At a forum last month, Andrew Ng proposed a four-tiered talent pyramid for the AI era: Tier 1: Industry veterans + AI experts These individuals understand the business, possess architectural skills, and can execute tasks rapidly using AI. They are currently the most expensive due to their scarcity. Tier 2: Recent graduates + AI experts These are typical "potential stars." While lacking business experience, they are highly proficient in AI tools. Their productivity far surpasses that of experienced employees who don't use AI. They offer high cost-effectiveness, making them popular with both large companies and startups. Tier 3: Experienced employees who refuse to use AI Ng's exact words were, "I will never hire someone like that again." The idea that "experience alone is enough" will be a death knell in the AI era. This group is the most vulnerable to being left behind. Tier 4: Inexperienced + unable to use AI These individuals know nothing and are unwilling to learn AI. They are the ones who will be left behind by the times the fastest, with no value even in training. Universities today are still training graduates to adapt to the workforce in 2022. In just four years, the world has changed dramatically. AI has given ordinary people greater productivity. Even if you're not an engineer, you must possess technical skills. Andrew Ng also said he prefers to hire finance and HR managers who can program, because this way they can build business systems themselves, rather than waiting for the IT department to spend weeks coordinating.