John Burn-Murdoch observed that when the full pipeline from AI-assisted code to actual product usage is tracked, there has been very little measurable uplift in real value delivered, despite higher activity levels.
Snapshot · The Prof G Pod with Scott Galloway
John Burn-Murdoch observed that when the full pipeline from AI-assisted code to actual product usage is tracked, there has been very little measurable uplift in real value delivered, despite higher activity levels.
Where this was said
At 45:40 · chapter starts 43:19
Scott introduces the counter-narrative John has been developing: the collapse in junior hiring that everyone attributes to AI actually started well before ChatGPT, aligning with the rise of fully remote work in 2020. John Burn-Murdoch explains that an enormous amount of research energy has been spent examining AI's impact on employment while very little has been devoted to the radical transformation in working conditions brought about by remote work — despite the fact that it fundamentally changed the worker-employer relationship, the hiring process, and the nature of daily tasks [1] — John Burn-Murdoch "Everyone blamed AI for the collapse in junior hiring. But the data says the pullback started in 2020 when remote work took off — three year…" 43:19 . Emerging studies are starting to show that fully remote working was a major driver of reduced junior hiring: once work became a series of digital tasks done over Slack, it became natural to ask whether those tasks could be done by someone far away — or by agentic AI. The solution, Burn-Murdoch argues, is not a return to five-day mandates (which create their own problems) but a hybrid model of three to four days in the office, which the evidence shows benefits both juniors and managers [2] — Scott Galloway "Remote work pre-dates AI in junior hiring decline: The pullback in junior hiring began when remote work took off in 2020, well before ChatG…" 43:19 . The discussion segues into the noisy AI productivity research landscape, where John notes that headline metrics of activity don't necessarily translate to real delivered value.
The pullback in junior hiring began when remote work took off in 2020, well before ChatGPT arrived, suggesting remote work — not AI — may be the primary culprit for young workers' labour market struggles.
Everyone blamed AI for the collapse in junior hiring. But the data says the pullback started in 2020 when remote work took off — three years before ChatGPT. When work became a string of digital tasks done over Slack, it was natural for managers to wonder why they needed anyone in the room.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
Tool-focused apps like PuffCount are poor candidates for ad monetization because users don't stay in-session long enough.
A hard paywall is a screen that blocks all app features unless the user pays or starts a free trial — it cannot be dismissed.
Mobile apps are primarily monetized through either ads (best for games) or in-app purchases/subscriptions (best for tools).
According to the episode, YouTube outperforms every other social platform for building trust and driving SaaS conversions.
Vasco stated that the majority of his app's user base came directly from his YouTube channel.
SEO Bot features a 'Boost My Domain Rating' button that routes users directly to Listing Bot, an example of in-product cross-selling.
The founder's entire product portfolio is AI-related, making it easier to package products attractively for directories.
The founder attached their SaaS demo to the trending debate about whether AI coding is actually good enough to build a full SaaS product.
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