“It was the best of times, it was the worst of times...”

Charles Dickens wrote those words about upheaval, uncertainty, and transformation. Nearly two centuries later, small and medium-sized businesses are standing in a remarkably similar moment. Operating costs are rising. Competition is intensifying. Customers are changing faster than many businesses can adapt. At the same time, artificial intelligence is introducing capabilities that were once accessible only to large enterprises with massive budgets and specialized teams.

For many business owners, that contradiction creates both fear and opportunity. The technology feels unfamiliar. The pace feels relentless. The pressure to change feels unavoidable.

But beneath the surface, something important is happening:

AI is beginning to reduce some of the historic advantages of scale. For the first time in years, SMBs can access tools that improve decision-making, accelerate execution, increase productivity, and strengthen customer engagement without needing enterprise-level resources.

The businesses that benefit most will not necessarily be the biggest. They will be the ones who learn how to combine operational discipline, customer understanding, and practical AI-enabled execution faster than the competition.

In short, they understand that AI is a profit accelerator. That efficiency, productivity, and innovation are made possible by assigning job tasks to AI and job purposes to people.

AI does this by optimizing, accelerating, and automating the busy work.  By reducing or eliminating the time drains that get in the way of more important things, such as judgment, relationships, creativity, customer experience, selling, problem-solving, and execution quality.

Profits grow when we successfully bridge the gap between operational productivity and human purpose, flipping the scales in favor of human purpose.

Most SMB owners are worried about rising costs, relentless disruption, and the fear of replacement. For retailers, these are real, as are the intense competitive pressures. Our AI thesis is a way to reframe these fears and change the emotional equation. I am not talking about technology, or automation, or AI magic. Just a new way to look at your business and new tools to do it.

First, it’s important to understand that AI is not deployed; it is designed. AI is the first technology that adapts to you, not the other way around.

Focus on workflows, friction, and opportunity. Don’t get hung up on the AI or the blinding rate of change that comes with it.

Businesses perform better when people experience less operational friction and have more time to serve customers, solve problems, and make decisions. That leads to operational relief, clearer priorities, stronger execution, and more engaged and productive teams.

AI is not magic. It is a practical tool for optimizing, accelerating, and automating job tasks so people can focus on job purpose.

By reducing repetitive work, reporting delays, disconnected workflows, and operational drag, SMBs gain something many large organizations struggle to achieve: speed, adaptability, and closer alignment with customers.

By removing unnecessary complexity and focusing on practical application, AI adoption becomes more approachable, more believable, and far less risky for SMB operators.

Many businesses have experimented with AI, but far fewer have produced measurable operational or financial results. In many cases, the problem is not the technology itself. The problem is that AI was introduced before the business clearly defined the operational problem it was trying to solve or the metric that would define success.

After many conversations and research, I believe the most effective, and perhaps easiest way to measure AI effectiveness is ROA, return on assets. Not in the sense of gap accounting, but in terms of assets and expenses that already exist in the business. For all the money you spend or tie up in inventory, labor, occupancy, and IT/tech, how much profit do they produce? In other words, what is the rate of return? The higher the percentile rate is, the more profitable your business. AI enables better utilization of these resources, which in turn accelerates profits.

When we say better utilization, we actually mean more productive, efficient, and frictionless.

Let’s drill down on this: Return on Operating Assets includes:

  • inventory productivity,

  • labor productivity,

  • occupancy productivity,

  • technology productivity.

Let me be clear about one very important thing: labor productivity is not “squeeze more output from employees.” Nor is it shrink, reduce, or right-size. It’s all about removing repetitive operational drag so people can spend more time on higher-value work.

Just as inventory productivity is not about margin. It’s about return on inventory investment. Occupancy sales or gross profit per square foot, and technology that creates value in excess of the cost to own and operate it.

Think of it this way: AI helps us remove repetitive operational drag so people can spend more time on higher-value work.

For Example:

  • store associates spend more time helping customers,

  • buyers spend less time assembling spreadsheets,

  • managers spend less time reacting,

  • marketers spend less time rewriting repetitive content,

  • Leadership spends more time making decisions.

This is a very strong operational position that, prior to the arrival of AI, was attainable primarily by large companies with large budgets and enterprise-level technology.

I can’t say this enough: AI optimizes, accelerates, and automates job tasks so people can focus on job purpose.

But AI is not just a cost tool. It is a profit acceleration tool.

While many conversations around AI focus on saving time, reducing labor, or automation, I see a much broader opportunity: improving execution and producing measurable business outcomes.

That includes:

  • Better inventory productivity,

  • Better promotions,

  • Better assortment decisions,

  • Better customer conversion,

  • Better merchandising,

  • Better execution speed,

  • Better operational consistency,

  • Better labor leverage,

  • And ultimately, better Return on Operating Assets.

This is a much more complete business case than the simplistic idea that AI merely helps businesses “do more with less.”

AI as a profit accelerator connects people, operations, finance, and execution into a more productive operating system.

For the first time in decades, small and medium-sized businesses can access capabilities that were once reserved for much larger organizations. The playing field is still uneven, but AI is reducing some of the historic advantages of scale.

AI-assisted content, reviewed and fact-checked by the author. Users should independently verify all information. Not financial or legal advice. Consult professionals. © 2026 Creativity Consulting.

Keep Reading