AI & Jobs
AI แย่งงานใครกันแน่? ไม่ใช่ 45+ แต่เป็น เด็กจบใหม่ อายุ 22-25
Summary
The Stanford Digital Economy Lab finds the hardest-hit group is graduates aged 22 to 25, rather than workers over 45 as expected.
The reason is that most junior work is well-patterned, which is exactly what these systems were trained on.
What AI still cannot do is long-horizon strategy and complex judgment, both of which require experience.
Key points
The impact is the reverse of what was expected
Most of the worry pointed at older workers; the data points at those just starting.
Well-patterned work is the first target
The more precisely a job can be described as a procedure, the more easily it is replaced.
The first rung is disappearing
If there is no junior work, the question becomes where anyone accumulates the necessary experience.
The answer is to use it rather than avoid it
The talk concludes on learning and using the tools rather than waiting for the effect to arrive.