For a long time, the standard advice was simple. Find what you love. Study that. The rest will follow.

That advice was never complete, and right now it is less complete than it has ever been.

AI is not a distant development. It is already changing what professionals in dozens of fields actually do every day. Legal research, financial analysis, medical imaging, basic coding, content production. Tools that automate significant portions of these jobs exist now and are improving rapidly. That does not mean those professions are disappearing. It means the skills that make someone valuable inside them are shifting.

The students entering college today will graduate into a labor market that looks meaningfully different from the one that existed when their parents graduated. Choosing a major without accounting for that is a real risk.

Consider a few concrete examples.

A student who loves writing and chooses journalism or content marketing is entering a field where AI tools already produce first drafts, summarize sources, and generate social copy at scale. The journalists who are thriving are not the ones who write faster. They are the ones who investigate, build sources, ask harder questions, and produce work that requires human presence and judgment. A journalism degree paired with data literacy and a specialty beat in health, finance, or politics positions a student very differently than a general writing degree.

A student drawn to law has real career prospects, but the entry-level legal work that once occupied first and second-year associates, document review, basic research, contract drafting, is being compressed by AI tools. The lawyers who will matter are those who counsel clients through complexity, argue, negotiate, and build relationships. A pre-law student who develops strong analytical and communication skills across disciplines is better positioned than one who simply checks the boxes.

A student interested in finance who pursues accounting with the goal of doing bookkeeping or basic tax preparation is choosing one of the most exposed paths available. A student who combines finance with data analysis, technology, or behavioral economics is pursuing something AI cannot easily replicate: the ability to interpret ambiguous information and advise real people making real decisions under uncertainty.

On the other side of the ledger, fields that are holding up well share common characteristics. Nursing and clinical medicine require physical presence, real-time judgment, and human trust in ways that cannot be systematized. Occupational therapy, speech pathology, and clinical psychology depend on relationship-based work that AI observes but cannot perform. Engineering disciplines focused on physical systems, civil, mechanical, structural, involve constraints and tradeoffs that require human accountability. Teachers, particularly those working with younger children or students with complex needs, are doing work that is fundamentally irreplaceable.

The creative fields are more nuanced. A graphic designer who only executes is exposed. A designer who directs, conceives, and makes strategic decisions about visual communication is not. An architect who draws is more exposed than one who thinks spatially about how humans inhabit space. A filmmaker who edits footage is more exposed than one who understands story, character, and what an audience needs to feel.

None of this means passion is irrelevant. A student who has no genuine interest in what they are studying tends not to do it well. But passion and trajectory are two different questions, and both deserve serious attention.

The conversation worth having is not which major sounds impressive or which career pays the most in year one. It is which combination of skills and knowledge positions a student to do work that requires a human being, specifically this human being, in ten years and beyond.

That is a conversation most families are not having early enough, and one I consider essential at Clearing.