Train Your Brain to Outthink AI Boost Creativity 40% (2025)
Killer Innovations with Phil McKinney
Release Date: 05/13/2025
Killer Innovations with Phil McKinney
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info_outlineKiller Innovations with Phil McKinney
Harvard neuroscientists confirm: creative thinking uses neural pathways that AI can't replicate – and never will. Hello, I'm Phil McKinney, and welcome to my innovation studio. Welcome to Part 2 of our series, – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. In Part 1, we explored the alarming decline in creative thinking as we've grown dependent on AI. We saw how our ability to solve complex problems without algorithmic assistance has dropped by 30% in just five years, and how this cognitive atrophy affects everyone from students to...
info_outlineKiller Innovations with Phil McKinney
Harvard neuroscientists confirm: creative thinking uses neural pathways that AI can't replicate – and never will. Hello, I'm Phil McKinney, and welcome to my innovation studio. Welcome to Part 2 of our series, – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. In Part 1, we explored the alarming decline in creative thinking as we've grown dependent on AI. We saw how our ability to solve complex problems without algorithmic assistance has dropped by 30% in just five years, and how this cognitive atrophy affects everyone from students to...
info_outlineKiller Innovations with Phil McKinney
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info_outlineKiller Innovations with Phil McKinney
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info_outlineHarvard neuroscientists confirm: creative thinking uses neural pathways that AI can't replicate – and never will.
Hello, I'm Phil McKinney, and welcome to my innovation studio.
Welcome to Part 2 of our series, Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement.
In Part 1, we explored the alarming decline in creative thinking as we've grown dependent on AI. We saw how our ability to solve complex problems without algorithmic assistance has dropped by 30% in just five years, and how this cognitive atrophy affects everyone from students to seasoned professionals.
Today, we're moving from problem to solution – exploring the revolutionary science of neuroplasticity and how we can deliberately rebuild and enhance our creative thinking skills.
What's at stake here goes far beyond individual convenience. If we continue to surrender our creative thinking abilities to AI, we risk a future where innovation slows, where original ideas become increasingly rare, and where our unique human capacity for breakthrough thinking gradually fades. More critically, we may lose the very cognitive tools required to solve society's most pressing challenges – disease, pandemic response, clean energy development, food security – precisely when we need these abilities most.
We're already seeing early evidence of this decline, but the science I'll share today offers a powerful alternative – a path to not just preserve but dramatically enhance the creative abilities that drive human progress.
I've seen this firsthand in my work leading innovation teams. Years ago, I noticed that even brilliant engineers and designers would hit creative walls. When I introduced specific neuroplasticity-based thinking exercises into our daily routines, the transformation was remarkable. Teams that had been spinning their wheels suddenly generated breakthrough concepts. Projects that seemed stuck found fresh momentum. And the most exciting part? The improvements continued long after the initial training.
These transformations aren't magic – they're biology in action. Your brain is changing right now as you watch this video. Every thought you have, every skill you practice, and every challenge you undertake physically reshapes your neural architecture. This isn't metaphorical – it's literal, structural change happening at the cellular level.
This phenomenon – called neuroplasticity – is the brain's ability to reorganize itself by forming new neural connections. And our key to reclaiming and enhancing our creative thinking abilities in the age of AI.
For decades, scientists believed that brain development stopped after childhood. We now know that's completely false. Your brain remains malleable throughout your entire life, capable of dramatic transformation well into your 80s and beyond.
Research has shown that our brains continually remodel themselves based on our experiences and practices. Think of it like a path in a forest – the routes you travel most frequently become wider and clearer, while those rarely used gradually disappear.
Now, I understand some skepticism here.
We've all seen dubious claims about "brain training" games and apps that promise to boost intelligence. Most of these have been rightfully criticized for overpromising and underdelivering.
The difference with creative neuroplasticity training is that it's not about playing generic puzzles – it's about targeted exercises that specifically engage the neural networks involved in creative thinking. And unlike those commercial products, these approaches have substantial peer-reviewed research supporting their effectiveness.
