AI Literacy Is Table Stakes. Domain Literacy Is the Game.
A few years ago, “AI literacy” was a real debate. How well do you need to use AI? Is prompt engineering a valuable skill? Should you bother learning these tools?
That debate is over.
AI literacy is now the same question as whether you can use a computer. Just as there are no office workers who can’t use a spreadsheet, there will soon be no knowledge workers who can’t use AI. It’s become baseline. A hygiene factor. Not up for discussion.
The real question is somewhere else entirely.
Why Developers Are Lost and PMs Are Winning
Something interesting has happened as AI spread. Two groups have reacted in sharply different ways.
Developers are confused. They’re experiencing an identity crisis and a role redefinition at the same time. “If AI writes the code, what am I?” loops through their heads. Junior developer positions are disappearing. Vibe coding videos show non-developers shipping apps. Copilot completes entire functions before you finish typing. You’ve seen it.
Product managers, project owners, and business analysts are having a very different experience. They’re thriving. AI helps structure requirements, summarizes meetings, drafts stakeholder reports. Suddenly they have wings.
Same tool. Why such different reactions?
Domain Literacy Is the Answer
A developer’s domain is building software. But now AI builds software. The domain itself is being eroded — which is why the identity crisis and role redefinition arrive together.
A PM’s domain is different. It’s about aligning stakeholders, reading context, making judgment calls in messy situations. AI can’t replace that — it assists it. So PMs aren’t threatened. They’re amplified.
Here’s the core of it: AI replaces tool-based skills. It amplifies domain literacy.
Domain literacy is the ability to deeply understand a field. A tax accountant knows the context and exceptions behind the law. A doctor reads the pattern behind the symptoms. A lawyer senses the risk hiding in a contract. AI can mimic these judgments — but verifying them, and taking responsibility for them, still belongs to people.
And the best questions come from the domain. The difference between a tax professional and a layperson asking AI about taxes isn’t prompt skill. It’s knowing what to ask, and knowing when the answer is wrong. That’s domain literacy.
Pandora’s Box Is Open
There’s no going back. Returning to a pre-AI world is as impossible as returning to a pre-internet world. The box has been opened.
In the myth, the last thing remaining in Pandora’s box after all the evils escaped was elpis — hope. In the AI era, the last thing remaining is domain literacy.
Knowing how to use AI will become assumed. The differentiator comes from what you know.
There’s still a path for developers, too. From writing code to designing systems. From handling tools to being an engineer with a domain. Confusion is a signal of change. The direction just needs to shift.
What to Do Now
Invest in AI literacy. Of course. But don’t stop there.
Change the question. Not “how well do I use AI?” but “what domain do I understand deeply?”
In a world where AI is a commodity tool, expertise becomes more valuable, not less. A domain expert using AI gets leverage. Someone without a domain using AI gets a faster Google search.
Pandora’s box is open. What matters now is what you know.