AI Drove 25% of March Layoffs, But MIT Says Workers Still Have Time to Adapt
Despite rising AI-driven layoffs in 2026, MIT research suggests the workforce shift is gradual, giving candidates time to adapt and reposition.
Published April 13, 2026
Blog
AI Layoffs in 2026: What Block’s 40% Cut Means for Data Scientists
AI-driven layoffs in 2026 are less about eliminating jobs entirely and more about shifting demand toward deeper, more specialized data and AI skill sets.
Published April 9, 2026
The Best Generative AI Courses & Certifications in 2026: Compare Top Programs and Outcomes
This guide compares the top generative AI courses and certifications in 2026 by skill level, helping learners choose programs that align with real job outcomes.
Published April 8, 2026
NBER: CFOs Plan 9x More AI Layoffs in 2026, But the Productivity Gains Haven't Arrived
AI-driven layoffs are accelerating across tech in 2026, based on expected efficiency gains that have yet to materialize in real productivity data.
Published April 8, 2026
Karat Surveyed 400 Hiring Leaders. 71% Say Technical Interviews No Longer Work.
AI is shifting interviews from testing outputs to evaluating real-time reasoning, forcing companies to rethink how they assess technical talent.
Published April 7, 2026
How to Answer a Metrics Drop Question in a Data Science Interview
A step-by-step framework for diagnosing a metrics drop in a data science interview, with a worked example and the three mistakes that eliminate most candidates.
Published April 7, 2026
How to Pass the Data Science Hiring Manager Screen
Most data scientists fail the hiring manager screen not on technical skills, but on their ability to communicate business impact, structure answers, and show role alignment.
Published April 2, 2026
The Data Scientist Skill Bar Just Moved. New Posting Data Shows What Companies Want in 2026.
Data from 2026 job postings shows data scientists are now expected to own infrastructure, write production SQL, and design experiments, not just build models.
Published April 2, 2026
How to Answer Causal Inference Interview Questions: Diff-in-Diff, Synthetic Control, and When to Use Each
This guide teaches a simple decision framework for solving causal inference interview questions using diff-in-diff and synthetic control methods.
Published April 1, 2026
CoderPad: U.S. Technical Hiring Is Up 90% in 2026. The Interview Format Has Changed.
In 2026, technical interviews are shifting from algorithmic testing to AI-assisted problem-solving that reflects real-world engineering work.
Published April 1, 2026
Demand for AI Engineers in 2026 and Beyond: Market Trends, Skills & Opportunities
AI engineer demand is rapidly growing across industries, driven by massive market expansion, talent shortages, and the shift from AI experimentation to production.
Published March 30, 2026
Data Science Interviews Are Broken Because No One Agrees What a Data Scientist Is
Data science interviews feel inconsistent because companies define the role differently, forcing candidates to prepare for multiple job archetypes instead of one.
Published March 30, 2026