60 acast.com Above the Noise https://shows.acast.com/above-the-noise-the-unbiased-ai-brief-for-enterprise-leaders en Shaun Gehring Executive News,AI News of Leaders,AI Trends Shaun Gehring The unbiased AI brief for enterprise leaders. Everyone in AI is incentivized to lie to you. Vendors want the deal. Consultants want the engagement. Analysts want the subscription. They're all paid to sound certain — so certainty is exactly what you can't trust.

Above the Noise is the unbiased AI brief for enterprise leaders. I build enterprise AI for a living, and on this show I sell you nothing. No sponsors, no affiliates, no agenda. Just a practitioner cutting through the hype so you can make decisions with a clear head.


Every episode runs four segments: • News Brief — what actually moved, and what it means for you. • Deep Dive — one topic, taken apart and explained in plain English. • Expose a Lie — the signature segment. I take a popular AI claim everyone repeats and put it up against cited evidence. (I go after claims, never people.) • A Thought-Provoking Question — something to chew on before the next one.

Built for any leader — Director to CIO — who feels the pressure to "do something with AI" but can't tell what's real. Biweekly. Solo. About 30 minutes. The unbiased signal, above the noise.

Hosted on Acast. See acast.com/privacy for more information.

]]> Everyone in AI is incentivized to lie to you. Vendors want the deal. Consultants want the engagement. Analysts want the subscription. They're all paid to sound certain — so certainty is exactly what you can't trust.

Above the Noise is the unbiased AI brief for enterprise leaders. I build enterprise AI for a living, and on this show I sell you nothing. No sponsors, no affiliates, no agenda. Just a practitioner cutting through the hype so you can make decisions with a clear head.


Every episode runs four segments: • News Brief — what actually moved, and what it means for you. • Deep Dive — one topic, taken apart and explained in plain English. • Expose a Lie — the signature segment. I take a popular AI claim everyone repeats and put it up against cited evidence. (I go after claims, never people.) • A Thought-Provoking Question — something to chew on before the next one.

Built for any leader — Director to CIO — who feels the pressure to "do something with AI" but can't tell what's real. Biweekly. Solo. About 30 minutes. The unbiased signal, above the noise.

Hosted on Acast. See acast.com/privacy for more information.

]]> false Shaun Gehring info+6a108d0055b99c7f8915c7a7@mg-eu.acast.com 6a108d0055b99c7f8915c7a7 above-the-noise-the-unbiased-ai-brief-for-enterprise-leaders episodic https://assets.pippa.io/shows/cover/1779469559302-8372715b-3e28-46c2-a63d-352eac98755c.jpeg https://shows.acast.com/above-the-noise-the-unbiased-ai-brief-for-enterprise-leaders Above the Noise <![CDATA[You Can't Govern What You Can't See]]> Mon, 22 Jun 2026 12:00:00 GMT 35:38 6a28c0126642088a10e857a2 false https://shows.acast.com/above-the-noise-the-unbiased-ai-brief-for-enterprise-leaders/episodes/you-cant-govern-what-you-cant-see 6a28c0126642088a10e857a2 6a108d0055b99c7f8915c7a7 you-cant-govern-what-you-cant-see full 1 3 Something goes wrong in production, someone senior asks "walk me through exactly why the AI did that" — and the room goes quiet. That silence is the most expensive sound in enterprise AI right now. This week, the tested read on the two least exciting words in the whole stack — governance and observability — and why the part nobody demos is the part that ends careers.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: The EU AI Act high-risk deadline (Aug 2) and the Article 12 logging language nobody's ready for · SR 11-7 just got rescinded — and U.S. regulators handed AI governance back to you · the half-billion-dollar "AI governance" land-grab, and what its existence quietly admits.
  • Deep Dive: What governance and observability actually are, why almost no platform ships them (four structural reasons), and why you cannot bolt them on in "phase two."
  • Expose a Lie: "Our logs are our audit trail." Three breaks, each fatal — and the one question that turns the room honest.
  • The question to sit with: Could you prove, to a hostile outsider, exactly why one of your AI systems made one specific decision ninety days ago?


No vendors. No hype. Just the signal.


👉 Follow Above the Noise wherever you listen — new episode every two weeks. Share it with one leader who keeps saying "we log everything," and leave a rating so more people find it. Between episodes, find Shaun on LinkedIn — come argue with him there.





🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


EU AI Act — high-risk deadline & logging


SR 11-7 rescission & financial-services AI governance


The governance/observability market


Production reality & observability


"Our logs are our audit trail" — the receipts



Topics covered: AI governance, AI observability, EU AI Act, high-risk AI, Article 12 logging, SR 11-7, OCC Bulletin 2026-13, model risk management, FINRA generative AI, AI audit trail, agentic AI, LLM observability, OpenTelemetry, regulated industries, enterprise AI strategy

Hosted on Acast. See acast.com/privacy for more information.

