Listen Score
LS 37
Global Rank
TOP 2.5%

ABOUT THIS PODCAST 🔗

Update frequency:
weekly
Average audio length:
45 minutes
Guest interviews
English
United States
120 episodes
since Sept. 4, 2013
episodic

LATEST EPISODE 🔗

Every AI report you receive is missing the one category of information your governance actually depends on. It's not a bug; it's the nature of the machine. AI cannot say "I don't know." When the "hedge" disappears from your reports, the flag disappears from your radar. You're being walked to the…

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PREVIOUS EPISODES

AI promised to save us time. Instead, we used that time to drown ourselves in more paperwork. In this episode, we look at the 'Volume Trap'—the dangerous assumption that because we can produce ten times more grant narratives or program reports, we should. We explore the Temporal Mismatch between…
Your AI just gave you a "recommendation." If you follow it blindly, you aren't being efficient—you're being replaced. In this episode, we look at the critical failure point in nonprofit AI adoption: the moment pattern recognition is mistaken for understanding. We walk through a common donor data…
In this episode, we examine the structural wreckage of the "Responsible AI Policy." Most nonprofit leadership teams are currently celebrating the completion of a static PDF that outlines disclosure and human review. They are celebrating a "success" that is actually a catastrophic misdiagnosis. Th…
If your AI implementation is delivering results, you should be looking for the cracks. Most leaders assume that if output is up and the team is keeping pace, the implementation is a success. They're wrong. In this episode, we diagnose why AI-driven acceleration is currently colliding with two la…
Many nonprofit leaders believe their AI challenges begin at the moment of implementation — choosing tools, preparing staff, or establishing policies. But most AI adoption failures start earlier than that. They begin with the first question leadership asks. When organizations respond to pressure…
A recent benchmark report surveying hundreds of nonprofit organizations found that 92% are already using AI tools, yet only 7% report major strategic impact. The report describes this as an "AI readiness" gap and recommends stronger governance, clearer policies, and more structured workflows. In…
Most organizations believe they already know who is responsible when AI is used: the person who used the tool. But that answer assumes something that often isn't true — that the authority underneath that responsibility is clearly defined. In practice, many nonprofits operate with informal decisi…
Many nonprofits are adopting AI tools expecting efficiency gains. But when those gains fail to materialize, the problem often isn't the technology. It's the structure of the organization itself. In this episode, we examine three structural conditions that AI tends to expose: undesigned handoffs,…
I'm back behind the mic. In the last episode, you heard an AI-generated overview of this topic. But in a world of automated content, the most important conversations require a human touch. I'm reclaiming the show to talk to you directly about the "AI Efficiency vs. Capacity" trap. The Reality: Mo…
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