
On this week's episode of the podcast, I am joined by Brian Albrecht, the Chief Economist at the International Center for Law and Economics. We explore the complex intersection of generative AI and labor economics, alongside a deep dive into the regulatory and economic implications of personalized pricing models. The podcast is tethered to two articles that Brian recently published: You are not a horse, from his Substack, Economic Forces; and Eliminate ‘personal pricing’ and you risk harming consumers, which he published as an op-ed in the Financial Times.Among other things, we discuss:Whether humans will face the same economic obsolescence as horses after the introduction of the internal combustion engineHow the redistribution of consumer savings from automated services creates new employment opportunities in diverse service sectorsIf the historical stability of labor's share of income can survive the rapid advancement of generative artificial intelligenceWhat long-term productivity gains from previous technological revolutions reveal about the potential economic trajectory of modern AIWhy government policy responses to automation might inadvertently hinder productivity by imposing restrictive taxes on data and computationHow personalized pricing models actually improve market efficiency by reducing the deadweight loss associated with traditional discounting methodsWhen the public's perception of fairness in pricing conflicts with the economic reality of supply and demand for scarce resourcesThanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:INCRMNTAL. True attribution measures incrementality, always on.Branch. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.The Mobile Dev Memo podcast is available on:SpotifyYouTubeApple Podcasts
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