Can’t figure out where your career should go next? Our comprehensive Tech Career Paths hub is your roadmap to navigating the exciting possibilities in the tech industry. From exploring in-demand specializations to identifying the perfect fit based on your skills and interests, we'll guide you through the key considerations you need to make. Discover insider tips, data-driven insights, and expert advice on education, certifications, and in-demand skills… all designed to empower you to chart the perfect course for your tech career journey.
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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
Skills Visibility Gap Is Holding Back Hiring, Retention Efforts
Many organizations are struggling to identify and deploy the skills they already have, creating a growing gap between available talent and how it is used, according to a report from TalentLMS. Half of employees and managers surveyed said their company hires externally for skills that already exist in-house, pointing to a widespread breakdown in skills visibility. The report, based on responses from more than 1,500 U.S. employees and managers, highlights a shift in workforce challenges. Rather than a lack of talent, many organizations are dealing with “invisible talent”—skills that exist but are not recognized, tracked or effectively applied. Only a small minority of respondents said their organization does not face issues with skills visibility. That gap shows up in how managers and employees view workforce capabilities. While 90% of managers said they understand their teams’ skills, only 69% of employees agreed. A similar disconnect exists around development: 90% of managers said they
Stop Chasing Tools. Start Owning the Stack.
IT Careers Are Moving Toward Simplification and Strategic Execution Tool sprawl, support complexity and shifting work models are pushing IT teams to rethink how they operate, not just what they buy. That gives professionals an opportunity to grow by focusing on simplification, standardization and resilient support practices across distributed environments. In this evolving environment, the strongest career move may be less about chasing every new tool and more about becoming the person who makes the stack work better together. Michael Morris, global head of platform and talent at Randstad Digital, says as technology advances, professionals now have virtually every tool at their disposal. He cautions that Tool sprawl creates operational risk as organizations continue to layer on new solutions, increasing complexity across teams and workflows, and making it harder to ensure tools are fully aligned to business needs or consistently adopted. “To rationalize their stacks, leaders need to be
Model Context Protocol: What Is It and How to Learn It
A connective infrastructure called Model Context Protocol (MCP) allows large language models (LLMs) and other types of AI to interact with tools and data sources. This open-source framework facilitates these connections between tools. “Model Context Protocol (MCP) is an open standard that enables AI systems to connect directly to the tools, data, and services where real work happens,” said Fred Roma, senior vice president of product and engineering at MongoDB. AI models have been trapped inside chat interfaces and limited in their actions, according to Roma. Now MCP makes applications AI accessible for software builders. That enables agents to discover and use external tools, he added. “Instead of building a custom integration for every app, builders expose capabilities through an MCP server once, and any compatible AI can find it and start using it,” Roma said. You can connect a platform like ChatGPT to a common tool like Slack. And if you connect MCP to Atlassian Suite, Jira or Confl