By Most companies aren’t failing because they can’t come up with ideas. They’re failing because they’re solving the wrong problems—and, according to innovation strategist Kevin Popović, artificial intelligence is now accelerating that failure at scale.
Popović has spent thousands of hours inside innovation-focused organizations trying to innovate—Fortune 500 teams, startups, nonprofits, and universities. He’s watched brilliant people build impressive solutions that ultimately fall flat because the team never aligned on what problem actually mattered.
Now, as AI becomes embedded in every workflow, Popović believes this core issue has reached a breaking point.
“AI amplifies whatever direction you’re facing,” he says. “If the direction is wrong, AI just gets you lost faster.”
Popović, Director of Innovation at The Idea Guy and creator of the AMPLIFIED! system, is not anti-AI. He’s anti-misuse of AI—especially when organizations rush into automation before they’ve done the human work of understanding.
The Activity Trap: When Motion Replaces Meaning
Popović has observed the same pattern across industries: Teams equate speed with progress. Leaders reward fast action. Brainstorms begin before clarity exists. Busyness becomes a badge of honor.
It’s what he calls the Activity Trap—a cycle where movement feels productive even when it produces nothing of value.
In this environment, slowing down to define a problem can feel uncomfortable or inefficient. But Popović argues that it’s the most essential part of the process. The time spent clarifying a problem reduces wasted effort later. Teams that skip this step, he says, end up “solving with confidence instead of solving with understanding.”
When AI arrived, many organizations assumed it would fix this. Instead, Popović watched it magnify the issue. Some teams blindly trusted AI to generate answers to undefined problems. Others dismissed AI entirely, missing opportunities for acceleration.
Both responses, he argues, miss the point: AI cannot define meaning. It can only accelerate what humans already understand.
HI × AI: A Model for Thinking Before Creating
Popović’s solution is HI × AI, a model that pairs Human Insights (HI) with Artificial Intelligence (AI) in the right sequence.
Human Insights come first: empathy, observation, context, purpose.
Artificial Intelligence comes second: pattern recognition, expansion, acceleration.
In practice, this partnership works as a continuous loop—human insight shapes meaning, AI expands and accelerates understanding, and each cycle sharpens clarity before action.
The combination is what enables smarter, more impactful innovation.
This philosophy drives AMPLIFIED!, the system Popović built to help organizations identify the right problem before creating the right solution. The approach blends design thinking, creativity, and research, all anchored in real human understanding.
Unlike many innovation frameworks, AMPLIFIED! doesn’t depend on inspiration or abstract theory. It’s a structured workflow that teaches people how to think clearly, collaborate effectively, and communicate their reasoning—skills that become even more valuable in the era of AI.
As Popović puts it:
“AI is a multiplier. If your thinking is unclear, it multiplies confusion.
If your thinking is strong, it multiplies capability.”
A Career Built Across Creativity, Strategy, and Education
Popović’s perspective is shaped by an unusually diverse career that spans creativity, strategy, and education. He founded an award-winning creative agency recognized as both Best Creative Department and Best Boutique Agency, and later served as Director of the ZIP Idea Lab at San Diego State University, where he helped generate more than 3,300 hours of consulting for students and startups. He also held the prestigious Zahn Chair of Creativity and Innovation, published Satellite Marketing in 2016, and delivered a TEDx talk on how creativity can change the world.
Across these roles and environments, Popović observed the same fundamental issue again and again: people don’t struggle to generate ideas — they struggle to define the right problems.
One of his notable projects involved Meals on Wheels San Diego County. By helping the organization clarify its strategic direction, Popović laid the groundwork for the creation of its Innovation Hub. The organization’s CEO later shared that the process “helped them dream bigger” and aligned leadership around a shared vision.
For Popović, outcomes like these matter more than awards. They signal real capability — teams thinking more clearly, making better decisions, and solving problems that truly matter.
Putting Humans Back at the Center of Innovation
What sets Popović apart in the crowded innovation landscape is his insistence that technology cannot replace what humans uniquely provide: empathy, judgment, nuance, and meaning.
While many innovation practitioners have pivoted to AI-first approaches, Popović leans into the opposite direction. The work begins with people.
“AI doesn’t know your customers,” he says.
“It doesn’t understand your culture, your constraints, or your values.
Humans do. AI helps you move once you know where you’re going.”
In an era obsessed with speed, Popović represents an alternative narrative: Relevance requires slowing down before speeding up.
Where AMPLIFIED! Is Heading Next
Over the next several years, Popović plans to expand AMPLIFIED! beyond a single methodology and into a full innovation ecosystem. The vision includes hands-on workshops for professionals and students, facilitator certification programs, and organizational toolkits designed to help teams apply the thinking independently. He is also developing an AI agent trained on the HI × AI workflow, alongside digital resources that support organizations in building internal innovation capability rather than outsourcing it.
Popović envisions companies running their own AMPLIFIED! labs — not dependent on external consultants, but powered by people inside the organization who have learned how to think with clarity and create with confidence.
In his view, the next generation of innovative leaders will not be defined by their fluency with AI alone, or by human intuition in isolation. They will be defined by their ability to combine the two — using Human Insights to see more clearly and Artificial Intelligence to accelerate learning and action with intention.
AI is not the cure for unclear thinking. It is the amplifier of it. Teams that succeed treat thinking as iterative—returning to human insight again and again, while using AI to accelerate learning rather than replace it.
Popović’s message is simple but urgent: Before organizations rush to integrate AI into their workflows, they must learn how to identify the right problems—work that only humans can do.
“The smartest teams aren’t asking how to use AI,” Popović says.
“They’re asking how to think better so AI has something worth amplifying.”
