AI Helped Me Write a Hit Pop Love Song — And Revealed Powerful Insights About Leading Humans Through AI-Driven Change & AI Adoption

By Alan Lowis

Recently, I released a love song and a full music video called “I’m Hooked on Your Love.”

At first glance that might seem unrelated to leadership, organizations, or artificial intelligence.

But the experience of creating that song revealed something important about how humans and AI will work together in the years ahead.

https://vimeo.com/1173189879

It’s a fun catchy tune that my young nieces and godkids love to dance to, and it brought a smile to the face of the woman I love. 

And, more importantly, it opens the door to a much bigger question:

What does thriving in the age of AI actually look like — for real people and real organizations?

Because whether we are ready or not, AI is rapidly reshaping how work gets done.

The pace of change is extraordinary.

Organizations that learn to adopt and leverage AI effectively will dramatically expand what their people can accomplish.

Those that hesitate, delay, or approach AI without clarity and leadership will increasingly fall behind.

Not because their people are less capable.

But because the tools that expand human capability are changing faster than most organizations are adapting.

There is an important reality many leaders miss.

Change actually happens in two steps.

First, people must become ready, willing, and able to embrace change. Only then can they successfully implement new tools, skills, strategies, and ways of working.

Most organizations attempt the second step first.

They deploy technology. They introduce new systems. They distribute tools.

But they never prepare people for the emotional and cognitive shift required to use them well.

And when AI is used well, it allows individuals and teams to move faster, think more broadly, experiment more cost effectively, and produce higher-quality outcomes than ever before in human history.

But… only when it is paired with human judgment, creativity, and leadership. Only when paired with people who are ready, willing, and able to use AI strategically, and effectively.

So my songwriting and video making became a meaningful test: What happens when one person effectively combines human creativity with modern AI tools?

What started as a playful creative project turned into an exceptionally powerful demonstration of what human + AI collaboration actually looks like in practice.

And it revealed many critical insights for leaders trying to guide their teams through this moment of change.

The Creative Constraint That Used to Kill Good Ideas

I’ve always been a writer. A poet. A songwriter. I have always loved and been inspired by music.

But I am not a trained musician.

I don’t read or write sheet music.

I don’t play instruments.

I don’t own a studio or have easy access to a recording studio.

I don’t have session musicians.

I don’t have a production team.

I do sing - even reasonably well on occasion - especially in the car or the shower.

And I often had ideas for songs but lacked the substantial time, tools & resources necessary to bring them to life.

When I was younger, I would spend weeks or months capturing fragments:hummed melodies, partial verses, lyric ideas recorded into a phone.

And then they would stall.

Because finishing a song traditionally meant navigating a long and complicated process:

• Knowing how to read and write musical notation to capture the idea • Playing instruments to give the music structure and form • Spending weeks refining lyrics, rhythm, and tone • Bridging the gap between thoughts, feelings, words, rhymes, and actual music• Hiring musicians and singers • Booking recording studio time • Paying engineers and producers • Coordinating production sessions • Iterating and adjusting lyrics, music, and vocals in real time and in editing • Often changing direction — scrapping, revising, reinventing, and rebuilding

And that was just the song.

Creating a video introduced an entirely new layer of complexity:

• Developing a visual concept • Writing a video script • Working within strict limits of what could realistically be produced • Creating storyboards and production plans • Funding animation or video production • Overseeing production teams • Iterating slowly and expensively

Even a modest independent song production could easily cost $10,000–$50,000.

And a high-quality animated stop-motion video — with characters, sets, and scenes — could easily cost $75,000–$150,000 or more.

The friction between imagination and execution was enormous.

So most ideas died in the gap.

And the same thing happens inside organizations every day — great ideas dying in the gap between vision and execution.

For years, it seemed my music, like many great possibilities, was destined to live only in my head and my heart.

Until AI...

This Time Was Different - AI Technology Unlocked Ability

This time, the song and the animated video were not trapped in my head.

They were brought to life in a cascade of creativity that unfolded end-to-end in a single day.

