The University of Chicago Press Podcast
The University of Chicago Press Podcast

Joseph Turow, "The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age" (U Chicago Press, 2026)

03 July 2026 1:07:04 New Books Network

Listen to episode

About this episode

A respected voice on technology shows how seemingly simple ads help dismantle democracy and public discourse.

Whether you’re intentionally shopping or casually browsing social media, something is following you: ads. Their creators seem to know your income bracket, politics, age, location, medical conditions, and tastes in clothing, food, and romantic partners. As advertising firms use predictive AI to discover your hot buttons and generative AI to push them, your online world becomes an increasingly bespoke—and isolated—place. The fervid competition around personalization in digital marketing has given rise to an ecosystem of advertisers, media outlets, tech companies, and retailers who monetize your data while threatening the health of our media, discourse, and sense of community. In this urgent book, award-winning author Joseph Turow shows how we got here, and how to change direction.The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age (University of Chicago Press, 2026) shatters common beliefs about advertising history by showing that individualized ads are not new. Today’s AI-enabled advertisers draw on past aspirations and assumptions about personalization while weaponizing data in unprecedented ways that drive social fragmentation and the disappearance of shared social reality. Informed by interviews with marketing insiders and covering the latest technology advances, Turow accessibly explains how artificial intelligence sifts through our data to tag and target us wherever we go with personalized videos, pictorial billboards, audio messages, and more. A logical next step for advertiser support is tailored entertainment and news, a shift that further destroys the common ground necessary for a functioning democracy.

A must-read for all who care about the future of public discourse, The Problem with Personalization reveals how targeted advertising has altered how we’re seen and what we see in return.

Learn more about your ad choices. Visit megaphone.fm/adchoices

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The University of Chicago Press Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.