Physics/Mathematical Physics vs. CS/Data Analytics & AI: Which path offers better long-term career security and lower automation risk?

I am feeling incredibly conflicted about my undergraduate direction and could really use some perspective from people further along in their careers.

I’ve been fortunate enough to get into top-20 universities globally for both tracks, and I have a bit of practical experience working in both fields already. However, I’m completely torn on which path to commit to for my future professional career.

Here is my dilemma:

• Path A: Physics / Mathematical Physics. I love the fundamental problem-solving, but I worry about the industry job market outside of academia(like in hedge funds, or MNC's ), and whether the pivot to corporate/finance roles later on is as smooth as it used to be.
• Path B: Computer Science / Data Analytics / AI. On paper, this feels like the more immediate, lucrative choice. However, with the rapid advancement of AI tools, I am genuinely stressed about long-term automation risks, entry-level market saturation, and whether these technical skills will become commoditized.

For those in the industry: Looking at the next 5 to 15 years, which of these paths do you think offers better career longevity, flexibility, and resilience against automation? If you had to choose between them today at a top-tier university, where would you place your bet?

Thanks in advance for any insights or advice!