Spiceworks

(Credits: Parradee Kietsirikul/Getty) If you have your sights set on a job as a systems architect, you can expect strong demand and generous benefits. Hiring for systems architects is exceptionally high right now, thanks to the shift to cloud infrastructure by many firms, the rapid increase of AI adoptions, and a continued need to modernize legacy systems. In this role, job prospects are projected to grow at a rate considerably above the national average, with median salaries exceeding $130,000.

(Credits: Nuthawut Somsuk/Getty) Today, the job market looks different than it did in the past. Not only has technology evolved (e.g., virtualization, cloud computing, LLMs, and more), we live in an age where recruiters regularly receive thousands of applications for a job, thanks to AI-based job application tools.

(Credits: J Studios/Getty) On Tuesday, the US House of Representatives passed a bill to make daylight savings permanent. The Sunshine Protection ActOpens a new window passed the lower chamber with strong bipartisan support in a 308-171 vote and will now head to the Senate. If the US stops changing the clocks, your users will probably cheer, but your infrastructure will not automatically sort itself out.

Organizations are increasing their global IT spending, and more importantly, they are changing where they allocate those resources. Gartner estimates that global IT spending will reach $6.31 trillion in 2026Opens a new window , reflecting a 13.5% increase from the previous year. The largest portions will go to AI infrastructure, software, cloud services, and the data centers that support them. These investment flows are reshaping the job market.

Derek Brink Vice President and Research Fellow, Information Security and IT GRC, Aberdeen (Credits: zhen li/Getty Images) When it comes to moral and ethical considerations in AI, I’ve been strictly an observer so far. For the longest time, Isaac Asimov’s Three Laws of Robotics (first published in 1942, and 22 years later augmented by the Zeroth Law) seemed to me like “settled law.” First Law. A robot may not injure a human being or, through inaction, allow a human being to come to harm Second Law.

(Credits: Andrii Yalanskyi/Getty) A farewell lunch invitation lands on your calendar for a developer who, as far as your records are concerned, still has a live account, a VPN token, and admin rights on two systems. Nobody told you they were leaving—the lunch invite did. If that scenario makes you wince, you’ve lived some version of it. The revoking part of offboarding is easy.

When evaluating new tools, privacy conversations were largely driven by compliance with organizations wanting to know if a vendor met regulatory requirements and checked the right boxes. As technology continues to evolve and AI becomes more embedded across business functions, IT teams are asking a different set of questions: What happens to our data? Where is it stored? Is it used to train models? Who has access to it? A recent discussion in the Spiceworks Community illustrates the shift.

(Credits: Moor Studio/Getty) As AI becomes part of everyday work, many IT professionals say keeping up with it has become a job in itself. Just as teams adapt to one AI assistant or coding copilot, another arrives promising greater productivity and new capabilities. Keeping pace with AI is now an exhausting workload of its own.

(Credits: fotograzia/Getty) I recently interviewed prominent security researcher and ethical hacker Philippe Caturegli, who has collaborated with well-known security figures such as Kevin Mitnick and Brian Krebs. The initial aim of the conversation was to get his take on the recent data leak at CISA — the U.S. government organization that works to help entities reduce their cybersecurity risk.

(Credits: J Studios/Getty) ISO/IEC 42001 serves as an AI “operating system” for organizations: it outlines the necessary components for responsible AI governance and enables auditors to verify compliance. For the average person, obtaining ISO 42001 certification indicates that a third party has confirmed your AI program operates based on documented policies, defined accountability, consistent risk management processes, and ongoing improvement, not merely assumptions.