[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-the-73-collapse-how-ai-is-erasing-entry-level-tech-jobs-and-rewriting-the-career-ladder":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":154,"categories":218},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":18,"links":81,"view_type":84,"video_url":85,"views":86,"likes":87,"lang":88,"comments_count":87,"category":89},"The 73% Collapse: How AI Is Erasing Entry-Level Tech Jobs and Rewriting the Career Ladder","The dramatic 73% drop in entry-level tech positions over the past year isn't just a temporary hiring freeze or economic blip—it's a signal of a fundamental restructuring in how software teams operate, driven by generative AI.","In contrast, AI-related roles have surged: AI/ML hiring grew by 88% year-on-year in 2025 (Ravio 2026 Compensation Trends), with AI Engineer positions making up a large share.","But dig deeper, and it's clear AI has automated much of the execution layer that once defined junior work.","\u003Cp>The dramatic \u003Cstrong>73% drop in entry-level tech positions\u003C/strong>&nbsp;over the past year isn&#39;t just a temporary hiring freeze or economic blip &mdash; it&#39;s a signal of a \u003Cstrong>fundamental restructuring\u003C/strong>&nbsp;in how software teams operate, driven by generative AI.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cimg alt=\"\" class=\"image-align-left\" height=\"298\" src=\"https://quasa.io/storage/photos/00/image - 2026-02-09T133842.216.jpg\" width=\"200\" />Recent data paints a stark picture for the US (and increasingly global) tech job market in early 2026:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Entry-level tech hiring (often labeled P1 or junior roles) has collapsed by \u003Cstrong>73.4%\u003C/strong>&nbsp;year-over-year, according to Ravio&#39;s 2025&ndash;2026 tech job market and compensation reports. This far outpaces the overall hiring decline of around 7% across seniority levels.\u003C/li>\n\t\u003Cli>In contrast, \u003Cstrong>AI-related roles\u003C/strong>&nbsp;have surged: AI/ML hiring grew by \u003Cstrong>88%\u003C/strong>&nbsp;year-on-year in 2025 (Ravio 2026 Compensation Trends), with AI Engineer positions making up a large share.\u003C/li>\n\t\u003Cli>Average salary for \u003Cstrong>AI Engineers\u003C/strong>&nbsp;in the US now hovers around \u003Cstrong>$206,000&nbsp;\u003C/strong>&mdash; a jump of roughly \u003Cstrong>$50,000\u003C/strong>&nbsp;from 2024 levels, per multiple sources including Glassdoor aggregates, Second Talent reports, and industry analyses.\u003C/li>\n\u003C/ul>\n\n\u003Cp>On the surface, this looks like a classic market shift: companies chase high-demand skills and pay premiums. But dig deeper, and it&#39;s clear AI has \u003Cstrong>automated much of the execution layer\u003C/strong>&nbsp;that once defined junior work.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Old Model vs. The New Reality\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>Traditionally, companies built engineering organizations like this:\u003C/strong>\u003C/p>\n\n\u003Col>\n\t\u003Cli>Hire juniors (fresh grads or bootcamp alumni).\u003C/li>\n\t\u003Cli>Invest 1&ndash;2 years in training: code reviews, pair programming, basic task assignment.\u003C/li>\n\t\u003Cli>Promote to mid-level, then senior&mdash;creating a sustainable talent pipeline.\u003C/li>\n\u003C/ol>\n\n\u003Cp>That ladder is breaking.\u003C/p>\n\n\u003Cp>\u003Cimg alt=\"\" class=\"image-align-right\" height=\"447\" src=\"https://quasa.io/storage/photos/00/image - 2026-02-09T133843.344.jpg\" width=\"300\" />Tools like \u003Ca href=\"https://quasa.io/projects/cursor\">\u003Cstrong>Cursor\u003C/strong>\u003C/a>&nbsp;(an AI-powered IDE built on VS Code), \u003Ca href=\"https://quasa.io/media/the-hidden-dangers-of-ai-coding-agents-how-addiction-to-claude-code-and-beyond-could-claim-many-victims\">\u003Cstrong>Claude\u003C/strong>\u003C/a>&nbsp;(via Claude Code or integrations), \u003Ca href=\"https://quasa.io/media/the-ai-hype-machine-a-satirical-look-at-corporate-digital-transformation-with-microsoft-copilot\">GitHub Copilot\u003C/a>, and others now handle the bulk of routine coding:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Writing boilerplate code from specs;\u003C/li>\n\t\u003Cli>Implementing straightforward features;\u003C/li>\n\t\u003Cli>Fixing bugs in existing code;\u003C/li>\n\t\u003Cli>Refactoring small modules;\u003C/li>\n\t\u003Cli>Generating tests.