<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0"><channel><title><![CDATA[Avild Blog]]></title><description><![CDATA[Avild Blog]]></description><link>https://blog.avild.com</link><image><url>https://substackcdn.com/image/fetch/$s_!VfYB!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F486aa0c5-66ac-40cf-89ae-08236594768c_1280x1280.png</url><title>Avild Blog</title><link>https://blog.avild.com</link></image><generator>Substack</generator><lastBuildDate>Wed, 23 Sep 2026 21:39:40 GMT</lastBuildDate><atom:link href="https://blog.avild.com/feed" rel="self" type="application/rss+xml"/><copyright><![CDATA[Ali Mammadzadeh]]></copyright><language><![CDATA[en]]></language><webMaster><![CDATA[avild@substack.com]]></webMaster><itunes:owner><itunes:email><![CDATA[avild@substack.com]]></itunes:email><itunes:name><![CDATA[Ali Mammadzadeh]]></itunes:name></itunes:owner><itunes:author><![CDATA[Ali Mammadzadeh]]></itunes:author><googleplay:owner><![CDATA[avild@substack.com]]></googleplay:owner><googleplay:email><![CDATA[avild@substack.com]]></googleplay:email><googleplay:author><![CDATA[Ali Mammadzadeh]]></googleplay:author><itunes:block><![CDATA[Yes]]></itunes:block><item><title><![CDATA[The 2030 Tech Job Market, in Two Datasets]]></title><description><![CDATA[What Europe&#8217;s demand model and the World Economic Forum&#8217;s global survey independently agree on &#8212; and where cybersecurity and AI fit in.]]></description><link>https://blog.avild.com/p/the-2030-tech-job-market-in-two-datasets</link><guid isPermaLink="false">https://blog.avild.com/p/the-2030-tech-job-market-in-two-datasets</guid><dc:creator><![CDATA[Ali Mammadzadeh]]></dc:creator><pubDate>Thu, 23 Jul 2026 15:43:35 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!VfYB!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F486aa0c5-66ac-40cf-89ae-08236594768c_1280x1280.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<p><span>Everyone has an opinion about where tech careers are heading. Fewer people have looked at the actual numbers &#8212; and almost no one lines up two independent, rigorously built datasets to see whether they tell the same story.</span></p><p><span>So we did. We pulled apart two sources that were built completely differently:</span></p><ul><li><p><strong><span>Cedefop&#8217;s Skills Forecast 2026</span></strong><span> &#8212; a model-based projection of European employment out to 2035, grounded in national accounts and labour-force surveys.</span></p></li><li><p><strong><span>The World Economic Forum&#8217;s 2024&#8211;2026 report family</span></strong><span> &#8212; fourteen publications, led by the </span><em><span>Future of Jobs Report 2025</span></em><span>, built from surveys of employers, CEOs and CISOs covering </span><strong><span>1.2 billion jobs</span></strong><span>.</span></p></li></ul><p><span>One is European and mechanical; the other is global and survey-driven. They shouldn&#8217;t necessarily agree. They do &#8212; and the convergence is the story.</span></p><h2><span>1. The headline: churn, not collapse</span></h2><p><span>The most common fear about technology and AI is that they&#8217;ll simply erase jobs. The data says something more precise: </span><strong><span>massive reshuffling, modest net growth.</span></strong></p><p><span>The WEF projects that by 2030, structural change will </span><strong><span>create 170 million jobs and displace 92 million</span></strong><span> &#8212; a </span><strong><span>net gain of 78 million (7%)</span></strong><span>, but a churn equal to </span><strong><span>22% of all jobs studied</span></strong><span>. Nearly one in four jobs is being remade underneath a headline number that looks calm.</span></p><p><span>And the engine of the growth is unambiguous. In percentage terms, the </span><strong><span>fastest-growing roles on the planet are technology roles</span></strong><span>: Big Data Specialists, FinTech Engineers, AI &amp; Machine Learning Specialists, and Software Developers lead the list. The fastest-</span><em><span>declining</span></em><span> roles are clerical and administrative &#8212; bank tellers, data-entry clerks, cashiers, secretaries.</span></p><p><span>Europe&#8217;s numbers tell the same story from the ground up. Using ICT occupations (the closest proxy the European data offers), </span><strong><span>EU-27 employment in IT roles is projected to rise from 6.9 million in 2023 to 9.2 million by 2035 &#8212; a 34% increase</span></strong><span>, with roughly </span><strong><span>4.9 million job openings</span></strong><span> to fill along the way. Two datasets, two methods, one direction: tech demand is structural and rising.</span></p><h2><span>2. Cybersecurity is the standout</span></h2><p><span>If you want a single skill to bet a career on, the data points to one.