Delivered every Thursday at 10 a.m. ET, this Media Briefing highlights the newest developments and trends shaping the media landscape. Explore more insights from this ongoing series below:
This edition delves into the rapidly evolving and highly competitive AI ecosystem. Industry coalitions, technology providers, and emerging startups are all vying to define AI protocols and establish marketplaces that empower publishers to monetize their content effectively.
- Unpacking the AI “land grab” phenomenon and its potential advantages for content publishers
- The Economist’s debut of a video series, OpenAI and Meta’s rollout of AI-driven video applications, and other key updates
Decoding the AI “Land Grab”: Opportunities for Publishers Amidst Fierce Competition
The AI sector is witnessing an intense rush as various players strive to set the foundational rules and frameworks that will govern AI content usage and monetization. This surge has created a bustling environment filled with buzzwords and innovation alike.
From industry alliances racing to establish universal AI standards, to vendors unveiling content marketplaces, and a host of others introducing provenance verification and licensing solutions, the AI content ecosystem is becoming increasingly saturated.
Publishers report receiving a steady stream of proposals from AI startups and advertising technology firms eager to build platforms that convert the insatiable demand of large language models (LLMs) for premium content into revenue streams.
“We’ve identified over a dozen-and possibly upwards of fifteen-marketplaces currently engaging with media companies, each offering distinct value propositions,” shared a senior executive from a major publishing house, speaking anonymously due to confidentiality agreements. “These initiatives come from diverse backgrounds: some are founded by engineers formerly involved in LLM research, others by established tech giants, and some by market-savvy entrepreneurs. It’s encouraging to see such focused dedication across the board.”
The standards arena is equally bustling. The IAB Tech Lab continues to gain traction among publishers, hosting well-attended workshops such as the one at Dmexco Cologne last September, with another scheduled in New York City. Additionally, the Really Simple Licensing Group recently introduced an open, machine-readable licensing standard that enables web publishers to embed clear terms for AI content usage directly within robots.txt files.
Despite the crowded landscape, publishers remain optimistic. “Half a year ago, AI monetization wasn’t on anyone’s radar; now, the challenge is managing the abundance of options,” remarked another publishing leader. “But this momentum is a positive sign.”
Historically, the digital media industry has seen multiple competing efforts to establish measurement and privacy standards before a dominant framework emerges. Publishers prioritize the establishment of clear, enforceable standards for AI content detection, attribution, and compensation, regardless of which entity leads the charge.
Simon Wistow, co-founder of Fastly, commented, “While a single unified standard would be ideal, the reality is that multiple ideas surface simultaneously. Not everyone is fully aware of all ongoing initiatives, but eventually, a consensus standard tends to prevail. It’s a familiar pattern.”
Attention is now focused on Microsoft’s AI-powered content marketplace pilot, which remains under wraps regarding participating publishers. Meanwhile, CDN providers like Cloudflare and Fastly are intensifying efforts to shield publishers from unauthorized AI scraping, actively participating in initiatives such as the IAB Tech Lab’s CoMP framework and the newly formed Really Simple Licensing Collective, which includes major players like Reddit, Yahoo, and People.Inc.
Other notable entrants include Perplexity, which promotes its Comet browser to demonstrate licensed content integration in AI-assisted web browsing, and startups like Prorata.ai, which offers automated licensing pipelines between publishers and AI companies. Tollbit provides an infrastructure layer enabling publishers to control and monetize AI access to their content.
Paul Bannister, Chief Revenue Officer at Raptive, observed, “A year ago, Tollbit was virtually alone in exploring AI monetization. Now, there are over a dozen companies and multiple trade groups actively involved, alongside tech giants like Microsoft and Cloudflare. Everyone anticipates this market will explode within the next five years.”
Publishers are no strangers to the influx of intermediaries promising to transform emerging technologies into revenue. While programmatic advertising once faced similar challenges, the AI marketplace is still in its infancy, with many pilots underway but few definitive solutions.
Discussions around programmatic AI payments, particularly those based on Retrieval-Augmented Generation (RAG) models, have taken place in informal industry workshops. However, publishers remain wary of complex middlemen structures that impose high fees without delivering proportional value.
