Episode
How College Students Should Use AI to Get Hired in 2026
- Published
- Mar 14, 2026
- Duration seconds
- 4400
- Processing state
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Summary
How should college students actually use AI to land a job in 2026 — when every applicant has the same tools and companies are using AI to screen the resumes that AI wrote? Purdue junior Umar Yasser (Business Analytics, ibex intern) joins Jason to dig into what campus conversations about AI really sound like right now, and what skills are going to matter when the tools are commoditized. Key topics covered : Whether AI is killing entry-level jobs and what that means for career development pipelines MindStudio vs. N8N for building agentic workflows with no computer science background Model selection and cost: why running Claude Opus on everything is a fast way to a $10,000 bill Hallucination as a feature: the difference between predictive and deterministic AI systems and when each one belongs OpenAI's ad-revenue strategy vs. Anthropic's enterprise focus — and why it changes the feedback you get Data privacy risks when uploading your resume to ChatGPT Convergent vs. divergent thinking: where LLMs actually help and where human discernment still wins The AI vs. AI resume flywheel that's making LinkedIn networking matter more than ever How to use NotebookLM for team feedback without it becoming a weapon If you're a student, a manager of young people, or an educator trying to figure out what skills actually prepare people for this job market, this one is worth your time. About Umar Yasser : Business Analyst Intern at ibex. Junior in Business Analytics and Information Management at Purdue University, West Lafayette, Indiana. Pursuing a certificate in Entrepreneurship and Innovation. LinkedIn: https://www.linkedin.com/in/umaryasser2004/ Work with Jason → [email protected] Newsletter → https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7399599285849…