GPT-5.2’s improved reasoning, coding accuracy, and automation capabilities are reshaping how tech work gets done, and raising urgent questions about the future of junior roles and AI-driven workflows.
New research shows a widening divide between corporate AI optimism and public distrust, driven by concerns over safety, fairness, worker impact, and who ultimately benefits from AI adoption.
This guide breaks down the core technical, system, and product skills AI engineers need today—with practical examples, career progression, and real-world expectations to help you grow or start your AI engineering career.
This guide explains what AI engineers do day-to-day, how the role differs across companies and industries, the skills required, and how beginners can start a career in AI engineering.
This guide outlines 21 practical AI projects—across NLP, computer vision, healthcare, finance, and LLM applications—complete with datasets, tools, and resume tips to help you build a job-ready AI engineering portfolio.
Geoffrey Hinton warns that while AI majors surge, the long-term career advantage still belongs to students who build the deep systems understanding taught in traditional CS degrees.
This article examines the rapid shift from CS majors to AI-focused degrees and explains why booming interest in AI doesn’t automatically translate into secure or abundant job opportunities.
This guide teaches you how to craft a high-impact, ATS-ready AI engineer resume and portfolio—complete with skills, examples, templates, and project strategies—to stand out in the 2026 AI job market.
This article breaks down Anthropic’s internal report showing how AI now completes 27% of engineers’ tasks—dramatically increasing output while raising deep concerns about long-term skill erosion and engineering culture.
A breakdown of the fastest-growing entry-level AI roles hiring into 2026, the skills employers want, and how newcomers can break into the AI job market without prior experience.
A data analyst overcame nine months of rejections and challenges to land a remote Data Engineering role, leveraging Interview Query’s frameworks, mock interviews, and AI tools to prepare strategically.
A new grad returned to the job market after a year off and secured a competitive data science role by using Interview Query’s structured prep, ML resources, and realistic interview practice.
