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The New IT Career Advantage: Learning Before the Tool Arrives
The race to adopt AI has created an unusual dynamic in the technology job market: some of the most valuable experience isn’t coming from enterprise deployments, but from professionals experimenting with new technologies before their organizations formally approve, purchase or standardize them. With companies looking to move from AI pilots to production deployments, hiring managers are turning to IT pros who understand how to integrate AI into business processes, connect it to enterprise data and manage the operational realities that come with deploying it at scale. That shift is changing how technology professionals think about career development. “Because AI and automation is evolving rapidly, professionals who proactively develop skills ahead of the enterprise standardization are going to be rewarded because they are able to understand their potential and their limitations,” says Iris Adae, vice president of data and analytics at KNIME. She points out that proactive learning encourag
How AI Automation is Redefining Leadership Roles
In the past, enterprise software focused on helping managers collect information, but the evolution of AI is moving the technology toward something more ambitious: interpreting information, recommending actions, coordinating work across teams, and in some cases communicating decisions on behalf of leaders. Organizations are experimenting with AI systems that summarize performance trends, draft employee feedback, monitor project progress, allocate resources, and surface strategic recommendations. “How much time do leaders actually have to truly lead right now?” asks Michaela Clark, senior director at General Assembly. She explains too many leaders are drowning in administrative work, repetitive tasks, and execution that doesn’t require their strategic judgment. Automating the Work Around Leadership AI offers the promise of helping take over operational responsibilities consuming leadership bandwidth while leaving core leadership functions firmly in human hands. Sam Kidd, CEO and co-foun
Will programmers stop writing code?
I know a few professional developers who don’t use AI but they are becoming a rarity. The 2025 Stack Overflow Developer Survey, reports 84% are planning to use. I’m one and I use AI to refactor code a lot faster than I can do it. Recently I used it to transform a God Class (a poorly written class that does everything) into a number of smaller classes. I’ll now always use AI if I’m starting a new project, a small utility or need a UI. Something that might have taken hours manually can now be done in minutes. And it’s great at finding bugs in code. I work with a lot of code from other programmers and AI can explain how it works and find their bugs. Plus, if I need test code written, AI can take over what is usually a tedious task. It’s not all perfect though because AIs have been trained on older versions of some languages and insist on generating code using deprecated features. Rust for example always seems to stumble with random number generation. Most irritating though is when you poi
The Skills Driving Health IT Careers
Tech skills are a hot commodity in healthcare, whether you’re working in a large health system or a small healthcare practice, especially amid burnout for both tech professionals and healthcare workers. From strong data analytics skills to clinical informatics, database management and cybersecurity, many critical skills are in demand. Health IT professionals who combine both business skills with tech expertise will have an edge, according to Mara Daiker, senior director of professional development at the Healthcare Information and Management Systems Society (HIMSS). “Cross-functional skills such as communication, collaboration, change management, and the ability to translate technical concepts for clinical and executive teams are also becoming essential,” Daiker said. “Professionals who can combine technical expertise with healthcare domain knowledge and strategic thinking are most likely to be successful.” In addition, skills such as data analytics, data visualization and predictive a
Entry-Level Tech Jobs AI Can't Touch
Landing an entry-level job in tech has become exceptionally challenging as companies increasingly use AI-powered assistants and tools to handle routine tasks such as writing boilerplate code or unit tests, resetting passwords or responding to basic support inquiries. In fact, surveys show a 73% decline in hiring rates for traditional entry-level tech roles in the past year. However, not all entry-level jobs have disappeared. Some positions are surviving the rise of AI automation because they require more advanced skills like human judgment, critical thinking, problem solving and written communication. In fact, entry-level workers who have the ability to build, manage, and audit AI systems are becoming more valuable. To land one of these former low barrier to entry roles, however, you may need to stack some complementary skills on top of your baseline technical experience. Here’s a look at some entry-level tech jobs that AI has impacted…but not replaced. Help Desk Technician Instead of