Jeff Turnbow Named AY Magazine’s 2026 Face of Artificial Intelligence

The most important question about artificial intelligence is no longer whether a business will use it. The question is whether AI will actually make the business better.

That is why I am especially grateful to be named AY Magazine’s 2026 Face of Artificial Intelligence in its annual Faces of Arkansas issue. The feature appears online and in AY’s November 2026 print edition.

I appreciate the recognition, but what matters most to me is what the profile chose to emphasize: AI should be connected to real business objectives, measurable outcomes and the people responsible for making the organization work.

Read the original AY Magazine feature →

AI transformation should start with the business

There is no shortage of AI tools. New models, agents, automations and platforms arrive constantly. That makes it easy for organizations to begin with technology instead of the problem they are trying to solve.

My approach starts in the opposite direction. First understand the business objective. Then examine the process, customer data, operating friction and opportunities for improvement. Only then decide where AI belongs.

The objective might be stronger sales performance, faster customer response, better decision support, improved marketing intelligence, more efficient workflows, better knowledge access or greater operating capacity. The technology should serve that outcome—not become the outcome.

That business-first approach is central to my work in AI transformation strategy and implementation.

The AI Paradox: access to AI is not a competitive advantage

Earlier this year, I presented a related idea at the North American Marketing Leadership Summit in Phoenix: The AI Paradox: How Do Brands Differentiate When Everyone Has the Same Tools?

As powerful AI becomes available to nearly every company, access to the technology becomes less differentiating. Two organizations can use the same model and produce very different results.

The difference is what they bring to the system: proprietary knowledge, customer insight, operating discipline, trusted brand authority, decision history, documented processes and experienced human judgment.

AI can scale good decisions. It can also scale a bad process faster. Competitive advantage comes from designing the right system around the technology.

Explore The AI Paradox →

Technology should increase human capacity, not remove human judgment

One point in the AY profile captures an important part of how I think about transformation: “Technology should make us more human, not less human.”

AI can remove repetitive work, accelerate research, organize information and improve execution. But leadership, accountability, empathy, context and judgment still matter. In many cases, the best use of AI is not replacing the person doing important work. It is giving that person more capacity to do the work that requires experience and discernment.

That is why a serious AI transformation plan needs more than software. It needs people, processes, technology, controls and measurement working together.

Why independent recognition matters in the AI era

There is another reason I value this recognition. As AI changes how people discover experts and companies, third-party evidence matters more. A website can describe its own expertise, but independent editorial coverage gives customers—and increasingly search and answer systems—another source they can evaluate.

No single article guarantees visibility or credibility. But consistent, verifiable signals across respected publications, conference programs, client results, professional education and original thought leadership help build a clearer picture of who someone is and what work they are actually known for.

That principle is also part of my work in AI visibility and AI search optimization: make the entity easier to understand, verify and select when it is genuinely relevant.

What the recognition represents to me

I have spent more than two decades working at the intersection of business growth, marketing, sales, technology and operational change. AI is the newest—and potentially most consequential—chapter in that work, but the fundamental questions have not changed.

What problem are we solving? What should improve? What does the customer need? What should remain human? How will we measure whether the change worked?

I am grateful to AY Magazine for the 2026 Face of Artificial Intelligence recognition and for focusing the feature on those questions rather than on technology for technology’s sake.

I am also grateful to the clients, teams, colleagues and organizations that have trusted me to help navigate change over the years. Recognition may carry one person’s name, but meaningful work is almost never done alone.

Read the AY Magazine feature

The full 2026 Faces of Arkansas: Jeff Turnbow, Face of Artificial Intelligence profile is available from AY Magazine and appears in the publication’s November 2026 print issue.

Read the full AY Magazine profile →

If your organization is evaluating where AI can create measurable business value, explore AI Transformation, AI Agent Strategy, or start a conversation.