Signal//Noise #023 - AI in the Workplace episode artwork

EPISODE · Jun 14, 2026 · 37 MIN

Signal//Noise #023 - AI in the Workplace

from Signal // Noise · host Chris Loehr & Bob Miller

95 percent of corporate AI pilots fail. The bigger problem is where your data goes when they do.Companies poured tens of billions into generative AI, yet MIT found that 95 percent of enterprise pilots returned nothing measurable. On this episode of Signal // Noise, Chris Loehr and Bob Miller examine why most AI projects fail and the security problem hiding underneath. When sanctioned pilots stall, employees quietly route real business data through consumer tools, creating ungoverned shadow AI exposure. We run the same story through five AI engines, Claude, ChatGPT, Perplexity, Grok, and Gemini, then compare their analysis on air. Learn the failure pattern, the data governance root cause, and the controls that actually contain the risk.WHAT WE COVER- The MIT NANDA finding that 95 percent of GenAI pilots show no profit-and-loss impact- The "learning gap" and why model quality is not the reason pilots fail- How budget goes to sales and marketing while the real return sits in back-office work- The build-versus-buy success gap, and the vendor bias to watch for in that claim- The shadow AI economy, where over 90 percent of workers use unsanctioned tools- How failed adoption becomes ungoverned data exposure- Gartner's forecast that 40 percent of agentic AI projects get canceled by 2027KEY TAKEAWAYS- AI project failure and AI security exposure share one root cause, weak governance- You cannot govern AI use you have not inventoried, so discovery comes first- Banning consumer AI tools tends to push usage underground rather than stop it- The fix for the failure rate and the fix for the risk are the same program of workABOUT THE SHOWSignal // Noise is a cybersecurity podcast where Chris Loehr and Bob Miller break down the latest security incidents, threats, and trends. Subscribe for weekly analysis that helps security professionals and business leaders stay ahead of emerging threats.RESOURCES- Original article: https://trullion.com/blog/why-95-of-ai-projects-fail-and-why-the-5-that-survive-matter/- MIT NANDA, The GenAI Divide: State of AI in Business 2025 (via Fortune): https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo- Gartner, Over 40% of Agentic AI Projects Will Be Canceled by End of 2027: https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027- Supporting files: https://tinyurl.com/C-B-QuickPicksTAGS cybersecurity, infosec, shadow AI, AI governance, generative AI, AI security, MIT AI report, 95 percent AI fail, agentic AI, AI risk, data governance, enterprise AI, AI adoption, CISO, IT security, Claude AI, ChatGPT, Gemini, Perplexity, Grok, AI comparison, Signal Noise podcast

95 percent of corporate AI pilots fail. The bigger problem is where your data goes when they do.Companies poured tens of billions into generative AI, yet MIT found that 95 percent of enterprise pilots returned nothing measurable. On this episode of Signal // Noise, Chris Loehr and Bob Miller examine why most AI projects fail and the security problem hiding underneath. When sanctioned pilots stall, employees quietly route real business data through consumer tools, creating ungoverned shadow AI exposure. We run the same story through five AI engines, Claude, ChatGPT, Perplexity, Grok, and Gemini, then compare their analysis on air. Learn the failure pattern, the data governance root cause, and the controls that actually contain the risk.WHAT WE COVER- The MIT NANDA finding that 95 percent of GenAI pilots show no profit-and-loss impact- The "learning gap" and why model quality is not the reason pilots fail- How budget goes to sales and marketing while the real return sits in back-office work- The build-versus-buy success gap, and the vendor bias to watch for in that claim- The shadow AI economy, where over 90 percent of workers use unsanctioned tools- How failed adoption becomes ungoverned data exposure- Gartner's forecast that 40 percent of agentic AI projects get canceled by 2027KEY TAKEAWAYS- AI project failure and AI security exposure share one root cause, weak governance- You cannot govern AI use you have not inventoried, so discovery comes first- Banning consumer AI tools tends to push usage underground rather than stop it- The fix for the failure rate and the fix for the risk are the same program of workABOUT THE SHOWSignal // Noise is a cybersecurity podcast where Chris Loehr and Bob Miller break down the latest security incidents, threats, and trends. Subscribe for weekly analysis that helps security professionals and business leaders stay ahead of emerging threats.RESOURCES- Original article: https://trullion.com/blog/why-95-of-ai-projects-fail-and-why-the-5-that-survive-matter/- MIT NANDA, The GenAI Divide: State of AI in Business 2025 (via Fortune): https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo- Gartner, Over 40% of Agentic AI Projects Will Be Canceled by End of 2027: https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027- Supporting files: https://tinyurl.com/C-B-QuickPicksTAGS cybersecurity, infosec, shadow AI, AI governance, generative AI, AI security, MIT AI report, 95 percent AI fail, agentic AI, AI risk, data governance, enterprise AI, AI adoption, CISO, IT security, Claude AI, ChatGPT, Gemini, Perplexity, Grok, AI comparison, Signal Noise podcast

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Signal//Noise #023 - AI in the Workplace

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Techlore Surveillance Report Techlore Techlore Surveillance Report is your weekly deep-dive into the privacy and security news that matters for your digital freedom. Hosted by Henry Fisher, founder of Techlore and long-time digital rights educator, each episode cuts through the noise to bring you carefully selected stories with the context, analysis, and historical perspective you need to truly understand what's happening to protect yourself (and others!) in the digital space.Topics covered include:• Privacy tool updates and vulnerabilities• Data breaches and cybersecurity incidents• Surveillance technology and government overreach• Big Tech privacy policies and practices• Encryption and security standards• Digital rights legislation and court cases• Open-source software developments• Corporate data practices and accountabilityWhether you're a beginner trying to stay informed or a seasoned expert tracking the ecosystem, Surveillance Report has Explicit Tri-Cities Mixtape 3cmxtp [email protected], mp3, or Download LinkAll Genres welcome to submit music.We aim to be a signal boost for PNW Musical Artists, and offer a playlist that will be as diverse as the artists actively creating music in the Tri-Cities, PNW, and beyond.Also, we will feature interviews with local artists, venue owners, journalists, DJs, musically tangential people.Logo Designed by Heather Yu Williamson (@brownie.pops) Explicit Modern Noise Media Suplex City Limits Suplex City Limits is an uncensored comedy pro wrestling podcast featuring weekly guests. Explicit The Most Important Question Important, Not Important You already know things are broken. You read the news, you listen to the analysis, you've got the outrage. What you don't have is a plan.The Most Important Question — 6x Webby-nominated, 2x Signal Award-nominated — is a weekly conversation with one person who stopped asking "what can I do?" and went and found out. Not pundits. Not commentators. The scientists, doctors, nurses, journalists, farmers, activists, and policymakers who are doing the actual work on the frontlines of climate, public health, democracy, AI, food, water, medicine, and justice.Host Quinn Emmett goes deep with each of them — the infectious disease doctor building new outbreak surveillance tools, the investigative journalist who traced how forever chemicals got into 97% of our blood, the economist building emergency lifeboats for foreign aid that got axed overnight, one of the greatest writers alive reckoning with the history we were never taught — and every conversation ends with something nobody else gives Explicit

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This episode was published on June 14, 2026.

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95 percent of corporate AI pilots fail. The bigger problem is where your data goes when they do.Companies poured tens of billions into generative AI, yet MIT found that 95 percent of enterprise pilots returned nothing measurable. On this episode of...

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