</span></p><p><span>In the WEF&#8217;s ranking of skills by &#8220;net increase&#8221; in demand, </span><strong><span>networks and cybersecurity ranks #2 in the entire world</span></strong><span> &#8212; behind only AI and big data, and ahead of general technological literacy. Two security roles crack the global top 15 fastest-growing jobs: </span><strong><span>Security Management Specialists (top 5)</span></strong><span> and </span><strong><span>Information Security Analysts</span></strong><span>.</span></p><p><span>Then there&#8217;s the supply side. The cyber workforce faces a global shortage estimated at </span><strong><span>2.8 to 4.8 million unfilled positions</span></strong><span> &#8212; a gap that has </span><em><span>widened</span></em><span> since 2024, with </span><strong><span>two in three organizations</span></strong><span> reporting moderate-to-critical skills gaps. That shortage isn&#8217;t abstract: it creates additional cyber risk for </span><strong><span>70% of organizations</span></strong><span>. And the reports name exactly which roles are hardest to fill: </span><strong><span>threat intelligence analysts, DevSecOps engineers, and identity &amp; access management specialists.</span></strong></p><p><span>The catch worth flagging: the cyber talent gap is deeply uneven. It hits </span><strong><span>small organizations (46% report a shortage) far harder than large ones (29%)</span></strong><span>, and the public sector (57%) and the Global South hardest of all (65% in Latin America, 63% in sub-Saharan Africa).</span></p><h2><span>3. Where in Europe is it easiest to find the work?</span></h2><p><span>Aggregate demand is nice; a job-seeker wants to know </span><em><span>where</span></em><span>. Europe&#8217;s data lets us rank countries by </span><strong><span>hiring intensity</span></strong><span> &#8212; how much hiring happens relative to the size of the existing IT workforce (a demand-side proxy for &#8220;your odds,&#8221; since it doesn&#8217;t account for how many people you compete against).</span></p><p><span>Two patterns emerge:</span></p><ul><li><p><strong><span>Deep ecosystem + brisk hiring</span></strong><span> &#8212; the sweet spot: </span><strong><span>Estonia and Luxembourg</span></strong><span> lead (IT is ~7.5% of all jobs and ~8% of that workforce is hired each year), with </span><strong><span>Denmark, the Nordics, the Netherlands and Lithuania</span></strong><span> close behind. Lots of employers </span><em><span>and</span></em><span> lots of hiring.</span></p></li><li><p><strong><span>Fastest-growing, smaller base</span></strong><span>: </span><strong><span>Romania</span></strong><span> is in a league of its own, with an estimated </span><strong><span>~17% annual hiring rate</span></strong><span> off a rapidly expanding base, followed by Cyprus and Croatia.</span></p></li></ul><p><span>For sheer volume of openings, the big economies still dominate &#8212; </span><strong><span>France, Germany, Poland and Spain</span></strong><span> &#8212; but they&#8217;re also the most crowded.</span></p><h2><span>4. AI&#8217;s double edge</span></h2><p><span>Here&#8217;s where an AI company&#8217;s readers should lean in, because the data resists both the hype and the doom.</span></p><p><span>AI is the single biggest force on this market: </span><strong><span>86% of employers expect it to transform their business by 2030 &#8212; rising to 99% in IT.</span></strong><span> The &#8220;human&#8211;machine frontier&#8221; is shifting fast: the share of work tasks done mainly by humans is projected to fall from </span><strong><span>47% today toward roughly a third by 2030</span></strong><span>.</span></p><p><span>But the reports are clear that the shift is mostly </span><em><span>augmentation</span></em><span>, not wholesale replacement &#8212; nowhere more visibly than in cybersecurity, where AI is easing a burned-out, understaffed workforce:</span></p><ul><li><p><strong><span>88%</span></strong><span> of security teams report time savings from AI.</span></p></li><li><p><strong><span>76%</span></strong><span> of cyber professionals reported exhaustion in 2025; </span><strong><span>55% were understaffed and 53% underfunded.</span></strong></p></li><li><p><strong><span>54%</span></strong><span> say a </span><em><span>skills shortage</span></em><span> &#8212; not the technology &#8212; is the top barrier to adopting AI in security.</span></p></li><li><p><strong><span>92%</span></strong><span> of tech executives say managing AI agents will be a </span><strong><span>non-negotiable</span></strong><span> cyber skill within five years.</span></p></li></ul><p><span>And critically for anyone starting out: in real security operations centres, AI </span><strong><span>cut new-analyst ramp-up time by 50%</span></strong><span> and let junior staff &#8220;contribute earlier in their career.