\u003C/li>\n\u003C/ul>\n\n\u003Cp>What juniors once did &mdash; translating tickets into pull requests &mdash; is increasingly done by prompting an AI with natural language or partial code. Senior engineers now prompt, review, and integrate at 3&ndash;5x speed, often without needing as many hands.\u003C/p>\n\n\u003Cp>\u003Cstrong>The remaining high-value work is architectural:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>System design decisions;\u003C/li>\n\t\u003Cli>Trade-off evaluations (scalability vs. speed vs. cost);\u003C/li>\n\t\u003Cli>Security and compliance reasoning;\u003C/li>\n\t\u003Cli>Strategic prioritization;\u003C/li>\n\t\u003Cli>Debugging complex, interdependent failures.\u003C/li>\n\u003C/ul>\n\n\u003Cp>These require deep context, experience, and judgment &mdash; areas where current AI still lags or needs heavy human oversight. Result: companies hire \u003Cstrong>experienced seniors\u003C/strong>&nbsp;(or AI-fluent mid-levels), equip them with AI tools, and achieve team-level output that previously required larger headcounts.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Consequences Are Already Visible\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>This pivot creates a cascade of long-term effects:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>No clear entry path for newcomers\u003C/strong>. Bootcamps, CS degrees, and self-taught developers face a brutal barrier: companies rarely hire juniors when AI covers the &quot;learning on the job&quot; phase. Stanford&#39;s Digital Economy Lab research (2025) shows employment for software developers aged 22&ndash;25 dropped nearly \u003Cstrong>20%\u003C/strong>&nbsp;from late-2022 peaks in high-AI-exposure roles &mdash; far steeper than for older cohorts.\u003C/li>\n\t\u003Cli>\u003Cstrong>Universities and bootcamps are misaligned\u003C/strong>. Curricula still emphasize fundamentals like algorithms and syntax, but the market rewards prompt engineering, AI tool mastery, system thinking, and domain expertise. Graduates enter a job market where entry-level postings have shrunk dramatically.\u003C/li>\n\t\u003Cli>\u003Cstrong>Future senior shortage\u003C/strong>. Without juniors feeding the pipeline, the supply of experienced engineers could tighten in 5&ndash;10 years. Today&#39;s seniors (many in their 30s&ndash;40s) won&#39;t have enough successors unless companies rethink training models&mdash;perhaps through structured AI-augmented apprenticeships or internal upskilling.\u003C/li>\n\t\u003Cli>\u003Cstrong>Wider talent inequality\u003C/strong>. Those who break in (via internships, open-source, or rare junior-friendly firms) gain an edge; everyone else faces prolonged unemployment or pivots to adjacent fields (e.g., AI ethics, product, or non-tech roles).\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why Companies Are Doubling Down Anyway\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>Short-term incentives win:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Cost efficiency\u003C/strong>. Paying one $200k+ senior + AI tools often beats three juniors + training overhead.\u003C/li>\n\t\u003Cli>\u003Cstrong>Speed to production\u003C/strong>. AI reduces iteration time; teams ship faster with fewer people.\u003C/li>\n\t\u003Cli>\u003Cstrong>Risk reduction\u003C/strong>. Fewer juniors means less code debt, fewer security slips from inexperience.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Many leaders openly admit: &quot;We can do more with less thanks to AI.&quot; Reports from Ravio and others show administrative and junior roles deprioritized explicitly due to automation.