The Most Expensive Word in Organizations Is “Innovative”

I think one of the most expensive words in organizations right now is:

🔥 “innovative.”

Not because innovation is bad.

But because the word is increasingly being used to hide unclear thinking.

And I do not think many leaders realize how expensive that has become.

Especially now.

Because AI is about to expose organizational vagueness at a scale many companies are emotionally unprepared for.

The moment the room changed

This week, I sat in a mission and vision workshop where people were discussing the future direction of a company.

And the language sounded familiar.

Very familiar.

The mission draft included words like:

• innovative

• reliable

• future-proof

• seamless

You know.

The corporate Pokémon starter pack.

Words that sound intelligent.

Words that sound safe.

And words that often mean almost nothing operationally.

Because here is the uncomfortable truth:

🔥 organizations are often not suffering from a lack of ambition.

They are suffering from a lack of specificity.

And vague language creates vague systems.

Eventually, someone in the room reframed the conversation into this:

💚 less administration, more care

Suddenly the energy changed.

Because now we were no longer discussing abstractions.

Now we could imagine:

🖤 exhausted healthcare

💚 patients

🖤 administrative overload

🖤 time pressure

🖤 emotional friction

💚 human outcomes

The conversation became real.

And that is the moment I realized again how often organizations accidentally disconnect people from meaning through language.

Corporate language often functions as emotional camouflage

This is the part that may ruffle feathers ( or in dragon language: scales ;-)).

I think organizational buzzwords often survive precisely because they avoid accountability.

Because once you become specific…

people can challenge you.

“Future-proof” sounds impressive.

But what future exactly?

Future-proof against:

• AI disruption?

• regulatory changes?

• customer churn?

• scaling issues?

• economic collapse?

• technological obsolescence?

Specificity creates responsibility.

Vagueness creates safety.

“Innovative” is particularly expensive because it allows organizations to feel progressive without defining what meaningful change actually looks like.

I have seen too many companies call themselves innovative while:

🖤 forcing teams through seven approval layers

🖤 punishing failure

🖤 ignoring customer pain

🖤 rewarding political behavior over experimentation

🖤 maintaining architectures nobody understands

🖤 burning out engineers/leaders/… to sustain outdated systems

🖤 confusing novelty with value

That is not innovation.

That is innovation theater.

And AI is about to make this much worse.

Because AI can generate enormous amounts of activity around unclear goals.

Which means organizations can now scale confusion faster than ever before.

Companies often do not clearly understand value

This is one of the deepest problems I repeatedly see in technology organizations.

Teams are often measured by:

• output

• velocity

• utilization

• roadmap completion

• ticket closure

• feature counts

But customers do not buy features.

They buy outcomes.

And outcomes exist inside human systems.

Not technical systems.

This is why many “innovative” initiatives quietly fail.

Because the organization optimized for internal activity rather than external value.

One of the frameworks I use often is distinguishing between different types of business value (described in detail in my Leadership Leap book)

💚 Customer Value

Does this improve the actual human experience?

💚 Efficiency Value

Does this reduce friction, waste, complexity, or operational burden?

💚 Commercial Value

Does this improve revenue, retention, conversion, or strategic positioning?

💚 Future Value

Does this create adaptability for future (in the short term) opportunities or risks?

💚 Sustainability Value

Does this reduce fragility and create long-term organizational health? —> I highly recommend this read: Antifragile

The dangerous thing about buzzwords is that they often blur all of these together into meaningless abstraction.

“Innovative.”

Okay.

Innovative HOW?

Toward WHICH value?

For WHOM?

At WHAT cost?

By removing WHICH pain?

Organizations often cannot answer those questions clearly.

Dragons love fog

🐉

One of the things I often write about is dragons.

Not as fantasy creatures.

But as symbolic representations of the forces we avoid confronting.

And organizational vagueness behaves exactly like fog around a dragon’s cave.

Because ambiguity protects hidden dysfunction.

The fog protects:

🖤 misalignment

🖤 weak leadership

🖤 political behavior

🖤 conflicting incentives

🖤 unclear ownership

🖤 fragile architectures

🖤 performative strategy

🖤 fear of accountability

The moment someone introduces clarity…

the dragons become visible.

And visibility changes everything.

Because once a problem becomes concrete:

🔥 it can be challenged

🔥 measured

🔥 improved

🔥 prioritized

🔥 or rejected honestly

That is why clarity often feels emotionally threatening inside organizations.

Not because people are stupid.

But because specificity removes hiding places.

AI is going to expose this brutally

This is where things become really interesting.

For years, vague organizations could survive because implementation speed itself was slower.

Human friction accidentally acted as a containment system.

Meetings slowed things down.

Engineering constraints slowed things down.

Limited execution capacity slowed things down.

But AI dramatically lowers production friction.

And that changes the equation completely.

A vague organization with low execution speed creates moderate chaos.

A vague organization with AI acceleration creates exponential chaos.

Because AI amplifies:

🖤 unclear priorities

🖤 contradictory strategies

🖤 fragmented architectures

🖤 weak product thinking

🖤 poor communication

🖤 shallow leadership

🖤 unresolved organizational tension

Faster!!!

And suddenly clarity itself becomes a competitive advantage.

Not because clarity is new.

But because amplification changed the economics of confusion.

The real future of leadership may become painfully human

I think many leaders still secretly believe the future belongs to the organizations producing the most.

I increasingly think the future belongs to the organizations understanding the most.

The organizations capable of:

❤️‍🔥 defining meaningful outcomes

❤️‍🔥 reducing ambiguity

❤️‍🔥 creating coherent systems

❤️‍🔥 aligning people around purpose

❤️‍🔥 balancing short and long-term value

❤️‍🔥 integrating human and technical thinking

❤️‍🔥 communicating clearly across complexity

Because once AI can generate almost anything…

the real differentiator becomes judgment.

And judgment is deeply human.

Not perfect.

Not mechanical.

Not buzzword-driven.

Human.

So maybe the real leadership challenge of the next decade is not:

“How do we become more innovative?”

Maybe it is:

🔥 “Can we become clear enough that innovation actually creates meaningful value?”

Because dragons thrive in fog.

But clarity?

Clarity forces them into the light.

🐉