HeyJaredSignal Over Noise
Weekly Agentic AI Briefings for enterprise professionals. Cutting through the hype to deliver what matters in AI agents, frameworks, security, and governance.
- Indexed episodes, last 90 days
- 8
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- Sep 8, 2026
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- Jul 13, 2026
Latest episodes
Why AI Value is a Management Problem, Not a Technology Problem (opens the original)
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A conversation between two hosts unpacking why AI value is a management problem, not a technology problem — adapted from a Signal Over Noise guest lecture on AI strategy and business transformation. The starting point: every serious AI vendor's model is good enough now. So why do most companies still struggle to show a real return? The hosts dig into three business decisions that actually separate the companies getting value from the ones burning budget — measurement, verification, and governanc
Agent-Washing: Navigating the Illusion of AI Autonomy (opens the original)
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Every vendor on the market now calls their product an "AI agent." Most of them are chatbots in a trench coat — and the gap between the two just became a boardroom-level risk. In this debate-style episode, two hosts dig into agent-washing: the practice of relabeling old software as autonomous AI to chase a bigger budget line. We trace it back to the Mechanical Turk — the 18th-century "chess-playing machine" that was actually a man hidden in a cabinet — and forward to real 2025-2026 cases where th
The Fifth Gauge: Measuring Business Value in Agentic AI (opens the original)
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Your board review has a slide for AI. Adoption is up. Usage is climbing. Uptime is 99.95%.Every number is green. And when someone asks "how much value did this actually generate," not one of them answers it. Most dashboards were never built to answer that question — because most teams are still measuring agentic AI like it's a normal feature. It isn't. It's probabilistic, it drifts, and "adoption" tells you nothing about whether it's actually worth what it costs. In this podcast, I lay out the f
The Model Lease: You Don't Pick a Model. You Pick an Expiration Date. (opens the original)
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A friendly, rigorous debate on the question most model-selection conversations skip past: should you be running open weights at all? One host makes the case that a managed closed API is a legitimate engineering choice — you rent capability and spend scarce engineers on the product. The other argues that every model in your stack is a lease with an expiration trigger, and open weights are the one where you hold the paper. Six rounds: Open weights or not — and why enterprise adoption fell from 19%
The Comprehension Debt Economy: Why Al Makes Us Faster but Shallower (opens the original)
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AI is making every profession faster — and some of them shallower. In this episode, we debate "comprehension debt": the widening gap between what professionals ship and what they actually understand before shipping it. Expect pushback, disagreement, and a few uncomfortable admissions as we dig into the 2025 evidence across software, medicine, and law — developers who felt 20% faster while measurably slowing down, doctors whose skills quietly decayed once AI was removed, lawyers sanctioned for ci
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