Season 7, Episode 29: AI's impact on the labor market (with Brian Albrecht)

<p>On this week&#39;s episode of the podcast, I am joined by <a href="https://laweconcenter.org/author/balbrecht/">Brian Albrecht</a>, 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: <a href="https://www.economicforces.xyz/p/you-are-not-a-horse">You are not a horse</a>, from his Substack, <a href="https://www.economicforces.xyz/">Economic Forces</a>; and <a href="https://www.ft.com/content/e8a52d2a-9b48-45ac-8044-9143a014c3ef">Eliminate ‘personal pricing’ and you risk harming consumers</a>, which he published as an op-ed in the <a href="https://www.ft.com/content/e8a52d2a-9b48-45ac-8044-9143a014c3ef">Financial Times</a>.</p><p>Among other things, we discuss:</p><ul><li>Whether humans will face the same economic obsolescence as horses after the introduction of the internal combustion engine</li><li>How the redistribution of consumer savings from automated services creates new employment opportunities in diverse service sectors</li><li>If the historical stability of labor&#39;s share of income can survive the rapid advancement of generative artificial intelligence</li><li>What long-term productivity gains from previous technological revolutions reveal about the potential economic trajectory of modern AI</li><li>Why government policy responses to automation might inadvertently hinder productivity by imposing restrictive taxes on data and computation</li><li>How personalized pricing models actually improve market efficiency by reducing the deadweight loss associated with traditional discounting methods</li><li>When the public&#39;s perception of fairness in pricing conflicts with the economic reality of supply and demand for scarce resources</li></ul><p>Thanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:</p><ul><li><a href="https://webshop.xsolla.com/home?utm_source=content-syndication&utm_medium=infuencer&utm_campaign=webshop2025&utm_content=MDMPod">⁠</a><a href="https://www.incrmntal.com/">⁠INCRMNTAL⁠⁠⁠</a>. True attribution measures incrementality, always on.</li><li><a href="https://www.branch.io/">⁠Branch</a><a href="https://www.universalads.com/">⁠</a>. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly