Former OpenAI researcher Phil Chen, who also worked at Google DeepMind and Scale AI, offered career advice for the AI era in a post titled "Career advice in the age of AI." Chen wrote that as AI becomes more capable of handling "complex, well-defined problems," the most important skills will be "the ones related to problem selection and resource allocation." He argued that school is "mostly loss functions: well-defined problems graded against known answers," and that "the valuable work of the next decade is everything that can't be graded within the span of model training." Chen advised early-career professionals to focus on the only "truly limited" resources: "time, relationships, and reputation." He wrote that "capital is easier than ever to secure" but strong human connections remain hard to find, and advised spending "time doing good work and ensuring it's known to other reputable people." Chen also encouraged young professionals to "relentlessly prioritize your time" and "work on the most ambitious form of a problem." He stated he does not believe artificial superintelligence will replace humans in "knowledge work jobs" because "humans have differential capabilities in selecting meaningful problems for ASI to solve, and in allocating capital to solve these problems."