Who Holds the Risk When AI Does the Work
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Learn more about the host Laurence Gill at: www.laurencegill.com
For twenty five years, software pricing has worked like flat-rate insurance: pay a fixed premium for the capacity you own, not for the value it delivers. AI agents just broke that model, and the fallout is bigger than a line item on your next renewal.
In this episode, Laurence Gill breaks down why AI agents are killing per-seat software pricing, and why what’s replacing it is really a risk-transfer mechanism in disguise. Drawing on principal-agent economics, a real vendor case where efficiency gains cost a company most of its recurring revenue, and two decades of federal IT audit experience, Laurence lays out exactly what leaders need to understand before signing their next AI vendor contract, including the four questions that determine who actually holds the risk when the system fails.
If you’re evaluating, renewing, or negotiating any AI agent contract this quarter, this episode gives you a framework for asking better questions than “how many seats do we need.