Not because AI magically created something from nothing. Not because AI replaced me. And not because AI is some all-powerful solution.

It happened because AI removed friction.

AI unlocked potential that was previously untapped. AI expanded the resources available to me. AI accelerated the process. AI helped translate imagination into reality faster than ever before.

The technology was a tool. AI was a resource. AI was an amplifier.

And I — as always — remained the creator.

But this time, I had capabilities at my command that previously required massive financial investment plus the time and talent inputs from entire teams of people with various abilities and expertise.

Make no mistake, AI was not the author of my song.It was my assistant, my partner, my augmenter, and my accelerator.

The process was still:

• Creative • Personal • Careful • Iterative • Emotional • Judgment-driven • and Human

AI accelerated the process, but it did not eliminate the necessity for human intelligence.

In fact, it worked precisely because human intellect, emotion, intention, and creativity initiated everything and remained deeply involved from beginning to end.

That is the distinction that changes everything.

The “Good, Fast, Cheap” Law Just Shifted

For decades, business operated under a painful but widely accepted rule:

You can’t have all three — Good, Fast, and Cheap. You have to pick two.

You could have:

Good + Fast (but not Cheap) Fast + Cheap (but not Good) Good + Cheap (but not Fast)

Simply put:

If you want it good and fast, it won’t be cheap. If you want it fast and cheap, it won’t be good.

For generations, that rule governed production, innovation, and execution, because creativity and intelligence were constrained by limitations in human effort and processing speed. For decades, leaders built entire business models around that constraint. 

But AI moves that needle - massively.

You still don’t want cheap and thoughtless.

The world is already being flooded with generic, repetitive, low-quality AI output — what some have started calling “AI workslop.”

That happens when people delegate thinking and creativity to AI instead of using it as a partner in creation.

But when you combine,

Human judgment Human taste Human emotional intent Human refinement Human intelligence Human intuition Human creativity Human vision Human expertise

with AI augmentation and acceleration… the results are nothing short of game-changing.

Progress is no longer just incremental — it is increasingly exponential.

You can now get:

Better and faster…  AND a dramatically lower cost.

Cheap thinking still produces cheap results.

But quality and speed are becoming far less expensive.

This isn’t theoretical.

When AI is used properly, this is already operational reality.

And the impact will only grow as AI — and eventually robotics — continue to advance.

The Real Breakthrough Wasn’t Just Speed: It Was the Amplification of Human Capability

The true breakthrough wasn’t simply that things moved faster.

The real breakthrough was the removal of friction between:

Imagination and capability Vision and execution Creativity and resources

For most of modern history, bringing ideas to life required enormous coordination.

It required:

• large teams • specialized expertise • multiple vendors • extensive budgets • long production timelines

What once required entire organizations can now often begin with one focused human and the right AI partner.

Resources that were previously unreachable are suddenly available in real time.

Processes that once demanded massive investments of time, equipment, and personnel can now happen almost instantly.

And the implications for business are enormous.

Organizations that adopt AI strategically, rapidly, and intelligently will unlock staggering advantages.

They will amplify their resources. They will expand their teams’ capabilities. They will accelerate learning and experimentation.

In many cases, they will be able to accomplish 10x more with the same people.

Organizations that remain trapped by fear, uncertainty, or resistance risk falling behind.

Not because their people lack talent. But because the tools that amplify human capability are changing faster than their organizations are adapting.

This Pattern Has Happened Before

Human history is filled with moments when new technology dramatically expanded what individuals and organizations could accomplish.

A farmer once plowed fields by hand.

Then came horse-drawn plows.

Then tractors.

Today a single modern farmer can cultivate hundreds or even thousands of acres with machinery, automation, and advanced tools.

The same pattern happened in countless industries.

Factories replaced manual workshops. Calculators replaced hours of manual arithmetic. Computers replaced rooms full of paper ledgers.

Each wave of technology dramatically expanded human capability.

AI represents the next phase of that evolution.

Not because it replaces people. But because it multiplies what capable people can accomplish.

