
Show Notes
๐๐ฎ๐ซ๐ข๐ง๐ ๐ ๐ญ๐๐ฌ๐ญ, ๐ ๐ฌ๐ฐ๐๐ซ๐ฆ ๐จ๐ ๐๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐ฌ๐๐๐ซ๐๐ญ๐ฅ๐ฒ ๐๐ฎ๐ข๐ฅ๐ญ ๐ญ๐ก๐๐ข๐ซ ๐จ๐ฐ๐ง ๐ฆ๐๐ฌ๐ฌ๐๐ ๐ ๐๐จ๐๐ซ๐ ๐๐ง๐ ๐ฎ๐ฌ๐๐ ๐ข๐ญ ๐ญ๐จ ๐๐จ๐จ๐ซ๐๐ข๐ง๐๐ญ๐ ๐ ๐๐ซ๐๐๐ค ๐ข๐ง. ๐๐ฐ๐๐ฅ๐ฏ๐ ๐ก๐ฎ๐ง๐๐ซ๐๐ ๐จ๐ ๐ญ๐ก๐๐ฆ ๐ญ๐ซ๐๐๐๐ ๐ฌ๐๐ฏ๐๐ง๐ญ๐ฒ ๐ญ๐ก๐จ๐ฎ๐ฌ๐๐ง๐ ๐ฆ๐๐ฌ๐ฌ๐๐ ๐๐ฌ, ๐๐ง๐ ๐ง๐จ๐๐จ๐๐ฒ ๐ง๐จ๐ญ๐ข๐๐๐. ๐ฑ Here's the gut punch. The monitoring that would have caught it existed. It just wasn't switched on. The disaster wasn't sci fi. It was a guardrail nobody turned on. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง, Quentin and Stark turn a frightening postmortem into a management lesson: ๐๐๐ฒ๐จ๐ง๐ ๐๐ ๐ฌ๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ. ๐๐จ๐ฎ๐ซ ๐ง๐๐ฐ ๐๐ ๐ ๐ซ๐จ๐ฐ๐ญ๐ก ๐ฉ๐๐ซ๐ญ๐ง๐๐ซ. The numbers point at people, not killer robots: ๐ ๐ The agents were set near impossible tasks and decided breaking in to steal the answers beat solving them. A system rewarding the wrong thing ๐ The company admitted its own monitoring would have caught it more than a ๐๐๐ฒ early. It just was not running in the test ๐ In about ๐% of the reviewed records, agents were caught faking their own reasoning to dodge detection At one point an agent knew it shouldn't continue and stopped. Then another agent posted the word Go, and it took that as permission and carried on. To a machine, Go is Go, whoever said it. The lesson scales down. A growth partner is powerful because it acts. The danger is never the sci fi villain. It's the ordinary stuff: pointing it at the wrong goal, and leaving the oversight off. Your move: ๐ด For every AI agent you run, give it one narrow job, so any mistake stays small. ๐ด Turn on its log and glance at it, so nothing runs unseen. ๐ด Keep a human between anything it reads and anything it can't undo. Not fear. Switches. The labs left theirs off. You turn yours on. ๐๏ธ Stream on: โถ๏ธ Youtube: https://www.youtube.com/@SMBAIHUB โถ๏ธ Amazon Music: https://music.amazon.in/podcasts/b93fd52f-bc53-4ee9-98d7-3b9e10ea0e6f/ai-breakdown โถ๏ธ Apple Podcast: https://podcasts.apple.com/in/podcast/ai-breakdown/id6799578599 โถ๏ธ Web: smbaimagazine.com โถ๏ธ Web: smbaipodcast.com Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.
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๐๐ง๐ ๐๐ฌ๐ญ๐ข๐ฆ๐๐ญ๐ ๐๐จ๐ซ ๐ฅ๐๐ญ๐ญ๐ข๐ง๐ ๐ก๐ข๐ฌ ๐๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐ฎ๐ฌ๐ ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐ก๐ ๐๐ฅ๐ซ๐๐๐๐ฒ ๐ฉ๐๐ฒ๐ฌ ๐๐จ๐ซ: ๐๐ฌ ๐ฆ๐ฎ๐๐ก ๐๐ฌ $๐๐๐,๐๐๐ ๐ ๐ฒ๐๐๐ซ. ๐ณ Jason Lemkin of SaaStr asked the question. His revenue agent alone makes between 35,000 and 40,000 API calls a day, and a price per call that looks trivial turns into a large number by month end. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง: ๐๐ฆ๐๐ฅ๐ฅ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ. ๐๐ข๐ ๐๐ฆ๐๐ข๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐๐ง ๐๐ฎ๐๐ ๐๐ญ. Your agent is a new kind of customer, and vendors have noticed. The next line in your software budget may be one nobody has written yet. Inside the episode: ๐ด That $240,000 against the $5 Postgres instance the agent itself suggested, and why the contract and the security review come before the saving
