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Unlocked Professional: AI and Future of Work

Hosted by Jeff Midland | AI & Future of Work Enthusiast

Most companies are stuck in "experimentation theater". Buying AI tools that go nowhere while their teams are exhausted by the hype. Welcome to The Unlocked Professional , where we stop playing with AI and start running it like a business operation.

14 episodes · publishes weekly · latest 2026-06-24

Rank

#138

Substance

37.3

/ 100

Why it scores where it does

Unlocked Professional: AI and Future of Work ranks #138 on The B2B Podcast Index with a substance score of 37.3 out of 100, scored across 3 recent episodes. It scores highest on guest caliber and insight density. Melissa Reeve is a credible practitioner with 25 years in organizational change and a relevant book, with real exposure to digital/agile transformation, but the transcript presents her more as a consultant/author/thought-leader than someone who has executed AI transformation at scale inside operating companies.

The five-dimension breakdown

Averaged across 3 recently scored episodes, with cited evidence.

Insight Density

7.3 / 20

There are a few genuinely useful concepts (focus framework, learning flywheel, bidirectional knowledge flow, J-curve), but they're stretched across 48 minutes with heavy repetition of the same piano/washing-machine/car analogies and a lot of host monologuing.

“So the F starts with fit... The O is organizational pull... And the C is capabilities... The U is underlying data... And the S stands for success metrics”

“what I call continuous partial execution. And we're starting up so many prompts that it it takes us a minute to figure out which of these 200 tabs are open”

Originality

7.0 / 20

The framing of 'random acts of AI' and the 1911 operating system is a mildly fresh packaging, but most claims (washing machine analogy, Blockbuster/Netflix, piano metaphor, COE/center of excellence) are well-worn ideas that circulate widely in AI-transformation discourse.

“Most companies right now are trying to win a race in a carb that's built over a hundred years ago”

“random acts of AI, which is the way we've rolled AI out is what I call the hand wave”

Guest Caliber

10.3 / 20

Melissa Reeve is a credible practitioner with 25 years in organizational change and a relevant book, with real exposure to digital/agile transformation, but the transcript presents her more as a consultant/author/thought-leader than someone who has executed AI transformation at scale inside operating companies.

“She has spent 25 years helping over one million people learn how to work better together”

“I spent some time on the factory floor of Hino Motor Company and I got to see the Toyota production system in action”

Specificity & Evidence

7.0 / 20

A handful of concrete references appear (Moderna's 15 drugs in 5 years, WEF job numbers, Google-Anthropic investment, PwC prompting parties), but most are second-hand stats and the bulk of the conversation stays at the level of analogy and general guidance without metrics, named clients, or detailed cases.

“their AI North Star is to release 15 new drugs in five years with the help of AI”

“the World Economic Forum anticipates, I think it's something like 72 million jobs will be lost because of AI. And they anticipate 98 million jobs will be born”

Conversational Craft

5.7 / 20

The host rarely pushes or challenges; questions are friendly setups and the host frequently delivers long agreeing monologues ('couldn't agree with you more') rather than probing follow-ups, with even a meta-moment of uncertainty about turn-taking.

“I couldn't agree with you more”

“I never know like I never know if you want me to add on to that or if you just want to keep going”

Standout episodes

  • Hyper Adaptive: How to Rewire Your Entire Organization for AI | Melissa Reeve

    2026-06-10

    42
  • Goldman Sachs. BCG. Then She Walked Away to Build a Brand | Kelly He-Sun

    2026-06-24

    36
  • Why Your Best Employees Leave — And How Artificial Intelligence Can Predict It First | Tysha Tolbert

    2026-06-17

    34

Rank over time

First period on the Index - history builds from here.

Episodes

3 scored on substance · 14 tracked in total.

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