What AI Actually Does (When Used Well)

When deployed strategically, AI dramatically expands what individuals and teams can accomplish.

It helps remove the friction that has historically slowed creativity, problem-solving, and execution.

AI can:

• Remove friction between an idea and its first usable form • Compress learning cycles (draft → test → refine → improve in minutes) • Extend human capability beyond formal training • Reduce dependency on large production pipelines • Dramatically lower the cost of experimentation • Accelerate thinking and rapid iteration • Surface options and patterns humans might miss • Expand creative exploration without exhausting people or budgets • Help structure complex ideas and decisions • Enable individuals to accomplish what previously required entire teams

But... only when it is guided well.

AI alone does not create meaningful outcomes.

A powerful tool in untrained hands can create confusion, inefficiency—or even damage.

A scalpel in the hands of a skilled surgeon can save a life.

The same scalpel in untrained hands can cause serious harm.

AI is no different.

Used passively, it produces mediocre results.

Used thoughtfully, it becomes a force multiplier for human capability.

The Difference Leaders Must Understand

There is a massive difference between:

AI Alone and Human + AI

AI Alone = automation and loss of control Human + AI = augmentation and acceleration

Augmentation includes:

• Emotional intent • Strategic direction • Context awareness • Judgment • Taste • Ethical guardrails • Purpose

That difference determines whether AI creates leverage—or chaos.

What This Means for Your Organization

The small creative experiment I described may seem personal, but the implications are far broader.

What happened in writing a song and producing a video is happening right now across nearly every industry.

• Law firms are using AI to accelerate legal research and drafting.

• Medical organizations are using AI to analyze imaging and clinical data faster than ever before.

• Manufacturers are using AI to optimize production systems and supply chains.

• Marketing teams are using AI to generate ideas, test messaging, and iterate campaigns at unprecedented speed.

• Product teams are using AI to prototype concepts faster than traditional development cycles ever allowed.

But those examples are only the beginning.

In many cases, these uses represent the surface level — the tip of the iceberg of what AI can actually do.

The more profound opportunities emerge when organizations begin to rethink how work itself is designed, how problems are solved, and how decisions are made.

Across industries, AI is compressing the distance between idea, experimentation, and execution.

Creation cycles are shrinking. Learning cycles are accelerating. Capabilities that once required large teams are becoming accessible to individuals.

But here is the uncomfortable truth.

Most organizations are not struggling with access to AI tools.

They are struggling with three far more difficult challenges.

1. Human readiness and adaptability

People must be willing to embrace change, experiment with new tools, and rethink how their work is done.

Fear, uncertainty, and identity disruption often slow adoption long before the technology becomes the limiting factor.

2. Strategic integration

Many organizations are experimenting with AI in scattered ways — individual employees trying tools on their own, isolated pilots, or one-off use cases.

Without a cohesive strategy, these efforts remain fragmented and fail to unlock meaningful value.

3. Strategic imagination

The most powerful uses of AI are often not the obvious ones.

They emerge when leaders develop a deeper understanding of what AI actually makes possible — and where it can fundamentally transform how work gets done.

The technology itself is advancing rapidly. But in many organizations, organizational readiness is lagging behind.

And the gap between those two realities is where most companies are quietly getting stuck.

Why Most AI Adoption Efforts Stall

Despite the excitement surrounding AI, the reality inside many organizations is far more uneven.

Recent global research shows a striking pattern:

• Many organizations are experimenting with AI

• Far fewer are successfully scaling it

• And only a small percentage are seeing transformational results
  

Recent enterprise studies suggest that over 95% of AI initiatives fail to reach full production scale or deliver significantly less value than expected.

At the same time, surveys indicate that a majority of employees with access to AI tools rarely use them effectively in their daily workflows.

The technology is advancing rapidly.

But human adoption is moving far more slowly.

And that gap is where most AI initiatives quietly stall.

The reason is not primarily technical. In most cases, organizations already have access to powerful tools.

The problem lies elsewhere.

