Don't Waste 2026 on the Wrong Career (ML vs AI Engineer)

Machine learning engineer or AI engineer - which path should you take in 2026?

Most people waste hundreds of hours chasing both paths simultaneously, not realizing these are completely different careers with different requirements, different day-to-day work, and different barriers to entry.

This video breaks down the real differences so you can make the right decision and stop spinning your wheels.

What You'll Learn:
- The fundamental difference between AI engineers and ML engineers (and why it matters for your career)
- Why AI engineering is booming right now and what the actual job looks like
- The brutal truth about ML engineering competition and academic requirements
- Why AI engineers are essentially software engineers with a new superpower
- A real project walkthrough: building a local AI transcription app that cleans up messy recordings
- Why AI engineers are actually future-proof (despite what the doomers say)

Timestamps:
0:00 The dilemma between ML Engineer and AI Engineer
0:32 What do AI Engineers do?
1:55 What do ML Engineers do?
2:40 Which path is the right choice
3:16 How to become an AI Engineer
4:56 Why AI Engineering is future-proof

Why did I create this video?
Too many people are stuck in tutorial hell trying to learn everything at once. Pick your path first, then go deep.