The implications are profound. If our cognitive abilities are declining due to AI dependency, as we discussed in the last episode, we can deliberately reverse this trend through targeted exercises and practice.
Let's be honest – breaking AI dependency isn't easy. Many of us have developed reflexive habits of turning to algorithms before engaging our own thinking. Our brains naturally seek the path of least resistance. But the research is clear: the effort to rebuild these creative pathways is absolutely worth it. And the good news is that even small, consistent practice can yield significant results.
The science behind this is compelling. A landmark study at Harvard Medical School used functional MRI to track brain activity before and after an 8-week creative thinking training program. The results were striking.
Before training, participants showed activity primarily in conventional problem-solving regions when tackling creative challenges. After training, their brains revealed significantly increased activity in regions associated with novel idea generation and reduced activity in regions associated with conventional thinking.
What's even more fascinating is that the neural training correlated with a 43% increase in measured creative output. The participants weren't just thinking differently – they were producing significantly more original ideas.
This is neuroplasticity in action – physical changes in your brain leading to measurable improvements in creative capacity.
But neuroplasticity works both ways. When we outsource our thinking to AI, the neural pathways associated with creative problem-solving literally weaken from disuse. It's a biological principle called "competitive plasticity" – the brain reallocates resources away from underused functions toward frequently used ones.
The good news is that this process is reversible. Even if you've grown dependent on AI for creative tasks, your brain can rebuild these pathways through deliberate practice.
Let me share a personal experience from my own work.
I once coached a senior product designer and their team at a major tech company who were tasked with developing disruptive ideas in an area where three major competitors were already investing heavily. When we started working together, they were stuck, repeatedly generating variations of the same concepts and feeling increasingly frustrated.
Brain science would suggest their neural pathways had become rigid through years of conventional problem-solving. So we implemented a series of targeted creative thinking exercises. Within eight weeks, something remarkable happened.
Not only did their idea generation rate triple, but the quality of their concepts shifted. They developed a breakthrough approach that combined elements no one had previously connected, essentially creating an entirely new product category.
When we brought in AI tools to analyze the solution space, the team's most innovative concepts fell completely outside the AI's prediction patterns. What does this mean? The neural connections they had formed with their training weren't following the statistical patterns the AI model had learned.
The product they launched went on to capture significant market share precisely because it operated from a different conceptual framework than competitors. This wasn't just a professional transformation. It had a personal impact. This senior product designer reported feeling a renewed sense of cognitive confidence that extended into other areas of their life as well.
These transformations aren't random. The science of neuroplasticity has identified four core domains of creative thinking that respond most dramatically to training:
- Cognitive Flexibility – your ability to switch between different thinking modes and consider multiple perspectives simultaneously. For example, seeing a coffee cup not just as a vessel for liquid but also as a plant holder, a pencil container, or a sound amplifier. This domain is largely governed by the prefrontal cortex, which neuroimaging studies show becomes significantly more active after flexibility training.
- Associative Thinking – your ability to connect seemingly unrelated concepts to form novel ideas. Like combining the principles of bird migration with urban traffic patterns to create a new adaptive traffic light system. This involves the default mode network, which strengthens with exercises that encourage unexpected connections.
- Divergent Thinking – your ability to generate multiple solutions to an open-ended problem. For instance, coming up with twenty different uses for a brick beyond construction, such as a doorstop, paperweight, art canvas, or heat reservoir. This engages the frontal and temporal lobes, which show increased connectivity after divergent thinking practice.
- Constraint Breaking – your ability to identify and overcome hidden assumptions limiting your thinking. Such as recognizing that when asked to "connect nine dots with four straight lines," the assumption that you can't go outside the imaginary square is self-imposed. This correlates with increased activity in the anterior cingulate cortex, which helps detect cognitive conflicts.
Each of these domains weakens with AI dependency but rebuilds with targeted practice.
