The Ladder Is Changing — Are You?

Recently, I was in a conversation about career ladders.

Principal. Staff. Senior. Mid-level. Junior.

We all understand the signals — years of experience, scope, influence.

But I offered a different perspective:

In the near future, what differentiates levels won't primarily be tenure.

It will be how you integrate AI into your thinking and workflow.

Not whether you can prompt.

But whether you can operate at a higher layer because AI exists.

After more than a decade designing across startups and large enterprises, I don't see AI as hype. I see it as a leverage shift.

And leverage shifts always rewrite ladders.

Execution Is Getting Cheaper

In design, execution used to be expensive.

Wireframes took time.

Research synthesis took days.

Copy iteration required cycles.

Exploration was constrained by bandwidth.

AI compresses all of it.

When artifact production becomes cheap, the bottleneck moves.

It's no longer:

"Can we produce enough?"

It becomes:

• Are we solving the right problem?
• Are we defining constraints clearly?
• Are we evaluating outputs rigorously?
• Are we designing systems instead of screens?

Design shifts from artifact creation to decision architecture.

And when the nature of value shifts, seniority shifts with it.

The Ladder Isn't Flattening. It's Being Rewritten.

Titles won't disappear.

But what they signal will evolve.

"Senior" used to mean:

• Strong execution
• Ownership of complex flows
• Effective stakeholder management

Increasingly, it will mean:

• Precise problem framing
• Responsible AI-assisted exploration
• Clear evaluation criteria
• Guardrails that protect users and the business

AI literacy will become baseline.

Leverage will differentiate.

The middle — especially roles centered on coordination or throughput — will compress. Smaller teams will produce what larger teams once did.

This isn't limited to design.

For PMs, drafting gets easier — strategy gets harder.

For engineers, boilerplate shrinks — architectural judgment expands.

For data teams, analysis accelerates — narrative clarity becomes non-negotiable.

AI doesn't eliminate roles.

It exposes where real value sits.

Sometimes the Best Way to Remain Unchanged Is to Change

Designers care about craft. About depth. About quality.

Resistance is understandable.

But if your identity is rooted in clarity, systems thinking, and user advocacy — adapting to AI protects that identity.

It doesn't betray it.

Every platform shift follows this pattern.

The ones who cling to the old layer lose leverage.

The ones who understand the new layer move up an abstraction level.

AI doesn't remove the need for taste.

It makes the absence of taste obvious.

A Practical Mental Model

I think about progression now in four layers:

Executor

Uses AI to accelerate production.

Orchestrator

Designs workflows combining humans and AI.

Architect

Defines constraints, context, evaluation standards.

Governor

Designs guardrails, accountability, and risk boundaries.

AI literacy alone doesn't elevate you.

Owning the system does.

Your level is increasingly defined by which layer you operate in.

How to Prepare

Not by "learning prompts."

But by moving upward.

Redesign one core workflow.

If your research, journey mapping, or documentation process hasn't fundamentally changed, you're still operating at the lowest layer.

Make evaluation explicit.

Create rubrics. Define quality thresholds. Establish guardrails. Generation is easy. Evaluation is senior.

Reinvest reclaimed time.

When execution gets cheaper, don't produce more artifacts. Improve problem framing. Clarify strategy. Strengthen alignment.

Leverage compounds when reinvested.

How I Mentor Through This Shift

When mentoring designers, I don't start with tools.

I start with positioning.

I ask:

"What layer of work is being automated — and what higher layer can you move to?"

If your value is tied to being the fastest executor, AI feels threatening.

If your value is tied to judgment, systems thinking, and responsibility, AI becomes an amplifier.

I also push mentees to define how they evaluate AI output.

If you can't articulate how you'd know it's wrong, you're not ready to rely on it.

Senior growth increasingly means owning the feedback loop — not just generating output.

And perhaps most importantly:

Don't protect the layer that's being automated.

Move upward.

What I Believe Will Happen

AI literacy will become baseline across design, product, and engineering.

Coordination-heavy middle layers will compress.

The gap between high-leverage thinkers and artifact producers will widen.

The ladder isn't disappearing.

It's being rewritten around:

• Systems thinking
• Judgment
• Guardrails
• Strategic clarity
• Responsible integration of intelligence

The question isn't whether AI will change the ladder.

It already is.

The real question is:

Are you?