Former OpenAI researcher: The most important ability in the AI era will shift from problem solving to choosing
Comparatively, Phil Chen, a former OpenAI researcher, former Google DeepMind engineer, and current AI startup founder, recently published “Career Advice in the Age of AI” to share his latest judgment on career development in the AI era. He believes that as AI models become better at handling complex tasks that are clearly defined and quantifiable, the most valuable ability in the next ten years will no longer be solving problems, but rather identifying really important problems and rationally allocating resources such as time and money to solve them.
Phil Chen said that AI is quickly taking over all the jobs where loss functions can be written, and most tests in school education are essentially loss functions with standard answers. Therefore, future truly valuable work will be tasks that cannot be standardized to be judged within the model training cycle and require human judgment, creativity, and long-term decision-making ability.
He recommended that young practitioners focus on investing in the three most scarce resources—time, relationships, and reputation. Compared to capital, excellent interpersonal networks and long-standing industry reputation are more difficult to replicate, and are also the most important competitive advantages in the future. He recommended continuing to export high-quality results and let trustworthy and equally good people know about their work, so as to build a professional reputation.
Phil Chen is relatively optimistic about whether artificial superintelligence (ASI) will replace knowledge workers in the future. He believes that even with the advent of ASI, humans will still have an irreplaceable advantage in defining goals, screening issues worth investing in, and allocating resources, and that what really determines the long-term value of individuals will also be judgment, professional ability, and industry influence, rather than simply execution efficiency.
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