&#8221; The flip side, and the honest warning, comes from the WEF&#8217;s </span><em><span>Global Risks 2026</span></em><span>: a bleaker scenario in which AI eliminates </span><strong><span>up to 50% of entry-level, white-collar jobs</span></strong><span> in the US within five years. The hedge is the same in every dataset &#8212; </span><strong><span>pair fundamentals with AI fluency.</span></strong></p><h2><span>5. The one thing everyone agrees on: skills are the bottleneck</span></h2><p><span>Strip away the sector detail and both datasets land on the same constraint.</span></p><p><span>The WEF calls </span><strong><span>skills gaps the #1 barrier to business transformation (63% of employers)</span></strong><span> &#8212; ahead of culture, regulation and money. Europe&#8217;s productivity research says the same about its own IT sector: </span><strong><span>nearly two-thirds of ICT employers cite skills gaps as a major barrier</span></strong><span>, alongside a &#8220;shortage of digital talent.&#8221;</span></p><p><span>The response is already underway. </span><strong><span>85% of employers plan to upskill their workforce; 70% plan to hire for new skills.</span></strong><span> If the world&#8217;s workforce were 100 people, </span><strong><span>59 would need training by 2030</span></strong><span> &#8212; but </span><strong><span>11 would likely be left behind</span></strong><span> without access to it. Europe&#8217;s IT workforce is visibly moving up the ladder: the share of EU IT jobs held by highly-qualified workers is projected to climb from </span><strong><span>64% in 2015 to about 75% by 2035.</span></strong></p><p><span>Two practical signals for anyone building a plan:</span></p><ul><li><p><strong><span>Experience beats paper.</span></strong><span> Employers rank </span><em><span>evaluating work experience</span></em><span> (81%) far above </span><em><span>requiring a degree</span></em><span> (43%), with short courses and certificates last (14%). Certifications open doors; demonstrated, hands-on work walks through them.</span></p></li><li><p><strong><span>The ladder pays.</span></strong><span> Median wages rise roughly </span><strong><span>37% for each step up the skill ladder</span></strong><span> &#8212; the return on reskilling is real and measurable.</span></p></li></ul><h2><span>What it means, depending on where you stand</span></h2><ul><li><p><strong><span>If you&#8217;re breaking in:</span></strong><span> aim at tech roles, treat cybersecurity as a high-demand bet (target threat-intel, DevSecOps and IAM), build a portfolio of provable work, and get fluent with AI tools early.</span></p></li><li><p><strong><span>If you&#8217;re switching careers:</span></strong><span> the door is open &#8212; employers are actively retraining &#8212; and your prior domain (finance, healthcare, energy) is an asset, since those are exactly the industries demanding cyber skills fastest.</span></p></li><li><p><strong><span>If you&#8217;re already in:</span></strong><span> move up as AI moves in. Learn to manage the machines, shift toward strategy and oversight, and guard against the &#8220;skills atrophy&#8221; that over-reliance on automation can cause.</span></p></li></ul><h2><span>The fine print (because it matters)</span></h2><p><span>Neither dataset is a crystal ball, and we&#8217;d rather you trust the numbers than oversell them. The WEF figures are largely </span><strong><span>survey-based</span></strong><span> and </span><strong><span>forward projections to 2030</span></strong><span> &#8212; they capture what employers </span><em><span>expect</span></em><span>, not measured outcomes. The European figures are a </span><strong><span>demand model</span></strong><span>: they show where the jobs are, but not how many people compete for them, and &#8220;IT occupations&#8221; is a broad proxy that can&#8217;t isolate cybersecurity on its own. Both are best read as </span><strong><span>direction of travel</span></strong><span>, not precise forecasts. Every figure above is drawn directly from the source reports.</span></p><div><hr></div><p><em><span>Sources: Cedefop Skills Forecast 2026; World Economic Forum &#8212; Future of Jobs Report 2025, Global Cybersecurity Outlook 2026, Elevating Cybersecurity 2025, Empowering Defenders: AI for Cybersecurity 2026, Global Risks 2026, and Global Economic Futures (Productivity &amp; Competitiveness in 2030).</span></em></p><p><em><span>We built two interactive companions to this piece &#8212; one mapping which EU country is easiest to find IT work in, and one synthesizing 138 page-cited statistics from the WEF reports. </span></em></p><p><span>&#8212; </span><strong><span>Avild AI</span></strong></p>]]></content:encoded></item></channel></rss>