Graeme Codrington's Future of Work

The episode contains one genuinely useful and data-backed insight - the dramatic accuracy gap between medical professionals (95%) and laypeople (34%) using AI for diagnosis - but the remaining content is thin filler, Dunning-Kruger recaps, and a self-promotional framework pitch that adds little instructional value for a B2B operator.

“the accuracy and validity of the responses of these AI platforms plummeted to only about a third 34% accuracy, which is a disaster”

“large language models have no way of self checking themselves. They have no way of uh, applying the Dunning Kruger effect filter to themselves”

The medical-AI framing using real experimental data is a mildly fresh angle, but the core conclusions - expertise amplifies AI, AI augments rather than replaces - are recycled talking points heard constantly in AI commentary; the proprietary 5T model is presented without any non-obvious reasoning behind its structure.

“AI is never going to replace us as humans. AI is going to augment existing human expertise supercharged and make us bionic in what we do”

“The way you prompt it will enable it to get to a better answer for you”

This is a solo monologue by the host, a futurist consultant who references external research he did not conduct and spends significant airtime promoting his firm's discovery calls; there is no practitioner guest, no demonstrated at-scale operational experience, and the episode functions more as a thought-leadership marketing piece than expert testimony.

“Our team at Tomorrow Today has built a model that we call the 5T AI, uh, impact model that helps organizations to think about where and when AI can be best used”

“make sure you contact our team for a discovery call. We'd love to chat to you and take you into tomorrow's world today”

The Oxford study data provides genuine specificity - named institution, sample sizes of ~100 professionals and 1,300 laypeople, and the 95% vs. 34% accuracy figures - but the 5T model levels are described in vague, unverifiable terms, and the claim that '95% of our clients' are stuck at early stages is an unsupported internal stat.

“The Reasoning With Machines Laboratory, located at the University of Oxford in the uk”

“they took these scenarios firstly to a group of about a hundred medical professionals”

This is a solo monologue with no guest, no interviewer questions, no pushback, and no dialogue of any kind; the episode closes with an overt sales pitch for a discovery call, which undermines any pretense of neutral educational intent.

“Slightly different in the throw Forward Thursday studio this week. Maybe more of a PSA this week than a future focus.”

“make sure you contact our team for a discovery call. We'd love to chat to you and take you into tomorrow's world today”