Additionally, some other white-collar roles with plummeting job postings included software developers, IT project managers, and market researchers. Wages grew until mid-2024 for office workers before plateauing for the past year for office workers, Revelio found. Blue-collar wage growth continued to steadily increase. These workers, however, still make less than white-collar workers on average, Revelio found. But, it's not all doom and gloom for office workers, as some jobs are growing in comparison to the past two years. Account managers and recruiters are seeing the highest job posting growth in the past two years. Tech jobs have been especially tough for people just entering the workforce. Gen Zers hoping to break into the industry are watching the biggest tech companies lay off workers and hear constant chatter about AI replacing many of their hard-earned coding skills. "The adoption of Generative AI also appears to be a factor. This is a bit nuanced," said Zanele Munyikwa, an economist at Revelio Labs and author of the research. "Our own research shows that on a task-by-task basis, sales roles are actually less exposed to AI than professions like finance or engineering. However, it's possible the impact on hiring is so pronounced because AI is targeting the high-volume, top-of-the-funnel activities performed by junior reps, allowing companies to hit their targets with smaller teams." AI doesn't just loom over tech, as many entry-level white-collar jobs could be in the crosshairs of AI. AI leaders say jobs will change, and many will become obsolete. Companies are slimming down their workforces, especially middle managers. Top executives are the biggest winners in the data. The salary gap between mid-senior management positions and C-suite leadership is growing as execs saw a 26.8% salary raise since 2023's first quarter. With the older workforce eyeing retirement, blue-collar workers have been in demand for years. The blue-collar labor force often retires earlier than their peers in less physically demanding roles. This creates an employment gap as retirees are outpacing the Gen Zers and millennials securing these jobs. Some people are switching careers entirely, seeking more stability in the blue-collar labor market. More high-school graduates are shifting from obtaining a degree to entering a trade as they weigh the cost of college against its return on investment. Whether it be fears of AI, decreased job stability, or less bargaining power for workers in office roles, the blue-collar job boom is working for some.

Entry Level Jobs Still Exist But The Skills To Get Them Have Changed
Entry Level Jobs Still Exist But The Skills To Get Them Have Changed

Forbes

time12-06-2025

  • Business
  • Forbes

Entry Level Jobs Still Exist But The Skills To Get Them Have Changed

A recent graduate holds a "Hire Me" sign, highlighting the challenges many face entering the ... More workforce as entry-level jobs shift in the age of AI. What if entry level jobs aren't disappearing? What if we're just not preparing students for what those jobs now require? We told an entire generation the future was theirs if they just learned to code. We redesigned high schools around robotics labs. Gutted liberal arts departments. Laughed at philosophy majors. We promised that mastering logic, math, and engineering would lead to safe, well-paying jobs. Now AI is writing the code. And the jobs we built the system around? They're the first to go. The uncomfortable truth is this: we spent decades preparing young people to act like machines—just in time for the machines to take their place. But maybe the problem isn't that the first rung of the career ladder has disappeared. Maybe it's that it moved—and we're still looking in the wrong place. Entry-level roles once designed to train analysts, marketers, developers, and support staff are no longer the default path in. Employers are using AI to do that work faster, cheaper, and without the ramp-up time. And the people left standing aren't the ones with the freshest degrees or the most technical certifications. They're the ones with judgment. Experience. Context. Humanity. According to the latest JOLTS data, the U.S. hiring rate has fallen to its lowest point in over seven years. Zoom in on early-career roles and the drop is sharper: new postings for white-collar entry-level jobs fell 12.7% over the past year, according to Revelio Labs. Business analyst and software development roles dropped closer to 25%. And the trend is accelerating. Dario Amodei, CEO of AI company Anthropic, recently warned we're 'sleepwalking into mass unemployment,' predicting that AI could eliminate up to 50% of entry-level knowledge work within five years. These aren't factory jobs. These are the junior roles in finance, tech, media, law—the very ones we've told young people to chase. But this isn't the beginning of a collapse. It's the beginning of a correction. One that reveals not just what's changing, but what's missing. AI doesn't replace much of what makes up experience. It doesn't navigate ambiguity, weigh ethical trade-offs, or read the room in a tense client meeting. It doesn't know when to speak up, when to hold back, or how to build trust across a team that doesn't report to you. These are the skills that used to be learned on the job—through years of context, exposure, and failure. But if AI is absorbing the roles that once taught them, then we're left with a clear mandate: we need to teach earlier the things we used to expect time and tenure to deliver. While AI automates technical skills faster than we can redesign the next curriculum, it still can't connect, interpret, imagine, or lead with moral clarity. In an AI-powered world, it's no longer the person with the best answer who wins—it's the one who can ask the best question, see the bigger picture, and lead others through uncertainty. But we haven't been training for that. In the U.S., the share of humanities degrees has dropped from over 17% in the late 1960s to just 8.8% by 2022. Since 2000, the share of bachelor's degrees in English, history, and foreign languages has been cut nearly in half. Philosophy majors, once at 0.6%, now make up only 0.4% of all degrees awarded. This was framed as progress. As pragmatic. Now we're discovering it was shortsighted. The skills most needed today aren't 'soft.' They're foundational. Empathy. Storytelling. Negotiation. Ethics. Cultural fluency. Pattern recognition across complex systems. Creative thinking in undefined contexts. These aren't cultivated in code academies or spreadsheets. They're shaped in the very disciplines we've systematically deprioritized: literature, anthropology, sociology, philosophy, history, political science. Not as nostalgia—but as strategy. Because in a world where AI can answer almost anything, the real value lies in knowing what to ask, how to frame it, and why it matters. If we want to prepare young people for a world where machines can do the tasks but not the thinking, we need to rebuild the foundation. That means bringing the humanities back—not as electives, but as core career infrastructure. It means rethinking how we measure talent, valuing perspective, presence, and adaptability alongside performance. And it means rebalancing—not replacing—STEM with ethics, systems thinking, and human insight. This isn't about going backward. It's about finally catching up to the world we're already living in. We optimized a generation for technical efficiency—just as AI made technical skills abundant. Now we need to optimize for something else: being deeply, unmistakably human. Because when the machines take the data, the value will live in the mind that sees meaning—and the heart that knows why it matters.

