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Is AI making it harder for new tech talent to break in? Dice's Paul Farnsworth joined the Totally Talent podcast to unpack the widening experience gap AI is creating in tech careers, and what employers can do about it. Listen to the full episode:
go.dice.com/3Vkg0C8
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Analytics and database architecture skills just became some of the hottest tickets in tech hiring. CIO Dive's Roberto Torres breaks down why, citing Dice's Tech Hiring Myths data on where AI is actually driving demand. Read the full story:
go.dice.com/3VkBcYL
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AI skills are essential in tech hiring. But which ones actually matter?
Dice’s Paul Farnsworth breaks down what the data says about systems expertise, institutional knowledge and the skills gaining value as AI reshapes the workforce.
Read the full Q&A: go.dice.com/3UYNG8j
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46% of IT professionals say they're burnt out. Spiceworks dug into Dice's 2026 Tech Sentiments data to ask an uncomfortable question: what if some of that stress is actually doing you good? Read the breakdown:
go.dice.com/4cxMmzj
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AI fluency alone won't impress hiring managers. Three tech leaders explain how to reframe your resume around AI governance, measurable KPIs, and engineering fundamentals — and the red flags that get candidates filtered out. ow.ly/1jCb106Eu9P
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Mid-career DevOps engineers and SREs don't need an ML degree to break into AI infrastructure. Three tech leaders explain which systems skills transfer, what's genuinely new, and how to reframe your resume. ow.ly/aV24106EpS6
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As AI infrastructure strains the labor market, three companies are training the next generation of data center technicians — here's what skills to build and how to get in. ow.ly/b02Y106EmQE
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How much AI is too much in a job search? Business Insider asked Dice's Liz Andora and other recruiting experts where the line is between using AI well and letting it work against you. Read the full breakdown:
go.dice.com/4zATepj
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Tech leaders need auditable data, human review and clear explanations that can withstand scrutiny from applicants, executives and regulators. ow.ly/OQjF106EcZ7
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As AI reshapes cybersecurity roles and eliminates some entry-level tasks, human expertise, oversight and judgment remain critical. Cyber pros who can work with AI while understanding its risks and limitations are best positioned for career opportunities. ow.ly/L1Ir106E9Ns
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A resume gap should not define your future. This article explores how to address long-term unemployment bias with candor, preparation, and grit: go.dice.com/4gmoAYe #Employment #CareerStrategy
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As AI-powered attacks become faster and more autonomous, cybersecurity professionals will need to adapt their skills and defenses to keep pace. Understanding how frontier AI models operate could become increasingly important for career development. ow.ly/HNiK106E1qT
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Employers are paying premiums for AI production skills like MLOps, model evaluation, and reliability engineering — not familiarity with any single AI tool, a new Draup analysis of 2.85 million job listings finds. ow.ly/QfSv106CXrU
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AI is transforming how organizations test their defenses, forcing red teamers and penetration testers to adapt their skills, tools and tactics to a rapidly evolving threat landscape. ow.ly/lzrU106CSPA
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"Ghost jobs" are surging, with nearly half of hiring managers admitting they post roles they don't plan to fill soon. Here's how job seekers can spot red flags and vet real opportunities before wasting time applying. ow.ly/i2x7106COyi
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As AI systems move into production, IT professionals from security, compliance, and ML backgrounds are building a new career path in AI governance — translating policy into enforceable, testable controls. ow.ly/2Caw106CM9v
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A Christian & Timbers study finds only 2,000 of the roughly 17,000 U.S. forward-deployed engineers deliver elite-level results — creating a midcareer opportunity for IT pros who can pair technical AI skills with business impact. ow.ly/kiGy106Cm34
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Enterprise IT teams are racing to adopt AI, but engineers still don't trust its recommendations. Experts explain why context, telemetry quality and auditable evidence — not confidence — should determine how much autonomy AI earns in production. ow.ly/Pnu7106ChqQ
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What actually makes software 'quality'? A veteran developer breaks down the real factors — bugs, usability, performance, cost, and technical debt — behind the label, and asks whether AI-generated code changes the equation. ow.ly/8j8k106Cbkc
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Tech hiring is thawing in 2026 as job postings climb and layoffs ease — but execs say the rebound is modest. See what CIOs and IT leaders say about in-demand roles, AI skills, and how job seekers can stand out. ow.ly/7qxs106C0op
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