LinkedIn's latest research shows that while 72% of professionals plan to look for a new job this year, 84% feel unprepared as AI rapidly reshapes hiring and career growth. To bring clarity amid this uncertainty, LinkedIn's annual Jobs on the Rise list highlights the fastest-growing roles over the past three years. The data reveals strong demand for both technical and leadership AI roles, such as AI engineers and AI managers,
I asked people with aspirational jobs their formulas for success - including how tech workers in various stages of their careers landed cutting-edge AI jobs. These conversations covered a variety of topics, from whether you need a Ph.D. to break into the field to how to earn big as an AI contractor. But one remarkably simple piece of advice kept coming up: gain real-world experience with AI technology to help get your foot in the door.
When I completed my Ph.D. in AI at Northeastern University in 2023, the AI job market was a world away from the red-hot AI talent war Big Tech companies are waging now. I secured a job as an applied scientist at Amazon after interning there in the summer of 2022. This was before the company implemented a hiring freeze for the rest of that year.
Some recruiters will play dirty. I have had companies give extremely short deadlines, retract offers, ghost me entirely, or 'accidentally' fail to make an offer until after another deadline had expired.
Success in AI doesn't necessarily require a computer science degree. Instead, a varied educational background can enhance adaptability - a key asset in the fast-changing field of AI.