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OtherAround 25 minutes per episode·Free

Me, Myself, and AI Podcast

3.6

Consistently professional interviews about organisational adoption rather than technology, which fills a genuine gap. The corporate sponsorship keeps the conversations politer than they need to be.

What We Liked

  • Focus on organisational change rather than model capability is genuinely rare
  • Guests are practitioners inside real companies with real constraints
  • Episode length respects your time
  • Consistent interview quality across a long back catalogue

What Could Be Better

  • Consulting sponsorship keeps the conversation guarded
  • Failures are discussed euphemistically if at all
  • Very little technical content for a practitioner audience
  • Some episodes read as extended case studies for the sponsor

Detailed review

Most AI podcasts talk about models, capabilities and research. This one talks about organisations, which is a smaller and more useful niche than it sounds. The interviews are with executives who have actually deployed AI inside large companies, and the questions are about change management, resistance, measurement and organisational structure rather than architecture. For anyone whose obstacle is people rather than technology, that focus is genuinely valuable and largely unavailable elsewhere.

The guest selection is the main strength. These are people inside real companies with real constraints, budgets and internal politics, describing what they attempted and how it went. The recurring themes across episodes are instructive in themselves. Data quality problems appear far more often than model problems.

Adoption failures are usually about workflow and trust rather than accuracy. Successful deployments tend to be narrower than the initial ambition. Hearing that repeatedly from different industries is a useful corrective to the assumption that the hard part is the technology. Episode length is well judged at around twenty five minutes.

Long enough for substance, short enough to fit a commute, and edited tightly enough that there is little filler. Compared with the three hour interview format that dominates this space, the discipline is welcome and makes the back catalogue actually navigable. Production quality is consistently high, which sounds like a minor point and matters over a long series. The hosts prepare, the questions are structured, and episodes do not wander.

The sponsorship is the thing to keep in mind throughout. This is produced with a major consulting firm, and consulting firms sell AI transformation services to exactly the kind of companies being interviewed. That does not make the content dishonest and it does shape it. Conversations stay positive, difficulties are described diplomatically, and the possibility that a particular initiative was a waste of money is not really available as a conclusion.

The most instructive interview would be with someone whose deployment failed and who is willing to say why, and that episode is not going to appear here. Failure discussion is consequently thin. Guests describe challenges rather than mistakes, and the language softens the further it gets from success. Anyone listening for a candid account of what goes wrong will need to read between the lines, and the signal is there if you listen for what is not said.

Technical content is minimal by design. A practitioner wanting to understand implementation detail will find nothing here, and that is fair given the intended audience of executives and managers. It does mean this is a supplement rather than a primary resource for anyone building things. Three point six.

A well made podcast filling a real gap in coverage of organisational adoption, with credible guests and a format that respects your time. Marked down for a sponsorship arrangement that keeps every conversation more comfortable than the subject deserves.

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The verdict.

Worth subscribing to if your problem is getting AI adopted inside an organisation rather than getting a model to work. Listen with an awareness of who pays for it.