Share

cover art for Why the Online Advertising Market is Broken

Scaling Laws

Why the Online Advertising Market is Broken

In December 2020, ten state attorneys general sued Google, alleging that the tech giant had created an illegal monopoly over online advertising. The lawsuit is ongoing, and just this January, new allegations in the states’ complaint were freshly unsealed: the states have accused Google of tinkering with its ad auctions to mislead publishers and advertisers and expand its own power in the marketplace. (Google told the Wall Street Journal that the complaint was “full of inaccuracies and lacks legal merit.”)

The complaint touches on a crucial debate about the online advertising industry: does it, well, work? This week on Arbiters of Truth, our series on the online information ecosystem, Evelyn Douek and Quinta Jurecic spoke with Tim Hwang, Substack’s general counsel and the author of the book “Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet.” Tim argues that online advertising, which underpins the structure of the internet as we know it today, is a house of cards—that advertisers aren’t nearly as good as they claim at monetizing our attention, even as they keep marketing it anyway. So how worried should we be about this structure collapsing? If ads can’t convince us to buy things, what does that mean about our understanding of the internet? And what other possibilities are there for designing a better online space?

More episodes

View all episodes

  • Founders & Founders: Brandon Mitchell of WriteSea

    43:55|
    Brandon Mitchell, founder of WriteSea, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the growing role of artificial intelligence in workforce development. WriteSea’s platform provides AI-driven career guidance, helping job seekers refine resumes, practice interviews, and navigate modern hiring systems that increasingly rely on automated screening tools. As policymakers and the public writ large assess the extent to which AI will disrupt the labor market, Brandon's efforts warrant particular attention. New tools such as WriteSea may play a key role in helping entry-level workers find jobs that align with their skillset. 
  • AI Consciousness with Anil Seth

    53:31|
    Anil Seth, Professor of Cognitive and Computational Neuroscience and Director of the Sussex Centre for Consciousness Science at the University of Sussex, joins Kevin Frazier, director of the AI Innovation and Law Program at the University of Texas School of Law and a Senior Editor at Lawfare, to examine whether artificial intelligence could ever be conscious.Drawing on Seth’s essay, “The Mythology of Conscious AI,” the pair attempt to define consciousness, develop the strongest arguments for and against machine consciousness, and assess what the current evidence can—and cannot—tell us. They also discuss the risks posed by AI systems that are perceived to be conscious and what AI labs, policymakers, and users should do amid profound uncertainty.
  • Matt Abrams on Trust and the Migration to the Digital Age

    48:18|
    Matt Abrams, technologist, investor, and co-founder of $1 Billion for Trust, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the collapse of institutional trust and how AI may accelerate — or potentially help reverse — that trend.The conversation explores Matt’s work to rebuild trust in information ecosystems, interpersonal relationships, and major institutions. Along the way, the duo examine the relationship between AI, information integrity, labor disruption, institutional legitimacy, and democratic resilience.
  • Founders & Founders: Matthew Schwartz of Virgo

    42:28|
    Matthew Schwartz, founder of Virgo, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss how AI is beginning to reshape gastroenterology. Virgo’s model is trained on one of the largest collections of endoscopy procedure videos ever assembled, opening new possibilities for earlier diagnosis, personalized treatment of diseases like inflammatory bowel disease, and faster clinical research.The duo also examine how medical imaging data can generate new “digital biomarkers,” what role AI might play in shortening clinical trials, and how regulators and healthcare institutions are grappling with the promise—and risks—of deploying AI in clinical environments.
  • Daniel Kokotajlo on AI 2040: Plan A

    01:03:17|
    Daniel Kokotajlo, former OpenAI researcher and executive director of the AI Futures Project, joins Kevin Frazier, Director of the AI Innovation and Law Program at Texas Law and Senior Editor at Lawfare, to detail his policy recommendation–AI 2040: Plan A. It’s a thorough analysis of a policy pathway to delaying superintelligence, which Daniel and his co-authors think is necessary to ensure that the disruptive effects of highly-capable AI systems do not outweigh the benefits. Kevin asks Daniel to explain scenario scrutiny, address feedback from other AI policy stakeholder such as Tom Davidson, and detail what led him to already alter his estimation of how likely it is that policymakers adopt Plan A.
  • DZ Kalman on the Role of Faith in AI Policy

    49:34|
    DZ Kalman, fellow at the Berkman Klein Center, research fellow at the Shalom Hartman Institute, senior advisor at Sinai & Synapses, and host of Belief in the Future, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to explore what religious traditions can teach AI governance.DZ and Kevin discuss religious responses to AI, Jewish technoculture, kosher supervision as a model for AI certification, and the limits of AI use in faith contexts. They also connect these traditions to contemporary debates about alignment, institutional trust, human dignity.
  • Founders & Founders: Laura Davis of USLege

    42:18|
    Laura Davis, founder of USLege, joins Kevin Frazier, the AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to dive into how USLege is leveraging AI to transform the way professionals monitor and respond to government activity.USLege’s platform aims to be the answer to the prayers of many policy stakeholders. It captures and analyzes legislative hearings, regulatory discussions, and committee proceedings as they happen, surfacing policy signals that often emerge long before a bill is formally introduced. Kevin and Laura talk about the fragmented information systems that shape American policymaking, how AI tools are transforming the practice of government affairs, and whether technologies like “live government listening” could make legislative activity more transparent and responsive to public demands.
  • Google's Kent Walker on Regulating Frontier AI

    26:42|
    Kent Walker, President of Global Affairs at Google and Alphabet, joins Kevin to discuss Google's proposal for a two-pronged approach to AI governance: a Frontier AI Regulatory Organization, which like FINRA, would operate as an independent, industry-based governance body overseen by a federal agency and the application of existing laws to widely-deployed, less capable systems.The two also discuss the timing behind this proposal and its relevance in light of the recent Hugging Face / OpenAI incident.Follow Kent: @kent_walker
  • The Politics and Politicking of AI with Assemblymember Alex Bores

    51:15|
    Assemblymember Alex Bores ran for Congress on a platform that in many ways centered on AI policy. He therefore drew considerable support as well as substantial opposition from interest groups across the country. Though Bores lost in the Democratic primary, his experience is worth exploring in detail.Alan and Kevin dive in with some key questions:what did he hear from voters on AI? are everyday New Yorkers worried about benchmarks being saturated?how did the millions of dollars coming into the race change its dynamics?what does this early episode in the political aspects of AI signal for the future of AI governance?what's the proper allocation of AI regulatory authority between states and the federal government?Follow Alex at @alexbores And, as always, get in touch with Kevin via @scaling_laws and @kevintfrazier