In this episode of The Victory Show, Travis Cody sits down with Naz Quadri—CTO and Partner at Princeton Equity Group—to unpack what “pragmatic AI” actually means in the real world (and why most companies are using the wrong tools). Naz shares his journey from mathematician to early voice-recognition pioneer in 2000, to building enterprise AI/data infrastructure across Goldman Sachs, UBS, Morgan Stanley, Bloomberg, and JP Morgan. He explains why LLMs don’t “think,” why they’re dangerously convincing, and how executives keep asking, “Why can’t ChatGPT just do it?”—even when it’s the wrong hammer for the job. They also break down the AI adoption curve (and why it’ll be slower than the hype), how token pricing quietly blows up costs, why “piecemeal AI” becomes a trap, and the frameworks Naz uses to help investors and operators move faster without getting snookered by buzzwords.