Bill, Kurtis, and SFAR CTO Jay Pepper-Martens cut through the AI fog: practical gains vs. hype, how MLSs should vet vendors, why top performers will benefit most, and what happens when agentic systems start taking initiative on their own. They dig into training data ethics, UMG–Udio style revenue sharing, infrastructure costs (GPUs don’t last forever), and why human-made art—and MLS data—may become more valuable as AI floods the zone.

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