Video summary
Why your engineering degree isn’t getting you a job? Quad founder Mohit’s honest answer
Main summary
Key takeaways
Summary of the video’s main points (Mohit Choudhary on education, employability, and Quad AI)
Why engineering degrees aren’t getting jobs (his core thesis)
Mohit argues that job outcomes aren’t primarily about whether someone has an engineering/management degree. Instead, success depends on whether students develop job-relevant skills, gain early practical exposure, build communication ability, and form strong connections.
He emphasizes that many colleges teach the same outdated curriculum and typically fail to provide the practical and interpersonal training companies need.
Networking + communication matter as much as skills
He says networking (the connections you build) and communication are critical for unlocking opportunities—internships, interviews, and leadership growth. He frames networking as a real advantage (“network is your net worth”), including the alumni and industry exposure that comes from interacting with leaders and mentors.
Curriculum and teaching need to be modern and practical
Mohit claims much of Indian college education is built on old syllabi and theory-heavy instruction that no longer matches today’s job market—especially with AI-era changes.
He argues colleges often waste time on irrelevant subjects for specific career tracks, while students still miss fundamentals like interview communication and modern digital skills.
Students choose the wrong things when selecting colleges
He criticizes students for optimizing for campus size, flashy infrastructure, celebrity events/fests, and marketing claims—rather than asking harder questions such as:
- Who will teach me? (Are instructors current and capable of teaching modern tools?)
- What practical training will I get?
- How are placements/internships actually supported?
Tier-2 / tier-3 institutes face an outcomes gap—signaling isn’t enough
He contrasts outcomes between elite institutes and others:
- At top schools, placement may still work due to strong brand signaling, even if students don’t immediately land jobs.
- In tier-2/tier-3 institutes, students may struggle because there’s no signaling advantage and skills aren’t built sufficiently—so employers hesitate until students demonstrate job readiness.
His “anti-bujiawala” metaphor: standardized education harms students differently
He compares universities to mass-production: students are treated like standardized inputs rather than individuals.
Instead of tailoring support to different student needs, colleges churn out large intakes and run a uniform “processing” model. He argues students aren’t “potatoes”—they need individualized skill development and coaching.
Quad AI’s approach (5 key differences from regular colleges)
Mohit highlights these differences as part of Quad AI’s model:
- 100% internships from semester 1 (instead of delayed support in later years).
- Early communication training as an ongoing focus from day zero (not only English writing).
- ATS-ready, optimized resumes and workshops to help students write stronger, recruiter-friendly bullet points.
- Hackathons and competitions from semester 1 to create quick wins and real exposure (including corporate and inter-college events).
- AI-integrated curriculum with removal of outdated/redundant coursework so students spend time on what improves employability.
He also notes small cohorts (about 120 students) and tight mentorship—he personally remembers students and their strengths/weaknesses—to enable “handcrafted success,” rather than high-volume education.
Why he started in Patna (and why it matters)
Mohit says he built Quad AI in Patna to reduce “migration” caused by lack of quality education and opportunity in Bihar.
He believes that when strong talent is developed locally, companies will follow, strengthening the ecosystem. He also mentions expansion (e.g., Bengaluru) and partnership programs where students can start in one location and finish in another.
Future of jobs under AI (his stance)
He rejects the idea that AI will automatically “take away jobs.” Instead, he argues:
- AI will change the types of work, but job loss is not guaranteed—people with the right skills can still secure strong roles.
- Transitions similar to past shifts (e.g., accounting moving to Excel/Tally) will reward those who upskill, while others may get stuck in old processes with worse outcomes.
- Hiring may not be as bleak as headlines suggest; the “winners” are those with modern, relevant capability.
Advice to students (especially current and incoming students)
Mohit’s key guidance includes:
- Start communication practice immediately (it can’t be learned effectively at the last minute).
- Apply for internships early and repeatedly, treating rejections as normal (he says he personally received many rejections).
- Don’t fall for marketing metrics—campus branding, celebrity events, or inflated placement numbers without context.
- For dreams involving elite/fast-growing startup paths, don’t confuse curated Instagram stories with reality—dropsouts often come from already highly selective environments.
Presenters / contributors (as mentioned in the subtitles)
- Mohit Choudhary (Founder of Quad AI / Quadred AI)
- Mahima (Podcast host / interviewer; also mentioned as helping host master classes)