When Looking Smart Becomes Easier Than Being Smart

CULTURE & CODE

A strange thing is happening in the age of AI.

For the first time in modern history, it is becoming remarkably easy to look intelligent.

You no longer need to spend hours refining a presentation deck – AI can do that. 

You no longer need to wrestle with a first draft for half the night while questioning your career decisions and relationship with caffeine – AI can do that too.

Need:

• a strategic summary?
• a market analysis?
• talking points for leadership?
• a “thought leadership” LinkedIn post written in the tone of a visionary executive who occasionally uses the word “ecosystem”?

There’s an AI for that.

And that is precisely why this moment feels so important.

Because the real disruption of AI may not be that machines are becoming more intelligent. 

It may be that: 

 

humans are becoming increasingly capable of simulating intelligence without fully developing it. 

 

That tension sat as the key point of a Stanford University Undergraduate and Student Journalist Theo Baker —author of the just recently released book How to Rule the World: An Education in Power at Stanford University (released 19 May 2026, Penguin Press).

Reflecting on Stanford, Silicon Valley culture, and the rise of AI, Baker offered one of the sharpest observations I’ve heard this year:

 

“AI is an accelerant.”

 

Not the root cause. Not the disease. The accelerant.

AI did not create:

• shortcut culture
• performative excellence
• commercialization
• obsession with status
• “winning at all costs”

It simply scaled what was already there.

And honestly?

That may be the most important thing leaders need to understand about AI right now. 

The Rise of Synthetic Excellence 

For most of modern history, appearing competent required actual effort.

You had to:

• think deeply
• analyze carefully
• organize ideas coherently
• revise repeatedly
• and occasionally survive a brutal encounter with PowerPoint formatting at 1:47 a.m.  

Today, AI can generate:

• polished reports
• executive summaries
• research syntheses
• strategic frameworks
• business analyses
• meeting notes
• presentations  

…in seconds.

And much of it looks excellent.

That’s the shift nobody is fully prepared for.

AI is not simply democratizing intelligence.

It is democratizing the appearance of intelligence.

Which creates a strange new workplace risk:

Organizations may soon be flooded with work that sounds smart, looks polished, and formats beautifully . . .

. . . without necessarily containing deep thinking underneath.

In other words: 

 

We are entering the age of synthetic excellence.

 

And synthetic excellence can be dangerously convincing. 

AI Didn’t Invent the Shortcut. It Industrialized It. 

One of the most fascinating insights from Baker’s bookwas his observation that Stanford already had a culture obsessed with:

• ambition
• status
• commercialization
• speed
• visibility
• access to power

AI merely amplified those tendencies.

And if we’re being honest, workplaces already reward many of the same things.

Corporate life has always contained a certain amount of performance theater. 

We’ve all attended meetings where:

• nobody read the pre-read
• everyone nodded confidently anyway
• and someone used the phrase “strategic alignment” enough times to qualify as a minor religious movement

AI scales this dynamic beautifully.

Now employees can generate:

• instant talking points
• sophisticated summaries
• polished analyses
• elegant recommendations
• and beautifully formatted confusion

. . . at industrial speed.

Which means the real risk of AI may not be artificial intelligence. 

It may be:

 

Artificial Credibility. 

 

When Thinking Becomes Optional

The deeper issue Baker explored was not technology itself. It was the changing relationship between effort and achievement. 

At Stanford, many students fear that AI undermines the intellectual labor at the heart of education:

• wrestling through ambiguity
• developing arguments
• forming judgment
• learning how to think independently  

And that concern matters because struggle is not a flaw in human development. It is the mechanism. 

Mastery does not emerge from skipping difficult thinking. It emerges from engaging deeply with it. 

But AI increasingly removes friction:

• drafting becomes easier
• coding becomes easier
• research becomes easier
• summarization becomes easier
• synthesis becomes easier

Which raises an uncomfortable question:

 

If AI removes the struggle required for learning,
what happens to mastery?

 

And this is not just an education issue. It is becoming a workplace issue too.

Because organizations may unintentionally create entire generations of professionals who:

• produce polished outputs
• sound highly competent
• move incredibly fast
• but never fully develop deep judgment underneath

That is a dangerous trade.

The New Premium Skill: Discernment

Ironically, the smarter AI becomes, the more valuable distinctly human capabilities become too.

Because if everyone can generate:

• presentations
• reports
• strategies
• analyses
• summaries
• thought pieces  

Then the true differentiator becomes:

• discernment
• judgment
• ethics
• contextual understanding
• taste
• wisdom  

The premium skill of the future may no longer be: “Can you produce output?”

It may become: “Can you recognize what is actually good?”

That is a much rarer capability – and a profoundly human one.

AI can generate options endlessly. But humans still determine:

• meaning
• relevance
• integrity
• trust
• nuance
• and whether something merely sounds intelligent or actually is.  

The Seduction of Looking Exceptional

One of the strongest themes in Baker’s book was the seduction of elite systems:

• The access.
• The prestige.
• The startup mythology.
• The proximity to power.

And honestly, this is not unique to Stanford.

Every ambitious environment carries the temptation to:

• move faster
• optimize harder
• look smarter
• win sooner
• scale bigger

AI fits perfectly into this culture because it rewards velocity. 

But, velocity without reflection creates fragility.

Organizations slowly begin optimizing for:

• polish over substance
• confidence over competence
• output over understanding
• speed over wisdom

And eventually, the culture itself starts confusing performance for mastery.

That is the real danger.

Not that machines become human. But that humans become performative.

The Human Advantage

The great irony of the AI era is this:

 

The more synthetic excellence becomes available,
the more valuable authentic human capability becomes.

 

Not performative intelligence, but Real Intelligence.

Not generated confidence, but Earned Judgment.

Not polished outputs, but Actual Wisdom.

The future will belong to people who can:

• think critically
• challenge flawed logic
• recognize quality
• tolerate ambiguity
• apply ethics
• exercise discernment
• and remain intellectually honest in systems increasingly optimized for speed

Because AI can help humans sound smarter. 

But it cannot replace the deeply human process of becoming wise. 

And perhaps that is the real challenge now facing education, leadership, and work itself: 

In a world where everyone can look exceptional,
how do we still recognize the people who truly are?