AI Is Already Replacing AI. What’s at Risk for Brand Value?
For small and mid-sized businesses, the deeper AI question is how to protect the human clarity, judgment and brand value that make the business worth choosing.
I was talking recently with a longtime friend and past client about brand value, integrity and AI.
He spent years as a CFO before moving into the CEO role, so he tends to see business questions through both value and risk. He told me that in conversations with other CEOs, AI keeps coming up in a new way. These conversations are no longer about whether AI is here to stay. That part seems settled.
The concern is what he referred to as the commoditization of brands. I have been thinking of it as the coming commodity crisis.
If AI keeps advancing at a pace few leadership teams can keep up with comfortably, and if every company eventually has access to similar tools, what happens to differentiation?
That question gets to the heart of what many small and mid-sized business leaders are facing. AI is no longer a future trend sitting somewhere outside the business. It is already moving into daily work, customer communication, research, sales support, content development and decision-making.
Only a few years ago, the leadership question was whether employees should be using AI at all. Today, the question is more complicated because the tools, expectations and risks keep changing.
Should the team use ChatGPT, Microsoft Copilot, Claude, Gemini or Perplexity? Should the company license one platform, train everyone on it, write internal standards and build workflows around it? And what happens when another tool is suddenly stronger, more useful or better integrated into the way the business already works?
These are no longer casual technology choices. AI is moving into the operating layer of business. ChatGPT has business and enterprise plans, Microsoft is positioning Copilot for business use, Anthropic offers Claude Enterprise, Google offers Gemini Enterprise and Perplexity has an enterprise product built around secure research and knowledge work. Each is being presented as more than a clever assistant. Microsoft, Google, OpenAI and others are already framing AI around agents that can connect to business data, support multi-step work and operate inside organizational workflows. These tools are being built for business information, connected work and increasingly for action.
At the same time, the market itself is shifting quickly. Ramp’s March 2026 AI Index reported that overall business AI adoption reached a record high, while Anthropic’s adoption grew sharply and OpenAI’s adoption rate declined month over month in Ramp’s tracking.
In other words, AI is no longer only raising questions about whether it will replace certain kinds of work. AI is already replacing AI.
There are also early experiments such as Moltbook, a social network designed for AI agents to post, comment and interact while humans observe. Whether Moltbook becomes meaningful or fades as a curiosity matters less than what it signals: AI is moving beyond individual tools into agent-based systems that can interact, generate and respond in ways many business leaders are still trying to understand.
That should get the attention of CEOs, especially those leading small and mid-sized privately held businesses. Most of these companies do not have large teams dedicated to evaluating AI models, rebuilding workflows, monitoring data exposure and retraining employees every time a stronger tool enters the conversation. They are trying to serve customers, lead people, protect reputation and make sound decisions in an environment that keeps moving.
The opportunity for leaders is to approach AI from a strong strategic center, rather than allowing each new tool to reset priorities, workflows or standards.
McKinsey’s 2025 State of AI survey found that 88% of organizations reported regular AI use in at least one business function, yet most had not scaled the technology across the enterprise. For small businesses, Goldman Sachs reported in March 2026 that 76% are using AI and 93% of those users report a positive business impact, but only 14% have fully integrated AI into core operations. The same survey found that 73% say they need more training and resources to implement it successfully.
What all this suggests is that using AI and knowing how AI should serve the business are two different levels of leadership.
Many companies are still in the early stage of experimentation. Employees are trying tools, leaders are watching for productivity gains and vendors are promising better efficiency. Some of those benefits are real. The U.S. Chamber of Commerce reported that 58% of small businesses were using generative AI in 2025, up from 40% in 2024, and that 82% of small businesses using AI had increased their workforce over the previous year.
That is an important signal. AI may change what people do, but in many businesses it is also changing what people need to be prepared to do well.
This is where the brand conversation becomes essential.
For many CEOs who already understand AI will make work faster, the larger question is how to keep the business distinct when polished expression becomes easier for everyone to produce. When every company has access to similar tools, prompts and language models, communication becomes easier to generate. The leadership work is to make sure it still reflects something the business can truly own.
