آیا MBA در عصر هوش مصنوعی هنوز ارزش دارد؟

The question "is an MBA still worth it" usually gets answered with a defense of the credential or an attack on its cost. Both miss the more interesting question underneath: what is an MBA actually supposed to make scarce, and is that thing becoming more or less scarce in a world where a large share of analytical and technical work can be delegated to AI?

What an MBA has historically sold

Strip away the recruiting pipelines and the alumni network for a moment, and the academic core of an MBA is mostly a curriculum in structured judgment: how to read a market, how to reason about incentives, how to evaluate a business model, how to make decisions with incomplete information under time pressure. None of that is a technical skill in the narrow sense. It is closer to a discipline of thinking, practiced repeatedly across cases until it becomes usable under pressure.

That is a meaningfully different claim than "an MBA teaches finance and marketing." It teaches a way of approaching problems that finance and marketing happen to be convenient vehicles for.

What AI is actually good at

AI is very good at exactly the parts of business analysis that used to consume the most junior hours: building the model, summarizing the market, drafting the memo, running the sensitivity analysis. It is much less good, at least so far, at deciding which question is worth asking in the first place, at holding organizational and political context in view while making a call, and at taking responsibility for a decision when the analysis runs out.

This is not a small distinction. It suggests that AI is currently eating the analytical scaffolding around judgment, not judgment itself.

The actual question

If that's roughly right, the honest version of "is an MBA worth it" becomes: does the specific judgment an MBA trains, reading ambiguous situations, weighing competing incentives, deciding under uncertainty, become more valuable as the surrounding analytical work gets cheaper, or does the credential mostly retain value for reasons unrelated to that judgment, like signaling and network access?

My tentative answer is that the judgment component becomes more valuable, not less, precisely because it's now the bottleneck rather than one input among several. But that answer only holds if the program actually trains judgment rather than analytical technique dressed up as judgment, and that is a claim about a specific program's design, not about the credential as a category.

Where this leaves me

I don't think the right response to AI is to ask whether an MBA is worth it in the abstract. It's to ask, of any specific program, which of its two historical products, trained judgment, or credentialing and access, is actually being purchased, and to be honest that AI is putting real pressure on only one of those two things, in the opposite direction than most people assume.