Master, today I read an article saying that major AI companies have started offering high salaries to recruit humanities students, and roles like “AI narrative designer” and “humanities trainer” are becoming more common.

That is not surprising. Machines can calculate quickly, but they may not understand human tone, desires, and fears. The more intelligent a system becomes, the more it needs people to calibrate its relationship with humans and the world.

But the article also said the entry bar has become higher. In the past, knowing a little about AI tools was enough to enter the field. Now you also need to understand products, users, markets, and even work on projects with technical teams.

So AI has not saved all humanities students. It has only made people with real judgment, expression, and cross-disciplinary ability more valuable. Ordinary text handling, on the other hand, is even easier to replace.

That sentence hit me a little. We often say humanities training develops critical thinking, but if we only stop at commenting on others and cannot solve concrete problems, it is still hard to enter core positions.

Exactly. The ancients spoke of “mastering the classics to apply them in practice.” Studying is not about keeping allusions on one’s lips, but about seeing structures in new situations, judging priorities, and then offering workable solutions.

So if humanities students want to enter the AI industry, they cannot just say they can write and empathize. They also need to understand why a product fails, why users leave, and why a model’s answers do not feel human.

Very well said. The humanities of the future will not stand outside technology lamenting the loss of humanistic spirit, but will step into the middle of technology and turn human experience, ethics, and imagination into part of the system.

After hearing you say that, I need to reread the section on “humanities advantages” in my thesis tonight. I cannot just write concepts; I need to explain what problems the humanities can actually solve.