Harvard Business Review has warned that generative AI can make it vastly easier and cheaper to create or improve products and services, which can disrupt or commoditize businesses that once depended on human labor and creativity for their advantage. The same pressure applies to brand expression and delivery. When competent language becomes available to everyone, the advantage moves upstream to the clarity beneath the language.
This is why brand infrastructure becomes even more important.
When I use the word brand, I am not talking about a logo, a campaign or a preferred writing style. I am talking about the strategic foundation that determines how a business is understood, how it is chosen and how consistently it is experienced.
AI can help a business express itself faster. It can support research, organize thinking, improve a draft and make certain kinds of work more efficient. But it cannot fully discover the unique nuances of a business from the inside out. It cannot understand what has been earned over decades, recognize the standards customers have come to trust or identify what should remain distinct unless that work has first been clarified by people who understand the business.
AI can make the outside sound polished while the inside remains unresolved.
When companies lack a strong strategic foundation, AI does not solve the confusion. It scales it.
That is why I believe the more durable investment is not only in tools, but in the people who represent the brand: the people who can read a room, understand context, sense what a customer needs and carry the company’s standards into real interactions.
Those people are the ones customers experience in the first conversation, the proposal, the service interaction, the follow-up and the difficult moment when trust is either strengthened or weakened. AI may help them prepare, summarize, respond or begin with more confidence. But if they do not understand the company’s promise, standards, voice and point of view, the tool has very little to protect.
There are also practical risks leaders cannot ignore. The U.S. Copyright Office has stated that generative AI outputs may be protected by copyright only when a human author has determined sufficient expressive elements, and that merely providing prompts is not enough. Ivanti’s 2025 Technology at Work report found that 46% of office workers say some or all of the AI tools they use are not employer-provided, creating a shadow-AI environment where productivity gains may come with data, security and governance concerns.
For a CEO, the better response is clearer leadership.
That clarity has to include the customer experience. McKinsey’s B2B research continues to support what it calls the “rule of thirds”: customers split their time across in-person, remote and digital self-service interactions throughout the buying journey. McKinsey’s point is that there is no single-channel customer, which means businesses need to think carefully about how trust is built across all the ways people interact with them.
AI may change how buyers research, compare, draft and decide, but it does not remove the human experience from the brand. A digital tool may answer an early question, and AI may help prepare a proposal or make a follow-up easier to begin. But the trust that protects brand value is still built through the quality of the experience across every channel and by the people responsible for delivering it.
For small and mid-sized businesses, this does not need to become another overwhelming initiative. It begins with better leadership questions.
Before investing more time, money or attention in AI, leaders should be able to answer:
What parts of the business should AI help accelerate?
Which customer moments require direct human ownership?
What proprietary information should never be entered into public or unmanaged tools?
What standards must every AI-assisted communication meet before it reaches the market?
What do our people need to understand about the brand before they use AI on its behalf?
Where would stronger brand clarity help us choose the right tools and ignore the distractions?
These questions only become more important as the tools keep changing. The model that feels strongest today may not be the one a team prefers six months from now. The legal questions will continue to evolve. The market will continue to reward speed, but speed without direction can dilute the value a company is trying to build.
AI will continue to improve, which is good news for businesses that know who they are, what they promise and how they create value. The clearer the business is on the inside, the more intelligently it can use the tools available on the outside.
They will invest in people who understand the business deeply enough to use the tools well, represent the brand with care and protect the standards customers trust. They will build brand infrastructure strong enough to guide the work, even as the tools continue to evolve.
AI can help a business move faster. Brand infrastructure helps make sure it remains worth choosing.
A note for leaders:
If your company is beginning to use AI for communication or customer-facing work, one practical place to begin is with brand voice prompts, standards and decision filters that protect what makes your business distinct. This is work I am doing inside my own brand and with select clients who want AI to support their brand without commoditizing it. Reach out if this is something your company is beginning to think through.