One proposed model involves a utility-style clearinghouse that takes a modest commission-around 5%-to facilitate transparent and efficient transactions. This approach aims to avoid the pitfalls experienced in programmatic advertising, where excessive intermediaries diluted publisher revenues.
According to a senior executive at a leading business publication, while many AI marketplace proposals are promising, the sheer volume necessitates a rigorous vetting process. “We focus on partners who meet all our criteria and demonstrate a clear path to success, balancing that against the significant onboarding costs involved.”
However, a less optimistic note comes from the observation that major LLM providers remain hesitant to fully engage financially. “The solutions are essentially ‘waiting for Godot’-they’re ready but waiting for the big players to commit funding,” the anonymous executive added.
Insights from Industry Leaders: Publisher Negotiation Power in AI Monetization
Publishers emphasize the importance of leveraging their content assets effectively when negotiating with AI marketplaces and LLM operators to secure fair compensation.
Key Industry Metrics to Watch
- The IAB recently adjusted its forecast for U.S. advertising expenditure growth in 2025 down to 5.7% from an earlier estimate of 7.3%, citing concerns over tariffs and broader economic uncertainties.
- Approximately 20% of U.S. adults now regularly consume news via TikTok, a significant increase from just 3% in 2020, highlighting shifting news consumption habits.
- Robert Thomson, CEO of News Corp., earned a total compensation package of $20.6 million in fiscal year 2025.
- Hearst UK reported a 6.5% decline in total revenue for 2024, down to £104.6 million, primarily due to reduced digital advertising income linked to changes in search algorithms.
Recent Highlights and Developments
A Day in the Life: Stephanie Wu, Editor-in-Chief of Eater
- Wu manages her workflow using Slack notifications, a color-coded calendar, and Google Docs for task tracking.
- She consistently achieves “Inbox Zero,” processing around 200 emails daily.
Learn more about her productivity strategies in the latest episode of the Digiday Podcast.
Cloudflare’s Robots.txt Update: Adapting to the AI Era
Cloudflare has enhanced its Content Signals Policy, modernizing the traditional “Honor System” by enabling publishers to specify how AI crawlers may use their scraped content. However, without enforceable mechanisms, concerns remain that AI platforms might still exploit creators’ work without proper remuneration.
Digiday Publishing Summit Fall 2025: On-Demand Sessions
Themed “AI Mode,” this year’s summit underscored the transformative impact of AI on digital media. Members can access full session recordings to catch up on discussions from the Miami event.
Content Creators Respond to Rising AI Scraping
- As AI-generated traffic surges, creators are increasingly taking legal and technical measures to safeguard their intellectual property.
- By late 2025, six talent managers and creators reported escalating concerns about unauthorized AI scraping, with half pursuing legal action to block AI bot access.
The New York Times’ Cooking Vertical: Engaging Subscribers with Personality-Driven Video
- The Times launched a new baking series and newsletter aimed at younger audiences, offering free access to featured recipes to attract subscribers.
- Monetization strategies include advertising within videos and newsletters, supporting subscriber growth efforts.
Industry Reading Recommendations
The Economist’s New Video Initiative
The Economist introduced “The Economist Insider,” a biweekly video show featuring interviews with global leaders and thinkers, hosted by senior editors.
Financial Times’ AI-Personalized Messaging Boosts Conversions
Reports indicate that the Financial Times’ AI-driven paywall messaging has quadrupled subscription conversion rates, showcasing the power of personalization.
Newsletter Best Practices from The New York Times
The Times recommends newsletters that combine compelling visuals, a distinctive host voice, concise content, and an intimate tone to maximize reader engagement.
OpenAI Launches Sora 2: AI-Powered Video Creation App
OpenAI unveiled Sora 2, a social media app enabling users to generate videos with audio by inputting text prompts, leveraging AI-generated scenes.
Meta Introduces Vibes: AI-Generated Short-Form Video Feed
Meta’s new feature, Vibes, integrated into its Meta AI app, allows users to create and share AI-generated short videos, expanding creative possibilities on the platform.