Sam Altman said AI agents are acting like junior colleagues — and he's betting that AI could soon 'discover new knowledge'
Sam Altman said AI agents are acting like junior colleagues — and he's betting that AI could soon 'discover new knowledge'

Business Insider

time03-06-2025

  • Business
  • Business Insider

Sam Altman said AI agents are acting like junior colleagues — and he's betting that AI could soon 'discover new knowledge'

OpenAI CEO Sam Altman is betting that AI could soon help "discover new knowledge" and said it is already beginning to act like your junior-level coworkers. "You hear people that talk about their job now is to assign work to a bunch of agents, look at the quality, figure out how it fits together, give feedback, and it sounds a lot like how they work with a team of still relatively junior employees," Altman said of AI agents on Monday during the Snowflake Summit 2025, in a conversation with Snowflake Computing CEO Sridhar Ramaswamy. "I would bet next year that in some limited cases, at least in some small ways, we start to see agents that can help us discover new knowledge, or can figure out solutions to business problems that are kind of very non-trivial," Altman added. The keynote conversation at Snowflake Summit — which explored how organizations can drive immediate impact with the power of AI — comes as new data show that AI is already replacing human workers. Zanele Munyikwa, an economist at Revelio Labs, spoke to Business Insider's Aki Ito about her analysis of online job postings and the impact of AI since ChatGPT's release at the end of 2022. As Ito wrote, "She found that over the past three years, the share of AI-doable tasks in online job postings has declined by 19%." In roles Munyikwa pinpointed as more vulnerable to AI, such as database administrators and IT specialists, the hiring downturn has been as steep as 31%. Over the past quarter, Shopify said that its managers need to explain why a job couldn't be handled by AI before asking for new hires, and Duolingo, the language learning app, said it would replace contract workers with AI. In February, OpenAI launched GPT-4.5, which Altman called "the first model that feels like talking to a thoughtful person." He also described the model as "giant" and "expensive." The rollout is limited to Pro subscribers until the shortage of GPUs is solved. OpenAI also recently launched Codex, a new AI agent aimed at streamlining coding tasks for developers by writing code, fixing bugs, and running tests. Altman said it was already in use by OpenAI's own engineers. Unlike traditional chatbots, the multitasking AI agent can also interact with external software to complete tasks like making a dinner reservation.

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