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August 15, 2025 By Barry Bright

Here’s How My Team Actually Uses AI

We talk about artificial intelligence like it’s something mysterious and monumental.

Something out there. Something looming.

But in my day-to-day work—helping family-run companies untangle their “random acts of marketing”—AI isn’t some magical oracle.

We talk about artificial intelligence like it’s something mysterious and monumental.

Something out there. Something looming.

But in my day-to-day work—helping family-run companies untangle their “random acts of marketing”—AI isn’t some magical oracle.

It’s a tool. A sharp one. But still a tool. More specifically, it’s informed assistance:

  • AI doesn’t ask clarifying questions.
  • It doesn’t push back.
  • It doesn’t challenge your assumptions or rethink your strategy. It simply gives you a polished draft of the consensus.

It’s an autocomplete at scale. So what does that mean for marketing teams? For students? For workforce development?

It means that how we use AI will be shaped more by our frameworks than by the tools themselves.

I talk about that, and more, in my remarks for the University of Delaware’s “AI in the Workforce” panel.

UD set up this panel to give faculty and students real-world insights into how AI is transforming the workplace, not just the classroom.

If you’d like to hear the full talk, you can watch the full panel recording here.

Watch the Full Panel Recording

In UD’s panel, I share how our small-but-mighty marketing agency uses AI to:

  • Summarize strategy meetings
  • Organize unstructured thinking (yes, including voice memos while walking the dog)
  • Draft ideas for subject lines, headlines, and even images
  • Build internal process docs for new tactics like geofencing
  • Accelerate—but not replace—critical thinking and writing

We also cover why we hold daily critique sessions, how we evaluate writing as thinking, and what it means to teach AI to match a brand voice, not just produce content.

If you’re curious what that looks like in practice—or you want to compare notes on how your own team is navigating the AI shift—take a listen.

Watch Now: Preparing Graduates for the AI-Driven Future​​

Alongside me, you’ll hear from computer science professor and AI policy leader Dr. Sunita Chandrasekaran, senior engineer Christiana Howard, and fintech CEO and CPA, Busayu Agonson.

Each of us brings a different angle on what “AI in the workforce” really looks like—from engineering and policy to marketing and finance.

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