]]> Something goes wrong in production, someone senior asks "walk me through exactly why the AI did that" — and the room goes quiet. That silence is the most expensive sound in enterprise AI right now. This week, the tested read on the two least exciting words in the whole stack — governance and observability — and why the part nobody demos is the part that ends careers.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: The EU AI Act high-risk deadline (Aug 2) and the Article 12 logging language nobody's ready for · SR 11-7 just got rescinded — and U.S. regulators handed AI governance back to you · the half-billion-dollar "AI governance" land-grab, and what its existence quietly admits.
  • Deep Dive: What governance and observability actually are, why almost no platform ships them (four structural reasons), and why you cannot bolt them on in "phase two."
  • Expose a Lie: "Our logs are our audit trail." Three breaks, each fatal — and the one question that turns the room honest.
  • The question to sit with: Could you prove, to a hostile outsider, exactly why one of your AI systems made one specific decision ninety days ago?


No vendors. No hype. Just the signal.


👉 Follow Above the Noise wherever you listen — new episode every two weeks. Share it with one leader who keeps saying "we log everything," and leave a rating so more people find it. Between episodes, find Shaun on LinkedIn — come argue with him there.





🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


EU AI Act — high-risk deadline & logging


SR 11-7 rescission & financial-services AI governance


The governance/observability market


Production reality & observability


"Our logs are our audit trail" — the receipts



Topics covered: AI governance, AI observability, EU AI Act, high-risk AI, Article 12 logging, SR 11-7, OCC Bulletin 2026-13, model risk management, FINRA generative AI, AI audit trail, agentic AI, LLM observability, OpenTelemetry, regulated industries, enterprise AI strategy

Hosted on Acast. See acast.com/privacy for more information.

]]> Build vs. Buy — The Most Expensive Identity Crisis in Enterprise AI Build vs. Buy — The Most Expensive Identity Crisis in Enterprise AI Tue, 09 Jun 2026 11:30:00 GMT 35:07 6a26fdf0ec7c103dca4f59d9 false https://shaungehring.com/blog 6a26fdf0ec7c103dca4f59d9 6a108d0055b99c7f8915c7a7 build-vs-buy-the-most-expensive-identity-crisis-in-enterpris full 1 2 In a single 48-hour stretch, Microsoft announced seven in-house frontier AI models and their own GitHub division flipped Copilot to token billing — sending some users from $29 a month to $750. The universe basically scripted this episode of the build-versus-buy debate. The tested take from someone who builds enterprise AI for a living: this isn't one decision, it's three — and almost every failed AI program made one call instead of three.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: Microsoft Build 2026 — the MAI in-house model family, and why the largest AI buyer on Earth deciding to build at only the foundation layer tells you exactly where the build line is for the rest of us · GitHub Copilot moves to token billing (users seeing 10–50× cost jumps) — the "buy" side's hidden tax: you don't own the pricing model · Ignore pile — SAP Sapphire's "Autonomous Enterprise" and its €100M partner-payment fund.
  • Deep Dive — Build vs. Buy: The three-layer cut (model / platform / workflow) that fixes the conversation. MIT NANDA: vendor-led wins 67% vs. 22–33% for pure internal builds. Build cost: $300K–$1.5M+ upfront + 20–30% annual maintenance, forever. Plus the four taxes every spreadsheet undercounts — and why the right answer in 2026 is almost always hybrid.
  • Expose a Lie: "If we build it in-house, we own it." Steelmanned, then dismantled. When you build, you don't own the AI — you own the obligation to keep it alive. Maintenance bill, model-aging risk, governance liability, talent risk, all on you. Plus the data-moat sub-myth that drives half of build proposals.


🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


News Brief — Microsoft Build 2026 (MAI models)


News Brief — GitHub Copilot token billing flip


News Brief — SAP Sapphire 2026 (ignore pile)


Deep Dive — Build vs Buy


Expose a Lie — "If we build it in-house, we own it"

Hosted on Acast. See acast.com/privacy for more information.

]]> In a single 48-hour stretch, Microsoft announced seven in-house frontier AI models and their own GitHub division flipped Copilot to token billing — sending some users from $29 a month to $750. The universe basically scripted this episode of the build-versus-buy debate. The tested take from someone who builds enterprise AI for a living: this isn't one decision, it's three — and almost every failed AI program made one call instead of three.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: Microsoft Build 2026 — the MAI in-house model family, and why the largest AI buyer on Earth deciding to build at only the foundation layer tells you exactly where the build line is for the rest of us · GitHub Copilot moves to token billing (users seeing 10–50× cost jumps) — the "buy" side's hidden tax: you don't own the pricing model · Ignore pile — SAP Sapphire's "Autonomous Enterprise" and its €100M partner-payment fund.
  • Deep Dive — Build vs. Buy: The three-layer cut (model / platform / workflow) that fixes the conversation. MIT NANDA: vendor-led wins 67% vs. 22–33% for pure internal builds. Build cost: $300K–$1.5M+ upfront + 20–30% annual maintenance, forever. Plus the four taxes every spreadsheet undercounts — and why the right answer in 2026 is almost always hybrid.
  • Expose a Lie: "If we build it in-house, we own it." Steelmanned, then dismantled. When you build, you don't own the AI — you own the obligation to keep it alive. Maintenance bill, model-aging risk, governance liability, talent risk, all on you. Plus the data-moat sub-myth that drives half of build proposals.


🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


News Brief — Microsoft Build 2026 (MAI models)


News Brief — GitHub Copilot token billing flip


News Brief — SAP Sapphire 2026 (ignore pile)


Deep Dive — Build vs Buy


Expose a Lie — "If we build it in-house, we own it"

Hosted on Acast. See acast.com/privacy for more information.

]]> Agents, Hype, and What Actually Ships Agents, Hype, and What Actually Ships Fri, 22 May 2026 20:10:31 GMT 28:52 6a10b825a9d3d2ec14178cfb false https://shaungehring.com/blog 6a10b825a9d3d2ec14178cfb 6a108d0055b99c7f8915c7a7 agents-hype-and-what-actually-ships full 1 1 Most AI advice comes from people who've never had to ship the thing. This first episode is the practitioner's read — from someone who builds enterprise AI for a living. The tested take on what's real, what's hype, and what to actually do. Case in point: the "autonomous agentic workforce" you're being sold is a roadmap slide, not a 2026 reality — and here are the receipts.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: Google's flagship launch was the cheaper model — the frontier race quietly became a price war · Every major vendor (IBM, ServiceNow/Accenture, Cognizant) pivoted to selling "agents in production + governance" — aka the cleanup crew for agents that didn't deliver.
  • Deep Dive — Agentic AI, hype vs. ships: Agents work in narrow lanes (one health system cut documentation time 42%). But Gartner says 40%+ of agentic projects get canceled by 2027, Deloitte says only 21% have mature governance, and MIT says 95% of GenAI pilots show no measurable return. What to actually do about it.
  • Expose a Lie: "AI agents will replace your team this year." Steelmanned, then dismantled with evidence and production experience — and why it persists.
  • The question to sit with: Of every AI initiative in your org — how many would survive "show me the line on the P&L where this shows up"?


No vendors. No hype. Just the signal.


👉 Follow Above the Noise wherever you listen — a new episode every two weeks. If it was useful, share it with one leader who's tired of guessing, and leave a rating so more people find it. Between episodes, find Shaun on LinkedIn.


🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


News Brief


Deep Dive — Agentic AI: hype vs. ships


Expose a Lie — "AI agents will replace your team this year"


Background / Context



Topics covered: enterprise AI, agentic AI, AI agents, AI hype, AI ROI, AI governance, build vs buy, agent washing, Gartner, MIT, Deloitte, Google Gemini, IBM watsonx, CIO, enterprise leadership


Host: Shaun Gehring — engineering leader who builds enterprise AI and sells nothing. Opinions his own.

Hosted on Acast. See acast.com/privacy for more information.

]]> Most AI advice comes from people who've never had to ship the thing. This first episode is the practitioner's read — from someone who builds enterprise AI for a living. The tested take on what's real, what's hype, and what to actually do. Case in point: the "autonomous agentic workforce" you're being sold is a roadmap slide, not a 2026 reality — and here are the receipts.


This episode of Above the Noise — the unbiased AI brief for enterprise leaders:

  • News Brief: Google's flagship launch was the cheaper model — the frontier race quietly became a price war · Every major vendor (IBM, ServiceNow/Accenture, Cognizant) pivoted to selling "agents in production + governance" — aka the cleanup crew for agents that didn't deliver.
  • Deep Dive — Agentic AI, hype vs. ships: Agents work in narrow lanes (one health system cut documentation time 42%). But Gartner says 40%+ of agentic projects get canceled by 2027, Deloitte says only 21% have mature governance, and MIT says 95% of GenAI pilots show no measurable return. What to actually do about it.
  • Expose a Lie: "AI agents will replace your team this year." Steelmanned, then dismantled with evidence and production experience — and why it persists.
  • The question to sit with: Of every AI initiative in your org — how many would survive "show me the line on the P&L where this shows up"?


No vendors. No hype. Just the signal.


👉 Follow Above the Noise wherever you listen — a new episode every two weeks. If it was useful, share it with one leader who's tired of guessing, and leave a rating so more people find it. Between episodes, find Shaun on LinkedIn.


🔗 Show Notes & Sources

Every stat in this episode is sourced. Check the work yourself:


News Brief


Deep Dive — Agentic AI: hype vs. ships


Expose a Lie — "AI agents will replace your team this year"


Background / Context



Topics covered: enterprise AI, agentic AI, AI agents, AI hype, AI ROI, AI governance, build vs buy, agent washing, Gartner, MIT, Deloitte, Google Gemini, IBM watsonx, CIO, enterprise leadership


Host: Shaun Gehring — engineering leader who builds enterprise AI and sells nothing. Opinions his own.

Hosted on Acast. See acast.com/privacy for more information.

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