In this episode of On the Surface, Seth is joined once again by Brad for a wide‑ranging, practical conversation about how AI is actually being used in everyday business—and why most people are still only scratching the surface. From Copilot and ChatGPT to Claude, Gemini, and agentic AI tools, Seth and Brad break down what works, what doesn’t, and where confusion still exists as these technologies evolve at lightning speed.

They dig into real, hands‑on use cases rather than hype: creating presentations and emails faster, analyzing data, building Excel models, summarizing long documents, turning contracts into podcast‑style audio, and setting up automated systems that pull information every week without repeated prompts. Brad shares firsthand experiences using AI agents to monitor industry projects and generate reports, while Seth explains the differences between creative AI, analytical AI, and autonomous agentic systems—and why prompt quality still matters, even as the tools improve.

Together, they tackle the bigger question many organizations are quietly wrestling with: what does AI mean for jobs? Seth and Brad offer a grounded perspective on efficiency, automation, and workforce change—arguing that while AI won’t replace entire roles overnight, it will reshape how work gets done. They explore which tasks are most at risk, why repetitive and administrative work is the first to be automated, and how early adopters who learn to use AI effectively will be best positioned as companies inevitably move from experimentation to expectation.

The conversation also highlights the human side of adoption—resistance to change, security concerns, and the reality that many people don’t even know the tools they already have can do these things. From personal examples like planning vacations and visualizing home renovations to professional workflows that save hours or days of work, this episode emphasizes one core takeaway: AI is just another tool—but curiosity, experimentation, and willingness to adapt will determine who benefits the most.

It’s an honest, approachable discussion about AI in the present—not sci‑fi futures or fear‑based narratives, but the real efficiencies, limitations, and opportunities unfolding right now for people willing to engage with the technology rather than ignore it.

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