What excites me most is that there are practical exercises anyone can use. In my innovation workshops, we've adapted these into simple daily practices that build creative muscle memory:
- Five-minute morning sessions of rapid association between unrelated concepts
- Brief midday "constraint-breaking" challenges where teams identify and discard hidden assumptions
- End-of-day reflection exercises that alternate between focused and diffuse thinking modes
These aren't complex or time-consuming – they're deliberate mental practices that target the exact neural networks we need to strengthen. And remarkably, participants report greater idea fluency within just days of consistent practice.
Let me demonstrate one of these domains with a quick exercise that you can do right now. We'll focus on cognitive flexibility.
I want you to visualize a circle. Just a simple circle. Now, in your mind, transform this circle into something else by adding just one line. Now add one more line and transform it again. One more time – add another line and see what new object emerges.
I will give you 30 seconds. Imagine a simple circle and transform it three times, adding a line each time.
I will wait. Go!
How did you do?
This exercise activates your prefrontal cortex – the brain region responsible for cognitive flexibility. Most people initially create predictable objects: a face, a sun, or a balloon. But as you practice, your brain begins forming less common connections. Advanced practitioners might see a clock becoming a bomb becoming a planet becoming an eye.
Brain scans reveal increased neural firing in creative regions even during this simple 30-second exercise. You're literally strengthening synaptic connections that enhance your creative thinking.
The timeline of these changes follows a clear and consistent pattern:
- Within days of consistent practice, creative neural pathways strengthen, showing up as increased activity in brain scans
- After two weeks, you'll notice measurable improvements in your creative output
- By six weeks, researchers have documented the formation of new white matter pathways – the brain's information highways, meaning participants' brains were physically different.
- At eight weeks, these changes become stable enough to resist the pull back toward AI dependency.
This gives us a clear roadmap for reclaiming our creative capacities: commit to eight weeks of practice, with meaningful milestones along the way.
This transformation is remarkably accessible. Just 10 minutes of daily practice can trigger these changes. In our next episode, I'll guide you through a complete workout, but here's a preview of the two core approaches we'll use:
- Mindful Creativity – approaching familiar tasks with deliberate curiosity. For example, during your morning routine, challenge yourself to notice five new details about objects you use every day. This simple practice activates the cognitive flexibility networks we discussed earlier.
- Alternating – deliberately switching between focused thinking and relaxed daydreaming. This might look like setting a timer for 3 minutes of intense problem-solving followed by 2 minutes of completely unfocused mind-wandering. This oscillation strengthens the associative thinking pathways that AI dependency weakens.
These aren't just theoretical concepts – they're the foundation of the 10-minute daily workout I'll guide you through in our next episode. Each exercise targets explicitly the neural networks involved in the four creative thinking domains we've explored today.
What makes these practices so powerful is the underlying principle we've discussed throughout: our brains physically change based on how we use them. This biological fact puts the choice squarely in our hands. Either we surrender our cognitive processes to algorithms, or we deliberately strengthen these uniquely human abilities.
The stakes are higher than we might realize.
If we do nothing, then we face a future of diminished creativity, which means technological progress that plateaus, businesses that can only optimize rather than reimagine, and education that produces technically proficient but intellectually passive graduates.
This is precisely what Bonhoeffer warned about in writing on “stupidity” – not as a lack of intelligence, but as the voluntary surrender of independent thinking. As we discussed in the first episode, Bonhoeffer observed that people become 'stupid' not because they lack capacity, but because they willingly abandon critical and creative thought to “others”. This surrender happens gradually, unnoticed, as we choose comfort over challenge.
With AI, we face exactly this choice.
Will we surrender our creative faculties to algorithms, essentially choosing a form of 'creative stupidity'?
Will we create a society where independent thinking grows rare, not because it's forbidden, but because it's surrendered?
Will we accept a world where ideas are judged by their conformity to algorithmic patterns rather than their originality?
But that's not the future we have to choose.
Join me in the next video in the series for "The Creative Brain Workout," where I will guide you through 10 minutes of exercises that trigger the neural changes that will help you build stronger, uniquely human creative thinking skills that AI simply cannot replicate.
Until then, I'm Phil McKinney, and remember – in an age of artificial intelligence, your mind remains remarkably adaptable. The power to reshape your creative thinking is literally in your hands.
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