Posts

AI Video Interviews: Helpful Screening Tool or Risky Shortcut for Employers?

Image
Hiring teams are under pressure to move faster, handle larger applicant pools, and keep the process fair—all without burning out recruiters or overwhelming candidates. AI video interview tools promise speed, consistency, and fewer scheduling headaches, especially for the early screening stages—but does automation actually improve hiring, or does it risk turning a deeply human moment into something rigid or impersonal? In this article, we take a clear-eyed look at where these tools actually help, where they fall short, and how employers can use them without losing the authenticity and judgment that make hiring decisions effective. What Are AI Video Interviews, and How Do They Work? AI video interviews are screening systems that use technology to guide the early stages of a job interview . With these tools, candidates record responses to preset questions, and the system analyzes them using a mix of transcription, natural language processing (NLP), pattern recognition, and scorin...
Post a Comment
Read more

Soft Skills Are the New Hard Skills: Evaluating Soft Skills in Technical Roles

Image
Technical hiring has often been seen as fairly straightforward: find someone with the right stack, verify they can do the work, and bring them on board. But as AI speeds up development and automates more routine tasks, teams now rely more heavily than ever on communication, collaboration, and adaptability to keep projects aligned. AI can generate code, but it can’t untangle a misunderstanding between stakeholders, identify hidden assumptions, or steady a team when priorities shift. For many hiring managers, these human capabilities often predict long-term success more accurately than a candidate’s mastery of any particular framework or tool. The challenge is that soft skills are far harder to measure. You can test for technical expertise , but you can’t reliably gauge communication style, critical thinking, or real-world problem-solving from a polished interview answer. That’s why evaluating soft skills in technical roles has become one of the most critical—and most complex—parts o...
Post a Comment
Read more

AI and Entry Level Jobs: How Early-Career Roles Are Being Redefined

Image
Not long ago, an entry-level job meant learning as you went. Employers expected new hires to ramp up slowly, ask questions, make a few mistakes, and grow into the role. But as advances in AI and automation accelerate , the definition of “entry-level” has quietly changed. Today, AI and entry-level jobs are becoming inseparable, reshaping what early-career work looks like and what employers expect from new graduates. AI has taken over many of the simple, repetitive tasks that once served as natural training grounds for junior employees. Instead of easing into their careers through foundational work, many early-career candidates are stepping into roles that require stronger judgment, greater adaptability, and comfort working alongside automated systems from the start. Employers feel this shift too: they need talent who can operate in more complex workflows, but they’re also struggling to define what a modern entry-level role should even look like. In this article, we’ll unpack how AI...
Post a Comment
Read more