Tubi is bringing its 300,000-title library directly into ChatGPT — and betting that the future of entertainment discovery looks a lot like asking a chatbot for recommendations.

The free streaming service, owned by Fox Corporation, announced Tuesday that it has launched a native app inside ChatGPT, becoming what it claims is the first major streamer to integrate directly into OpenAI’s conversational interface. Users can type “@Tubi” in any ChatGPT thread and describe what they’re in the mood for. “A movie that feels like a fever dream but isn’t horror,” for example, and receive curated results pulled from Tubi’s catalog, complete with a direct “Watch on Tubi” link that jumps straight to playback on web or mobile.

The move reflects a broader shift in how platforms are thinking about content discovery. Rather than scrolling through interfaces or searching by title, viewers are increasingly describing intent in natural language and platforms want to be present at that moment of decision. Mike Bidgoli, Tubi’s chief product and technology officer, framed it as a natural extension of how AI agents are becoming a primary way people navigate the internet. “Streaming should feel effortless,” he said. “At the core of Tubi is a deeply scaled personalization and discovery system, trained on more than 1 billion monthly hours of viewing from over 100 million active users.”

The timing aligns with Tubi’s release of its annual Stream 2026 study, which found that 80% of respondents said they would rather watch TV or movies than scroll social media — a signal that audiences are becoming more selective about how they allocate attention, and that discovery friction matters more than ever. For a free, ad-supported service like Tubi, reducing the distance between “I’m bored” and “I’m watching something” is a direct path to more impressions. For publishers broadly, the question of who gets paid as AI reshapes discovery is becoming increasingly urgent.

The ChatGPT integration is also a reminder that streaming platforms are no longer competing just with each other — they’re competing with every interface where a recommendation can surface and a viewing session can begin. The broader battle over how AI accesses and pays for content is playing out across the industry, with the open web losing ground as AI-driven answers reduce the need to click through to original sources.

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OpenAI has acquired Technology Business Programming Network (TBPN), a daily live video and audio podcast focused on business and technology news, the company announced Thursday.

The deal puts one of the world’s leading AI companies in control of an editorial brand — a move that mirrors a long history of tech giants using media acquisitions to shape industry conversation. TBPN, hosted by John Coogan and Jordi Hays, will continue to operate independently on editorial decisions, according to OpenAI, which framed the acquisition as part of its broader mission to shape the public conversation around AI.

“As I’ve been thinking about the future of how we communicate at OpenAI, one thing that’s become clear is that the standard communications playbook just doesn’t apply to us,” Fidji Simo, OpenAI’s CEO of Applications, wrote in a blog post announcing the deal. “We’re not a typical company. We’re driving a really big technological shift.”

The acquisition arrives as OpenAI prepares for a potential initial public offering, raising questions about what influence the company might wield over both industry coverage and national AI policy. OpenAI chief global affairs officer Chris Lehane cited to CNN’s Hadas Gold the “long history of companies and entities owning and acquiring media properties,” pointing to Westinghouse Electric’s ownership of CBS and Microsoft’s partnership with NBC to launch MSNBC. CNN’s Brian Stetler noted in his Reliable Sources newsletter that a live-streaming show with a small but influential audience — where executive moves are treated “like sports trades” — will now financially support one of the leading AI companies.

TBPN’s team will also contribute to OpenAI’s broader communications and marketing efforts, Simo said, helping the company bring AI to audiences “in a way that helps people understand the full impact of this technology on their daily lives.”

The acquisition follows a familiar pattern. Jeff Bezos bought The Washington Post, Marc Benioff acquired Time magazine, Adobe purchased Search Engine Land, and Arrow Electronics took on Electronic Buyers’ News in the early 2000s. Each deal gave a tech company a direct voice through an established media brand — a dynamic now playing out at a moment when AI companies are actively courting both regulatory goodwill and public trust.

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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.

Listen or watch:

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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

• 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.

Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel.

Frequently Asked Questions

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AI is already embedded in how people discover and consume news, from search to chat interfaces to automated summaries. So the question is no longer whether journalism will be shaped by AI. It’s how newsrooms maintain trust while experimenting responsibly.

In this episode of The Media Copilot podcast, Pete Pachal sits down with Alex Mahadevan, Director of MediaWise and a faculty member at Poynter, to unpack what media literacy looks like now that anyone can generate convincing content at scale. Alex shares how his background in data and local journalism shaped his approach to tools, why public-facing AI ethics policies matter, and what it will take for news organizations to bring audiences along for the next phase of the information ecosystem.

Why this matters

Trust is the core product. AI can either widen the trust gap with errors and low-quality content, or help rebuild credibility through transparency, better products, and clearer communication about how journalism is made. This conversation gets practical about what responsible AI use looks like, where disclosures help and where they can unintentionally slow innovation, and why the newsroom AI divide is becoming a real competitive advantage for organizations that adapt.

What we cover

• Alex’s journey into journalism and the global mission of MediaWise

• How AI is reshaping misinformation, trust, and newsroom transparency

• Practical uses of chatbots, coding agents, and AI workflows

• The widening divide between AI enthusiasts and skeptics in newsrooms

• Ethics, job concerns, and gray areas around AI-assisted writing

• What the future of news may look like beyond traditional articles

• Watch on YouTube
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About the 👤 guest 

🔗Alex Mahadevan

🔗Poynter / MediaWise 

🔗MediaWise

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.

Enjoyed this episode?

Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel.

For more AI tools and resources built for media professionals, visit MediaCopilot.ai.

Produced by Pete Pachal and Executive Producer Michele Musso
Edited by the Musso Media Team Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0All rights reserved. © AnyWho Media 2026

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