What Art School Taught Me That AI Can’t Replace

Meg Rye, Founder of Good Maven

When people ask what prepared me most for my work today, they expect me to point to something practical, like a course on negotiation or coaching. A framework.

But one of the most formative parts of my education wasn’t “career-focused” in the way we usually mean it.

It was art school.

I went to Tyler School of Art expecting to learn craft (I was a Craft major, focused on glass sculpture: kiln-casting, ladle-casting and blowing). And I did. But what I didn’t fully understand at the time was that I was also being trained in something far more transferable:

How to make decisions when there isn’t a single right answer.

Art school is training in ambiguity

In art school, you learn quickly that there’s rarely one correct outcome.

There are constraints, of course. A brief. A medium. A deadline. A critique. A set of materials. A set of values you’re trying to uphold, or a transcendent topic to communicate. A standard of excellence you’re trying to reach.

But there is no spreadsheet that can “solve” a piece of work into existence (although much of Hollywood has tried).

And you don’t succeed by becoming faster at producing. You succeed by learning how to think.

How to interpret, explore, decide.

That’s the piece that has stayed with me, for decades, through every stage of my career.

The real skill is conceptual judgment

If you’ve ever been through a critique, you know what I mean.

You pin up work that you’ve poured yourself into, and suddenly you’re in a room where each person sees a different thing.

One person loves the restraint.

Another wants it louder.

Someone thinks it’s elegant, someone thinks it’s too safe, someone else thinks you abandoned the most interesting idea too early.

And then you’re left holding the real question:

What do I do with all of this?

Not “what’s the most popular opinion.”

But what is the strongest decision here, given what I’m trying to create?

And sometimes the work that teaches you the most isn’t even polished. I still remember a class where someone brought in a paper plate with a coffee cup stain from lunch as their “questionable art,” and we discussed it seriously for a good amount of time. That wasn’t a detour. It was the point: value is contextual, interpretation matters, and there isn’t always a clean answer waiting for you. And this isn’t just true inside art critique.

I see it every day in the paths people take into design.

Very few designers followed a straight, obvious line. Many started in anthropology, sociology, philosophy, art, graphic design, communication design, even math or physics. At some point, they made a choice that didn’t always look practical or popular from the outside.

I’ve spoken to designers who left stable corporate paths to study interaction design. Others who moved countries for a master’s that their families didn’t fully understand. Some who walked away from higher-paying trajectories because something in them wanted to build, shape, question, create.

Those decisions are rarely just about money. They’re about identity. Meaning. Curiosity. Contribution.

And what I love about design recruitment is that those inflection points don’t stop. Every career move becomes another moment to rebalance.

Is this the right step now? How does this align with my partner, my family, my geography? How much risk can I tolerate in this season? What kind of work feels honest to who I’m becoming?

The more life layers someone carries, the more nuanced those decisions become. More complex. More interesting. More human.

That ability to weigh input, hold competing truths, and make a coherent choice is a skill. And it’s deeply human.

This matters even more in the age of AI

We’re living in a moment where AI can produce a lot, very quickly.

It can generate drafts, summaries, options, variations.

It can help you speed up certain kinds of thinking. It can surface patterns. It can prompt perspectives one wouldn’t have thought of on their own.

That’s useful.

But the more abundant ‘output’ becomes, the more valuable judgment becomes. In fact, hiring markets are currently seeing more candidates per vacancy and fewer jobs being filled efficiently — for example, in the UK there were about 2.6 unemployed people for every open position in late 2025, up from 1.9 a year earlier, reflecting greater competition and slower hiring overall.

Because the hard part was never generating something.

The hard part is knowing what matters.

What problem are we actually solving?

What’s the trade-off we’re making, and are we owning it?

Who does this serve, and who does it exclude?

What are we optimising for: speed, trust, learning, growth, clarity, delight?

AI can assist. But it can’t decide what kind of organisation you want to be.

It can’t feel the consequence of a decision on real people.

It can’t take accountability.

What this looks like in real hiring (and why humans still matter)

This is where I see the difference most clearly, in recruiting and career coaching designers.

On paper, it can look like a matching challenge:

Role, skills, level, comp, location, start date.

But the truth is, it’s almost never that simple.

A designer isn’t just a list of capabilities. They’re a whole life.

When I’m helping someone make a move, we’re often balancing multiple factors at once, and they don’t sit neatly in a triangle. It’s more like a many-sided shape that keeps shifting depending on what season of life they’re in.

Things like:

• where they can realistically live (or travel)

• who they need to be near, or responsible for

• the type of work that gives them energy, meaning, pride

• the amount of money they need to make because there’s a mortgage, school fees, family obligations or FIRE (Financial Independence, Retire Early) plan

• the kind of safety they need to feel, emotionally and practically

• how much uncertainty they can tolerate right now

AI can help surface options. It can help organise information. It can help compare job specs.

But it can’t feel the weight of those trade-offs.

It can’t interpret the human truth underneath the bullet points.

And that human interpretation often changes what the “best” choice is.

The same is true on the company side.

Hiring managers aren’t just picking “a designer.” They’re trying to build a team that works to ship a product, service, or solve a problem.

They’re often weighing:

• how important craft is for this role versus speed

• how much ambiguity the person needs to thrive in

• whether the team needs someone who can define problems or someone who can execute cleanly within constraints

• if domain expertise is a true prerequisite or a stand-in for other clarity

• whether leadership is needed now or later

• what kind of collaborator will raise the bar without destabilising the culture

Again, an AI system can score signals. It can summarise portfolios. It can compare resumes.

But it can’t hold the nuance of a team’s real needs, the personalities at play, the organisational context, and the long-term direction.

That’s judgment.

And judgment is the work.

The hidden gift of art school

Art school taught me something I still return to constantly:

You can gather input and use tools, but eventually, you have to choose.

Maybe not perfectly or with total certainty.

But consciously, (and hopefully) with values, context and responsibility.

In a world where AI keeps accelerating what’s possible, the most important question isn’t “what can we produce?”

It’s:

What do we stand for? What are we solving, and building, and for whom?

A quick reflection, if you’re in it right now

If you’re navigating a career move right now, it can be tempting to look for the “objectively best” next step, especially in a market where AI is changing what good looks like in real time. But it can be more helpful to zoom out and focus on what is truly important to you, and what kind of work will still matter when the tools keep evolving.

A few questions to guide your thinking:

• In an AI-enabled world, what’s becoming easier to automate, and what’s becoming more valuable because it requires human judgment?

• What do you need in real life (money, location, stability, safety - the non-negotiables) to do your best work consistently, and which roles actually support that?

• What do you want your next chapter to stand for and build toward: craft excellence, shaping better systems, leading through ambiguity, deepening domain expertise, or advancing values like equity, inclusion, and social justice?
  

Whether you’re looking for help with a career shift or to build your team with right-fit recruits, start a conversation with us.