The 3 Reasons Most AI Adoption Efforts Fail

Most AI adoption efforts fail for predictable reasons and that failure can be prevented.

1. Employees Experience Fear, Uncertainty, and Identity Disruption

AI introduces a deeper psychological challenge than most technologies.

People naturally ask:

• Will this replace me?

• Will my skills still matter?

• Am I falling behind?
  

When these questions go unaddressed, employees often respond in predictable ways:

• avoidance

• quiet resistance

• superficial experimentation without real adoption
  

Not because they are unwilling to learn.

But because uncertainty creates hesitation, or worse resistance.

2. Leaders Never Clarify Where AI Creates Real Value

Many organizations begin their AI journey with enthusiasm but without focus.

They experiment broadly but lack clarity about where AI can create meaningful operational impact.

Without clear priorities, teams experiment randomly.

Some tools get attention. Others are ignored.

And the organization never develops momentum.

3. Tools Are Distributed Without Training & Integration

In many organizations, AI tools are simply handed to employees with minimal guidance.

Teams are encouraged to “experiment.”

But without training to embrace change and to do what is needed for integration into real workflows, the tools remain optional. And optional tools rarely change how work actually gets done.

Real adoption requires intentional integration into:

• decision-making

• problem solving

• research

• communication

• creation

• operational workflows
  

Without that integration, AI remains a novelty rather than a capability.

Where the Real Work for AI Adoption & Integration Begins

If most AI adoption efforts stall because of human readiness, strategic clarity, and integration challenges, then the solution is not simply more tools.

The real work begins earlier.

It begins with leadership and training.

Successful AI adoption does not start with software. It starts with preparing people.

Before organizations can meaningfully integrate AI into how work gets done, leaders must address the human factors that determine whether adoption will succeed or fail.

That means focusing on the critical foundations first:

Eliminate fear. People must understand that AI is not simply a threat to their role. When fear dominates, experimentation stops before it ever begins.

Create focus. Teams need clarity about where AI actually creates meaningful value. Without focus, organizations end up with scattered experiments instead of real capability.

Build emotional readiness for adoption.

Major technological shifts disrupt identity and comfort zones. Leaders must help people develop the confidence to learn and adapt.

Create openness and capacity for change.

Curiosity, experimentation, and continuous learning must become normal parts of how the organization operates.

Accelerate learning and growth.

People need hands-on opportunities to experiment with AI in real situations — not just theoretical training.

Only after these foundations are in place can the next step happen:

Strategically integrating AI into real workflows.

When organizations skip these earlier steps and jump straight to tools, adoption stalls.

But when leaders combine clear leadership with practical training, something very different happens.

AI stops feeling like an external disruption.

It becomes an amplifier for human capability.

And that is when the real transformation begins.

Because tools alone never create results. Leadership and training do.

Why F.O.C.U.S™ Determines AI Success

In many organizations, AI adoption efforts stall because leaders treat AI as a technology rollout rather than a leadership challenge.

But real transformation does not happen when tools are distributed.

It happens when leaders guide people through the changes in thinking, behavior, and capability that new technology requires.

This is why the same leadership principles that drive high-performing teams also determine whether AI adoption succeeds or fails.

In our work with organizations, we use the F.O.C.U.S.™ Leadership Framework to guide that process.

Each element addresses a critical factor in helping people adapt, learn, and apply new capabilities effectively.

F – Focus First

The most common failure in AI initiatives is a lack of clarity about where AI actually creates value.

Without focus, organizations experiment randomly and never build momentum.

Leaders must identify the specific problems, processes, and opportunities where AI can deliver meaningful impact.

When focus is clear, experimentation becomes purposeful and results begin to compound.

O – Own Your Emotions

Major technological shifts often trigger fear, uncertainty, and resistance.

People may worry about losing relevance, falling behind, or being replaced.

Leaders who acknowledge these emotional realities — and help teams move through them — create the psychological safety required for learning and experimentation.

When emotions are managed well, curiosity replaces resistance.

C – Communicate with Clarity

AI initiatives often fail because leaders assume everyone understands the vision.

