I have always been interested in the moment when a big idea becomes genuinely useful.
That is how I think about artificial intelligence.
There is no shortage of conversation about AI right now. Every week brings another tool, another promise and another prediction about how work is going to change. Some of that energy is exciting. Some of it is distracting. The question I keep coming back to is much simpler: Does this help people do better work?
If the answer is no, then it may be impressive technology, but it is not meaningful transformation.
Useful technology begins with a real problem
When I founded Spynr, I learned that growth rarely comes from adding complexity. It comes from understanding the customer, creating a clear story and building systems people can actually use. That lesson became even more important when Spynr was acquired by EVI Industries and my perspective expanded from building a specialized company to helping advance marketing within a growing enterprise.
At an enterprise level, the temptation is to start with the platform. I believe we should start with the problem.
Where are people losing time? Where is information difficult to find? Where are teams repeating the same work? Where does a customer experience feel disconnected? Where are leaders making decisions without enough visibility?
Technology becomes valuable when it helps answer those questions. AI can help organize information, surface patterns, shorten the distance between an idea and a first draft, and give teams more time to focus on judgment, creativity and relationships. But the tool should serve the work. The work should never exist just to serve the tool.
“The goal is not to make people work more like machines. It is to let technology handle more of the mechanical work so people can contribute what only people can.”
Speed is helpful. Clarity is better.
AI can make marketing faster. That is obvious. It can help generate variations, summarize information and move routine tasks forward. But producing more is not the same as creating more value.
Enterprise marketing already has plenty of activity. The harder challenge is alignment. Teams need to understand the audience, the objective, the message and the role they play in bringing it to life. If AI simply helps an organization produce more disconnected work, it has accelerated the wrong thing.
I am much more interested in using technology to make the organization clearer. Can it help people see the same picture? Can it turn scattered information into something useful? Can it make a complicated process easier to understand? Can it help a good idea move through the organization without losing its meaning?
That is where AI starts to become an enterprise capability instead of an interesting experiment.
Human judgment still matters most
Marketing is ultimately about people. It requires empathy, timing, cultural awareness, business judgment and a real understanding of what someone needs. AI can support those abilities, but it cannot replace the responsibility that comes with them.
People should know when AI is being used. Teams should check the work. Leaders should protect private information, challenge bias and create clear boundaries. We should be especially careful about allowing convenience to become a substitute for judgment.
I also believe leaders have a responsibility to bring people with them. New technology can create excitement for some and uncertainty for others. The answer is not to dismiss either reaction. It is to make the purpose clear, give people a meaningful role in the change and create room for them to learn.
The best transformation does not make people feel smaller. It helps them see what they are capable of doing next.
A lesson that extends beyond business
My community work has reinforced this perspective. Through LaundryCares Foundation and the Joshua M. Freeman Foundation, I have seen how access can change what is possible for a person or a family. A book in a familiar neighborhood space can create a moment of discovery. An arts experience can open a door someone did not know was there.
Technology should work the same way. Its value is not the technology itself. Its value is the access, confidence and opportunity it creates for people.
The standard I am trying to hold
As AI continues to change marketing, I am trying to hold a simple standard:
Use it to reduce friction.
Use it to create clarity.
Use it to help people make better decisions.
Use it to give teams more room for creativity, strategy and connection.
And never let the pursuit of efficiency make the work feel less human.
That is the future of enterprise marketing that interests me—not technology replacing people, but technology helping people do more meaningful work together.