Last month, at a forum, Andrew Ng proposed a four-tier talent pyramid in the AI era:

Tier 1: Industry veterans + proficient in AI
These individuals understand business, have architecture skills, and can execute rapidly using AI. They are the most valuable now because they are scarce.
Tier 2: Recent graduates + mastery of AI
This is a typical "potential stock." Although they lack extensive business experience, they are highly proficient with AI tools. Their productivity far surpasses that of veteran employees without AI. They offer high cost-performance and are favored by both large companies and startups.
Tier 3: Experienced employees refusing to use AI
Andrew Ng said, "I will never hire people like that again." The phrase "just rely on experience" is essentially a tombstone in the AI era. These are the most dangerous group moving forward.
Tier 4: No experience + unwilling to use AI
This group knows nothing and refuses to learn AI. They are the fastest to be left behind by the times, with no value in training.
Currently, universities are still training students to adapt to work in 2022. In four years, the world has changed dramatically.
AI has empowered ordinary people with greater productivity. Even if you're not an engineer, you must have technical skills. Ng also said he prefers hiring finance and HR leaders who can code, because they can build their own business systems instead of waiting weeks for the IT department to do so.