But without clear communication, teams interpret change in very different ways.

Effective leaders clearly explain why AI matters, how it will be used, and what success looks like.

Alignment reduces confusion and accelerates adoption.

U – Unlock Solutions

Once people are ready and aligned, and once they are trained to effectively solve problems, make smart decisions, and think critically, AI becomes a powerful tool for solving real problems.

Teams can analyze information faster, generate ideas more rapidly, and test solutions with far less cost and friction.

When applied thoughtfully, AI expands the range of solutions organizations can explore and the speed at which they can explore them, ultimately leading to more powerful outcomes than were previously possible.

S – See the Drivers

Human behavior is driven by deeper motivations — security, purpose & meaning, recognition, connection, curiosity & variety, growth, and contribution.

Leaders who understand what motivates their teams can create environments where experimentation and learning feel rewarding rather than threatening.

When these drivers are activated, adoption accelerates naturally.

When all five F.O.C.U.S™ elements are working together, AI stops being a novelty or a threat. It becomes a capability multiplier.

And organizations that develop this capability will not simply adopt AI.

They will outlearn, out-experiment, and out-execute competitors who approach AI as just another tool.

AI is the accelerator. Focus and training ultimately determine the direction where AI will take you.

The Truth About AI That Most Leaders Are Now Discovering

Leaders and organizations experimenting with AI are beginning to discover something important: The challenge is not access to tools.

Most companies already have access to powerful AI systems.

The real challenges are two very different — and far more difficult — leadership problems.

First, understanding what AI can actually do.

Most organizations are still using AI at the most obvious surface level — drafting emails, summarizing documents, generating quick content.

Those uses can be helpful.

But they represent only the tip of the iceberg.

The deeper opportunities emerge when leaders begin to rethink how work itself can change.

AI can accelerate research, compress decision cycles, generate strategic options, simulate scenarios, uncover patterns in data, assist in complex problem-solving, and dramatically expand the range of what individuals and teams can accomplish.

But those possibilities only become visible when leaders invest the time to truly understand the technology and where it can create meaningful advantage.

Second, helping people embrace it and learn how to use it effectively.

Even when tools are available, adoption does not happen automatically.

People must develop:

• confidence that the technology is there to assist them, not replace them • curiosity about how it might improve their work • practical skills for applying it effectively in real situations

Without that learning process, AI remains an unused capability rather than a transformative one.

And that is the leadership challenge of this moment.

Organizations must understand the technology deeply enough to see the opportunity… and develop their people enough to actually use it well.

There is an old observation about how change happens in the world.

Some people make things happen.

Some people watch things happen.

And some people look around afterward and ask, “What happened?”

The same pattern will play out in the age of AI.

Some organizations will shape the future.

Some will watch their competitors shape it.

And some will eventually wake up and wonder how they fell so far behind.

The question every leader must now answer is simple:

Which one will you be?

And more importantly:

Which one will your organization become?

An Importan Invitation for You

If you want your organization to shape what comes next — rather than watching it happen or wondering what happened — your next step is simple.

As a leader, your role is twofold.

First, you must understand what AI makes possible, embrace it, and learn how it can be applied strategically within your organization.

Second, you must help your people become ready, willing, and able to embrace the change — developing the confidence, mindset, and skills needed to use the right AI tools effectively in the right ways.

That is the work we help organizations do.

Through our AI Accelerator™ and F.O.C.U.S.™ Leadership Programs, we help leaders and teams:

• understand where AI creates real strategic value • eliminate fear and resistance to change • develop practical capability with multiple AI tools • integrate AI intelligently into real workflows and decision-making

Our programs include:

• Executive AI Keynotes • 4-Hour AI Productivity Workshops • 4-Hour AI Creativity Workshops • Full-Day AI Accelerator™ + F.O.C.U.S.™ Leadership Immersions • Strategic AI Adoption Advisory

To explore how AI can expand what your organization is capable of accomplishing, schedule a brief 10-Minute AI Clarity Call with us now.