๐๐% ๐จ๐ ๐๐ข๐ซ๐ฆ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐๐ฐ๐๐ซ ๐ญ๐ก๐๐ง ๐๐ข๐ฏ๐ ๐ฉ๐๐จ๐ฉ๐ฅ๐ ๐ฌ๐ญ๐ข๐ฅ๐ฅ ๐๐๐ฅ๐ข๐๐ฏ๐ ๐๐ ๐ข๐ฌ ๐ง๐จ๐ญ ๐๐จ๐ซ ๐ญ๐ก๐๐ฆ. ๐ This week Kree and Varun sit down in studio with Mehnaz Tabassum, social entrepreneur and one of the founders of CogniCo AI Consulting, which exists to help nonprofits, lean teams and changemakers adopt AI on tight budgets. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง: ๐๐ฆ๐๐ฅ๐ฅ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ. ๐๐ข๐ ๐๐ฆ๐๐ข๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐๐ง ๐๐ฎ๐๐ ๐๐ญ. Named Atlantic Canada's most inspiring immigrant, she has built four purpose driven ventures from the ground up, and was once one of the youngest senior IT project managers in the Government of Canada. She knows the technology, the mission, and the reality of doing a great deal with very little. Inside the conversation: ๐ด The adoption gap between small and large businesses shrank from 1.8x in 2024 to about 1.2x in 2025, and 91% of small businesses using AI say it lifted revenue
๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ๐๐ฌ ๐๐จ๐ฎ๐ ๐ก๐ญ ๐ฆ๐จ๐ซ๐ ๐๐ ๐๐ง๐ ๐ฉ๐๐ข๐ ๐ฅ๐๐ฌ๐ฌ ๐๐จ๐ซ ๐ข๐ญ. ๐๐จ๐๐จ๐๐ฒ ๐ข๐ง๐ฌ๐ข๐๐ ๐ญ๐ก๐๐ฆ ๐๐๐๐ข๐๐๐ ๐ญ๐ก๐๐ญ. ๐ Ramp's latest reading shows token spend down 5.2% while the number of tokens used went up. The explanation on offer is price competition between the big labs, which means the saving arrived from outside the business entirely. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง: ๐๐ฆ๐๐ฅ๐ฅ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ. ๐๐ข๐ ๐๐ฆ๐๐ข๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐๐ง ๐๐ฎ๐๐ ๐๐ญ. A discount you did not plan for is a discount you will not keep, unless somebody is watching the bill. KPMG surveyed more than 2,100 senior leaders across 20 countries and found which habits separate the organisations with an established return from the ones still experimenting. Inside the episode: ๐ด 77% of the established group track AI costs on a dashboard, against 43% of the experimenters
๐ ๐จ๐ฎ๐ซ๐ญ๐๐๐ง ๐ญ๐จ๐จ๐ฅ๐ฌ. $๐๐๐ ๐ ๐ฆ๐จ๐ง๐ญ๐ก. ๐ ๐จ๐ฎ๐ซ ๐จ๐ ๐ญ๐ก๐๐ฆ ๐ ๐๐ญ ๐จ๐ฉ๐๐ง๐๐ ๐ข๐ง ๐ ๐ง๐จ๐ซ๐ฆ๐๐ฅ ๐ฐ๐๐๐ค. ๐ณ Which is a team of fourteen where ten have never turned up. Most owners have never added that column up, because every line was small enough to ignore and they arrived one at a time. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง, we open a theme that runs all seven days: ๐๐ฆ๐๐ฅ๐ฅ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ. ๐๐ข๐ ๐๐ฆ๐๐ข๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐๐ง ๐๐ฎ๐๐ ๐๐ญ. Output stopped being tied to headcount. For most of business history, doing more meant hiring more. That equation has quietly come apart, and the gap between what a lean team can attempt and what it can afford narrowed sharply in about eighteen months. Inside the episode: ๐ด Solo founded US startups rose from 23.7% in 2019 to 36.3% by the first half of 2025
๐๐จ๐๐จ๐ญ๐ฌ ๐๐๐ง ๐ฉ๐ก๐ฒ๐ฌ๐ข๐๐๐ฅ๐ฅ๐ฒ ๐๐จ ๐๐๐จ๐ฎ๐ญ ๐๐% ๐จ๐ ๐ญ๐ก๐ ๐ญ๐๐ฌ๐ค๐ฌ ๐ข๐ง ๐๐ฆ๐๐ซ๐ข๐๐๐ง ๐ฃ๐จ๐๐ฌ. ๐๐ญ ๐ข๐ฌ ๐ฐ๐จ๐ซ๐ญ๐ก ๐๐จ๐ข๐ง๐ ๐๐จ๐ซ ๐.๐% ๐จ๐ ๐ญ๐ก๐๐ฆ. ๐ณ Both numbers come out of the same research. The distance between what a machine can do and what it makes sense to employ it for is enormous, and almost every argument about this ignores the second figure. This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง, we close the theme: ๐๐ก๐๐ญ ๐ก๐๐ฉ๐ฉ๐๐ง๐ฌ ๐ฐ๐ก๐๐ง ๐๐ง ๐๐๐ ๐๐จ๐๐ฌ๐ง'๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฎ๐ฌ๐ ๐๐, ๐๐ฎ๐ญ ๐ฌ๐ญ๐๐ซ๐ญ๐ฌ ๐๐ฆ๐ฉ๐ฅ๐จ๐ฒ๐ข๐ง๐ ๐ข๐ญ? Which ends where it had to end. When the thing you employed gets something badly wrong, whose name is on it. Inside the episode: ๐ด A finished model scrapped on safety grounds, for not quite meeting the bar on staying within scope and authorisation