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I would give different advice to someone getting a Bachelors vs someone getting a PhD.

For BS CS/EE (or any engineering field): do not overthink the "recession is coming" news. US employers always want young engineers, as they consider them energetic, willing to learn and work for less salary than late career staff. Look up and polish the in demand skills. Brush up on the basics (Python, databases, git) at least to the extent of being able to solve "one step up from fizzbuzz" problems. And apply. You might get less generous terms and no sign-up bonus, but you are almost certain to still land something that you can use as a springboard 2-3 years later.

For PhD in AI: I would apply to good companies only and consider deferring graduation for a year if your fishing turns up nothing. This requires both your mental readiness and your advisor's physical/financial one, but in general your advisor should be thrilled to have you work for him another year for a relative pittance of a graduate stipend. It should not come to this (the market is not dead), but I would personally take it easy and focus on the job search for another year in grad school over taking some soul-sucking job at a company no one has heard of.

My 2c. And good luck!



I agree and would add that if you have any interest in SRE or DevOps those jobs are generally in high demand and hard to fill




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