A new Anthropic study finds that AI could assist with up to 70% of tasks in some white-collar jobs, though most professions are more likely to be transformed than fully replaced.
This guide compares Interview Query and DataLemur across SQL practice, interview simulations, learning paths, pricing, and preparation depth to help data candidates choose the right platform.
New CompTIA hiring data suggests the tech job market is stabilizing, with strong demand for mid-career engineers and growing emphasis on practical skills over degrees.
LinkedIn’s 2026 data shows AI engineering, prompting, and model tuning are the fastest-growing skills, reshaping hiring, salaries, and interview expectations across tech.
This guide compares AI and human mock interviews across feedback quality, realism, repetition, and cost to determine which improves tech interview performance fastest.
In 2026, tech hiring is prioritizing hands-on, performance-based IT certifications over theory exams as employers demand real-world, applied skills.
A detailed comparison of Interview Query and StrataScratch covering SQL practice, mock interviews, pricing, features, and which platform better prepares you for real data science interviews.
Microsoft AI chief Mustafa Suleyman argues rapid advances in AI could automate large portions of white-collar work within two years, though labor market effects may unfold more gradually.
A Guardian investigation reveals that despite AI’s promise of efficiency, startup employees are working longer hours as expectations and competition escalate.
IBM’s plan to hire three times more entry-level workers in 2026 suggests AI may be reshaping, not eliminating, junior tech roles.
A curated guide to 40 data analytics datasets and realistic project ideas that help you build end-to-end, portfolio-ready analyses for analytics interviews.
January 2026 data science hiring shows stabilization across core roles, continued AI-driven growth in ML engineering, selective FAANG demand, and elevated tech layoffs shaping a tighter market.