Generative AI is grabbing all the headlines, from "vibe coders" raising millions overnight to tech giants replacing entire departments. But behind the hype, what is the real-world impact of AI on business, productivity, and the future of work? The answer is far more complex than the buzzwords suggest.

In this episode, Ben Griswold (Grizen) and Noah Heldman (OutcomeSource) cut through the noise to have a grounded conversation about the practical realities of using AI in technology consulting. They explore the productivity paradox—where AI feels fast but may not save time—and dive into the often-overlooked environmental and ethical costs. Most importantly, they tackle a critical question: in a world where AI can write code, how will the next generation of engineers learn to solve problems?

In This Episode, You'll Learn:

• The reality behind the AI hype and billion-dollar consulting investments.
• The "Productivity Paradox": Why AI might not be the time-saver you think it is.
• The hidden costs of AI, from staggering environmental impact to ethical dilemmas.
• Why high-quality "prompt engineering" is the key to getting real value from LLMs.
• The critical challenge: How do we mentor junior talent when AI automates foundational tasks?

Connect with Us:

• Ben Griswold | Grizen: https://grizen.com
• Noah Heldman | OutcomeSource: https://outcomesource.com