\u003C/p>\n\n\u003Cp>\u003Cimg alt=\"\" class=\"image-align-left\" height=\"169\" src=\"https://quasa.io/storage/photos/00/image - 2026-02-09T133934.790.jpg\" width=\"300\" />Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/lemme-how-kourtney-kardashian-built-a-wellness-empire-that-s-more-than-just-another-celebrity-gummy-brand\">Lemme: How Kourtney Kardashian Built a Wellness Empire That&#39;s More Than Just Another Celebrity Gummy Brand\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/google-s-gemini-era-for-gmail-from-email-archive-to-conversational-knowledge-base\">Google&#39;s Gemini Era for Gmail: From Email Archive to Conversational Knowledge Base\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/nvidia-s-hot-water-cooling-revolution-how-the-rubin-platform-is-disrupting-data-center-infrastructure\">Nvidia&#39;s Hot Water Cooling Revolution: How the Rubin Platform is Disrupting Data Center Infrastructure\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/top-14-burnout-quotes-to-spark-your-inspiration-and-keep-you-motivated\">Top 14 Burnout Quotes to Spark Your Inspiration and Keep you Motivate\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>What This Means Moving Forward\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>For aspiring developers in 2026:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Specialize early (AI/ML, security, cloud architecture, or niche domains).\u003C/li>\n\t\u003Cli>Master AI tools as core skills&mdash;Cursor, Claude, etc., aren&#39;t optional.\u003C/li>\n\t\u003Cli>Build portfolios showing complex problem-solving, not just code volume.\u003C/li>\n\t\u003Cli>Seek roles at companies still investing in growth (startups in certain verticals, or firms with strong apprenticeship cultures).\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>For companies:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>The current optimization is rational but shortsighted. Without rebuilding pipelines, talent scarcity looms.\u003C/li>\n\t\u003Cli>Hybrid models&mdash;AI + structured junior programs&mdash;may emerge as the sustainable path.\u003C/li>\n\u003C/ul>\n\n\u003Cp>The 73% drop isn&#39;t &quot;just the market&quot; &mdash; it&#39;s proof AI has already rewritten the rules of software engineering careers. Execution is commoditized; judgment is premium. The winners will be those who adapt fastest to this new reality.\u003C/p>","the-73-collapse-how-ai-is-erasing-entry-level-tech-jobs-and-rewriting-the-career-ladder","2026-02-09T12:41:09.000000Z","2026-02-24T11:28:00.000000Z","24.02.2026",{"image":82,"thumb":83},"https://quasa.io/storage/images/news/mal5wvkjqff8cfFdbfKpWTzhjZ36kpi0UHMyO65D.jpg","https://api.quasa.io/thumbs/news-thumb/images/news/mal5wvkjqff8cfFdbfKpWTzhjZ36kpi0UHMyO65D.jpg","small",null,2235,0,"en",{"id":18,"title":19,"slug":20,"meta_title":90,"meta_description":91,"meta_keywords":92,"deleted_at":85,"created_at":93,"updated_at":94,"lang":88},"Quasa Media's blog about Growth Hacking in action","Exclusive life hacks on how to choose a career and be productive in any job.","Freelance, business, startup, Survive As a Freelance 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We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":177,"thumb":178},"https://quasa.io/storage/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://api.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg",67509,4,{"title":182,"description":183,"slug":184,"created_at":185,"publish_at":186,"formatted_created_at":187,"category":188,"links":189,"view_type":84,"video_url":85,"views":192,"likes":180,"lang":88,"comments_count":87,"is_pinned":108},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":190,"thumb":191},"https://quasa.io/storage/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://api.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",65736,{"title":194,"description":195,"slug":196,"created_at":197,"publish_at":198,"formatted_created_at":199,"category":200,"links":201,"view_type":84,"video_url":85,"views":204,"likes":167,"lang":88,"comments_count":205,"is_pinned":108},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. 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