For years, publishers have lived between two business models: subscriptions and advertising. Now AI is putting pressure on both. In this episode of The Media Copilot podcast, Pete Pachal speaks with Colin Jeavons, founder and chairman of Nomix Group, to unpack what happens to the business of media when answer engines, agents, and AI-powered discovery tools begin to sit between audiences and publishers.
Key Takeaways
- The question of who gets paid when AI answers queries is unresolved.
- AI is replacing traditional discovery and cutting publishers from the loop.
- New monetization models are needed as AI becomes the content front door.
Listen or watch:
Drawing on decades of experience across publishing, search, and commerce technology, Jeavons argues that the biggest disruption is not simply AI summarization. It is the accelerating collapse of the old CPM-based advertising economy. As content explodes across social platforms, creator ecosystems, and AI-generated media, the supply of content keeps rising while the pool of ad dollars does not. That imbalance, he says, is forcing a reset.
At the same time, Jeavons sees a countertrend emerging: trust is becoming more valuable, not less. As audiences face a growing flood of low quality or machine generated information, publishers with expertise, authority, and niche value may find new strength in paid models, premium journalism, and smarter commerce strategies. The conversation explores what that means for newsrooms, review sites, AI discovery, shopping behavior, and the broader future of digital publishing.
Why this matters
AI is no longer just a tool layered onto the internet. It is increasingly becoming the interface through which people search, shop, compare, and decide. That has major implications for publishers whose businesses were built around traffic, clicks, and ad impressions. If AI answers reduce referrals and reshape consumer behavior, media companies may need to rethink not only distribution, but the economics behind their work.
This conversation looks past the hype cycle and gets into the harder question: what actually replaces the business models that no longer hold. Jeavons makes the case that quality journalism, expert reviews, and trusted vertical content are not disappearing. But the publishers that survive will likely be the ones that adapt quickly, invest in trust, and stop relying on scale for scale’s sake. It is a timely conversation for anyone thinking seriously about media, commerce, and the future of the open web.
What we cover
• Why Colin Jeavons believes 2026 is a turning point for media and AI
• The long shift from print and early web publishing to answer engines and agents
• Why the ad supported model is under more pressure than ever
• How AI generated content and user generated content are flooding the digital economy
• Why trust may become one of the most valuable products publishers can sell
• The future of review sites, affiliate commerce, and consumer buying behavior
• Why Jeavons believes premium journalism can regain value
• The case for micropayments and why publishers may have been too early with paywalls
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• Why Google may resist making AI mode the default
• What AI shopping engines could mean for discovery, conversion, and revenue
• The broader societal risks and opportunities AI creates beyond publishing
About the show
To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started.
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Frequently Asked Questions
AI-powered search features like Google AI Overviews, ChatGPT Browse, and Perplexity are summarizing publisher content directly in search results—reducing the need for users to click through to publisher websites. This shifts value from publishers to AI platforms, threatening the traffic-based revenue models that most news sites have relied on for over a decade.
Currently, most publishers receive no direct compensation when their content is used in AI-generated search summaries. Some major outlets have signed licensing deals with AI companies (AP, certain large newspapers with OpenAI), but the majority of publishers—especially smaller and local news organizations—receive no payment for AI use of their content.
Publishers are reporting measurable declines in search referral traffic as AI-powered search answers questions without requiring click-throughs. For ad-supported publishers depending on pageviews, this is a direct revenue threat. Subscription publishers are somewhat more insulated but still rely on search discovery to attract new subscribers unfamiliar with their brand.
Publishers are pursuing: litigation (like the New York Times’ lawsuit against OpenAI and Microsoft), GDPR-based challenges in Europe, lobbying for neighboring rights legislation following French and Australian models, and technical measures using robots.txt and paywalls to block specific AI crawlers. The legal landscape is evolving rapidly and varies by jurisdiction.
News organizations should diversify away from search traffic dependence by building direct reader relationships through newsletters and apps, creating content AI can’t easily replicate (exclusive data, original reporting, local knowledge), developing membership models, exploring licensing agreements with AI companies, and using tools like Tollbit to monetize AI bot access to their content directly.
