The Grumpy Innovator: Why Good Ideas Don’t Always Win

Costas Papaikonomou on disruption, decision-making, and the overlooked power of the obvious.

Innovation has become a kind of corporate reflex.

When growth slows or markets shift, the instinct is often the same: disrupt, reinvent, transform.

But according to Costas Papaikonomou, an innovation expert, entrepreneur, co-founder of Una Terra, and author of The Disruption Fallacy and The Grumpy Innovator series, that instinct can be misleading.

After decades working across product design, engineering, and global consumer goods innovation, he has come to a more pragmatic view:

The problem isn’t a lack of ideas. It’s how organizations decide which ones matter.

Why Good Ideas Don’t Always Win

Inside large organizations, innovation is rarely a free-flowing process. Instead, it is governed by systems—stage gates, metrics, and risk controls—designed to manage uncertainty.

But those systems can produce unintended consequences.

Costas describes a reality where:

“People are rewarded for not killing ideas… rather than for advancing the right ones.”

In that environment, ideas that feel safe—or align with existing assumptions—are more likely to survive. Stronger ideas that may challenge those assumptions are often filtered out early.

The Missed Opportunity Problem

One of the most persistent patterns Costas has observed is the failure to act on obvious opportunities.

In one example, consumer research revealed that a deodorant’s key value wasn’t stronger performance or longer protection—but its ability to neutralize odor without adding fragrance.

The insight was clear. But it was ignored.

Instead, the product was pushed toward extending protection time—an easier, more familiar metric that ultimately delivered no meaningful improvement.

This kind of decision is not unusual. It reflects a broader tendency for organizations to prioritize what is measurable and manageable over what is meaningful.

The Two Systems of Innovation

Costas describes innovation inside large companies as operating within two parallel systems:

• The official system: structured processes, stage gates, and formal evaluation
• The unofficial system: internal “rebels” who understand how to navigate—or bypass—the rules

The Disruption Fallacy

If internal systems shape outcomes, the broader cultural obsession with disruption adds another layer of distortion.

Disruption, when it happens, is typically a response to a clear and urgent need—not a strategy in itself.

Innovation as a Business Tool

At its core, Costas sees innovation not as a goal, but as a tool.

A way to ensure that a company’s products or services remain aligned with evolving market needs.

That often means focusing on smaller, less visible changes.

In one case, simply reframing a motor oil product from technical specifications to a more consumer-friendly positioning—“high mileage vehicle oil”—significantly improved its performance in the market.

Not disruptive. But effective.

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In this Trendsetters conversation, we discuss:

• You’ve spent decades in what you call the “birth chambers” of innovation—yet you describe yourself as “grumpy.” What broke your optimism first: the ideas, the systems, or the people?

• Why do so many bad ideas survive internal systems—while good ones die early? Is it politics, process, or fear dressed up as rigor?

• You ask a haunting question: why are obvious opportunities so often ignored?

• Your latest book, The Disruption Fallacy, argues that progress comes more from evolution than disruption. That’s almost heretical in today’s business culture. What are we getting wrong about progress?

• You argue that disruption is often misplaced. In your experience, what are companies most likely to “disrupt”… that they absolutely shouldn’t?

• We’re entering an era where AI can generate ideas instantly. Does this accelerate innovation—or just the illusion of it?

• Innovation is one of the most overused words in marketing. What does the word “innovation” hide more than it reveals?

• In your books, you include a kind of “innovation survival guide.” What’s one piece of advice for someone inside a large organization trying to protect a good idea?

• After everything you’ve seen—failures, false starts, and the occasional success—what still gives you hope that innovation can actually make things better?

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AI and the Next Layer of Complexity

As artificial intelligence enters the innovation process, it brings both opportunity and risk.

Costas sees clear potential for AI to improve efficiency—particularly in incremental innovation—freeing human creativity to focus on more meaningful growth opportunities.

But it also raises new questions.

If organizations already operate within a “managed” version of reality, AI may simply reinforce and scale it.

The implication is clear:

When ideas become easier to generate, the real challenge becomes judgment.

A Shift Back to Reality

Interestingly, Costas notes a broader shift underway.

After years of focusing on emerging markets, many consumer goods companies are now returning to their home markets—reconnecting with more familiar, and often more immediate, consumer needs.

It’s a subtle but important shift.

Less about expansion. More about relevance.

The Judgment Advantage

For all the attention given to disruption, Costas Papaikonomou ultimately arrives at a different conclusion.

Progress depends less on generating more ideas than on recognizing which ones matter.

In a world increasingly shaped by AI, automation, and endless streams of information, that distinction becomes even more important. Ideas may become abundant. Judgment remains scarce.

Progress doesn’t depend on breaking everything.

It depends on understanding what matters—and making better decisions because of it.